CN113830012A

CN113830012A - Vehicle high fuel consumption reason diagnosis method, device, equipment and storage medium

Info

Publication number: CN113830012A
Application number: CN202111013387.0A
Authority: CN
Inventors: 夏先文
Original assignee: Beijing CHJ Automobile Technology Co Ltd
Current assignee: Beijing CHJ Automobile Technology Co Ltd
Priority date: 2021-08-31
Filing date: 2021-08-31
Publication date: 2021-12-24
Anticipated expiration: 2041-08-31
Also published as: CN113830012B

Abstract

The disclosure provides a method, a device, equipment and a storage medium for diagnosing reasons of high fuel consumption of a vehicle. The method for diagnosing the reason for high fuel consumption of the vehicle comprises the following steps: acquiring characteristic parameters representing the energy consumption characteristics of a vehicle to be diagnosed when an engine runs and corresponding characteristic parameter thresholds, wherein the characteristic parameters comprise at least one of parameters representing non-driving load characteristics, parameters representing driving load characteristics and parameters representing engine efficiency characteristics; and determining the diagnosis index corresponding to the characteristic parameter as a reason for causing high oil consumption of the vehicle to be diagnosed in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value meeting the preset size relationship. The driver is informed of the corresponding diagnosis index, and the driver can be prompted to adjust own vehicle using habit based on the output diagnosis index so as to reduce the fuel consumption of the vehicle.

Description

Vehicle high fuel consumption reason diagnosis method, device, equipment and storage medium

Technical Field

The disclosure relates to the technical field of vehicles, in particular to a method, a device, equipment and a storage medium for diagnosing reasons of high fuel consumption of a vehicle.

Background

In the related art, a vehicle-mounted system of a vehicle can acquire actual oil consumption and reference oil consumption of the vehicle, determine whether the vehicle oil consumption is too high based on the actual oil consumption and the reference oil consumption, and prompt a driver to improve a vehicle using behavior under the condition that the vehicle oil consumption is too high. However, the related art can only determine that the actual fuel consumption of the vehicle is too high, and cannot determine the reason causing the actual fuel consumption of the vehicle, so that the driver cannot be provided with a suggestion for reducing the fuel consumption of the vehicle in a targeted manner.

Disclosure of Invention

In order to solve the technical problems or at least partially solve the technical problems, the present disclosure provides a method, an apparatus, and a storage medium for diagnosing causes of high fuel consumption of a vehicle.

In one aspect, an embodiment of the present disclosure provides a method for diagnosing a cause of high fuel consumption of a vehicle, including:

acquiring characteristic parameters representing energy consumption characteristics of a vehicle to be diagnosed when the engine runs, wherein the characteristic parameters comprise at least one of parameters representing non-driving load characteristics, parameters representing driving load characteristics and parameters representing engine efficiency characteristics;

and determining a diagnosis index corresponding to the characteristic parameter as a reason for causing high oil consumption of the vehicle to be diagnosed in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value meeting a preset size relationship.

Optionally, before the obtaining of the characteristic parameter characterizing the energy consumption characteristic of the vehicle to be diagnosed when the engine is running, the method further comprises: acquiring unit mileage oil consumption of the vehicle to be diagnosed when an engine runs;

and in the case that the oil consumption per unit mileage of the vehicle is greater than the oil consumption per unit mileage of the reference, executing the step of acquiring the characteristic parameter representing the energy consumption characteristic of the vehicle to be diagnosed when the engine runs.

Optionally, before obtaining the characteristic parameter characterizing the energy consumption of the vehicle to be diagnosed when the engine is running, the method further comprises:

acquiring the characteristic parameters of a plurality of vehicles of the same type as the vehicle to be diagnosed;

sorting the characteristic parameters of the same type of the plurality of vehicles, and taking the characteristic parameters at a preset sorting position as the characteristic parameter threshold corresponding to the characteristic parameters of the same type; or,

calculating a characteristic parameter mean value and a characteristic parameter standard deviation based on the characteristic parameters of the same type of the plurality of vehicles, and calculating the characteristic parameter threshold corresponding to the characteristic parameters of the same type according to the characteristic parameter mean value and the characteristic parameter standard deviation.

Optionally, the parameter characterizing the non-driven load comprises an accessory average power;

the obtaining of characteristic parameters representing energy consumption characteristics of the vehicle to be diagnosed when the engine runs comprises the following steps:

acquiring the total accessory energy consumption of the vehicle to be diagnosed when an engine runs and the running time of the engine;

calculating the accessory average power based on the accessory total energy consumption and the runtime;

the step of determining the reason for causing the high oil consumption of the vehicle to be diagnosed by the diagnostic index corresponding to the characteristic parameter in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value meeting the preset size relationship comprises the following steps: and in response to the fact that the average accessory power of the vehicle to be diagnosed is higher than the average accessory power threshold, determining that the overhigh accessory power is the reason for the high fuel consumption of the vehicle to be diagnosed.

