CN118294824A - Remote electric energy metering system based on automobile charging pile - Google Patents
Remote electric energy metering system based on automobile charging pile Download PDFInfo
- Publication number
- CN118294824A CN118294824A CN202410582637.XA CN202410582637A CN118294824A CN 118294824 A CN118294824 A CN 118294824A CN 202410582637 A CN202410582637 A CN 202410582637A CN 118294824 A CN118294824 A CN 118294824A
- Authority
- CN
- China
- Prior art keywords
- module
- vehicle
- electric energy
- real
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 claims abstract description 93
- 238000000034 method Methods 0.000 claims abstract description 30
- 230000008569 process Effects 0.000 claims abstract description 30
- 238000011156 evaluation Methods 0.000 claims description 59
- 230000003993 interaction Effects 0.000 claims description 31
- 238000004891 communication Methods 0.000 claims description 25
- 238000004458 analytical method Methods 0.000 claims description 17
- 230000000694 effects Effects 0.000 claims description 15
- 238000005265 energy consumption Methods 0.000 claims description 15
- 230000032683 aging Effects 0.000 claims description 12
- 238000012937 correction Methods 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 claims description 6
- 238000001514 detection method Methods 0.000 claims description 4
- 230000006870 function Effects 0.000 claims description 4
- 238000012360 testing method Methods 0.000 abstract description 7
- 238000012545 processing Methods 0.000 description 14
- 238000005259 measurement Methods 0.000 description 12
- 230000008901 benefit Effects 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 7
- 238000004364 calculation method Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 230000007547 defect Effects 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- RVRCFVVLDHTFFA-UHFFFAOYSA-N heptasodium;tungsten;nonatriacontahydrate Chemical compound O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.[Na+].[Na+].[Na+].[Na+].[Na+].[Na+].[Na+].[W].[W].[W].[W].[W].[W].[W].[W].[W].[W].[W] RVRCFVVLDHTFFA-UHFFFAOYSA-N 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000000611 regression analysis Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000007480 spreading Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Landscapes
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention relates to the technical field of testing devices of electric performance, and provides a remote electric energy metering system based on an automobile charging pile. According to the invention, the electric energy consumed in the charging process of the new energy automobile is monitored through the metering module, so that the monitoring accuracy of the whole system is improved, and the driving experience and the comfort of the new energy automobile are improved.
Description
Technical Field
The invention relates to the technical field of testing devices of electric performance, in particular to a remote electric energy metering system based on an automobile charging pile.
Background
With the global increased interest in renewable energy and reduced carbon emissions, electric vehicles are rapidly spreading as a clean transportation means. This trend has led to a great demand for electric vehicle charging facilities, particularly public charging piles.
The remote feedback system for the automobile charging pile disclosed in the Chinese patent CN110626208B solves the problem that an automobile owner cannot timely master the charging state of an automobile when the automobile is charged, but cannot timely prompt a driver to charge according to the real-time electric energy state in the process of carrying out remote long distance, so that dangerous conditions caused by the lack of electricity of the automobile are very easy to occur.
In addition, drivers often face the problem of how to find the nearest charging station efficiently, how to know the condition of charge usage, and whether immediate charging is required. Traditional charging facilities often lack the ability to effectively interact with the driver, resulting in an inferior charging experience.
Meanwhile, the capability of accurately monitoring the residual electric quantity and the energy consumption rate of the battery to predict the residual endurance mileage is lacking in the prior art, and an available charging station is quickly found and reserved for charging so as to ensure the driving comfort of a driver.
The invention is designed for solving the problems of lack of electric energy monitoring, inaccurate metering means, incapability of providing personalized charging suggestions, low intelligent degree, lack of interaction and the like in the prior art.
Disclosure of Invention
The invention aims to provide a remote electric energy metering system based on an automobile charging pile, aiming at the defects existing at present.
In order to overcome the defects in the prior art, the invention adopts the following technical scheme:
The remote electric energy metering system comprises a server, a new energy automobile, a metering module, a communication module and a remote monitoring platform, wherein the metering module is arranged in the charging pile and is used for detecting electric energy consumption data of a vehicle charging process in real time, the remote monitoring platform is used for displaying a charging state, real-time residual electric quantity and decision results of the vehicle charging process, the communication module is used for the metering module to be in communication connection with the remote monitoring platform so as to transmit the electric energy consumption data of the metering module in real time to the vehicle charging process, and the remote monitoring platform comprises a positioning module, an electric energy monitoring module, a state evaluation module, an interaction module and a decision module, and the server is respectively connected with the metering module, the communication module, the positioning module, the electric energy monitoring module, the state evaluation module, the interaction module and the decision module;
The positioning module is used for positioning the position of the vehicle to obtain charging pile distribution data near the positioning position of the vehicle, the electric energy monitoring module is used for measuring the real-time electric quantity of the vehicle to obtain the real-time residual electric quantity of the vehicle, the state evaluation module is used for evaluating the running state of the vehicle according to the charging pile distribution data and the real-time residual electric quantity of the vehicle to form an evaluation result, the decision module is used for analyzing the vehicle according to the evaluation result and making a decision on the travel of the vehicle to form a decision result, and the interaction module is used for interactively reminding the driver of the evaluation result and the decision result.
