WO2024036838A1

WO2024036838A1 - Intelligent maintenance method and apparatus for range-extended vehicle, electronic device, and storage medium

Info

Publication number: WO2024036838A1
Application number: PCT/CN2022/138967
Authority: WO
Inventors: 孔彩霞; 肖岩; 张洪丹; 王野
Original assignee: 合众新能源汽车股份有限公司
Priority date: 2022-08-18
Filing date: 2022-12-14
Publication date: 2024-02-22
Also published as: CN115438811A

Abstract

An intelligent maintenance method and apparatus for a range-extended vehicle, an electronic device, and a storage medium. The method comprises: acquiring a range extender equivalent working mileage after engine maintenance and a range extender maintenance mileage in a time dimension, and calculating a mileage dimension health degree according to the range extender equivalent working mileage after engine maintenance and the range extender maintenance mileage in the time dimension (S11); acquiring calendar time after engine maintenance, and calculating a time dimension health degree according to a predetermined maintenance time (S13); determining and calculating a remaining maintenance health degree, a remaining maintenance time, and a remaining maintenance mileage of an engine according to the mileage dimension health degree and the time dimension health degree, and displaying a remaining maintenance percentage, the remaining maintenance time, and the remaining maintenance mileage (S15); and storing data in the mileage dimension and the time dimension during maintenance, and initializing the data in the mileage dimension and the time dimension after maintenance (S17). According to the method, accurate and intelligent maintenance prompts can be given for range-extended vehicles according to data such as vehicle driving habits, ambient temperature, inhalable particulate matter, and vehicle acceleration.

Description

Extended-range vehicle intelligent maintenance methods, devices, electronic equipment, and storage media

Technical field

The invention belongs to the technical field of vehicles, and in particular relates to an extended-range vehicle intelligent maintenance method, an extended-range vehicle intelligent maintenance device, an electronic device, and a computer-readable storage medium.

Background technique

With the increase in the number of extended-range vehicles, engine maintenance of extended-range vehicles has gradually attracted the attention of users. Existing maintenance plans for extended-range vehicle engines are generally based on regular or fixed-mileage maintenance, for example, one year or 10,000 kilometers, whichever comes first, for extended-range vehicle engines. However, the current maintenance plan for extended-range vehicle engines based on the above-mentioned fixed time or fixed mileage is only based on the oil characteristics in the vehicle, such as changes in oil characteristics of engine oil to determine the replacement mileage and replacement time. For extended-range vehicles, the engine The running time and operating characteristics are significantly different from the operation mode of traditional fuel vehicles. As long as the vehicle is started, the engine of traditional fuel vehicles will operate; while the engine of extended-range vehicles will only operate when there is a need for the range extender to work, and Each driver's habits are different, and the operating characteristics of the range extender are also obviously different. Based on the maintenance method of traditional fuel vehicles with regular or fixed mileage, maintenance predictions for range extender vehicles are not accurate and suitable.

Therefore, it is still very necessary and urgent to develop and design an intelligent maintenance method, device, electronic equipment and storage medium for extended-range vehicles that can integrate various indicators of extended-range vehicles to provide accurate intelligent maintenance prompts.

Contents of the invention

A first aspect of the present invention provides an intelligent maintenance method for extended-range vehicles. The method includes the following steps: obtaining the equivalent working mileage of the range extender after engine maintenance and the maintenance mileage of the range extender in the time dimension. According to the range extension after engine maintenance Calculate the mileage dimension health degree based on the equivalent working mileage and time dimension of the range extender maintenance mileage; obtain the calendar time after engine maintenance and calculate the time dimension health degree based on the scheduled maintenance time; arbitrate and merge based on the mileage dimension health degree and time dimension health degree Calculate the engine's remaining maintenance health, remaining maintenance time and remaining maintenance mileage, and display the remaining maintenance percentage, remaining maintenance time and remaining maintenance mileage; store the mileage dimension and time dimension data during maintenance, and initialize the mileage dimension and time after maintenance Dimensional data.

Optionally, obtaining the equivalent working mileage of the range extender after engine maintenance includes: multiplying the obtained objective mileage of the engine in each timing period and the mileage compensation factor to obtain the mileage traveled in each timing period after engine maintenance. ; Accumulate the mileage traveled in each timing period after engine maintenance to obtain the accumulated mileage after engine maintenance. The ratio of the accumulated mileage after engine maintenance and the scheduled maintenance mileage is multiplied by the first weighting coefficient to obtain the accumulated mileage after engine maintenance. The equivalent working mileage of the range extender.

Optionally, multiplying the ratio of the accumulated mileage after engine maintenance to the scheduled maintenance mileage by the first weight coefficient as the equivalent working mileage of the range extender after engine maintenance includes: waking up the hybrid controller, arbitrating After the actuator is powered on, it outputs the initial value of the accumulated mileage; the vehicle speed signal sent by the electronic stability system of the body is calculated in real time to obtain the accumulated value, and the accumulated value is multiplied by the mileage compensation factor and then accumulated to the initial value of the accumulated mileage. The accumulated mileage after accumulation is obtained by value; the accumulated mileage after accumulation is used as the accumulated mileage after engine maintenance; the ratio of the accumulated mileage after engine maintenance and the scheduled maintenance mileage is multiplied by the first weighting coefficient as the engine Equivalent working mileage of the range extender after maintenance.

Optionally, calculating the mileage dimension health based on the equivalent working mileage of the range extender after engine maintenance and the range extender maintenance mileage in the time dimension includes: in the mileage dimension, based on the range extender working mileage and the mileage after engine maintenance. The influence factor calculates the equivalent working mileage of the range extender; in the time dimension, the first influence value of the engine maintenance mileage is calculated based on the idle time, and the second influence value of the engine maintenance mileage is calculated based on the idle time; based on the equivalent working mileage of the range extender , the first influence value and the second influence value calculate the mileage dimension health.

Optionally, obtaining the mileage impact factor after engine maintenance under the mileage dimension includes: calculating the mileage impact factor of the driving habit factor based on the monitored and detected driving habit data; calculating the mileage impact factor of the driving temperature factor based on the monitored and detected driving temperature data. Factor; calculate the driving environment factor mileage compensation factor based on the monitored and detected particulate matter data in the environment; calculate the driving road condition factor mileage compensation factor based on the monitored and detected vehicle acceleration data; combine the driving habit factor mileage influencing factor and the driving temperature factor mileage The mileage impact factor after engine maintenance is obtained by summing the influence factor, the driving environment factor mileage compensation factor and the driving road condition factor mileage compensation factor.

Optionally, calculating the driving habit factor mileage influence factor based on the monitored and detected driving habit data includes: monitoring the brake pedal depth signal, calculating the mileage compensation factor of deep depression of the brake pedal; monitoring the deep depression of the accelerator pedal signal, and calculating the deep depression signal. The accelerator pedal mileage compensation factor; the driving habit factor mileage influencing factor is obtained by summing the deep brake pedal mileage compensation factor and the deep accelerator pedal mileage compensation factor.

Optionally, calculating the mileage impact factor of the driving temperature factor based on the monitored and detected driving temperature data includes: monitoring and detecting the outside temperature data, calculating the outside temperature mileage compensation factor; monitoring and detecting the range extender water temperature data, and calculating the range extension. The range extender water temperature mileage compensation factor; the driving temperature factor mileage influence factor is obtained by summing the outside temperature mileage compensation factor and the range extender water temperature mileage compensation factor.

Optionally, calculating the driving environment factor mileage compensation factor based on the monitored and detected inhalable particulate matter data in the environment includes: waking up the hybrid controller and arbitrating the time initial value for outputting the driving environment factor mileage compensation factor after the actuator is powered on. ; Real-time detection of the concentration value in the inhalable particulate matter concentration data signal in the environment; if the concentration value in the inhalable particulate matter concentration data signal in the environment is greater than the first preset threshold, then the time initial value of the mileage compensation factor from the driving environment factor Start timing to obtain the first timing time; otherwise, the timing remains at zero; if the first timing time exceeds the first preset time value, the first timing time is accumulated to the time of the driving environment factor mileage compensation factor The initial value obtains the first accumulated time; otherwise, the current first timing time is reset to zero; the calibrated ratio of the first accumulated time to the first preset time value is used as the driving environment factor mileage compensation factor.

Optionally, calculating the driving road condition factor mileage compensation factor based on the monitored vehicle acceleration data includes: waking up the hybrid controller, arbitrating the time initial value of the driving road condition factor mileage compensation factor output after the actuator is powered on; real-time Detect the acceleration value in the vehicle longitudinal acceleration data signal in the environment; if the acceleration value in the vehicle longitudinal acceleration data signal in the environment is greater than the second preset threshold, start timing from the time initial value of the driving road condition factor mileage compensation factor to obtain the first Second timing time; otherwise, the timing remains at zero; if the second timing time exceeds the second preset time value, the second timing time is accumulated to the time initial value of the driving road condition factor mileage compensation factor to obtain the third 2. Accumulated time; otherwise, reset the current second timing time to zero; use the ratio of the second accumulated time to the second calibration value as the driving road condition factor mileage compensation factor.

Optionally, monitoring the brake pedal depth signal and calculating the deep brake pedal mileage compensation factor include: waking up the hybrid controller and arbitrating the initial value of the number of times the deep brake pedal mileage compensation factor is output after the actuator is powered on. ; Real-time detection of the number of deep brake pedal presses in the deep brake pedal data signal in the environment; if the number of deep brake pedal presses in the deep brake pedal signal in the environment is greater than the third preset threshold, then from the deep brake pedal The initial value of the number of times the brake pedal mileage compensation factor is depressed starts to count to obtain the third timing time; otherwise, the timing remains at zero; if the third timing time exceeds the third preset time value, the third timing time is The number of times is accumulated to the initial value of the number of times of deep braking pedal mileage compensation factor to obtain the third accumulated number; otherwise, the current third timing time is reset to zero; the third accumulated number is combined with the third preset calibration The ratio of the values is used as the deep brake pedal mileage compensation factor.