Optionally, the vehicle to be diagnosed is a hybrid vehicle, and the parameter characterizing the non-driving load characteristic includes a mileage recharge amount;

acquiring the recharging quantity and the driving mileage of the vehicle to be diagnosed when an engine runs;

calculating the unit mileage recharge amount based on the recharge amount and the mileage;

the step of determining the diagnosis index corresponding to the characteristic parameter as the reason for causing the high oil consumption of the vehicle to be diagnosed in response to the characteristic parameter of the vehicle and the corresponding characteristic parameter threshold value meeting the preset size relationship comprises the following steps: in response to the unit mileage recharge amount of the vehicle to be diagnosed being greater than the unit mileage recharge amount threshold value, determining that charging the power battery of the vehicle to be diagnosed more is a cause of high fuel consumption of the vehicle.

Optionally, the parameter characterizing the driving load characteristic comprises a driving aggressiveness coefficient;

acquiring the speed and the acceleration of the vehicle to be diagnosed when an engine runs and the vehicle is in an acceleration phase;

calculating the driving aggressiveness factor based on the speed and the acceleration;

the step of determining the reason for causing the high oil consumption of the vehicle to be diagnosed by the diagnostic index corresponding to the characteristic parameter in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value meeting the preset size relationship comprises the following steps: and determining that aggressive driving is the reason for high fuel consumption of the vehicle to be diagnosed in response to the fact that the driving aggressive coefficient of the vehicle to be diagnosed is larger than the driving aggressive coefficient threshold value.

Optionally, the vehicle to be diagnosed is a hybrid vehicle, and the parameter characterizing the driving load characteristic comprises a high vehicle speed mileage percentage;

acquiring the total driving mileage of the vehicle to be diagnosed when an engine runs and the driving mileage of which the speed exceeds a preset speed;

calculating the high vehicle speed mileage proportion based on the driving mileage exceeding the preset vehicle speed and the total driving mileage;

the step of determining the reason for causing the high oil consumption of the vehicle to be diagnosed by the diagnostic index corresponding to the characteristic parameter in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value meeting the preset size relationship comprises the following steps: and determining that a large proportion of high-speed driving is the reason for high fuel consumption of the vehicle to be diagnosed in response to the high-speed mileage accounting ratio of the vehicle to be diagnosed being greater than a high-speed mileage accounting ratio threshold value.

Optionally, the vehicle to be diagnosed is a hybrid vehicle, and the parameter indicative of the driving load characteristic includes a driving power consumption per mileage;

acquiring the driving power consumption and the driving mileage of the vehicle to be diagnosed when an engine runs;

calculating the unit mileage driving power consumption based on the driving power consumption and the mileage;

the step of determining the reason for causing the high oil consumption of the vehicle to be diagnosed by the diagnostic index corresponding to the characteristic parameter in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value meeting the preset size relationship comprises the following steps: determining that high driving power consumption is responsible for high fuel consumption of the vehicle to be diagnosed in response to the driving power consumption per unit mileage of the vehicle being greater than a driving power consumption per unit mileage threshold.

Optionally, the parameter characterizing engine efficiency comprises an inefficient run-time fraction;

acquiring inefficient working time and total running time when the engine runs;

calculating the inefficient run-time fraction based on the inefficient run-time and the total run-time;

the step of determining the reason for causing the high oil consumption of the vehicle to be diagnosed by the diagnostic index corresponding to the characteristic parameter in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value meeting the preset size relationship comprises the following steps: in response to the inefficient operating time fraction of the vehicle engine to be diagnosed being greater than an inefficient operating time fraction threshold, determining that long term inefficient operation of the engine is responsible for high fuel consumption by the vehicle to be diagnosed.

Optionally, the parameter characterizing engine efficiency includes warm-up time over time;

acquiring the warm-up running time and the total running time of the engine;

calculating the warm-up time ratio based on the warm-up operation time and the total operation time;

the step of determining the reason for causing the high oil consumption of the vehicle to be diagnosed by the diagnostic index corresponding to the characteristic parameter in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value meeting the preset size relationship comprises the following steps: and in response to the fact that the warm-up time ratio of the vehicle engine is larger than a warm-up time ratio threshold value, determining that the excessively long warm-up time is the cause of high fuel consumption of the vehicle to be diagnosed.

Optionally, the vehicle to be diagnosed is a hybrid vehicle with an energy recovery function, and the characteristic parameter further includes a recovered driving energy ratio;

acquiring the recovered electric quantity and the driving electric consumption of the vehicle to be diagnosed when an engine runs;

calculating the recovered driving energy ratio based on the recovered electric quantity and the driving electric power consumption;

the step of determining the diagnosis index corresponding to the characteristic parameter as the reason for causing the high oil consumption of the vehicle to be diagnosed in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value meeting the preset size relationship comprises the following steps: and determining that the lower energy recovery rate setting is the cause of the high fuel consumption of the vehicle to be diagnosed in response to the recovered driving energy ratio of the vehicle being less than the recovered driving energy ratio threshold.

In another aspect, an embodiment of the present disclosure provides a diagnosis apparatus for a cause of high fuel consumption of a vehicle, including:

the system comprises a characteristic parameter acquisition unit, a characteristic parameter acquisition unit and a corresponding characteristic parameter threshold, wherein the characteristic parameter acquisition unit is used for acquiring a characteristic parameter representing the energy consumption characteristic of a vehicle to be diagnosed when the engine runs, and the characteristic parameter threshold corresponds to the characteristic parameter threshold, and the characteristic parameter comprises at least one of a parameter representing the characteristic of a non-driving load, a parameter representing the characteristic of a driving load and a parameter representing the characteristic of the efficiency of the engine;

and the diagnosis unit is used for responding to the condition that the characteristic parameters of the vehicle to be diagnosed and the corresponding characteristic parameter threshold values meet the preset size relationship, and determining the diagnosis indexes corresponding to the characteristic parameters as the reasons for causing the high oil consumption of the vehicle to be diagnosed.