Optionally, the electric energy monitoring module includes a voltage monitoring unit, a current detecting unit, a temperature monitoring unit and an electric quantity measuring and analyzing unit, the current detecting unit collects current data of a vehicle battery, the voltage monitoring unit collects voltage data of the vehicle battery, the temperature monitoring unit collects real-time temperature data of the vehicle battery, and the electric quantity measuring and analyzing unit analyzes the real-time residual electric quantity of the vehicle according to the current data, the voltage data and the temperature data to obtain residual electric quantity related parameters of the vehicle battery;
The electric energy monitoring module is arranged on the vehicle and is used for measuring and analyzing the real-time electric quantity of the vehicle in real time.
Optionally, the positioning module comprises a positioning unit and a data transmission unit, the positioning unit collects real-time positioning data of the vehicle, and the data transmission unit transmits the real-time positioning data collected by the positioning unit to the state evaluation module;
The positioning unit comprises a positioner and a memory, wherein the positioner is used for positioning the real-time positioning data of the vehicle, and the memory is used for storing the real-time positioning data acquired by the positioner.
Optionally, the temperature monitoring unit includes a placement seat and a temperature sensor, the placement seat is used for placing the temperature sensor, and the temperature sensor collects temperature data of the vehicle battery;
Wherein the temperature sensors are disposed at the center and corners of the vehicle battery.
Optionally, the state evaluation module acquires the distribution data of the charging piles and the real-time residual electric quantity related parameters of the vehicle, and calculates a state index battery_status of the vehicle Battery as an evaluation result according to the following formula:
Wherein, SOC is a percentage of real-time remaining power, the value of SOC is obtained by analysis of the power monitoring module, D nearest is a distance from the vehicle to the nearest charging pile, E demand is a predicted future driving requirement, F age (age) is a battery aging correction function, and the value of SOC is used to adjust performance effects caused by battery aging, and is calculated according to the following formula:
Fage(age)＝1-kage·age；
Where k age is an aging influence coefficient, the value of which is empirically set, and age is the service life of the vehicle battery.
Optionally, the decision module includes an analysis unit and a decision unit, the analysis unit analyzes the energy demand index Activity of the vehicle according to the evaluation result, and the decision unit decides the vehicle journey according to the energy demand index Activity;
The analysis unit calculates the energy demand index Activity based on the state index battery_status of the vehicle Battery according to the evaluation result obtained by the state evaluation module;
and if the energy demand index Activity exceeds a monitoring threshold SETTING set by a system, triggering the interaction module to carry out interaction reminding on the driver so as to prompt the driver to charge or automatically plan a route of a charging pile.
Optionally, the decision unit determines to trigger different decision results according to different monitoring thresholds;
And after the decision unit determines the decision result, transmitting the decision result to the interaction module.
Optionally, the interaction module includes a display and a voice broadcasting device, where the display is configured to display the decision result and the evaluation result, and the voice broadcasting device performs voice broadcasting on the decision result and the evaluation result to the driver.
Optionally, the different monitoring threshold values are determined according to a driving mode of the vehicle.
The beneficial effects obtained by the invention are as follows:
1. through the mutual coordination among the decision module, the state evaluation module and the positioning module, the state of the vehicle battery can be monitored and evaluated, and the whole system is ensured to have the advantages of accurate electric energy monitoring, reliable metering means, high intelligent degree and high interaction comfort;
2. Through the mutual coordination between the state evaluation module and the electric energy monitoring module, the real-time electric energy of the battery of the vehicle can be monitored, the safety supervision capacity of the battery is improved, and the whole system is ensured to have the advantages of accurate metering means, high intelligent degree and high safety;
3. the vehicle battery is metered and monitored through the electric energy monitoring module, so that the state of the battery can be monitored, and the whole system is guaranteed to have the advantages of strong monitoring capability and accurate metering means;
4. Through the mutual coordination among the decision module, the state evaluation module and the interaction module, the system can provide personalized charging advice, the driving comfort of a driver is improved, and the whole system is ensured to have the advantages of good interaction comfort, strong interaction capability and high intelligent degree;
5. The metering module is used for monitoring the electric energy consumed in the charging process of the new energy automobile, so that the monitoring accuracy of the whole system is improved, and the driving experience and the comfort of the new energy automobile are improved.
Drawings
The invention will be further understood from the following description taken in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. Like reference numerals designate like parts in the different views.
Fig. 1 is a schematic block diagram of the overall structure of the present invention.
FIG. 2 is a schematic diagram of the workflow of the power monitoring module and the status evaluation module of the present invention.
FIG. 3 is a schematic diagram of an evaluation flow of the status evaluation module according to the present invention.
Fig. 4 is a schematic diagram of a decision flow of the decision module according to the present invention.
Fig. 5 is a schematic view of a supervision flow of the supervision module according to the present invention.