Optionally, the monitoring of the deep depression of the accelerator pedal signal and the calculation of the deep depression of the accelerator pedal mileage compensation factor include: waking up the hybrid controller, arbitrating the initial value of the number of times of deep depression of the accelerator pedal mileage compensation factor after the actuator is powered on; real-time Detect the number of times of deep depression of the accelerator pedal in the deep depression of the accelerator pedal data signal in the environment; if the number of deep depressions of the accelerator pedal in the deep depression of the accelerator pedal data signal in the environment is greater than the fourth preset threshold, then the mileage of the deep depression of the brake pedal is determined from The initial value of the number of times of the compensation factor starts counting to obtain the fourth timing time; otherwise, the timing remains at zero; if the fourth timing time exceeds the fourth preset time value, the times within the fourth timing time are accumulated to the The initial value of the number of times of deep depression of the accelerator pedal mileage compensation factor is used to obtain the fourth accumulated number of times; otherwise, the current fourth timing time is reset to zero; the ratio of the fourth accumulated number of times to the fourth preset calibration value is used as the fourth accumulated number of times of deep depression. Accelerator pedal mileage compensation factor.

Optionally, the monitoring and detecting of the external temperature data and calculating the external temperature mileage compensation factor include: waking up the hybrid controller, arbitrating the initial value of the time for outputting the external temperature mileage compensation factor after the actuator is powered on; and detecting the external temperature in the environment in real time. The temperature value in the temperature data signal; if the temperature value in the outside temperature data signal in the environment is greater than the fifth preset threshold, then start timing from the time initial value of the outside temperature mileage compensation factor to obtain the fifth timing time; otherwise, timing Keep it at zero; if the fifth timing time exceeds the fifth preset time value, the fifth timing time is accumulated to the time initial value of the outside temperature mileage compensation factor to obtain the fifth accumulated time; otherwise, the current The fifth timer is reset to zero; the ratio of the fifth accumulated time to the fifth preset calibration value is used as the outside temperature mileage compensation factor.

Optionally, the monitoring and detecting the range extender water temperature data and calculating the range extender water temperature mileage compensation factor include: waking up the hybrid controller and arbitrating the initial time for outputting the range extender water temperature mileage compensation factor after the actuator is powered on. value; detect the water temperature in the range extender water temperature data signal in the environment in real time; if the water temperature in the range extender water temperature data signal in the environment is greater than the sixth preset threshold, then start from the time initial value of the range extender water temperature mileage compensation factor Start timing to obtain the sixth timing time; otherwise, the timing remains at zero; if the sixth timing time exceeds the sixth preset time value, the sixth timing time is accumulated to the range extender water temperature mileage compensation factor The initial time value is used to obtain the sixth accumulated time; otherwise, the current sixth timer is reset to zero; the ratio of the sixth accumulated time to the sixth preset calibration value is used as the range extender water temperature mileage compensation factor.

Optionally, the first influence value for calculating the engine maintenance mileage based on the idle time includes: waking up the hybrid controller, arbitrating the initial value of the current idle time after the actuator is powered on; real-time detection of the range extender idle flag and the third Seven timing time; if the idle flag bit is 1 and the seventh timing time exceeds the seventh preset threshold, then the seventh timing time is obtained from the initial value of the current idle time, and the seventh timing time is accumulated to the seventh timing time. The seventh accumulated idle time is obtained from the initial value of the idle time; otherwise, no timing is given or the current timer is reset to zero; the seventh accumulated idle time is used as the accumulated idle time after engine maintenance; the first influence value is the accumulated idle time after engine maintenance The ratio to the scheduled maintenance mileage is then multiplied by the second weighting coefficient.

Optionally, the second influence value for calculating the engine maintenance mileage based on the standing time includes: waking up the hybrid controller and arbitrating the vehicle lock-in time after the maintenance is output after the actuator is powered on and the time when the current range extender is turned off; Detect the status of the range extender in real time. If the range extender is in the activated state, the difference between the start time of the range extender and the time when the range extender was extinguished during the previous operation is used as the disable time of the previous range extender; If the disabling time of the previous range extender is greater than the eighth preset threshold, then the disabling time of the previous range extender is added to the vehicle disabling time after maintenance to obtain the accumulated vehicle disabling time after maintenance; the accumulated maintenance time is obtained The final vehicle suspension time is taken as the accumulated resting time after engine maintenance; the second influence value is the ratio of the accumulated resting time after engine maintenance and the scheduled maintenance mileage multiplied by the third weighting coefficient.

Optionally, calculating the mileage dimension health degree from the equivalent working mileage of the range extender, the first impact value and the second impact value includes: combining the equivalent working mileage of the range extender, the first impact value and the second impact value. The sum of them obtains the mileage dimension health degree.

Optionally, obtaining the calendar time after engine maintenance and calculating the time dimension health based on the scheduled maintenance time include: waking up the hybrid controller, arbitrating the time initial value after the last maintenance after the actuator is powered on; The ratio of the difference obtained by subtracting the initial value of time after the previous maintenance from the time and the scheduled maintenance time is the time dimension health degree.

Optionally, the remaining maintenance health of the engine is arbitrated and calculated based on the health of the mileage dimension and the health of the time dimension. The remaining maintenance time and remaining maintenance mileage include:

Pct＝100-MAX(A1,A2) (1)

Rng＝B*(100-A1)/100 (2)

T＝C*(100-A2)/100 (3)

Among them, Pct is the remaining maintenance health of the engine, A1 is the mileage dimension health, A2 is the time dimension health, Rng is the remaining maintenance mileage, B is the scheduled maintenance mileage, T is the remaining maintenance time, and C is the scheduled maintenance time.

Optionally, storing data in the mileage dimension and time dimension during maintenance, and initializing the data in the mileage dimension and time dimension after maintenance include: when the hybrid controller is powered off, the vehicle controller or the lane change blind spot warning are respectively used. The system stores data in the mileage dimension and time dimension, sends it to the cloud through the vehicle terminal to store the data in the mileage dimension and time dimension, and transmits the data in the mileage dimension and time dimension back to the vehicle end after the hybrid controller is powered on next time. Perform verification and arbitration to obtain the current initial value.

A second aspect of the present invention provides an intelligent maintenance device for extended-range vehicles, including: a mileage dimension health degree unit, used to obtain the equivalent working mileage of the range extender after engine maintenance and the maintenance mileage of the range extender in the time dimension. According to the engine The equivalent working mileage of the range extender after maintenance and the maintenance mileage of the range extender in the time dimension are used to calculate the health degree in the mileage dimension; the time dimension health degree unit is used to obtain the calendar time after engine maintenance and calculate the health degree in the time dimension based on the scheduled maintenance time. ; Arbitration unit, used to arbitrate and calculate the engine's remaining maintenance health, remaining maintenance time and remaining maintenance mileage based on mileage dimension health and time dimension health, and display the remaining maintenance percentage, remaining maintenance time and remaining maintenance mileage; initialization unit, Used to store data in the mileage dimension and time dimension during maintenance, and to initialize data in the mileage dimension and time dimension after maintenance.

A third aspect of the present invention provides an electronic device, including: a memory for storing non-transitory computer-readable instructions; and a processor for running the computer-readable instructions, so that the computer-readable instructions are processed by the computer-readable instructions. When the processor is executed, the above-mentioned extended-range vehicle intelligent maintenance method is implemented.

A fourth aspect of the present invention provides a computer-readable storage medium. The computer-readable storage medium includes computer instructions. When the computer instructions are run on the device, the above-mentioned extended-range vehicle intelligent maintenance method is implemented.

A fifth aspect of the present invention provides a vehicle, which includes the above-mentioned extended-range vehicle intelligent maintenance device.

Compared with the prior art, the present invention has obvious advantages and beneficial effects. Through the above technical solutions, the present invention has at least one of the following advantages and beneficial effects:

1. The present invention provides an intelligent maintenance method for extended-range vehicles. This method obtains the equivalent working mileage of the range extender after engine maintenance and the maintenance mileage of the range extender in the time dimension, and calculates the equivalent working mileage of the range extender after engine maintenance. Under the mileage and time dimensions, the range extender maintenance mileage is used to calculate the health degree in the mileage dimension; the calendar time after engine maintenance is obtained, and the health degree in the time dimension is calculated based on the scheduled maintenance time; the remaining maintenance of the engine is arbitrated and calculated based on the health degree in the mileage dimension and the health degree in the time dimension. Health, remaining maintenance time and remaining maintenance mileage, and display the remaining maintenance percentage, remaining maintenance time and remaining maintenance mileage; store the mileage dimension and time dimension data during maintenance, and initialize the mileage dimension and time dimension data after maintenance. By multiplying the obtained objective mileage of the engine in each timing period and the mileage compensation factor, the mileage traveled in each timing period after engine maintenance is obtained; the accumulated mileage in each timing period after engine maintenance is accumulated to obtain the accumulated mileage after engine maintenance. The mileage traveled, the ratio of the accumulated mileage traveled after engine maintenance and the scheduled maintenance mileage is multiplied by the first weight coefficient as the equivalent working mileage of the range extender after engine maintenance, and the comprehensive indicators of the range extender vehicles are realized. Provide real-time and accurate intelligent maintenance prompts.

2. The present invention provides an intelligent maintenance method for extended-range vehicles. The method calculates the equivalent working mileage of the range extender based on the working mileage of the range extender and the mileage impact factor after engine maintenance in the mileage dimension; and calculates the equivalent working mileage of the range extender based on the idle speed in the time dimension. Calculate the first impact value of the engine maintenance mileage based on the length of time, and calculate the second impact value of the engine maintenance mileage based on the idle time; calculate the mileage dimension health based on the equivalent working mileage of the range extender, the first impact value, and the second impact value. The first influence value and the second influence value are introduced to calculate the mileage dimension health degree, so that the extended range vehicle maintenance prompt information calculated based on the mileage dimension health degree is more accurate.