In yet another aspect, an embodiment of the present disclosure provides a computer device, including: a processor; and a memory storing a program, wherein the program comprises instructions which, when executed by the processor, cause the processor to execute the method for diagnosing the cause of high fuel consumption in a vehicle as described above.

In still another aspect, embodiments of the present disclosure provide a non-transitory computer-readable storage medium storing computer instructions, where the computer instructions are configured to cause the computer to execute the method for diagnosing the cause of high fuel consumption in a vehicle as described above.

Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages: by adopting the technical scheme provided by the embodiment of the disclosure, the characteristic parameter representing the oil consumption characteristic of the vehicle to be diagnosed when the engine runs and the corresponding characteristic parameter threshold are obtained, the size of the characteristic parameter and the corresponding characteristic parameter threshold are compared, and the diagnosis index corresponding to the characteristic parameter is determined as the reason for causing high oil consumption of the vehicle to be diagnosed under the condition that the size relation of the characteristic parameter and the corresponding characteristic parameter threshold meets the preset size relation. The driver is informed of the corresponding diagnosis index, and the driver can be prompted to adjust own vehicle using habit based on the output diagnosis index so as to reduce the fuel consumption of the vehicle.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.

In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those skilled in the art that other drawings can be obtained from these drawings without inventive exercise, wherein:

FIG. 1 is a flowchart of a method for diagnosing a cause of high fuel consumption of a vehicle according to an embodiment of the present disclosure;

FIG. 2 is a flowchart of a method for diagnosing causes of high fuel consumption of a vehicle according to some other embodiments of the present disclosure;

fig. 3 is a schematic structural diagram of a vehicle high fuel consumption reason diagnosis device according to some embodiments of the present disclosure;

fig. 4 is a schematic structural diagram of a computer device provided in some embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description. It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.

Fig. 1 is a flowchart of a method for diagnosing a cause of high fuel consumption of a vehicle according to an embodiment of the present disclosure. As shown in fig. 1, the method for diagnosing the cause of high fuel consumption of the vehicle according to the embodiment of the present disclosure may include steps S101 to S102.

It should be noted that the diagnosis method provided by the embodiment of the present disclosure may be executed by a vehicle-side processor, and may also be executed by a cloud server in communication connection with a vehicle. When the diagnosis method is executed by the cloud server, the cloud server can determine the Vehicle needing high fuel consumption cause judgment based on the Vehicle Identification Number (VIN), namely determine the Vehicle to be diagnosed.

S101: and acquiring characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine runs and corresponding characteristic parameter thresholds.

In the embodiment of the disclosure, the characteristic parameters characterizing the energy consumption characteristics of the vehicle to be diagnosed when the engine runs may include at least one of a parameter characterizing the non-driving load characteristics, a parameter characterizing the driving load characteristics, and a parameter characterizing the engine efficiency characteristics, and each characteristic parameter corresponds to a diagnosis index of a cause causing high fuel consumption of the vehicle. It should be noted that the aforementioned various characteristic parameters are characteristic parameters that characterize the energy consumption of the vehicle over a period of time.

The characteristic parameter threshold is a parameter representing a more reasonable energy consumption characteristic. In the embodiment of the disclosure, the characteristic parameter threshold corresponds to the type of the aforementioned characteristic parameter that represents the energy consumption characteristic of the vehicle to be diagnosed when the engine is running.

In some embodiments of the present disclosure, the characteristic parameter threshold may be a parameter calculated based on characteristic parameters of a large number of vehicles of the same model when the engine is running. For example, the characteristic parameter threshold value may be obtained as follows.

The first method comprises the following steps: and sequencing the characteristic parameters of the same type of a large number of vehicles with the same model, and taking the characteristic parameters at the preset sequencing position as characteristic parameter thresholds corresponding to the characteristic parameters of the same type.

For example, if the average accessory power sent by vehicles of the same model is obtained, the average accessory power may be sorted from small to large, and the average accessory power at the occupancy percentage of 80% may be used as the characteristic parameter threshold corresponding to the characteristic parameter.

For another example, if the average accessory power and the aggressive driving coefficient sent by vehicles of the same model are obtained simultaneously, the average accessory power and the aggressive driving coefficient may be sorted respectively, the average accessory power with the occupancy ratio in 80% percentile is used as the average accessory power threshold, and the aggressive driving coefficient with the occupancy ratio in 80% percentile is used as the aggressive driving coefficient threshold.

The second method comprises the following steps: and calculating a mean value and a standard deviation according to the characteristic parameters of the same type of a large number of vehicles to be diagnosed of the same type, and determining a characteristic parameter threshold value based on the mean value and the standard deviation.

For example, if the average power of accessories transmitted by the same model vehicle is acquired, the average power of the accessories and the standard deviation of the average power of the accessories can be calculated based on the average power of the accessories of the vehicle passing the signal. Then, a calculated accessory power value is obtained as the accessory average power threshold based on the accessory average power mean plus three times the accessory average power standard deviation.