Detailed Description
The following embodiments of the present invention are described in terms of specific examples, and those skilled in the art will appreciate the advantages and effects of the present invention from the disclosure herein. The invention is capable of other and different embodiments and its several details are capable of modification and variation in various respects, all without departing from the spirit of the present invention. The drawings of the present invention are merely schematic illustrations, and are not intended to be drawn to actual dimensions. The following embodiments will further illustrate the related art content of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
Embodiment one: according to fig. 1, fig. 2, fig. 3, fig. 4, and fig. 5, the present embodiment provides a remote electric energy metering system based on an automobile charging pile, where the remote electric energy metering system includes a server, and a new energy automobile, the remote electric energy metering system further includes a metering module, a communication module, and a remote monitoring platform, where the metering module is built in the charging pile and is used to detect electric energy consumption data in a charging process of a vehicle in real time, the remote monitoring platform is used to display a charging state, a real-time residual electric energy, and a decision result in the charging process of the vehicle, and the communication module is used to allow the metering module to be in communication connection with the remote monitoring platform so as to transmit electric energy consumption data in the charging process of the metering module to the vehicle in real time, and the remote monitoring platform includes a positioning module, an electric energy monitoring module, a state evaluation module, an interaction module, and a decision module, where the server is respectively connected with the metering module, the communication module, the positioning module, the electric energy monitoring module, the state evaluation module, the interaction module, and the decision module, and the metering module, the communication module, the positioning module, the state and the communication module and the positioning module, the positioning module and the power module;
The positioning module is used for positioning the position of the vehicle to obtain charging pile distribution data near the positioning position of the vehicle, the electric energy monitoring module is used for measuring the real-time electric quantity of the vehicle to obtain real-time residual electric quantity related parameters of the vehicle, the state evaluation module is used for evaluating the running state of the vehicle according to the charging pile distribution data and the real-time residual electric quantity related parameters of the vehicle to form an evaluation result, the decision module is used for analyzing the vehicle according to the evaluation result and making a decision on the travel of the vehicle to form a decision result, and the interaction module is used for interactively reminding the driver of the evaluation result and the decision result;
The metering module includes a high-speed analog-to-digital converter (ADC) that converts analog signals of current and voltage during charging into digital signals, a Digital Signal Processor (DSP), a microcontroller unit (MCU), a current sensor, a voltage sensor, an interface, and a power management unit. To achieve a wide dynamic range measurement, the ADC needs to have a sufficiently high resolution (e.g., 16 bits, 24 bits, or more) and a sufficiently fast sampling rate to support millisecond-level data refreshing;
the current sensor directly measures the current flowing through the battery, and the voltage sensor directly measures the current flowing through the battery and the voltage across the battery. The current sensor and the voltage sensor must be able to cover a wide dynamic range of measurement, ensuring that accurate measurements can be provided at different charging phases, the interface being for the vehicle to connect to enable the vehicle to be charged;
the digital signal processor is used for processing the digital signals converted by the ADC, performing rapid calculation to measure the electric energy consumption, and the controller unit (MCU) is respectively connected with the high-speed analog-to-digital converter (ADC), the Digital Signal Processor (DSP), the microcontroller unit (MCU), the current sensor, the voltage sensor, the interface and the power management unit and is used for carrying out centralized control on the high-speed analog-to-digital converter (ADC), the Digital Signal Processor (DSP), the microcontroller unit (MCU), the current sensor, the voltage sensor, the interface and the power management unit based on the microcontroller unit (MCU);
the power management unit is used for managing the electric energy consumption data of the vehicle connected through the interface in the charging process;
The management includes an amount of electrical energy consumption;
the power management unit adopts a wide dynamic range measurement technology and a wide dynamic range measurement technology to ensure that the electric energy consumption of the vehicle in the charging process can be calculated;
the integrated electric energy accurate measurement in the whole charging process is realized through a wide dynamic range measurement technology and a wide dynamic range measurement technology, and compared with the steady state measurement of a traditional preset detection point (the traditional electronic or resistance load is not used any more, and the electric vehicle is directly used as an actual load), the charging performance is reflected more truly;
Specifically, the power management unit performs calculation according to the following steps:
S21, signal acquisition
Voltage and current signals are collected using a wide dynamic range analog-to-digital converter (ADC), which can accurately measure signal strengths from very low to very high without switching ranges;
Wherein,
Wherein V input and I input are the actual voltage and current inputs and V measured and I measured are the voltage and current values measured by the ADC;
S22, signal processing
Digital Signal Processing (DSP) is carried out on the collected voltage and current signals so as to improve measurement accuracy, including filtering, linearization processing and the like; the processed voltage and current data are used for subsequent electric energy calculation;
S23, high-speed data update
The measured values of voltage and current are continuously updated with high-speed data processing capabilities to achieve millisecond-level data refreshing. This step ensures the real-time nature of the energy metering, enabling accurate capture of instantaneous changes during charging.