3. The present invention provides an intelligent maintenance method for extended-range vehicles. The method calculates the mileage impact factor of the driving habit factor based on the driving habit data detected by monitoring; calculates the mileage impact factor of the driving temperature factor based on the driving temperature data detected by monitoring; Monitor and detect the data of inhalable particulate matter in the environment, and calculate the mileage compensation factor for driving environment factors; calculate the mileage compensation factor for driving road conditions based on the acceleration data of the monitored and detected vehicles; combine the driving habit factor mileage influencing factor, driving temperature factor mileage influencing factor, The mileage impact factor after engine maintenance is obtained by summing the mileage compensation factor for driving environment factors and the mileage compensation factor for driving road conditions. By incorporating factors affecting mileage after engine maintenance into the calculation scope, the present invention accurately calculates the healthiness of the mileage dimension after engine maintenance, thereby ensuring the reliability and accuracy of intelligent real-time maintenance information.

The above description is only an overview of the technical solution of the present invention. In order to have a clearer understanding of the technical means of the present invention, it can be implemented according to the content of the description, and in order to make the above and other objects, features and advantages of the present invention more obvious and understandable. , the following is a detailed description of the preferred embodiments, together with the accompanying drawings.

Description of drawings

Figure 1 is a schematic diagram of method steps according to an embodiment of the present invention;

Figure 2 is a schematic structural diagram of the data backup display and storage of the application software layer in the runtime environment layer according to the embodiment of the present invention;

Figure 3 is a schematic structural diagram of the operation processing of the application software module according to the embodiment of the present invention;

Figure 4 is a schematic structural diagram of data information input processing according to the embodiment of the present invention;

Figure 5 is a schematic structural diagram of a vehicle intelligent maintenance device according to an embodiment of the present invention;

Figure 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention;

Figure 7 is a schematic structural diagram of the vehicle intelligent maintenance system according to the embodiment of the present invention.

[Description of main component symbols]

200: Vehicle intelligent maintenance device 201: Mileage dimension health unit

203: Time dimension health unit 205: Arbitration unit

207: Initialization unit

300: Electronic equipment 310: Memory

320: Processor 310: Readable storage medium

Detailed ways

In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended inventive purpose, the following is a detailed description of the specific implementation manner, structure, characteristics and effects proposed according to the present invention in conjunction with the drawings and preferred embodiments as follows: back.

An embodiment of the present invention provides an extended-range vehicle intelligent maintenance method, as shown in Figure 1. The method includes:

S11: Obtain the equivalent working mileage of the range extender after engine maintenance and the maintenance mileage of the range extender in the time dimension, and calculate the health degree of the mileage dimension based on the equivalent working mileage of the range extender after engine maintenance and the maintenance mileage of the range extender in the time dimension. A1.

In the mileage dimension, calculate the equivalent working mileage of the range extender based on the working mileage of the range extender and the mileage impact factor after engine maintenance; multiply the obtained objective mileage of the engine in each timing period and the mileage compensation factor k to obtain the engine after maintenance The mileage traveled in each timing period; the mileage traveled in each timing period after engine maintenance is accumulated to obtain the cumulative mileage traveled after engine maintenance, and the ratio of the cumulative mileage traveled after engine maintenance to the scheduled maintenance mileage B is multiplied by the A weighting coefficient F1 is used as the equivalent working mileage of the range extender after engine maintenance.

It should be noted that the mileage compensation factor is also called the comprehensive mileage supplement factor, referred to as k, including the mileage compensation factor Cmpt1 when the brake pedal is deeply depressed, the mileage compensation factor Cmpt2 when the accelerator pedal is deeply depressed, the mileage compensation factor Cmpt3 for external temperature, and the range extender water temperature. The mileage compensation factor Cmpt4, the driving environment factor mileage compensation factor Cmpt5, and the driving road condition factor mileage compensation factor Cmpt6. According to the calculation formula of the comprehensive mileage compensation factor K, the k value is calculated as:

k＝1+(Cmpt1+Cmpt2+Cmpt3+Cmpt4+Cmpt5+Cmpt6) (4)

Among them, the data range of the above-mentioned real-time calculated value of k is limited to [1,2], or the value can be taken in the data range of [1,1.3] according to the actual situation. The first weight coefficient is a calibration value, and its value is generally 1. It can be set to [1, 1.3] according to the actual situation.

The objective mileage of the engine is the actual mileage of the vehicle each time. The calculation formula for the accumulated mileage after engine maintenance and the equivalent working mileage of the range extender is:

Equivalent working mileage of the range extender = (accumulated mileage after engine maintenance/B)*F1 (6)

What needs to be explained is that in the time dimension, the first impact value of the engine maintenance mileage is calculated based on the idle time, and the second impact value of the engine maintenance mileage is calculated based on the idle time; based on the equivalent working mileage of the range extender, the first impact value and The second influence value calculates the mileage dimension health. The mileage dimension health A1 is obtained by summing the equivalent working mileage of the range extender, the first impact value and the second impact value. The first influence value is the ratio of the accumulated idle time after engine maintenance to the scheduled engine maintenance time multiplied by the second weight coefficient F2; the second influence value is the ratio of the accumulated idle time after engine maintenance to the scheduled engine maintenance time C multiplied by The third weight coefficient F3. The second weight coefficient and the third weight coefficient are both calibrated values, and the actual value range of the calibration can be set to [0, 0.3]. Under normal circumstances, both values are 0.1 for calculation.

The first impact value = cumulative idling time after engine maintenance/C*F2 (7)

Second impact value = cumulative resting time after engine maintenance/C*F3 (8)

A1 = equivalent working mileage of range extender + first impact value + second impact value (9)

S13: Obtain the calendar time after engine maintenance, and calculate the time dimension health A2 based on the scheduled maintenance time.

It should be noted that the time dimension health degree A2 is based on the percentage of the ratio of the calendar time after engine maintenance to the scheduled maintenance time C.

A2＝Cumulative calendar time after engine maintenance/C*100% (10)

S15: Arbitrate and calculate the engine's remaining maintenance health, remaining maintenance time and remaining maintenance mileage based on the mileage dimension health and time dimension health, and display the remaining maintenance percentage, remaining maintenance time and remaining maintenance mileage.

It should be noted that the arbitration of the mileage dimension health degree and the time dimension health degree is to take the maximum value from the mileage dimension health degree and the time dimension health degree as the engine maintenance health degree A. The remaining maintenance health of the engine is the difference between 100% and the engine maintenance health A. For example, if the scheduled engine maintenance mileage is an experimental value, it can be calibrated and preset to 10,000 kilometers. The difference between 10,000 and the accumulated mileage (in kilometers) after engine maintenance is used as the remaining maintenance mileage. Or you can preset the scheduled engine maintenance mileage to [6000, 20000], and you can also customize the settings according to the actual conditions of urban roads and mountain roads. For example, the scheduled engine maintenance time can be an experimental value, which can be calibrated and limited to one year. The difference between the one-year time value (365 days) and the accumulated calendar time (in days) after engine maintenance is used as the remaining maintenance time. . Or you can limit the engine maintenance scheduled time to [6 months, 2 years]. For example, based on actual real-time calculations, the value ranges of mileage dimension health degree A1, time dimension health degree A2, and engine maintenance health degree A are all [0,100], and the value range of time dimension health degree A2 is [0,100].

Remaining maintenance health = 100%-MAX (A1, A2) (11)

S17: Store the data in the mileage dimension and time dimension during maintenance, and initialize the data in the mileage dimension and time dimension after maintenance.

What needs to be explained is that the data in the mileage dimension and time dimension during storage maintenance include the data in the mileage dimension and time dimension of each segment that occurs every time the range extender is in the activated state. As shown in Figure 2, the application software receives the data in the above mileage dimension and time dimension, and inputs the data into the application software layer module for processing. The processed data information is stored in the cloud backup, intelligent display output and storage module respectively. , and input the above data information as a signal into the runtime environment layer. For example, the above-mentioned smart display output can be the parameter data required for smart display. The memory to store the data can be selected as the data that needs to be stored in the electrically erasable programmable read-only memory (such as the data that needs to be stored in EEPROM); the hybrid controller (HCU) ) is electrically connected to the vehicle controller (VCU) or the blind spot warning system (BSW). The above data includes the vehicle controller (VCU) or the blind spot warning system respectively when the hybrid controller (HCU) is powered off. (BSW) stores data in the mileage dimension and time dimension, sends it to the cloud through the vehicle-mounted terminal (T-BOX) to store the data in the mileage dimension and time dimension, and stores the mileage dimension and time dimension data after the hybrid controller is powered on next time. The data is sent back to the vehicle end for verification and arbitration to obtain the current initial value. The above initial values include: the total mileage value and total operating time value of the vehicle running when the hybrid controller is powered off or initialized after maintenance in the mileage dimension and health dimension, the previously stored accumulated mileage initial value, and the driving environment factor mileage compensation factor time initial value, driving road condition factor mileage compensation factor time initial value, brake pedal deep depression mileage compensation factor times initial value, accelerator pedal deep depression mileage compensation factor times initial value, outside temperature mileage compensation factor time initial value , the time initial value of the range extender water temperature mileage compensation factor, the initial value of the previous idle time, as well as the number of deep depressions on the brake pedal, the number of deep depressions on the accelerator pedal, the running time of the engine under high temperature, and the running time of the range extender under high temperature. , running time in high dust environment, running time in mountainous conditions, idling time, range extender rest time, range extender last start time, vehicle disable time after maintenance, time since last maintenance and current range extender extinguishing The time and other related data values are used to record the storage and arbitration of the vehicle after maintenance, and calculate the mileage dimension health and time dimension health, and arbitrate and calculate the engine maintenance based on the mileage dimension health and time dimension health. health.