As another example, if the average accessory power and the recovered drive energy ratio transmitted by the same model vehicle are obtained, the average accessory power and the average accessory power standard deviation can be calculated, and the average recovered drive energy ratio and the standard deviation of the recovered drive energy ratio can be calculated. Then, based on the average power mean value of the accessory and three times of the standard deviation of the average power of the accessory, obtaining a calculated accessory power value as an accessory average power threshold value; and obtaining the calculated recovered driving energy ratio as a recovered driving energy ratio threshold value based on the fact that the recovered driving energy ratio standard deviation is subtracted by three times from the average value of the recovered driving energy ratios.

Further, in some further embodiments of the present disclosure, the characteristic parameter threshold may be determined by the host manufacturer based on vehicle road test data.

S102: and determining the diagnosis index corresponding to the characteristic parameter as a reason for causing high oil consumption of the vehicle to be diagnosed in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value meeting the preset size relationship.

After the characteristic parameters of the vehicle to be diagnosed and the corresponding characteristic parameter threshold values are obtained, the characteristic parameters of the vehicle to be diagnosed and the characteristic parameter threshold values are compared to determine the size relationship of the characteristic parameters and the characteristic parameter threshold values. And if the size relation between the characteristic parameters and the vehicle meets the preset size relation, the diagnosis index corresponding to the characteristic parameter is used as the reason for causing the high fuel consumption of the vehicle to be diagnosed. Wherein the preset magnitude relationship is specifically set according to the type of the characteristic parameter.

By adopting the high oil consumption diagnosis method for the vehicle to be diagnosed provided by the embodiment of the disclosure, the characteristic parameter representing the oil consumption characteristic of the vehicle to be diagnosed when the engine runs and the corresponding characteristic parameter threshold are obtained, the size of the characteristic parameter and the corresponding characteristic parameter threshold are compared, and the diagnosis index corresponding to the characteristic parameter is determined as the cause of the high oil consumption of the vehicle to be diagnosed under the condition that the size relationship of the characteristic parameter and the corresponding characteristic parameter threshold meets the preset size relationship. And informing the driver of the corresponding diagnosis index to prompt the driver to adjust own vehicle using habit based on the output diagnosis index, so that the fuel consumption of the vehicle can be reduced.

In some embodiments of the present disclosure, the characteristic parameter characterizing the non-driving load includes an average accessory power, and the diagnostic indicator corresponding to the characteristic parameter is that the accessory power is too high. Step S101 may include steps S1011-S1012.

S1011: acquiring the total accessory energy consumption and the running time of the engine of the vehicle to be diagnosed when the engine runs.

S1012: the accessory average power is calculated based on the accessory total energy consumption and the runtime.

In the embodiment of the disclosure, the total energy consumption of the accessories of the vehicle to be diagnosed is the total energy consumption of various accessories (such as an air conditioner compressor, an electric heater, an on-board unit system and various controllers) of the vehicle to be diagnosed in a preset time period. The engine operating time is the engine operating time during a predetermined period of time, i.e., the time during which the engine is started and powered by burning fuel during the predetermined period of time.

In an embodiment, the total energy consumption of the accessories of the vehicle to be diagnosed during the operation of the engine can be obtained by adding the energy consumption of each accessory during the operation of the engine, for example

Calculating to obtain total energy consumption W of accessories_AccessoriesWhere accessory i power is the instantaneous power of accessory i at runtime and Δ T is the runtime of accessory i at a particular instantaneous power. After obtaining the total energy consumption of the accessory and the running time of the engine, dividing the running time and the total energy consumption of the accessory to obtain the average power of the accessory

Where T is the engine run time, which can be obtained by adding up the time the engine is running in each driving cycle.

Corresponding to the foregoing steps S1011-S1012, step S102 may include: and in response to the average accessory power of the vehicle to be diagnosed being higher than the average accessory power threshold, determining that the overhigh accessory power is the reason for the high fuel consumption of the vehicle to be diagnosed.

The diagnosis index of the over-high accessory power is informed to the driver, so that the driver can be prompted to close the accessories of the vehicle to be diagnosed which are not needed to be used in due time, and the energy consumption of the accessories is reduced, so that the oil consumption of the vehicle is reduced.

In some embodiments of the present disclosure, the vehicle to be diagnosed is a hybrid vehicle (especially, an extended range electric vehicle), and when an engine of the vehicle to be diagnosed operates, the engine may charge a power battery in addition to driving the vehicle to be diagnosed to run and driving accessories to work. In this case, the parameter that characterizes the non-driving load characteristic of the vehicle to be diagnosed includes the unit mileage recharge amount. The unit mileage recharging amount represents the electric quantity generated by the generator and charged into the power battery when the vehicle runs for a unit mileage, and in the specific embodiment, the unit mileage recharging amount is mostly one hundred kilometers.

The diagnostic index corresponding to the characteristic parameter is that the power battery of the vehicle to be diagnosed is charged more. Step S101 may include steps S1013-S1014.

S1013: and acquiring the recharging quantity and the driving mileage of the vehicle to be diagnosed when the engine runs.

S1014: the unit mileage recharge amount is calculated based on the recharge amount and the mileage.