S24, electric energy calculation
Calculating the product of the voltage and the current in real time to obtain instantaneous power, and further accumulating and calculating to obtain consumed electric energy E;
Calculating the power consumption data E according to the following formula:
Where V n and I n are measured values of voltage and current, respectively, at the nth time period (i.e., the voltage and current values measured by the ADC), Δt is the length of each time period, the specific length is set by the system, and N is the total number of time periods throughout the charging cycle;
The total number of time periods in the whole charging period is set by the system; if a fine electrical power accuracy is required, a greater number is required;
After the power management unit calculates consumed electric energy consumption data E, the data are transmitted to the remote monitoring platform through the communication module;
the metering module, the communication module, the remote monitoring platform and the vehicles form a closed loop, so that an association relationship can be established between the vehicles in a charging process and a power consumption process, and the driving experience and the comfort of the new energy automobile are improved;
In this embodiment, the communication module adopts a common means, such as a CAN bus, ethernet or wireless communication device, which are well known to those skilled in the art, so in this embodiment, a detailed description is omitted;
The remote electric energy metering system further comprises a central processor, wherein the central processor is respectively in control connection with the positioning module, the electric energy monitoring module, the state evaluation module, the interaction module and the decision module, and is used for carrying out centralized control on the positioning module, the electric energy monitoring module, the state evaluation module, the interaction module and the decision module based on the central processor, storing control data in a database of the server, and improving the accurate control capability of the whole system on the vehicle battery;
The electric energy monitoring module comprises a voltage monitoring unit, a current detecting unit, a temperature monitoring unit and an electric quantity metering and analyzing unit, wherein the current detecting unit is used for collecting current data of the vehicle battery, the voltage monitoring unit is used for collecting voltage data of the vehicle battery, the temperature monitoring unit is used for collecting real-time temperature data of the vehicle battery, and the electric quantity metering and analyzing unit is used for analyzing the real-time residual electric quantity of the vehicle according to the current data, the voltage data and the temperature data so as to obtain relevant parameters of the residual electric quantity of the vehicle battery; the residual electric quantity related parameters comprise a real-time residual electric quantity percentage SOC;
The electric energy monitoring module is arranged on the vehicle and is used for measuring and analyzing the real-time electric quantity of the vehicle in real time;
optionally, the temperature monitoring unit includes a placement seat and a temperature sensor, the placement seat is used for placing the temperature sensor, and the temperature sensor collects temperature data of the vehicle battery;
wherein the temperature sensors are arranged at the middle and corners of the vehicle battery;
The voltage monitoring unit comprises a voltage sensor and an alpha analog-to-digital converter, wherein the voltage sensor collects voltage data of the battery, and the alpha analog-to-digital converter converts the voltage data collected by the voltage sensor to obtain battery voltage in a digital signal state;
The current detection unit comprises a current sensor and a beta analog-to-digital converter, wherein the current sensor acquires current data of the battery, and the beta analog-to-digital converter converts the current data acquired by the current sensor to obtain battery discharge current in a digital signal state;
optionally, the electric quantity measurement analysis unit calculates the real-time remaining electric quantity percentage SOC of the vehicle according to the following formula:
Wherein, V is the current battery voltage, the values of which are acquired by a voltage monitoring unit, V min and V max are the voltage values when the battery is completely discharged and completely charged respectively, I is the current battery discharge current, the values of which are acquired by a current detecting unit, I max is the historical maximum discharge current of the battery, and T factor (T) is a temperature correction factor (see below);
Optionally, the positioning module comprises a positioning unit and a data transmission unit, the positioning unit collects real-time positioning data of the vehicle, and the data transmission unit transmits the real-time positioning data collected by the positioning unit to the state evaluation module;
The positioning unit comprises a positioner and a memory, wherein the positioner is used for positioning the real-time positioning data of the vehicle, and the memory is used for storing the real-time positioning data acquired by the positioner;
optionally, the state evaluation module obtains the charging pile distribution data and the real-time residual electric quantity related parameters of the vehicle, and calculates a state index battery_status of the vehicle Battery according to the following formula:
in the scheme, the SOC is a real-time residual electric quantity percentage, the value of the SOC is obtained by analysis of an electric energy monitoring module, D nearest is the distance from the vehicle to the nearest charging pile, and the distances in the scheme are all the distances generated on a planned route from the vehicle to a destination, namely the charging pile is the nearest charging pile from the current position to the vehicle on the planned route from the current position to the destination; when no charging pile exists on the planned route, the charging pile is preferably a charging pile which generates the shortest driving distance outside the planned route, so that the unnecessary driving distance of the vehicle is reduced to the greatest possibility; e demand is the predicted future travel demand, F age (age) is a battery aging correction function whose value is used to adjust the performance impact due to battery aging, calculated according to the following equation:
Fage(age)＝1-kage·age；
Wherein k age is an aging influence coefficient, the value of which is empirically set, and age is the service life of the vehicle battery, namely the service life of the vehicle battery is calculated by half a year less than half a year and calculated by one year more than half a year less than one year;
Optionally, the predicted future travel demand E demand is calculated according to the following equation:
where Dis is the expected distance travelled, its value is determined by the distance value of the navigation system (i.e. the distance value of the current location from the destination), C rate is the energy consumption of the vehicle in: kWh/100km;
the distance D nearest from the vehicle to the nearest charging pile is calculated according to the following formula:
Where r is the average radius of the earth, about 6371 km; phi 1、φ2 is the latitude in radians of the vehicle and the charging station, respectively, lambda 1,λ2 is the longitude in radians of the vehicle and the charging station; the longitude and latitude of the vehicle can be directly determined according to the positioning data of the positioning module, and meanwhile, the charging pile of the charging station calls the longitude and latitude of the charging pile adjacent to the real-time position of the vehicle to be directly obtained;