Optionally, in the embodiment of the present invention, multiplying the ratio of the accumulated mileage after engine maintenance to the scheduled maintenance mileage by a first weighting coefficient as the equivalent working mileage of the range extender after engine maintenance includes: : Wake up the hybrid controller, arbitrate the initial value of the accumulated mileage output after the actuator is powered on; perform cumulative calculation on the vehicle speed signal sent by the body electronic stability system in real time to obtain the accumulated value, and multiply the accumulated value with the mileage compensation factor Then add it to the initial value of the accumulated mileage to obtain the accumulated mileage; use the accumulated mileage as the accumulated mileage after engine maintenance; multiply the ratio of the accumulated mileage after engine maintenance to the scheduled maintenance mileage by The first weighting coefficient serves as the equivalent working mileage of the range extender after engine maintenance.

Specifically, after the hybrid controller (HCU) wakes up, the Milg signal sent from the vehicle controller ((VCU) or blind spot warning system (BSW)) is locked to Eq_Milg1, and is sent from the vehicle terminal (T-BOX) The Milg signal sent is locked to Eq_Milg2; the timing starts after the HCU is powered on, and Eq_Milg1 and Eq_Milg2 are compared within a certain period of time. If Eq_Milg1 and Eq_Milg2 are not equal and T-BOX communication is normal, the Eq_Milg2 value shall prevail; if Eq_Milg1 and Eq_Milg2 If Eq_Milg2 is equal or T-BOX communication is abnormal, Eq_Milg1 shall prevail. The main consideration here is that the transmission path of the Eq_Milg1 signal is short, and the accumulated mileage MilgBase is output. After the HCU wakes up, the vehicle speed signal sent by the electronic stability module (ESP) of the body is integrated and accumulated on the basis of Milg. The accumulated mileage is Milg. The accumulated mileage MilgFil after engine maintenance is calculated according to the following formula:

MilgFil＝MilgBase+Milg*k (12)

Among them, Milg is stored through VCU (BSW) and sent to the cloud through T-BOX for storage when the KL15 is powered off. After the next power-on, Milg is sent back for verification and arbitration to obtain the initial value of the calculation.

Optionally, in the embodiment of the present invention, as shown in Figure 3, this figure shows the hybrid controller (HCU) and gateway (Gateway), vehicle controller (VCU), engine management system ( The relationship between signal transmission and interaction between EMS) and blind spot warning system (BSW). For example, the signals received from the Gateway at the runtime environment layer are cloud data and respirable particulate matter data signals in the environment (such as the PM10 concentration value in the ambient air), and the signals received from the VCU are the intelligent boost module (IBooster signal), The body electronic stability module (ESP signal) and the airbag controller module (ACU signal), the signal received from the EMS is the EMS signal, and the signal received from the BSW is the electrical control module (Hardwire signal). According to the data in the mileage dimension and time dimension based on the hybrid controller (HCU), gateway (Gateway), vehicle controller (VCU), engine management system (EMS) and lane change blind spot warning system (BSW) in the above application layer software Through the detection, transmission and processing of information, the mileage impact factors after engine maintenance can be obtained. The mileage influencing factors after engine maintenance include: calculating the driving habit factor mileage influencing factor based on the monitoring and detecting driving habit data; calculating the driving temperature factor mileage influencing factor based on the monitoring and detecting driving temperature data; calculating the mileage influencing factor based on the monitoring and detecting environment. Inhaled particulate matter data is used to calculate the driving environment factor mileage compensation factor; based on the vehicle acceleration data monitored and detected, the driving road condition factor mileage compensation factor is calculated; the driving habit factor mileage influencing factor, driving temperature factor mileage influencing factor, and driving environment factor mileage compensation factor And the mileage impact factor after engine maintenance is obtained by summing the driving road condition factors and the mileage compensation factor.

Optionally, in the embodiment of the present invention, calculating the driving habit factor mileage influence factor based on the monitored and detected driving habit data includes: monitoring the brake pedal depth signal, calculating the mileage compensation factor of deep depression of the brake pedal; monitoring the depth of the brake pedal. The accelerator pedal signal is used to calculate the mileage compensation factor of deep accelerator pedal depression; the driving habit factor mileage influencing factor is obtained by summing the mileage compensation factor of deep depression of the brake pedal and the mileage compensation factor of deep depression of the accelerator pedal.

Optionally, in the embodiment of the present invention, calculating the driving temperature factor mileage influence factor based on the monitored and detected driving temperature data includes: monitoring and detecting the outside temperature data, calculating the outside temperature mileage compensation factor; monitoring and detecting the range extension Using the water temperature data of the range extender, calculate the range extender water temperature mileage compensation factor; sum the outside temperature mileage compensation factor and the range extender water temperature mileage compensation factor to obtain the driving temperature factor mileage influence factor.

Optionally, in the embodiment of the present invention, calculating the driving environment factor mileage compensation factor based on the monitored and detected inhalable particulate matter data in the environment includes: waking up the hybrid controller, arbitrating the output of the driving environment after the actuator is powered on The time initial value of the factor mileage compensation factor; real-time detection of the concentration value in the inhalable particulate matter concentration data signal in the environment; if the concentration value in the inhalable particulate matter concentration data signal in the environment is greater than the first preset threshold, from the driving environment The time initial value of the factor mileage compensation factor starts timing to obtain the first timing time; otherwise, the timing remains at zero; if the first timing time exceeds the first preset time value, the first timing time is accumulated to the The time initial value of the driving environment factor mileage compensation factor obtains the first accumulation time; otherwise, the current first timing time is reset to zero; the ratio of the first accumulation time and the first preset time value calibration is used as the driving environment factor mileage compensation factor.

Specifically, the T3 signal sent from VCU (BSW) is locked to Env_T1, and the T3 signal sent from T-BOX is locked to Env_T2. After the hybrid controller is powered on, it starts recording the duration, and within a certain preset time period, the Compare Env_T1 and Env_T2. If Env_T1 and Env_T2 are not equal and T-BOX communication is normal, the Env_T2 value shall prevail; if Env_T1 and Env_T2 are equal or T-BOX communication is abnormal, Env_T1 shall prevail; here the Env_T1 signal is mainly considered The transmission path is short, and the time initial value T3 of the driving environment factor mileage compensation factor is output. After the HCU wakes up, the PM10 concentration value in the environment is detected. If the concentration value is greater than the first preset threshold and continues for the confirmation time (for example, the first preset threshold value is based on the newly revised "Ambient Air Quality Standard", for example The value can be 150μg/m ³ , and the continuous confirmation time can be set to 10 minutes), then the timing starts and accumulation starts on the basis of T3, and the accumulation time is the first accumulation time T3. When the PM10 concentration value is less than a certain value and lasts for a certain period of time, the T3 timer ends and the T3 value enters the maintenance state. Cmpt5 is calculated based on the calculation formula of the range extender water temperature mileage compensation factor Cmpt5:

Cmpt5＝T3/Base_T3 (13)

Among them, the Cmpt5 value is limited to between 0 and 1, Base_T3 is a base number and a calibration value, and the initial calibration value can be set to 10,000 hours. When the KL15 is powered off, T3 stores it through the VCU (BSW) and sends it to the cloud through the T-BOX for storage. After the next power-on, it will send it back for verification and arbitration to get the initial value of the calculation.

Optionally, in the embodiment of the present invention, calculating the driving road condition factor mileage compensation factor based on the monitored acceleration data of the vehicle includes: waking up the hybrid controller, arbitrating the output of the driving road condition factor mileage after powering on the actuator The time initial value of the compensation factor; real-time detection of the acceleration value in the vehicle acceleration data signal in the environment; if the acceleration value in the vehicle acceleration data signal in the environment is greater than the second preset threshold, then the time of the mileage compensation factor from the driving road condition factor Start timing from the initial value to obtain the second timing time; otherwise, the timing remains at zero; if the second timing time exceeds the second preset time value, the second timing time is accumulated to the driving road condition factor mileage compensation factor The second accumulated time is obtained from the time initial value; otherwise, the current second timing time is reset to zero; the ratio of the second accumulated time to the second calibration value is used as the driving road condition factor mileage compensation factor.

Specifically, after the HCU wakes up, the T4 signal sent from the VCU (BSW) is locked to Rd_T1, and the T4 signal sent from the T-BOX is locked to Rd_T2; after the HCU is powered on, the timing starts, and Rd_T1 and Rd_T2 are locked within a certain period of time. For comparison, if Rd_T1 and Rd_T2 are not equal and T-BOX communication is normal, the Rd_T2 value shall prevail; if Rd_T1 and Rd_T2 are equal or T-BOX communication is abnormal, Rd_T1 shall prevail. Here, the main consideration is that the transmission path of the R_T1 signal is short, and time T4 will be output. After the HCU wakes up, the tire drive or recovery torque is obtained based on the motor's actual torque value multiplied by the reducer speed ratio and divided by the tire radius. Based on the vehicle's driving conditions, for example, if (tire driving force - sliding resistance) / whole The acceleration signal obtained from the vehicle mass is greater than the vehicle acceleration value obtained from the airbag controller (ACU), which is a certain value and lasts for a certain period of time (the above acceleration value and a certain period of time are calibrated and set according to the actual situation), then It is considered that it is in slope condition at this moment. Then the timing starts, and the cumulative timing time starts based on T4, and the cumulative time is T4; if the acceleration difference is less than a certain value and lasts for a certain period of time, it is considered to be in a non-slope condition, and the T4 timing ends. The selection of the T4 value or The value enters the maintenance state, and Cmpt6 is calculated based on the calculation formula of the driving condition mileage compensation factor Cmpt6:

Cmpt6＝T4/Base_T4 (14)

Among them, the value of Cmpt6 is limited to the range of 0 to 1, and Base_T4 is used as the base and is a calibration value. The initial calibration value can be set to 10,000 hours. When KL15 is powered off, T4 stores it through VCU (BSW) and sends it to the cloud through T-BOX for storage. After the next power-on, it will send it back for verification and arbitration to get the initial value of the calculation;

Optionally, in the embodiment of the present invention, monitoring the brake pedal depth signal and calculating the deep brake pedal mileage compensation factor include: waking up the hybrid controller and arbitrating the output of the deep brake pedal after the actuator is powered on. The initial value of the number of pedal mileage compensation factors; real-time detection of the number of deep braking pedal depressions in the deep braking pedal data signal in the environment; if the number of deep braking pedal depressions in the deep braking pedal signal in the environment is greater than the third predetermined Assuming a threshold value, the third timing time is obtained from the initial value of the number of times of deep braking pedal mileage compensation factor; otherwise, the timing remains at zero; if the third timing time exceeds the third preset time value, then Accumulate the number of times within the third timing time to the initial value of the number of times of deep braking pedal mileage compensation factor to obtain the third cumulative number of times; otherwise, reset the current third timing time to zero; set the third cumulative number of times The ratio to the third preset calibration value is used as the deep brake pedal mileage compensation factor.