In the embodiment of the disclosure, the following method may be adopted to calculate the recharging amount of the vehicle to be diagnosed when the engine is running: the power battery charge level at the time of engine start and the power battery charge level at the time of engine stop in each driving cycle are acquired. And if the electric quantity of the power battery when the engine is stopped is larger than that when the engine is started, acquiring the electric quantity difference value of the power battery and the engine. And then accumulating the electric quantity difference value in the preset time period to obtain the recharging quantity of the engine in the preset time period. And finally, dividing the recharging amount by the driving mileage of the vehicle to be diagnosed when the engine runs to obtain the unit recharging amount.

For example, in some embodiments of the present disclosure, a combination of the above-described methods may be employed

Calculating to obtain the hundred kilometers recharging quantity E_{Hundred kilometers of recharge quantity}。

Corresponding to the foregoing steps S1013-S1014, the step S102 may include: and in response to the unit recharging amount of the vehicle to be diagnosed being larger than the unit recharging amount threshold value, determining that more charging of the power battery of the vehicle to be diagnosed is a cause of the fuel consumption of the vehicle to be diagnosed.

The driver is informed of more charged power batteries of the vehicle to be diagnosed as a diagnosis index, and can be prompted to charge the power batteries in an external charging mode so as to reduce high oil consumption caused by the back charging amount due to the driving of the engine to generate electricity.

In some embodiments of the present disclosure, the parameter characterizing the driving load characteristic may include an aggressive driving coefficient. And the aggressive driving coefficient represents a coefficient of the violence degree of the driver for driving the vehicle to be diagnosed, and the corresponding diagnosis index is aggressive driving. Step S101 may include S1015-S1016.

S1015: the speed and acceleration of the vehicle to be diagnosed are obtained when the engine is running and in an acceleration phase.

S1016: a driving aggressiveness factor is calculated based on the speed and the acceleration.

In some embodiments of the present disclosure, the vehicle is a motorcycleIn the case of a speed sensor as the sensor in the vehicle, a formula may be used

Calculating to obtain the sub-aggressive driving coefficients v in each acceleration stage_nVehicle speed, v, measured for a vehicle by a speed sensor at time n_n+1Vehicle speed measured by the speed sensor at the moment n +1, Δ T is the vehicle speed sampling time interval, v_n+1＞v_nSubsequently adopt

And calculating to obtain an aggressive driving coefficient beta in a preset time period. In some embodiments of the present disclosure, in a case where the vehicle is configured with a speed sensor and an acceleration sensor, the aggressive driving coefficient β may be calculated by multiplying the speed detected by the speed sensor and the acceleration detected by the acceleration sensor.

Corresponding to the foregoing steps S1015-S1016, step S102 may include: and determining that aggressive driving is the reason of the overhigh oil consumption of the vehicle to be diagnosed in response to the fact that the aggressive driving coefficient of the vehicle to be diagnosed is larger than the aggressive driving coefficient threshold value.

The reason that the aggressive driving causes the fuel consumption of the vehicle to be diagnosed to be too high is informed to the driver, so that the driver can be prompted to pay attention to the driving habit, and the fuel consumption is prevented from being increased due to rapid acceleration operation.

In some embodiments of the disclosure, the vehicle to be diagnosed is a hybrid vehicle, and the parameter characterizing the driving load characteristic may include a high vehicle speed mileage percentage, which corresponds to a high vehicle speed driving with a large ratio of diagnostic indicators. The corresponding step S101 may comprise steps S1017-S1018.

S1017: and acquiring the driving mileage and the total driving mileage of the vehicle to be diagnosed when the engine runs and the vehicle speed exceeds the preset vehicle speed.

S1018: and calculating the high vehicle speed mileage ratio based on the driving mileage exceeding the preset vehicle speed and the total driving mileage.

In the specific embodiment of the disclosure, the driving mileage and the total trip mileage exceeding the preset speed when the vehicle to be diagnosed runs by adopting the engine can be obtained. Then, the ratio of the traveled mileage exceeding the preset vehicle speed to the total traveled mileage is calculated as a high vehicle speed mileage proportion. For example, the mileage driven by the engine output and the vehicle speed exceeding 90km/h may be calculated and compared with the total mileage to calculate a high vehicle speed mileage.

Corresponding to the foregoing steps S1017-S1018, step S102 may include: and determining that a large proportion of high-speed driving is the reason of the over-high fuel consumption of the vehicle to be diagnosed in response to the fact that the high-speed mileage occupancy ratio of the vehicle to be diagnosed is larger than the contrast high-speed mileage occupancy ratio. The driving with a large proportion of high speed is the reason of the over-high oil consumption of the vehicle to be diagnosed, and the driver can be prompted to reasonably control the speed, so that the oil consumption of the vehicle to be diagnosed is reduced.

In some embodiments of the present disclosure, the vehicle to be diagnosed is a hybrid vehicle (specifically, may be an extended range vehicle), the parameter representing the driving load characteristic may include driving power consumption per mileage, and the corresponding diagnosis index is driving power consumption draft. The corresponding step S101 may comprise steps S1019-S1010.

S1019: and acquiring the driving power consumption and the driving mileage of the vehicle to be diagnosed when the engine runs.

S1010: and calculating the unit mileage driving power consumption based on the driving power consumption and the mileage.