The electric energy monitoring module is used for measuring and monitoring the vehicle battery, so that the state of the battery can be monitored, and the whole system is guaranteed to have the advantages of strong monitoring capability and accurate measuring means;
For the aging influence coefficient k age, the following steps are used to determine:
S1, data collection
Firstly, collecting performance data of a battery in a service period, including but not limited to parameters such as cycle times, charge and discharge capacity, internal resistance and the like;
S2, performance parameter selection
Selecting one or more representative performance parameters as an ageing index, wherein the capacity of the battery is used as the ageing index in the embodiment;
s3, using the collected data to establish a mathematical model of the decay of the battery performance parameter along with the use time or the cycle times, wherein the model is in the following form:
Capacity(t)＝Capacity0-kage·t；
Wherein, capability (t) is the battery Capacity at time t, capability 0 is the initial Capacity, k age is the aging influence coefficient, the attenuation rate of the Capacity with time is reflected, and t is the time or the cycle number;
S4, parameter estimation
Estimating k age in the model from experimental or actual usage data by regression analysis or other statistical methods; this requires enough data points to ensure the accuracy and reliability of the statistics;
S5, verifying and adjusting
Using one part of the data to estimate k age, and the other part of the data to verify, and according to the verification result, adjusting the model or re-evaluating k age;
for example: through long-term cycle test, the capacity of a battery is reduced from 100% to 80% after 1000 cycles, and the capacity attenuation and the cycle number can be calculated (the linear relation is formed by the capacity attenuation and the cycle number):
This means that the battery capacity decays by approximately 0.02% for each cycle, then k age =0.02%;
Through the mutual coordination between the state evaluation module and the electric energy monitoring module, the real-time electric energy of the battery of the vehicle can be monitored, the safety supervision capacity of the battery is improved, and the whole system is ensured to have the advantages of accurate metering means, high intelligent degree and high safety;
optionally, the decision module includes an analysis unit and a decision unit, the analysis unit analyzes the energy demand index Activity of the vehicle according to the evaluation result, and the decision unit decides the vehicle journey according to the energy demand index Activity;
the analysis unit acquires the state index battery_status of the vehicle Battery, which is evaluated by the state evaluation module, and calculates the energy demand index Activity according to the following formula:
Wherein, max_demand refers to the maximum battery capacity percentage in the full battery state, which can be obtained by inquiry, namely, the maximum value in the current full battery state, SOC is the real-time residual capacity percentage, epsilon is the bias constant, the value is determined by the manager or the driver, and meanwhile, the bias constant is satisfied to be not 0 and is small enough to ensure that it does not introduce significant error or deviation in calculation; in most cases, the value of e may be set between 10 -2 and 10 -6, the specific value being determined depending on the accuracy requirements of the calculation and the range of the Battery state index, battery_status being the state index of the vehicle Battery, dis being the distance travelled by the current location from the destination, the value being determined by the distance value of the navigation system, T factor (T) being a temperature correction factor, the value being calculated according to the following equation:
Wherein Performance (T) is the discharge capacity of the battery at temperature T, the value of which is directly obtained from experimental test results of the battery at different temperatures (i.e., experimental data according to the correlation map between Performance (T) and temperature T), performance (25 ℃) is the discharge capacity at 25 ℃ (standard temperature), which corresponds to a known fixed value;
Assuming that experimental data indicate that the discharge capacity of the battery at 0 ℃ is 80% of that at 25 ℃, the temperature correction factor at 0 ℃ can be expressed as:
This means that at 0 ℃, the cell performance drops to 80% of the standard performance;
In summary, determining the temperature correction factor T factor (T) is a process based on experimental data and battery performance analysis;
If the energy demand index Activity exceeds a monitoring threshold SETTING set by a system, triggering the interaction module to carry out interaction reminding on the driver so as to prompt the driver to charge or automatically plan a route of a charging pile;
If the energy demand index Activity does not exceed the monitoring threshold SETTING set by the system, the battery can be further led to a final destination;
The monitoring threshold SETTING set by the system is set by the system or the manager according to the actual situation, which is a technical means well known to those skilled in the art, and those skilled in the art can query the related technical manual to obtain the technology, so that the description is omitted in this embodiment;
Optionally, the decision unit determines the trigger decision result according to the following formula:
Wherein A high is an emergency monitoring threshold, A mid is a general monitoring threshold, and A low is a conventional monitoring threshold; specifically, where a high is the maximum threshold, representing the most urgent charge demand, a mid is the medium threshold, representing the charge recommendation but not the emergency; a low is the minimum threshold, indicating that the battery is beginning to need to be charged, but the situation is least urgent. In this embodiment, the relationship among the monitoring threshold set by the system, the emergency monitoring threshold a high, the general monitoring threshold a mid, and the normal monitoring threshold a low exists:
Ahigh>Amid>Alow>SETTING；
after the decision unit determines the decision result, transmitting the decision result to the interaction module;
Optionally, the emergency monitoring threshold a high, the general monitoring threshold a mid and the regular monitoring threshold a low are determined according to the running mode of the vehicle;
In this example, there are provided several common driving modes corresponding to the emergency monitor threshold a high, the general monitor threshold a mid, and the normal monitor threshold a low:
1) Urban driving mode
In urban driving mode, the energy consumption mode of the vehicle is relatively gentle due to frequent stops and low average speeds, but the overall mileage is reduced due to traffic congestion;
Ahigh＝25；
Amid＝15；
Alow＝10；
2) Highway mode
In the expressway driving mode, the vehicle usually runs at a higher speed, the energy consumption is faster, and the charging stations are relatively sparsely distributed;
Ahigh＝30；
Amid＝20；
Alow＝15；
3) Long distance driving mode
The long-distance driving mode considers that continuous driving is required for a plurality of hours, and the requirements on electric quantity are more strict across different geographies and climate conditions;
Ahigh＝40；
Amid＝25；
Alow＝20；
4) Economy mode
The driving distance after each charging is prolonged as much as possible, and the safety margin is ensured;
Ahigh＝35；
Amid＝25；
Alow＝18；
Through the cooperation between decision module and state evaluation module, the orientation module for the state of vehicle battery can be monitored and aassessment, guarantees that whole system has that electric energy control is accurate, the measurement means is reliable, intelligent degree is high and interactive travelling comfort is high advantage.