Specifically, after the HCU wakes up, the Counter1 signal sent from the VCU (BSW) is locked to Brk_C1, and the Counter1 signal sent from the T-BOX is locked to Brk_C2; the timing starts after the HCU is powered on, and within a certain preset time period Compare Brk_C1 and Brk_C2. If Brk_C1 and BrkC2 are not equal, the Brk_C2 value shall prevail. If Brk_C1 and Brk_C2 are equal, Brk_C1 shall prevail. The main consideration here is that the transmission path of the Brk_C1 signal is short, the number of output Counter1 is verified by the HCU power-on initial value, and the calculated initial value after the new power-on is arbitrated. The brake pedal depth signal is detected in real time. If the number of deep brake pedal depressions in the brake pedal data signal is greater than the preset third preset threshold, the recording duration is started; if the recorded duration exceeds the preset third preset threshold, Set the time value (for example, the third preset time value can be set to 8 hours), then set Counter1+=Counter1, otherwise, clear the recorded time; if the deeply depressed brake pedal data signal indicates If the number of times is less than the preset value (such as 10 times), the recorded duration will be maintained at zero. Calculation formula based on deep braking pedal mileage compensation factor Cmpt1:

Cmpt1＝Counter1/Base_Counter1 (15)

Among them, the value of Cmpt1 is limited to between 0 and 1 according to the actual situation. Base_Counter1 serves as the base and is a calibration value. For example, the initial calibration value can be set to 10,000 times. When the KL15 is powered off, Counter1 stores it through the VCU (BSW) and sends it to the cloud through the T-BOX for storage. After the next power-on, it will send it back for verification and arbitration to get the initial value of the algorithm.

Optionally, in the embodiment of the present invention, the monitoring of the deep depression of the accelerator pedal signal and the calculation of the deep depression of the accelerator pedal mileage compensation factor include: waking up the hybrid controller and arbitrating the output of the deep depression of the accelerator pedal mileage after the actuator is powered on. The initial value of the number of times of the compensation factor; real-time detection of the number of deep depressions in the accelerator pedal data signal in the environment; if the number of deep depressions in the accelerator pedal data signal in the environment is greater than the fourth preset threshold, then The initial value of the number of times of deep braking pedal mileage compensation factor starts counting to obtain the fourth timing time; otherwise, the timing remains zero;

If the fourth timing time exceeds the fourth preset time value, then the number of times within the fourth timing time is accumulated to the initial value of the number of times of deep depression of the accelerator pedal mileage compensation factor to obtain the fourth accumulated number of times; otherwise, The current fourth timing time is reset to zero; the ratio of the fourth accumulated number of times to the fourth preset calibration value is used as the mileage compensation factor for deep depression of the accelerator pedal.

Specifically, after the HCU wakes up, the Counter2 signal sent from the VCU (BSW) is locked to Acc_C1, and the Counter2 signal sent from the T-BOX is locked to Acc_C2; after the HCU is powered on, the timing starts, and Acc_C1 and Acc_C1 are locked within a certain period of time. Acc_C2 is compared. If Acc_C1 and Acc_C2 are not equal and T-BOX communication is normal, the Acc_C2 value shall prevail; if Acc_C1 and Acc_C2 are equal or T-BOX communication is abnormal, Acc_C1 shall prevail. Here, the main consideration is that the transmission path of the Acc_C1 signal is short, the output count Counter2 is verified, and the initial value Counter2 of the number of calculations after the new power-on is arbitrated through HCU power-on initial value verification. Detect the number of deep depressions on the accelerator pedal in the deep depression signal in real time. If the number of deep depressions on the accelerator pedal is greater than the fourth preset threshold, start timing. If the fourth timing time exceeds the fourth preset time value, Counter2+=Counter2 ; Otherwise, the fourth timing time is cleared; if the number of times of deep depression of the accelerator pedal is not greater than the fourth preset time value, the fourth timing time is maintained at zero. Calculate Cmpt2 based on the calculation formula of mileage compensation factor Cmpt2 when pressing the accelerator pedal deeply:

Cmpt2＝Counter2/Base_Counter2 (16)

Among them, the Cmpt2 value is limited to between 0 and 1 according to the actual situation, and Base_Counter2 serves as the base and is a calibration value. For example, the initial calibration value can be set to 10,000 times. When the KL15 is powered off, Counter2 stores it through the VCU (BSW) and sends it to the cloud through the T-BOX for storage. After the next power-on, it will send it back for verification and arbitration to obtain the initial value of the calculation.

Optionally, in the embodiment of the present invention, the monitoring and detecting of the outside temperature data and calculating the outside temperature mileage compensation factor include: waking up the hybrid controller and arbitrating the time for outputting the outside temperature mileage compensation factor after the actuator is powered on. Initial value; detect the temperature value in the outside temperature data signal in the environment in real time; if the temperature value in the outside temperature data signal in the environment is greater than the fifth preset threshold, start timing from the time initial value of the outside temperature mileage compensation factor to obtain The fifth timing time; otherwise, the timing remains at zero; if the fifth timing time exceeds the fifth preset time value, the fifth timing time is accumulated to the time initial value of the outside temperature mileage compensation factor to obtain the fifth timing time. Five accumulated time; otherwise, reset the current fifth timer to zero; use the ratio of the fifth accumulated time to the fifth preset calibration value as the outside temperature mileage compensation factor.

Specifically, after the HCU wakes up, the T1 signal sent from the VCU (BSW) is locked to Temp_T1, and the T1 signal sent from the T-BOX is locked to Temp_T2; after the HCU is powered on, the timing starts, and at the fifth timing time Temp_T1 is compared with Temp_T2. If Temp_T1 and Temp_T2 are not equal and T-BOX communication is normal, the Temp_T2 value shall prevail; if Temp_T1 and Temp_T2 are equal or T-BOX communication is abnormal, Temp_T1 shall prevail. The main consideration here is that the transmission path of the Temp_T1 signal is short and the output time T1 is verified through HCU power-on initial value verification to arbitrate the new calculation time initial value T1 after power-on. After the HCU wakes up, it detects the external temperature value. If the temperature value in the real-time detection environment is greater than the fifth preset threshold and continues for the confirmation time (such as 10 seconds), the timing starts and starts to accumulate based on T1. The accumulation time is T1 . After detecting that the outside temperature value is not greater than the fifth preset threshold and lasts for a certain period of time (such as 10 seconds), the T1 timer ends, the T1 value enters the maintenance state, and Cmpt3 is calculated based on the calculation formula of the outside temperature mileage compensation factor Cmpt3:

Cmpt3＝T1/Base_T1 (17)

Among them, the Cmpt3 value is limited to between 0 and 1 according to the actual situation, and Base_T1 is used as the base and is a calibration value. For example, the initial calibration value can be set as 10,000 hours. When the KL15 is powered off, T1 stores it through the VCU (BSW) and sends it to the cloud through the T-BOX for storage. After the next power-on, it will be sent back for verification and arbitration to get the initial value of the calculation.

Optionally, in the embodiment of the present invention, the monitoring of the detected range extender water temperature data and calculating the range extender water temperature mileage compensation factor include: waking up the hybrid controller and arbitrating the range extender output after the actuator is powered on. The time initial value of the range extender water temperature mileage compensation factor; real-time detection of the water temperature in the range extender water temperature data signal in the environment; if the water temperature in the range extender water temperature data signal in the environment is greater than the sixth preset threshold, the range extender is The time initial value of the water temperature mileage compensation factor starts timing to obtain the sixth timing time; otherwise, the timing remains at zero; if the sixth timing time exceeds the sixth preset time value, the sixth timing time is accumulated to the The time initial value of the range extender water temperature mileage compensation factor obtains the sixth accumulation time; otherwise, the current sixth timer is reset to zero; the ratio of the sixth accumulation time to the sixth preset calibration value is used as the range extender water temperature mileage compensation factor.