In some embodiments of the present disclosure, a voltage and a current of a motor that drives the vehicle to be diagnosed to run may be acquired, and a driving power consumption amount of the vehicle to be diagnosed may be determined based on the voltage and the current. Then, the ratio of the driving power consumption to the mileage is calculated to obtain the driving power consumption per mileage. In practical application, the unit mileage driving power consumption is expressed by hundreds of kilometers of driving power consumption, and specifically, the unit mileage driving power consumption can be expressed by

Calculating to obtain the hundred kilometers driving power consumption E_{Drive the}And the driving power consumption under the driving condition of the transmitter in each driving cycle can be obtained by performing integral calculation according to the output power of the driving motor.

Corresponding to the aforementioned steps S1019 and S1010, step S102 may include: and determining that the high driving energy consumption is the reason of the high oil consumption of the vehicle to be diagnosed in response to the fact that the driving power consumption per unit mileage of the vehicle to be diagnosed is larger than the driving power consumption threshold per unit mileage.

The reason that the driving energy consumption is too high and the vehicle to be diagnosed has high oil consumption is displayed to the driver, so that the driver can be prompted to pay attention to select a reasonable driving road section, and the situation that the vehicle runs on a continuous up-down slope road section and the like is avoided.

In some embodiments of the present disclosure, the parameter characterizing the efficiency of the vehicle engine to be diagnosed includes an inefficient operating time fraction, and the corresponding diagnostic indicator is long term inefficient operation of the engine. The aforementioned inefficient operation refers to operation at a low speed, low torque condition. Correspondingly, step S101 may include steps S1021-S1022.

S1021: and acquiring the inefficient working time and the total running time when the engine runs.

S1012: an inefficient run-time duty is calculated based on the inefficient run-time and the total run-time.

Specifically, obtaining the inefficient operating time when the engine is running may be accumulating the time when the engine speed is less than the set speed and the output torque is less than the set torque, resulting in the inefficient operating time. Subsequently, a ratio of the inefficient run time to the total run time is calculated, resulting in an inefficient run time ratio. For example, if the set torque is set to a and the set rotation speed is set to b, it may be adopted

Calculating to obtain the inefficient operation time eta_{Low efficiency}。

Corresponding to the foregoing steps S1021 and S1022, step S102 may include: in response to the inefficient operation time fraction of the vehicle engine to be diagnosed being greater than the inefficient operation time fraction threshold, determining that long term inefficient operation of the engine is responsible for high fuel consumption by the vehicle to be diagnosed.

The reason that the long-term inefficient operation of the engine causes high fuel consumption of the vehicle to be diagnosed is shown to the driver, and the driver can be prompted to pay attention to avoid the long-term low-speed and low-torque operation state (such as an idling operation state) of the vehicle engine.

In still other embodiments of the present disclosure, the parameter characterizing the efficiency characteristic of the vehicle engine to be diagnosed includes a warm-up time ratio of the engine, and the corresponding diagnostic indicator is too long warm-up time. The aforementioned warm-up time is an accumulated time during which the engine coolant temperature is less than a set temperature (e.g., 72 ℃). Correspondingly, step S101 may include steps S1023-S1024.

S1023: the warm-up operation time and the total operation time of the engine are acquired.

S1024: the warm-up time ratio is calculated based on the warm-up time and the total operation time.

For example, it is possible to use

Calculating to obtain the ratio eta of the warm-up time_{Heating machine}。

Corresponding to the aforementioned steps S1023 and S1024, step S102 may include: and determining that the excessively long warming-up time is the cause of high oil consumption of the vehicle to be diagnosed in response to the fact that the warming-up time ratio of the engine of the vehicle to be diagnosed is larger than the warming-up time ratio threshold value.

The reason that the warming-up time is too long to cause high oil consumption of the vehicle to be diagnosed is displayed to the driver, the driver can be prompted to pay attention to avoid frequent starting and stopping of the engine, and then the situation that the oil consumption is too high due to frequent starting and stopping of the engine is avoided.

In some embodiments of the present disclosure, the vehicle to be diagnosed may be a vehicle to be diagnosed having an energy recovery function, and the vehicle to be diagnosed may implement energy recovery using an energy recovery device when a driver steps on a brake. In this case, the characteristic parameter acquired in step S101 further includes the recovered driving energy ratio. Accordingly, obtaining the characteristic parameters characterizing the energy consumption of the vehicle to be diagnosed when the engine is running in step S101 may include steps S1025-S1026.

S1025: and acquiring the recovered electric quantity and the driving electric consumption of the vehicle to be diagnosed when the engine runs.

S1026: and calculating the ratio of the recovered driving energy to the driving power consumption based on the recovered electric quantity and the driving power consumption.

For example, can adopt

Calculating to obtain the proportion eta of the recovered driving energy_Recovering。

Corresponding to the foregoing steps S1025-S1026, step S102 may include: and determining that the lower energy recovery rate setting is the reason for the high oil consumption of the vehicle to be diagnosed in response to the recovered driving energy ratio of the vehicle to be diagnosed being smaller than the recovered driving energy ratio threshold value.

The proportion of the recovered driving energy is displayed to a driver, the driver can be prompted to increase the energy recovery rate of the energy recovery device, and then the oil consumption of the engine is reduced by improving the energy recovery capacity.