Optionally, the interaction module includes a display and a voice broadcasting device, where the display is configured to display the decision result and the evaluation result, and the voice broadcasting device performs voice broadcasting on the decision result and the evaluation result to the driver;
Through the decision module, the state evaluation module and the interaction module are mutually matched, the system can provide personalized charging suggestions, the driving comfort of a driver is improved, and the whole system is guaranteed to have the advantages of being good in interaction comfort, strong in interaction capability and high in intelligent degree.
Embodiment two: the present embodiment should be understood to include all the features of any one of the foregoing embodiments, and further improve the foregoing embodiments on the basis of the features, as shown in fig. 1,2, 3, 4, and 5, and further include a supervision module, where the supervision module monitors a charging process of the vehicle according to the current state and historical data of the battery, so as to adjust a charging rate and a charging time of the vehicle, thereby achieving the purposes of prolonging a service life of the battery and improving energy efficiency;
The monitoring module comprises a charging monitoring unit and a charging evaluation unit, wherein the charging evaluation unit evaluates the charging rate of the battery according to the state of the battery and determines the triggering condition of the battery, and the charging monitoring unit monitors the charging of the battery of the automobile according to the triggering condition;
the state includes a temperature and a voltage of the battery;
The charge evaluation unit acquires state data of the battery and calculates a charge evaluation index Chage of the battery according to the following formula:
Wherein V denotes a current voltage of the battery, V target denotes an ideal safe charging voltage threshold of the battery, T denotes a current temperature of the battery, T opt denotes an optimal temperature for charging the battery, σ V denotes a voltage adjustment parameter for controlling an influence amplitude of a voltage difference on the evaluation index, σ T denotes a temperature adjustment parameter for controlling an influence amplitude of a temperature difference on the evaluation index, and F (SOC) is a charging demand function, a value of which is determined according to the following formula:
F(SOC)＝1-SOC；
In the formula, SOC is the percentage of the real-time residual electric quantity;
Wherein SOC ranges from a value of 0 to 1 (or from 0% to 100%), where 0 (0%) indicates that the battery is fully discharged and 1 (or 100%) indicates that the battery is fully charged;
in this embodiment, the voltage adjustment parameter σ V is calculated according to the following equation:
Where V max and V min are the maximum and minimum voltage values, respectively, at which the charging performance observed in the test data starts to significantly decrease;
The temperature adjustment parameter sigma T is calculated according to the following formula:
where T max and T min are the highest and lowest temperature values at which the charging performance observed in the test data begins to decrease significantly;
Wherein, three standard deviation principles of normal distribution: in a normal distribution, about 68% of the observations lie within ±1σ of the mean, about 95% lie within ±2σ, and about 99.7% lie within ±3σ; thus, ±3σ covers almost all possible observations;
From V min to V max (or T max and T min) cover 6 standard deviations: the range of V min to V max corresponds approximately to the normally distributed-3 to +3σ, for a total of 6 standard deviations of width, and therefore the width of this range is divided by 6;
The charging analysis unit acquires the calculated charging evaluation index, the real-time residual capacity percentage SOC and the temperature data of the battery, and if the triggering condition of the following formula is met, the charging supervision unit is triggered to conduct charging supervision on the charging process of the battery:
(Chage≥Range)∧(SOC＜Threshold)∧(Tmin≤T≤Tmax)；
Wherein Range is a supervision Threshold set by the system, threshold is a residual electric quantity safety Threshold set by the system, and T max and T min are the highest and lowest temperature values when the charging performance observed in the test data starts to be remarkably reduced;
The specific values of the supervision Threshold Range set by the system and the residual electric quantity safety Threshold set by the system are set by the system or a manager/driver according to actual conditions, which are technical means well known to those skilled in the art, and those skilled in the art can inquire about related technical manuals to obtain the technology, so that the details are not repeated in the embodiment;
The charging supervision unit comprises an AC-DC converter, a communication interface, a current sensor, a voltage sensor and a relay, wherein the AC-DC converter is used for converting Alternating Current (AC) into Direct Current (DC) so as to charge a battery of the new energy automobile, the communication interface allows data exchange between the charging unit and BMS (battery management system of the vehicle) and the current sensor is used for monitoring current in the charging process in real time, the voltage sensor is used for monitoring voltage in the charging process in real time, and the relay is used for controlling the flow direction and disconnection of the current so as to ensure that the charging process can be started or stopped when required;
The specific process of the charging unit comprises the following steps:
S11, initialization and communication phase
Starting a communication interface, and establishing communication connection between the charging unit and the BMS of the new energy automobile; at this stage, the charging unit acquires current state information of the battery, such as SOC (state-of-charge), battery temperature and voltage, and the like;
The BMS sends charging requirements and parameters including suggested charging current and voltage to the central processing unit through the communication interface according to the current state and historical data of the battery;
s12, charging preparation stage