Specifically, after the HCU wakes up, the T2 signal sent from the VCU (BSW) is locked to EngTemp_T1, and the T2 signal sent from the T-BOX is locked to EngTemp_T2; after the HCU is powered on, the timing starts, and EngTemp_T1 and EngTemp_T2 are locked within a certain period of time. Compare EngTemp_T2. If EngTemp_T1 and EngTemp_T2 are not equal and T-BOX communication is normal, the EngTemp_T2 value shall prevail; if EngTemp_T1 and EngTemp_T2 are equal or T-BOX communication is abnormal, EngTemp_T1 shall prevail. The main consideration here is that the transmission path of the EngTemp_T1 signal is short and the output time is T2. After the HCU wakes up, the current water temperature value of the range extender is detected in real time. If the water temperature value is greater than the sixth preset threshold and continues for a confirmed time (such as 30 seconds), the sixth timing time starts, based on T2 Accumulation starts on , and the accumulation time is T2. When the temperature is not greater than the sixth preset threshold and lasts for a certain period of time (30 seconds), the T2 timer ends and the T2 value enters the maintenance state. Cmpt4 is calculated based on the calculation formula of the range extender water temperature mileage compensation factor Cmpt4:

Cmpt4＝T2/Base_T2 (18)

Among them, the value of Cmpt4 is limited to between 0 and 1, and Base_T2 is used as the base and is a calibration value. For example, the initial calibration value can be set to 10,000 hours. When the KL15 is powered off, T2 stores it through the VCU (BSW) and sends it to the cloud through the T-BOX for storage. After the next power-on, it will send it back for verification and arbitration to get the initial value of the calculation.

Optionally, in the embodiment of the present invention, the first influence value of calculating the engine maintenance mileage according to the idle time includes: waking up the hybrid controller, arbitrating the initial value of the current idle time after the actuator is powered on; real-time detection The idle speed flag of the range extender and the seventh timing time; if the idle flag is 1 and the seventh timing time exceeds the seventh preset threshold, the seventh timing time is obtained from the initial value of the current idle time, and the seventh timing time is obtained. The seventh cumulative idle time is accumulated to the initial value of the idle time to obtain the seventh cumulative idle time; otherwise, no timing is given or the current timing is reset to zero; the seventh cumulative idle time is used as the cumulative idle time after engine maintenance; the first impact The value is the ratio of the accumulated idling time after engine maintenance to the scheduled maintenance mileage multiplied by the second weighting coefficient.

Specifically, after the HCU wakes up, the T5 signal sent from the VCU (BSW) is locked to Idle_T1, and the T5 signal sent from the T-BOX is locked to Idle_T2; after the HCU is powered on, the timing starts, and Idle_T1 and Idle_T1 are locked within a certain period of time. Idle_T2 is compared. If Idle_T1 and Idle_T2 are not equal and T-BOX communication is normal, the Idle_T2 value shall prevail; if Idle_T1 and Idle_T2 are equal or T-BOX communication is abnormal, Idle_T1 shall prevail. The main consideration here is that the transmission path of the Idle_T1 signal is short and the output time is T5. After the HCU wakes up, it detects the idle flag of the range extender. If the idle flag is 1 and lasts for a certain confirmation time, the seventh timing time starts and starts to accumulate on the basis of T5. The accumulated idle time is T5. Among them, T5 stores it through VCU (BSW) and sends it to the cloud through T-BOX for storage when KL15 is powered off. After the next power-on, it will be sent back for verification and arbitration to obtain the initial value of the calculation.

Optionally, in the embodiment of the present invention, the second influence value of calculating the engine maintenance mileage based on the standing time includes: waking up the hybrid controller, arbitrating the output of the vehicle lock-in time after maintenance after the actuator is powered on and The time when the current range extender is extinguished; detect the status of the range extender in real time. If the range extender is in the activated state, the difference between the start time of the range extender and the time when the range extender was extinguished during the previous operation is used as the previous time. The disabling time of the range extender; if the disabling time of the previous range extender is greater than the eighth preset threshold, the disabling time of the previous range extender is accumulated to the post-maintenance vehicle disabling time to obtain the accumulated post-maintenance vehicle disabling time. The vehicle disable time after accumulated maintenance is regarded as the accumulated resting time after engine maintenance; the second influence value is the ratio of the accumulated resting time after engine maintenance and the scheduled maintenance mileage multiplied by the third weighting coefficient.

Specifically, after the HCU wakes up, the T6 signal sent from the VCU (BSW) is locked to St_T1, the T7 signal is locked to Ab_T1, the T6 signal sent from the T-BOX is locked to St_T2, and the T7 signal is locked to Ab_T2; on the HCU Start timing after power on, and compare St_T1 and St_T2, Ab_T1 and Ab_T2 within a certain period of time. If St_T1 and St_T2 are not equal and T-BOX communication is normal, the value of St_T2 shall prevail. If Ab_T1 and Ab_T2 are not equal and T-BOX communication is normal, the value of Ab_T2 shall prevail; if St_T1 and St_T2 are equal or T-BOX communication is abnormal, St_T1 shall prevail. If Ab_T1 and Ab_T2 are equal or T-BOX communication is abnormal, Then the Ab_T1 value shall prevail. Here, the main consideration is that the transmission paths of the St_T1 and Ab_T1 signals are short, and the vehicle lock-in time after maintenance is T6 and the current range extender extinguishing time T7 are respectively output.

After the HCU wakes up, if the range extender is in the started state, the previous standstill time of the range extender is calculated based on the start time of the current range extender and the time T7 when the range extender was turned off during the previous operation. For example, the standstill time The setting time can be in days, and the value is obtained by rounding it off. If the value is not less than 1, the output vehicle locking time T6 after maintenance will be accumulated based on the original initial value. The accumulation formula of the vehicle locking time after maintenance It is: subtract the duration value of the time T7 when the range extender was extinguished during the previous operation from the starting time of this range extender, plus the initial value of the vehicle lock-in time T6 after maintenance. Among them, the duration value of the starting time of this range extender and the time T7 when the range extender was extinguished during the previous operation is the integer value after rounding off the decimal place to an integer (the accuracy of this integer value is 1). At the moment when the range extender is turned off, the time value of this turn off is assigned to T7. The first start after the HCU wakes up and the last time when the vehicle is turned off before maintenance shall prevail. Set the vehicle confinement time after the last maintenance to T6 (unit is days). When KL15 is powered off, T6 and T7 are stored through VCU (BSW) and sent to the cloud through T-BOX for storage respectively, and will be stored on the next power-on It will then be sent back for verification and arbitration to get the initial value for this calculation.

Optionally, in the embodiment of the present invention, obtaining the calendar time after engine maintenance and calculating the time dimension health degree according to the scheduled maintenance time include: waking up the hybrid controller and arbitrating the output of the previous maintenance after the actuator is powered on. The initial value of time after; the ratio of the difference obtained by subtracting the initial value of time after the previous maintenance from the current time and the scheduled maintenance time is the time dimension health degree.

Specifically, after the HCU wakes up, the T8 signal sent from the VCU (BSW) is locked to Ab_T1, and the T8 signal sent from the T-BOX is locked to Ab_T2; after the HCU is powered on, the timing starts, and Ab_T1 and Ab_T1 are locked within a certain period of time. Ab_T2 is compared. If Ab_T1 and Ab_T2 are not equal and T-BOX communication is normal, Ab_T2 value shall prevail; if Ab_T1 and Idle_T2 are equal or T-BOX communication is abnormal, Ab_T1 shall prevail. The main consideration here is that the transmission path of the Ab_T1 signal is short and the output time is T8. After the HCU wakes up, (the current time minus the output time T8 during this maintenance) is regarded as the time since the last maintenance, where the output time T8 value is the absolute time value when the falling edge of the maintenance flag is detected (such as the absolute time 2022 The time value represented by 15:21:46 on May 6th), the calculation formula of inter-dimensional health A2 is to calculate A2:

A2＝(Absolute time-T8)/C*100 (19)

Among them, the scheduled maintenance time C in the time dimension is the calibration amount. For example, the starting calibration value can be preset to 1 year; when the KL15 is powered off, the T8 is stored through the VCU (BSW) and sent to the cloud through the T-BOX for storage. , and then send it back for verification and arbitration to get the initial value for this calculation after the next power-on.

Optionally, in the embodiment of the present invention, the remaining maintenance health of the engine is arbitrated and calculated based on the mileage dimension health and the time dimension health. The calculation of the remaining maintenance time and the remaining maintenance mileage includes the following formula:

Pct＝100-MAX(A1,A2) (20)

Rng＝B*(100-A1)/100 (21)

T＝C*(100-A2)/100 (22)

Optionally, in the embodiment of the present invention, storing the data in the mileage dimension and the time dimension during maintenance, and initializing the data in the mileage dimension and time dimension after maintenance include: respectively passing when the hybrid controller is powered off. The vehicle controller or the lane change blind spot warning system stores the data in the mileage dimension and the time dimension, and sends it to the cloud through the vehicle terminal to store the data in the mileage dimension and time dimension, and the mileage dimension and time dimension will be stored when the hybrid controller is powered on next time. The dimension data is sent back to the vehicle end for verification and arbitration to obtain the current initial value.

In another embodiment of the present invention, a range-extended vehicle intelligent maintenance device is provided. As shown in Figure 5, the vehicle intelligent maintenance device 200 includes: a mileage dimension health unit 201 for obtaining the range extender after engine maintenance, etc. The mileage dimension health degree is calculated according to the effective working mileage of the range extender after engine maintenance and the range extender maintenance mileage in the time dimension; the time dimension health degree unit 203 is used to obtain Calendar time after engine maintenance, the time dimension health is calculated according to the scheduled maintenance time; the arbitration unit 205 is used to arbitrate and calculate the engine's remaining maintenance health, remaining maintenance time and remaining maintenance mileage based on the mileage dimension health and time dimension health. And display the remaining maintenance percentage, remaining maintenance time and remaining maintenance mileage; the initialization unit 207 is used to store the mileage dimension and time dimension data during maintenance, and initialize the mileage dimension and time dimension data after maintenance.

In another embodiment of the present invention, an electronic device, as shown in Figure 6, the electronic device 300 includes: a memory 310 for storing non-transitory computer readable instructions; and a processor 320 for running the Computer-readable instructions enable the above-described extended-range vehicle intelligent maintenance method to be implemented when the computer-readable instructions are executed by the processor.

In another embodiment of the present invention, a computer-readable storage medium 330 includes computer instructions. When the computer instructions are run on the device, the above-mentioned extended-range vehicle intelligent maintenance method is implemented. The above-mentioned intelligent maintenance method of extended-range vehicles is introduced in the above description and will not be repeated here.

In another embodiment of the present invention, a vehicle includes the above-mentioned extended-range vehicle intelligent maintenance device 200 . The extended-range vehicle intelligent maintenance device 200 is introduced in the above description and will not be described in detail here.

In one embodiment of the present invention, the structure diagram of the signal input processing of mileage dimension health and time dimension health data can be shown in Figure 7. The hybrid controller (HCU) can receive the engine management system (EMS), The gateway (GW), motor control module (MCU), airbag control module (ACU), diagnostic instrument, body electronic stability module (ESP), intelligent power assist module (ESP), and lane change blind spot warning system (BSW) send out real-time Signals with mileage-dimension health and time-dimension health-related data are output to the human-computer interaction unit (HU) and vehicle-mounted terminal (T-BOX) for storage and display after calculation and processing in the runtime environment and application software layer, such as The human-computer interaction unit (HU) displays the real-time processing and calculation of the remaining maintenance health, remaining maintenance mileage and remaining maintenance time data information, which can be calculated and processed in the runtime environment and application software layer through the vehicle-mounted terminal (T-BOX) And store the number of deep depressions on the brake pedal, the number of deep depressions on the accelerator pedal, running time under high temperature, running time of range extender under high temperature, running time in high dust environment, running time under mountain conditions, idling time, range extender Data information such as rest time and the last start time of the range extender. Specifically, the hybrid controller (HCU) can receive the EMS signal sent by the engine management system (EMS). The EMS signal contains range extender speed data, range extender execution torque data and range extender water temperature data. The gateway (GW) can record the current ambient temperature data, timestamp data and PM10 data, and send the above-mentioned data signal carrying the above-mentioned data to the HCU. The motor control module (MCU) sends the real-time detected motor execution torque data and motor speed data to the HCU through MCU signals. The airbag control module (ACU) transmits the real-time detected acceleration data to the HCU through signals. The diagnostic instrument The real-time detected maintenance mark data information is transmitted to the HCU through the diagnostic instrument data signal. The body electronic stability module (ESP) detects and collects the vehicle speed and brake cylinder pressure data in real time and converts them into vehicle speed signals and brake cylinder pressure signals respectively and transmits them to the HCU; the intelligent boost module (IB, the full name of IB is IBooster ) sends the real-time detected brake pedal status and brake pedal stroke data to the HCU through the IB signal; at the same time, the lane change blind spot warning system (BSW) transmits the first voltage of the accelerator pedal, the second voltage of the accelerator pedal, The first power supply voltage of the accelerator pedal and the second power supply voltage of the accelerator pedal are respectively converted into a first voltage signal of the accelerator pedal, a second voltage signal of the accelerator pedal, a first power supply voltage signal of the accelerator pedal and a second power supply voltage signal of the accelerator pedal, and then transmitted to the HCU. It is used by HCU to calculate, process and output the above data information in the runtime environment and application software layer. Among them, range extender speed data, range extender water temperature data, ambient temperature data, PM10 data motor execution torque data, motor speed data, acceleration data, brake cylinder pressure data, brake pedal stroke data, accelerator pedal first voltage, The data of the second voltage of the accelerator pedal, the first power supply voltage of the accelerator pedal and the second power supply voltage of the accelerator pedal, as well as the data of the remaining maintenance health, the remaining maintenance mileage and the remaining maintenance time are mainly used to calculate the above various influencing factors (such as idle speed influencing factors). , static influence factor, temperature influence factor, driving environment influence factor, driving habit influence factor). At the same time, it should be pointed out that the connection between the blind spot warning system (BSW) and the HCU is electrically connected through hard wires. For calculation processing, please refer to the above. The explanation of the extended-range vehicle intelligent maintenance method will not be repeated here.

The above are only preferred embodiments of the present invention, and do not limit the present invention in any form. Although the present invention has been disclosed above in preferred embodiments, it is not intended to limit the present invention. Anyone familiar with this field will Skilled personnel, without departing from the scope of the technical solution of the present invention, can use the technical content disclosed above to make some changes or modifications into equivalent embodiments with equivalent changes. Technical Essence Any simple modifications, equivalent changes and modifications made to the above embodiments still fall within the scope of the technical solution of the present invention.

Claims

Extended-range vehicle intelligent maintenance method, characterized in that the method includes:

Obtain the equivalent working mileage of the range extender after engine maintenance and the maintenance mileage of the range extender in the time dimension, and calculate the healthiness of the mileage dimension based on the equivalent working mileage of the range extender after engine maintenance and the maintenance mileage of the range extender in the time dimension;

Obtain the calendar time after engine maintenance, and calculate the time dimension health based on the scheduled maintenance time;

Arbitrate and calculate the engine's remaining maintenance health, remaining maintenance time and remaining maintenance mileage based on the mileage dimension health and time dimension health, and display the remaining maintenance percentage, remaining maintenance time and remaining maintenance mileage;

Store the data in the mileage dimension and time dimension during maintenance, and initialize the data in the mileage dimension and time dimension after maintenance.
The intelligent maintenance method of a range extender vehicle according to claim 1, wherein the obtaining the equivalent working mileage of the range extender after engine maintenance includes:

Multiply the obtained objective mileage of the engine in each timing period and the mileage compensation factor to obtain the mileage traveled in each timing period after engine maintenance;

The accumulated mileage after engine maintenance is obtained by accumulating the mileage traveled in each timing period after engine maintenance. The ratio of the accumulated mileage after engine maintenance and the scheduled maintenance mileage is multiplied by the first weighting coefficient to obtain the accumulated mileage after engine maintenance. Equivalent working mileage of range extender.
The intelligent maintenance method for an extended-range vehicle according to claim 2, wherein the ratio of the accumulated mileage after engine maintenance and the scheduled maintenance mileage is multiplied by a first weighting coefficient as the extended-range after engine maintenance. The equivalent working mileage of the machine includes:

Wake up the hybrid controller and arbitrate the initial value of the accumulated mileage output after the actuator is powered on;

Accumulate the vehicle speed signal sent by the vehicle body electronic stability system in real time to obtain a cumulative value, multiply the cumulative value with the mileage compensation factor and then accumulate it to the initial value of the cumulative mileage to obtain the cumulative mileage after accumulation;

The accumulated mileage will be regarded as the accumulated mileage after engine maintenance;

The ratio of the accumulated mileage after engine maintenance to the scheduled maintenance mileage is multiplied by the first weighting coefficient to determine the equivalent working mileage of the range extender after engine maintenance.
The intelligent maintenance method of extended-range vehicles according to claim 1, characterized in that calculating the mileage dimension health degree based on the equivalent working mileage of the range extender after engine maintenance and the range extender maintenance mileage in the time dimension includes:

In the mileage dimension, the equivalent working mileage of the range extender is calculated based on the working mileage of the range extender and the mileage impact factor after engine maintenance;

In the time dimension, the first impact value of the engine maintenance mileage is calculated based on the idle time, and the second impact value of the engine maintenance mileage is calculated based on the idle time;

Calculate the mileage dimension health based on the equivalent working mileage of the range extender, the first impact value and the second impact value.
The intelligent maintenance method for extended-range vehicles according to claim 4, wherein the mileage influencing factors after engine maintenance include:

Calculate the mileage impact factor of driving habit factors based on the driving habit data detected by monitoring;

Calculate the driving temperature factor mileage impact factor based on the monitored driving temperature data;

Calculate the mileage compensation factor for driving environment factors based on the data of inhalable particulate matter in the monitored and detected environment;

Calculate the mileage compensation factor for driving road conditions based on the acceleration data of the vehicle detected by monitoring;

The mileage impact factor after engine maintenance is obtained by summing the mileage impact factor of driving habit factors, mileage impact factor of driving temperature factor, mileage compensation factor of driving environment factors and mileage compensation factor of driving road condition factors.
The intelligent maintenance method of an extended-range vehicle according to claim 5, wherein the calculation of the driving habit factor mileage influencing factor based on the monitoring and detected driving habit data includes:

Monitor the brake pedal depth signal and calculate the deep brake pedal mileage compensation factor;

Monitor the signal of deep depression of the accelerator pedal and calculate the mileage compensation factor of deep depression of the accelerator pedal;

The driving habit factor mileage influence factor is obtained by summing the mileage compensation factor of deep depression of the brake pedal and the mileage compensation factor of deep depression of the accelerator pedal.
The intelligent maintenance method of extended-range vehicles according to claim 5, wherein the calculation of the mileage impact factor of the driving temperature factor based on the driving temperature data detected by monitoring includes:

Monitor the detected external temperature data and calculate the external temperature mileage compensation factor;

Monitor the detected range extender water temperature data and calculate the range extender water temperature mileage compensation factor;

The driving temperature factor mileage influence factor is obtained by summing the outside temperature mileage compensation factor and the range extender water temperature mileage compensation factor.
The intelligent maintenance method for extended-range vehicles according to claim 5, wherein the calculation of the driving environment factor mileage compensation factor based on the inhalable particulate matter data in the monitored and detected environment includes:

Wake up the hybrid controller and arbitrate the time initial value for outputting the driving environment factor mileage compensation factor after the actuator is powered on;

Detect the concentration value in the inhalable particulate matter concentration data signal in the environment in real time;

If the concentration value in the inhalable particulate matter concentration data signal in the environment is greater than the first preset threshold, then start timing from the time initial value of the driving environment factor mileage compensation factor to obtain the first timing time; otherwise,

The timer remains at zero;

If the first timing time exceeds the first preset time value, the first timing time is accumulated to the time initial value of the driving environment factor mileage compensation factor to obtain the first accumulated time; otherwise, the current first timing time is Time returns to zero;

The calibrated ratio of the first accumulated time to the first preset time value is used as the driving environment factor mileage compensation factor.
The intelligent maintenance method of an extended-range vehicle according to claim 5, wherein the calculation of the driving road condition factor mileage compensation factor based on the vehicle acceleration data detected by monitoring includes:

Wake up the hybrid controller and arbitrate the initial value of the time for outputting the driving road condition factor mileage compensation factor after the actuator is powered on;

Real-time detection of acceleration values in vehicle acceleration data signals in the environment;

If the acceleration value in the vehicle acceleration data signal in the environment is greater than the second preset threshold, then start timing from the time initial value of the driving road condition factor mileage compensation factor to obtain the second timing time; otherwise,

The timer remains at zero;

If the second timing time exceeds the second preset time value, the second timing time is accumulated to the time initial value of the driving road condition factor mileage compensation factor to obtain the second accumulated time; otherwise, the current second timing time is Time returns to zero;

The ratio of the second accumulation time to the second calibration value is used as the driving road condition factor mileage compensation factor.
The intelligent maintenance method of an extended-range vehicle according to claim 6, wherein the monitoring of the brake pedal depth signal and calculating the deep brake pedal mileage compensation factor include:

Wake up the hybrid controller and arbitrate the initial value of the number of times the actuator outputs the mileage compensation factor of deep braking after powering on;

Real-time detection of the number of deep brake pedal depressions in the brake pedal data signal in the environment;

If the number of times of deep braking pedal depression in the deep braking pedal pedal signal in the environment is greater than the third preset threshold, then starting from the initial value of the number of times of deep depression of the brake pedal mileage compensation factor to obtain the third timing time; otherwise,

The timer remains at zero;

If the third timing time exceeds the third preset time value, then the number of times in the third timing time is accumulated to the initial value of the number of times of the deep brake pedal mileage compensation factor to obtain the third accumulated number of times; otherwise, Return the current third timer to zero;

The ratio of the third accumulated number of times to the third preset calibration value is used as the deep brake pedal mileage compensation factor.
The intelligent maintenance method of an extended-range vehicle according to claim 6, wherein the monitoring the deep depression signal of the accelerator pedal and calculating the deep depression mileage compensation factor includes:

Wake up the hybrid controller and arbitrate the initial value of the number of times the accelerator pedal is deeply depressed and the mileage compensation factor is output after the actuator is powered on;

Real-time detection of the number of deep depressions in the accelerator pedal data signal in the environment;

If the number of times the accelerator pedal is deeply depressed in the accelerator pedal data signal in the environment is greater than the fourth preset threshold, then the fourth timing time is obtained from the initial value of the number of times the brake pedal mileage compensation factor is deeply depressed; otherwise,

The timer remains at zero;

If the fourth timing time exceeds the fourth preset time value, then the number of times within the fourth timing time is accumulated to the initial value of the number of times of deep depression of the accelerator pedal mileage compensation factor to obtain the fourth accumulated number of times; otherwise, The current fourth timer resets to zero;

The ratio of the fourth accumulated number of times to the fourth preset calibration value is used as the accelerator pedal mileage compensation factor.
The intelligent maintenance method of extended-range vehicles according to claim 7, characterized in that, based on the external temperature data detected by the monitoring, calculating the external temperature mileage compensation factor includes:

Wake up the hybrid controller and arbitrate the initial time value of the external temperature mileage compensation factor output after the actuator is powered on;

Detect the temperature value in the external temperature data signal in the environment in real time;

If the temperature value in the outside temperature data signal in the environment is greater than the fifth preset threshold, then start timing from the time initial value of the outside temperature mileage compensation factor to obtain the fifth timing time; otherwise,

The timer remains at zero;

If the fifth timing time exceeds the fifth preset time value, then the fifth timing time is accumulated to the time initial value of the outside temperature mileage compensation factor to obtain the fifth accumulated time; otherwise,

Reset the current fifth timer to zero;

The ratio of the fifth accumulation time to the fifth preset calibration value is used as the outside temperature mileage compensation factor.
The intelligent maintenance method of a range extender vehicle according to claim 7, characterized in that, based on the range extender water temperature data detected by the monitoring, calculating the range extender water temperature mileage compensation factor includes:

Wake up the hybrid controller and arbitrate the time initial value of the range extender water temperature mileage compensation factor output after the actuator is powered on;

Real-time detection of water temperature in the range extender water temperature data signal in the environment;

If the water temperature in the range extender water temperature data signal in the environment is greater than the sixth preset threshold, then start timing from the time initial value of the range extender water temperature mileage compensation factor to obtain the sixth timing time; otherwise,

The timer remains at zero;

If the sixth timing time exceeds the sixth preset time value, then the sixth timing time is accumulated to the time initial value of the range extender water temperature mileage compensation factor to obtain the sixth accumulation time; otherwise,

Reset the current sixth timer to zero;

The ratio of the sixth accumulation time to the sixth preset calibration value is used as the range extender water temperature mileage compensation factor.
The intelligent maintenance method for extended-range vehicles according to claim 4, wherein the first influence value of calculating the engine maintenance mileage based on the idling duration includes:

Wake up the hybrid controller and arbitrate the initial value of the current idle time after the actuator is powered on;

Real-time detection of range extender idle flag and seventh timing time;

If the idle speed flag is 1 and the seventh timing time exceeds the seventh preset threshold, the seventh timing time is obtained from the current initial idle time value, and the seventh timing time is accumulated to the initial idle time. value to obtain the seventh accumulated idle time; otherwise, the timing will not be counted or the current timing will be reset to zero;

The seventh accumulated idle time is used as the accumulated idle time after engine maintenance;

The first influence value is the ratio of the accumulated idling time after engine maintenance to the scheduled maintenance mileage multiplied by the second weighting coefficient.
The intelligent maintenance method of an extended-range vehicle according to claim 4, wherein the second influence value of calculating the engine maintenance mileage based on the standing time includes:

Wake up the hybrid controller and arbitrate the vehicle lock-in time after maintenance after the actuator is powered on and the time when the current range extender is turned off;

Detect the status of the range extender in real time. If the range extender is in the activated state, the difference between the start time of the range extender and the time when the range extender was extinguished during the previous operation is used as the disable time of the previous range extender;

If the disabling time of the previous range extender is greater than the eighth preset threshold, then the disabling time of the previous range extender is added to the post-maintenance vehicle disabling time to obtain the accumulated post-maintenance vehicle disabling time;

The vehicle suspension time after cumulative maintenance is regarded as the cumulative parking time after engine maintenance;

The second influence value is the ratio of the accumulated rest time after engine maintenance to the scheduled maintenance mileage multiplied by the third weighting coefficient.
The intelligent maintenance method of extended-range vehicles according to claim 4, wherein the calculation of the mileage dimension health degree based on the equivalent working mileage of the range extender, the first influence value and the second influence value includes:

The mileage dimension health degree is obtained by summing the equivalent working mileage of the range extender, the first impact value and the second impact value.
The intelligent maintenance method for extended-range vehicles according to claim 1, wherein said obtaining the calendar time after engine maintenance and calculating the time dimension health degree according to the scheduled maintenance time includes:

Wake up the hybrid controller and arbitrate the initial value of the time after the last maintenance after the actuator is powered on;

The ratio of the difference obtained by subtracting the initial value of time after the previous maintenance from the current time and the scheduled maintenance time is the time dimension health degree.
The intelligent maintenance method for extended-range vehicles according to claim 1, wherein the remaining maintenance health of the engine is arbitrated and calculated based on the health of the mileage dimension and the health of the time dimension, and the remaining maintenance time and remaining maintenance mileage include:

Pct=100-MAX(A1,A2);

Rng＝B*(100-A1)/100;

T＝C*(100-A2)/100;

Among them, Pct is the remaining maintenance health of the engine, A1 is the mileage dimension health, A2 is the time dimension health, Rng is the remaining maintenance mileage, B is the scheduled maintenance mileage, T is the remaining maintenance time, and C is the scheduled maintenance time.
The intelligent maintenance method of extended-range vehicles according to claim 1, characterized in that said storing the data of mileage dimension and time dimension during maintenance, and initializing the data of mileage dimension and time dimension after maintenance include:

When the hybrid controller is powered off, the data in the mileage dimension and the time dimension are stored in the vehicle controller or the lane change blind spot warning system, and are sent to the cloud through the vehicle terminal to store the data in the mileage dimension and time dimension, and the data will be used by the hybrid controller next time. After power-on, the data in the mileage dimension and time dimension are sent back to the vehicle for verification and arbitration to obtain the current initial value.
An extended-range vehicle intelligent maintenance device, which is characterized by including:

The mileage dimension health unit is used to obtain the equivalent working mileage of the range extender after engine maintenance and the maintenance mileage of the range extender in the time dimension. According to the equivalent working mileage of the range extender after engine maintenance and the maintenance of the range extender in the time dimension Mileage calculation mileage dimension health;

The time dimension health unit is used to obtain the calendar time after engine maintenance and calculate the time dimension health based on the scheduled maintenance time;

The arbitration unit is used to arbitrate and calculate the engine's remaining maintenance health, remaining maintenance time and remaining maintenance mileage based on the mileage dimension health and time dimension health, and display the remaining maintenance percentage, remaining maintenance time and remaining maintenance mileage;

The initialization unit is used to store data in the mileage dimension and time dimension during maintenance, and initialize data in the mileage dimension and time dimension after maintenance.
An electronic device, characterized by including:

memory for storing non-transitory computer-readable instructions; and

A processor, configured to run the computer-readable instructions, so that when the computer-readable instructions are executed by the processor, the extended-range vehicle intelligent maintenance method according to any one of claims 1 to 19 is implemented.
A computer-readable storage medium, characterized in that it includes computer instructions. When the computer instructions are run on a device, the extended-range vehicle intelligent maintenance method according to any one of claims 1 to 19 is implemented.
A vehicle, characterized by comprising the extended-range vehicle intelligent maintenance device as claimed in claim 20.