In addition, in some embodiments of the present disclosure, the engine state of the vehicle to be diagnosed may also be detected, and when it is detected that the engine has a fault, the fault of the transmitter is used as a cause of high fuel consumption of the vehicle to be diagnosed.

Fig. 2 is a flowchart of a method for diagnosing causes of high fuel consumption of a vehicle to be diagnosed according to some other embodiments of the present disclosure. As shown in fig. 2, in some other embodiments of the present disclosure, the method for diagnosing high fuel consumption of a vehicle to be diagnosed includes steps S201 to S205.

S201: and acquiring the unit mileage oil consumption of the vehicle to be diagnosed when the engine runs, and acquiring the reference unit mileage oil consumption.

The unit mileage oil consumption is data representing the oil consumption of the vehicle to be diagnosed in unit mileage. In a specific embodiment, the oil consumption per unit mileage is mostly one hundred kilometers of oil consumption (L/100km), and the one hundred kilometers of oil consumption can be calculated according to the oil consumption of the engine and the driving mileage of the vehicle to be diagnosed when the engine runs. The oil consumption of the engine during operation can be obtained by integral operation of the oil injection quantity of the engine, and the driving mileage can be obtained by integral operation of the running speed of the vehicle to be diagnosed during operation of the engine.

In the embodiment of the present disclosure, the reference oil consumption per unit mileage can be obtained by the following method. The first method is to sort the unit mileage oil consumption of a large number of vehicles of the same model, and to use the unit mileage oil consumption at a preset sorting position as the unit process oil consumption of a reference. The second method is to calculate a mean value and a standard deviation from the unit mileage oil consumption of a large number of vehicles of the same model, and determine a reference unit mileage oil consumption based on the mean value and the standard deviation.

S202: judging whether the unit mileage oil consumption of the vehicle to be diagnosed is larger than the reference unit mileage oil consumption; if yes, go to step S203; if not, go to step S205.

S203: and acquiring characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine runs and corresponding characteristic parameter thresholds.

In the embodiment of the disclosure, the characteristic parameter representing the energy consumption characteristic of the vehicle to be diagnosed when the engine runs may include at least one of a parameter representing a non-driving load characteristic, a parameter representing a driving load characteristic, and a parameter representing an engine efficiency characteristic, and the corresponding characteristic parameter corresponds to an index of a cause of high oil consumption of the vehicle to be diagnosed.

The characteristic parameter threshold is a parameter which embodies the energy consumption characteristic of a more reasonable vehicle to be diagnosed. The characteristic parameter threshold value corresponds to the type of the characteristic parameter which represents the energy consumption characteristic of the vehicle to be diagnosed when the engine runs. For example, if the characteristic parameter characterizing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running includes a parameter characterizing the non-driving load characteristics of the vehicle to be diagnosed, the corresponding characteristic parameter threshold is also a parameter characterizing the non-driving load characteristics of the vehicle to be diagnosed

S204: and determining the diagnosis index corresponding to the characteristic parameter as a reason for causing high oil consumption of the vehicle to be diagnosed in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value meeting the preset size relationship.

S205: and judging that the fuel consumption of the vehicle to be diagnosed is at a normal level.

In the diagnosis method provided by the embodiment of the disclosure, whether the oil consumption of the vehicle to be diagnosed is too high is determined by acquiring the oil consumption per unit mileage of the vehicle to be diagnosed and the reference oil consumption per unit mileage. If the fuel consumption is too high, steps S203-S204 are executed to determine the cause of the fuel consumption. And if the oil consumption is not too high, the S203-S204 is not executed, and the oil consumption of the vehicle to be diagnosed is directly judged to be at a normal level. By adopting the method provided by the embodiment of the disclosure, only when the oil consumption of the unit mileage of the vehicle to be diagnosed is judged to be too high, the steps S203-S204 are executed to determine the reason of the high oil consumption, so that the data calculation cost can be reduced.

Fig. 3 is a schematic structural diagram of a vehicle high fuel consumption reason diagnosis device according to some embodiments of the present disclosure. The diagnosis device for the reason of high fuel consumption of the vehicle can be understood as a part of functional modules in the vehicle-side processor or the cloud server. As shown in fig. 3, the vehicle high fuel consumption reason diagnosis device 300 provided by the present disclosure includes a characteristic parameter acquisition unit 301 and a diagnosis unit 302.

The characteristic parameter obtaining unit 301 is configured to obtain a characteristic parameter representing an energy consumption characteristic of the vehicle to be diagnosed when the engine operates, and a corresponding characteristic parameter threshold, where the characteristic parameter includes at least one of a parameter representing a non-driving load characteristic, a parameter representing a driving load characteristic, and a parameter representing an engine efficiency characteristic.

The diagnosing unit 302 is configured to determine a diagnostic indicator corresponding to the characteristic parameter as a cause of high fuel consumption of the vehicle to be diagnosed in response to that the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold satisfy a preset size relationship.

In some embodiments of the present disclosure, the vehicle high fuel consumption diagnosis apparatus may further include a fuel consumption obtaining unit and a fuel consumption characteristic determination unit. The oil consumption obtaining unit is used for obtaining the oil consumption per unit mileage of the vehicle to be diagnosed when the engine runs and obtaining the oil consumption per unit mileage of the reference. The oil consumption characteristic judging unit is used for judging whether the unit mileage oil consumption of the vehicle to be diagnosed is larger than the reference unit mileage oil consumption. Correspondingly, the characteristic parameter obtaining unit 301 obtains the characteristic parameter representing the energy consumption characteristic of the vehicle to be diagnosed when the engine runs, when the oil consumption per unit mileage of the vehicle to be diagnosed is greater than the oil consumption per unit mileage referred to.

An exemplary embodiment of the present disclosure also provides a computer apparatus including: at least one processor; and a memory communicatively coupled to the at least one processor. The memory stores a computer program executable by the at least one processor, the computer program, when executed by the at least one processor, is for causing a computer device to perform a method according to an embodiment of the present disclosure.

The disclosed exemplary embodiments also provide a non-transitory computer readable storage medium storing a computer program, wherein the computer program, when executed by a processor of a computer, is for causing the computer to perform a method according to an embodiment of the present disclosure.

The exemplary embodiments of the present disclosure also provide a computer program product comprising a computer program, wherein the computer program, when being executed by a processor of a computer, is adapted to cause the computer to carry out the method according to the embodiments of the present disclosure.

Fig. 4 is a schematic structural diagram of a computer device according to some embodiments of the present disclosure, and referring to fig. 4, a structural block diagram of a computer device 400 that may be a client of the present disclosure, which is an example of a hardware device that may be applied to aspects of the present disclosure, will now be described.

Computer device 400 is intended to represent various forms of digital electronic computer devices, such as laptops, desktops, workstations, personal digital assistants, and other suitable computers. Computer device 400 may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 4, the computer apparatus 400 includes a computing unit 401 that can perform various appropriate actions and processes according to a computer program stored in a read only memory ROM402 or a computer program loaded from a storage unit 408 into a random access memory RAM 403. In the RAM403, various programs and data required for the operation of the device can also be stored. The computing unit 401, ROM402, and RAM403 are connected to each other via a bus 404. An input/output I/O interface 405 is also connected to bus 404.

A number of components in computer device 400 are connected to I/O interface 405, including: an input unit 406, an output unit 407, a storage unit 408, and a communication unit 409.

The input unit 406 may be any type of device capable of inputting information to the computer device 400, and the input unit 406 may receive input numeric or character information and generate key signal inputs related to user settings and/or function control of the computer device.

Output unit 407 may be any type of device capable of presenting information and may include, but is not limited to, a display, speakers, video/audio output terminals.

Storage unit 408 may include, but is not limited to, magnetic or optical disks.

The communication unit 409 allows the computer device 400 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers and/or chipsets, such as bluetooth (TM) devices, WiFi devices, WiMax devices, cellular communication devices, and/or the like.

Computing unit 401 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 401 executes the respective methods and processes described above. For example, in some embodiments, the vehicle fuel high cause diagnostic method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the memory unit 408.

In some embodiments, part or all of the computer program may be loaded and/or installed onto the computer device 400 via the ROM402 and/or the communication unit 409. In some embodiments, the computing unit 401 may be configured to perform the vehicle high fuel consumption cause diagnosis method by any other suitable means (e.g., by means of firmware).

Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

As used in this disclosure, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.

The foregoing are merely exemplary embodiments of the present disclosure, which enable those skilled in the art to understand or practice the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for diagnosing the cause of high fuel consumption of a vehicle is characterized by comprising the following steps:

2. The method of claim 1,

before the obtaining of the characteristic parameter characterizing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running, the method further comprises: acquiring unit mileage oil consumption of the vehicle to be diagnosed when an engine runs;

3. The method according to claim 1, characterized in that before obtaining the characteristic parameter characterizing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running, the method further comprises:

4. The method of any of claims 1-3, wherein the parameter characterizing the non-driving load comprises an accessory average power;

5. The method according to any one of claims 1-3, wherein the vehicle to be diagnosed is a hybrid vehicle, and the parameter characterizing the non-driving load characteristic includes a mileage recharge amount;

6. A method according to any of claims 1-3, wherein the parameter characterizing the driving load characteristics comprises a driving aggressiveness factor;

7. The method according to any one of claims 1-3, wherein the vehicle to be diagnosed is a hybrid vehicle, and the parameter indicative of the driving load characteristic includes a high vehicle speed mileage;

8. The method according to any one of claims 1 to 3, wherein the vehicle to be diagnosed is a hybrid vehicle, and the parameter indicative of the driving load characteristic includes a driving power consumption per unit mileage;

9. A method according to any of claims 1-3, wherein the parameters characterizing engine efficiency include an inefficient run time fraction;

acquiring inefficient working time and total running time when the engine runs;

10. A method according to any of claims 1-3, wherein the parameter characterizing engine efficiency includes warm-up time ratio;

acquiring the warm-up running time and the total running time of the engine;

11. The method according to any one of claims 1 to 3, wherein the vehicle to be diagnosed is a hybrid vehicle having an energy recovery function, and the characteristic parameter further includes a recovered driving energy ratio;

12. A vehicle high fuel consumption cause diagnosis device is characterized by comprising:

13. A computer device, comprising:

a processor; and

a memory for storing a program, wherein the program is stored in the memory,

wherein the program comprises instructions which, when executed by the processor, cause the processor to carry out the method according to any one of claims 1-11.

14. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-11.