After receiving the charging requirement of the BMS, the central processing unit prepares charging parameters and controls the AC-DC converter to prepare for starting charging; setting initial values of charging current and voltage, and ensuring that the initial values meet the requirements of the BMS and the safety charging standard of the battery;
the relay or the solid-state switch is closed under the command of the central processing unit, and circuit connection is provided for the charging process;
S13, charge execution stage
The AC-DC converter converts an AC power supply from a power grid into a DC power supply suitable for battery charging according to parameters set by the central processing unit; the output current and voltage of the converter are precisely controlled to meet the requirements of the charging process;
the current and voltage sensors monitor the current and voltage in the charging process in real time, so that the current and voltage do not exceed the safety range; the data of the current and voltage sensors are fed back to the central processor and the BMS;
S14, charging monitoring and adjusting stage
The central processing unit and the BMS monitor the charging process in real time according to the data received from the current and voltage sensors; if the temperature of the battery is detected to be too high, the current or the voltage exceeds a preset range, the central processing unit adjusts the charging parameters (such as reducing the charging current) or interrupts charging to protect the battery when necessary;
the BMS can dynamically update charging parameters according to the real-time state and the charging progress of the battery, and send the charging parameters to the central processing unit through the communication interface so as to optimize the charging process and improve the service life of the battery;
S15, charge completion stage
When the battery is close to full charge or reaches a charging end condition set by the BMS, the BMS instructs the central processing unit to end charging;
the central processing unit commands the relay or the solid-state switch to be disconnected, stops charging, and ensures that the charging unit is safely switched into a standby state;
The monitoring module is used for monitoring the charging process of the battery, so that the safety and reliability of battery charging are effectively improved, and the whole system is guaranteed to have the advantages of accurate electric energy monitoring, high intelligent degree and high charging safety.
The foregoing disclosure is only a preferred embodiment of the present invention and is not intended to limit the scope of the invention, so that all equivalent technical changes made by applying the description of the present invention and the accompanying drawings are included in the scope of the present invention, and in addition, elements in the present invention can be updated as the technology develops.
Claims (9)
1. The remote electric energy metering system based on the automobile charging pile comprises a server, the charging pile and a new energy automobile, and is characterized by further comprising a metering module, a communication module and a remote monitoring platform, wherein the metering module is arranged in the charging pile and is used for detecting electric energy consumption data of the new energy automobile in a charging process in real time; the remote monitoring platform is used for displaying the charging state, the real-time residual electric quantity and the decision result of the charging process of the vehicle, and the communication module is used for the communication connection between the metering module and the remote monitoring platform so as to transmit the electric energy consumption data of the metering module in real time in the charging process of the vehicle; the remote monitoring platform comprises a positioning module, an electric energy monitoring module, a state evaluation module, an interaction module and a decision module, wherein the server is respectively connected with the metering module, the communication module, the positioning module, the electric energy monitoring module, the state evaluation module, the interaction module and the decision module;
The vehicle positioning module is used for positioning the position of the vehicle to obtain charging pile distribution data near the positioning position of the vehicle, the electric energy monitoring module is used for measuring the real-time electric quantity of the vehicle to obtain real-time residual electric quantity related parameters of the vehicle, the state evaluation module is used for evaluating the running state of the vehicle according to the charging pile distribution data and the real-time residual electric quantity related parameters of the vehicle to form an evaluation result, the decision module is used for analyzing the vehicle according to the evaluation result and making a decision on the travel of the vehicle to form a decision result, and the interaction module is used for interactively reminding the driver of the evaluation result and the decision result.
2. The remote electric energy metering system based on the automobile charging pile according to claim 1, wherein the electric energy monitoring module comprises a voltage monitoring unit, a current detection unit, a temperature monitoring unit and an electric energy metering analysis unit, the current detection unit collects current data of a vehicle battery, the voltage monitoring unit collects voltage data of the vehicle battery, the temperature monitoring unit collects real-time temperature data of the vehicle battery, and the electric energy metering analysis unit analyzes real-time residual electric energy of a vehicle according to the current data, the voltage data and the temperature data to obtain residual electric energy related parameters of the vehicle battery;
The electric energy monitoring module measures and analyzes the real-time electric quantity of the vehicle in real time.
3. The remote electric energy metering system based on the automobile charging pile according to claim 2, wherein the positioning module comprises a positioning unit and a data transmission unit, the positioning unit collects real-time positioning data of the automobile, and the data transmission unit transmits the real-time positioning data collected by the positioning unit to the state evaluation module;
the positioning unit comprises a positioner and a memory, wherein the positioner is used for positioning real-time positioning data of the vehicle, and the memory is used for storing the real-time positioning data acquired by the positioner.
4. The remote electric energy metering system based on automobile charging piles according to claim 3, wherein the temperature monitoring unit comprises a placing seat and a temperature sensor, the placing seat is used for placing the temperature sensor, and the temperature sensor is used for collecting temperature data of a vehicle battery;
Wherein the temperature sensors are disposed at the center and corners of the vehicle battery.
5. The remote electric energy metering system based on the car charging pile according to claim 4, wherein the state evaluation module obtains the charging pile distribution data and the real-time remaining electric quantity related parameters of the vehicle, and calculates a state index battery_status of the vehicle Battery as an evaluation result according to the following formula:
Wherein, SOC is the percentage of the real-time residual electric quantity, the value is obtained according to the analysis of the electric energy monitoring module, D nearest is the distance from the vehicle to the nearest charging pile, E demand is the predicted future driving requirement, F age (age) is a battery aging correction function, and the value is calculated according to the following formula: f age(age)＝1-kage. Age;
where k age is an aging influence coefficient, the value of which is empirically set, and age is the service life of the vehicle battery.
6. The remote electric energy metering system based on the automobile charging pile according to claim 5, wherein the decision module comprises an analysis unit and a decision unit, the analysis unit analyzes the energy demand index Activity of the vehicle according to the evaluation result, and the decision unit decides the travel of the vehicle according to the energy demand index Activity;
The analysis unit calculates an energy demand index Activity based on the evaluation result obtained by the evaluation of the state evaluation module;
And if the energy demand index Activity exceeds a monitoring threshold SETTING set by a system, triggering the interaction module to carry out interaction reminding on the driver so as to prompt the driver to charge or automatically plan a route to a charging pile.
7. The remote electric energy metering system based on car charging piles according to claim 6, wherein the decision unit determines to trigger different decision results according to different monitoring thresholds; and after the decision unit determines the decision result, transmitting the decision result to the interaction module.
8. The remote power metering system based on the automobile charging pile according to claim 7, wherein the interaction module comprises a display and a voice broadcasting device, the display is used for displaying the decision result and the evaluation result, and the voice broadcasting device is used for broadcasting the decision result and the evaluation result to the driver in a voice mode.
9. The remote electric energy metering system based on automotive charging piles according to claim 8, wherein the different monitoring threshold values are determined according to a driving mode of the vehicle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410582637.XA CN118294824A (en) | 2024-05-11 | 2024-05-11 | Remote electric energy metering system based on automobile charging pile |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410582637.XA CN118294824A (en) | 2024-05-11 | 2024-05-11 | Remote electric energy metering system based on automobile charging pile |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN118294824A true CN118294824A (en) | 2024-07-05 |
Family
ID=91674547
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410582637.XA Pending CN118294824A (en) | 2024-05-11 | 2024-05-11 | Remote electric energy metering system based on automobile charging pile |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118294824A (en) |
-
2024
- 2024-05-11 CN CN202410582637.XA patent/CN118294824A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP7182476B2 (en) | Remaining life diagnostic method and remaining life diagnostic system for secondary battery module | |
| US10703219B2 (en) | Vehicle battery charge setpoint control | |
| US7928735B2 (en) | Battery performance monitor | |
| WO2019184846A1 (en) | Electric vehicle and driving mileage calculation method and device therefor | |
| US9272635B2 (en) | Power storage system and method of calculating full charge capacity | |
| JP5158183B2 (en) | Vehicle required power prediction device | |
| US20140088896A1 (en) | Device and method for detecting state of health of batteries | |
| US20120109556A1 (en) | Band select state of charge weighted scaling method | |
| CN103620907A (en) | Charge/discharge assist device | |
| KR20090016678A (en) | Stat-of-charge prediction program, wireless transportation system, and charging method | |
| US10793018B2 (en) | Server, vehicle, and method for providing charging information | |
| US20230307925A1 (en) | Management device, power supply system, electrically driven moving body, and management method | |
| JP5327207B2 (en) | Charging system | |
| CN214122351U (en) | Fill electric pile detection device and system | |
| TWI398658B (en) | An instant calculation method for battery pack information for electric vehicle and electric vehicle using the method | |
| JP5806459B2 (en) | Storage battery control system for railway vehicles | |
| CN118294824A (en) | Remote electric energy metering system based on automobile charging pile | |
| JP4190766B2 (en) | Method and apparatus for estimating remaining capacity of storage battery mounted on vehicle | |
| JPH11109004A (en) | Residual capacity meter for battery and method for measuring residual capacity of a plurality of batteries | |
| US20230286415A1 (en) | Computing system, battery deterioration predicting method, and battery deterioration predicting program | |
| JP5327206B2 (en) | Power information processing device | |
| JP2791751B2 (en) | Remaining capacity meter and method for evaluating remaining capacity of lead-acid battery for electric vehicle | |
| CN115912535B (en) | Power supply and distribution control system for liquid cooling charging device | |
| CN109668571B (en) | Pure electric garbage truck path planning method based on electric quantity prediction and intelligent energy management | |
| JP2894045B2 (en) | Electric car |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |