CN102520366A - Electric car cell safety and health assessment system and method thereof - Google Patents
Electric car cell safety and health assessment system and method thereof Download PDFInfo
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Abstract
The invention discloses an electric car cell safety and health assessment system and a method thereof. The system comprises a charging control module, a driving cell lossless rapid test module, a driving cell safety assessment module, a driving cell health state assessment module, a driving cell residual electric quantity assessment module, a driving cell information storage module and a cell information display module. According to the system and the method of the invention, through a lossless cell rapid detection method, a driving cell is subjected to a rapid charge and discharge test, simultaneously, corresponding current, voltage and cell temperature information of the driving cell are acquired, response data of the driving cell to the charge and discharge test is inputted to a related algorithm model, thus dynamic performance of the driving cell is analyzed, and corresponding safety state information, health state information and residual electric quantity assessment information are obtained. The system can be arranged at sites of a charging station and the like, operation is simple, accuracy is high, and a response speed is fast.
Description
Technical field
The present invention relates to a kind of battery evaluating system and method thereof, relate in particular to a kind of safety and health evaluation system and method thereof that is used for the battery of electric motor car.
Background technology
In recent years, along with rechargeable battery technology is fast-developing, and the attention degree that various countries pollute harmful gas and carbon emission constantly increases, and electric motor car has progressed into people's the visual field, and becomes automobile industry development in future direction.Wherein, electric motor car includes pure electric vehicle (EV), hybrid-power electric vehicle (HEV) and plug-in hybrid electric vehicle (PHEV).
No matter be the electric motor car of which kind of type, battery is the primary key of its development.The battery that is applied to electric motor car should satisfy this four big requirement that cost is low, capacity is big, the life-span is long and security is good.Yet because present electrochemical energy storage technology is still immature, the unexpected pyrophoricity accident that the battery of being produced is accidental and the quality of production are uneven to cause the development of electric motor car to be stagnated to some extent.Therefore, a lot of at present research and development concentrate on the aspect of the stability of material and the fabrication reliability of battery.Detection assessment for battery also is confined to battery dump energy and battery these aspects in serviceable life mostly, and does not relate to for the safety and the healthy aspect of battery.
Summary of the invention
Because the above-mentioned defective of prior art; Technical matters to be solved by this invention provides a kind of battery of electric vehicle safety and health evaluation system and method thereof; It can carry out real-time assessment and demonstration to the security and the health degree of battery of electric vehicle; With the very first time current state of electrolytic cell, guarantee the use of its safety and Health.
For realizing above-mentioned purpose, the invention provides a kind of battery of electric vehicle safety and health evaluation system, it comprises:
Charge control module, thus its with drive battery module and be connected the driving battery is discharged and recharged operation, obtain the battery information of said driving battery;
Drive the harmless quick test module of battery, it is sent to said charge control module with predefined charge/discharge setting value sequence, and from said charge control module, obtains the battery information of said driving battery;
Drive the cell safety evaluation module, it produces the safety state information of said driving battery;
Drive the cell health state evaluation module, it produces the health status information of said driving battery;
The assessment of driving battery dump energy, it produces the dump energy appreciation information of said driving battery;
Drive the battery information memory module, it stores battery information, safety state information, health status information and the dump energy appreciation information of said driving battery;
And the battery information display module, it shows battery information, safety state information, health status information and the dump energy appreciation information of said driving battery;
Wherein, Said charge control module, the harmless quick test module of electric motor car driving battery, driving cell safety evaluation module, driving cell health state evaluation module, the assessment of driving battery dump energy, driving battery information memory module are connected with the battery information display module successively, and said display module is connected with said charge control module.
Above-mentioned battery of electric vehicle safety and health evaluation system, wherein, the battery information of said driving battery comprises voltage, electric current, the battery temperature that drives battery.
Above-mentioned battery of electric vehicle safety and health evaluation system, wherein, said battery information display module is arranged on smart mobile phone or the panel computer.
In addition, the present invention also provides a kind of battery of electric vehicle safety and health evaluating method, and it may further comprise the steps:
Discharge and recharge operation to driving battery, gather the battery information of said driving battery simultaneously;
Assess the safe condition of said driving battery, obtain the safety state information of said driving battery;
Assess the health status of said driving battery, obtain the health status information of said driving battery;
Assess the dump energy assessment of said driving battery, obtain the dump energy appreciation information of said driving battery;
Store battery information, safety state information, health status information and the dump energy appreciation information of said driving battery;
The battery information, safety state information, health status information and the dump energy appreciation information that show said driving battery.
Above-mentioned battery of electric vehicle safety and health evaluating method, wherein, the battery information of said driving battery comprises voltage, electric current, the battery temperature that drives battery.
Above-mentioned battery of electric vehicle safety and health evaluating method wherein, discharge and recharge operation according to predefined charge/discharge setting value sequence to said driving battery.
Above-mentioned battery of electric vehicle safety and health evaluating method, wherein, the safe condition of assessing said driving battery adopts following mode: CV
Saf=R [f (I), g (V), h (T)], wherein, CV
SafExpression confidence in security value, I is for driving the current value of battery, and V is for driving the magnitude of voltage of battery; T is for driving the temperature of battery, the current characteristic that f (I) calculates through special algorithm for current value, the current characteristic that g (V) calculates through special algorithm for magnitude of voltage; The temperature profile that h (T) calculates through special algorithm for the battery temperature value; R [f (I), g (V), h (T)] is that current characteristic, voltage characteristic and temperature profile calculate the safety assessment confidence value through special algorithm; Wherein, the special algorithm that is used to calculate said current characteristic, voltage characteristic and temperature profile is: with the wavelet packet algorithm to adopt the time series of current value, magnitude of voltage and temperature value decompose and calculate the wavelet decomposition tree and go up energy, local peak-to-peak value, local maximum, local minimum, crest factor, the degree of bias of each branch; Algorithm based on said current characteristic, voltage characteristic and temperature profile computationally secure assessment confidence value comprises: Artificial Neural Network, self-organization mapping method and regression algorithm; Current characteristic, voltage characteristic and the temperature profile DUAL PROBLEMS OF VECTOR MAPPING of said description battery status are arrived unified safe probability space; And show 0 to 1 safe probable value to the user, wherein: on behalf of battery, 0 lost efficacy and extreme dangerous; 1 represents battery operation in good condition and do not have potential safety hazard fully; Value between 0 to 1 is then represented the cell safety state between the two kinds of extremities in front.
Above-mentioned battery of electric vehicle safety and health evaluating method, wherein, the health status of assessing said driving battery adopts following mode: CV
Health=U [f (I), g (V), h (T)], wherein, CV
HealthRepresent healthy confidence value; I is for driving the current value of battery; V is for driving the magnitude of voltage of battery; T is for driving the temperature of battery, the current characteristic that f (I) calculates through special algorithm for current value, the current characteristic that g (V) calculates through special algorithm for magnitude of voltage; The temperature profile that h (T) calculates through special algorithm for the battery temperature value; U [f (I), g (V), h (T)] is that current characteristic, voltage characteristic and temperature profile calculate health status assessment confidence value through special algorithm; Wherein, the special algorithm that is used to calculate said current characteristic, voltage characteristic and temperature profile is: with the wavelet packet algorithm to adopt the time series of current value, magnitude of voltage and temperature value decompose and calculate the wavelet decomposition tree and go up energy, local peak-to-peak value, local maximum, local minimum, crest factor, the degree of bias of each branch; The algorithm that calculates health status assessment confidence value based on said current characteristic, voltage characteristic and temperature profile comprises: Artificial Neural Network, self-organization mapping method and regression algorithm; Current characteristic, voltage characteristic and the temperature profile DUAL PROBLEMS OF VECTOR MAPPING of said description battery status are arrived unified safe probability space; And show 0 to 1 safe probable value to the user, wherein: on behalf of battery, 0 lost efficacy and extreme dangerous; 1 represents battery operation in good condition and do not have potential safety hazard fully; Value between 0 to 1 is then represented the cell safety state between the two kinds of extremities in front.Above-mentioned battery of electric vehicle safety and health evaluating method wherein, are assessed the dump energy assessment of said driving battery and are adopted following mode: SOC=C [f (I); G (V), h (T)], wherein; SOC is for driving the residual electric quantity of battery; I is for driving the current value of battery, and V is for driving the magnitude of voltage of battery, and T is for driving the temperature of battery; The current characteristic that f (I) calculates through special algorithm for current value; The current characteristic that g (V) calculates through special algorithm for magnitude of voltage, the temperature profile that h (T) calculates through special algorithm for the battery temperature value, C [f (I); G (V); H (T)] for current characteristic, voltage characteristic and temperature profile calculate the dump energy assessed value through special algorithm, wherein, the special algorithm that is used to calculate said current characteristic, voltage characteristic and temperature profile is: with the wavelet packet algorithm to adopt the time series of current value, magnitude of voltage and temperature value decompose and calculate energy, local peak-to-peak value, local maximum, local minimum, crest factor, the degree of bias that wavelet decomposition is set each branch; The algorithm that calculates the dump energy assessed value based on said current characteristic, voltage characteristic and temperature profile is: through the vectorial model with dump energy of current characteristic, voltage characteristic and the temperature profile of said battery is come the estimated remaining electric weight, the model of assessment dump energy can be realized by Artificial Neural Network, self-organization mapping method or linearity or non-linear interpolation algorithm.
Above-mentioned battery of electric vehicle safety and health evaluating method wherein, adopt cloud computing to carry out the assessment of safe condition, health status and the dump energy of said driving battery.
Therefore; Battery of electric vehicle safety of the present invention and health evaluation system and method thereof are carried out the fast charging and discharging test through a kind of harmless battery method for quick to driving battery, gather corresponding electric current, voltage and the battery temperature information that drives battery simultaneously, and will drive battery the response data of charge-discharge test is input in the related algorithm model; Thereby the dynamic property of analysis-driven battery; Obtain corresponding safety state information, health status information and dump energy appreciation information, it can be arranged on ground such as charging station, and is simple to operate; Accuracy is high, and response speed is fast.
Description of drawings
Fig. 1 is the structural representation of a kind of battery of electric vehicle safety of the present invention and health evaluation system.
Embodiment
Below will combine accompanying drawing that the technique effect of design of the present invention, concrete structure and generation is described further, to understand the object of the invention, characteristic and effect fully.
As shown in Figure 1; Electric motor car of the present invention drives cell safety and health evaluation system and includes charge control module 102, electric motor car and drive the harmless quick test module of battery 103, drive cell safety evaluation module 104, drive cell health state evaluation module 105, drive battery dump energy evaluation module 106, driving battery information memory module 107 and battery information display module 108; Above-mentioned module links to each other successively, and last battery information display module 108 is connected with charge control module 102.This electric motor car drives cell safety and health evaluation system can be arranged on charging station.When electric motor car during in charging station charging or rest, the safety that can drive battery is easily assessed with health status.
When the driving battery was discharged and recharged operation according to predefined charge/discharge setting value sequence, the electric current, voltage and the battery temperature that drive battery can produce corresponding variation.According to the variation of above-mentioned electric current, voltage and battery temperature, can analyze and obtain driving cell safety and health and fitness information.
Particularly, at first charge control module 102 and electric motor car being driven battery module 101 links to each other.Receiving after electric motor car drives the predefined charge/discharge setting value sequence that the harmless quick test module 103 of battery sends, 102 pairs of charge control module drive battery and carry out and discharge and recharge operation, gather corresponding battery information simultaneously.Wherein, battery information comprises voltage, electric current and the battery temperature that drives battery when discharging and recharging; Then, charge control module 102 will obtain above-mentioned battery information and be sent to electric motor car and drive in the harmless quick test module 103 of battery; Electric motor car drives the harmless quick test module 103 of battery and more above-mentioned battery information is sent in the driving cell safety evaluation module 104, and obtains driving the safety state information of battery; Then, battery information before and safety state information together are sent in the driving cell health state evaluation module 105, to obtain driving the health status information of battery; Again this health status information together is sent in the driving battery dump energy evaluation module 106, to obtain driving the dump energy appreciation information of battery together with battery information before and safety state information; The battery information that obtains, safety state information, health status information and residual circuit appreciation information are together stored in the driving battery information memory module 107; In driving battery information display module 108, demonstrate above-mentioned battery information, safety state information, health status information and residual circuit appreciation information at last, supply user's real time inspection to use.Wherein, the health status information of driving battery comprises that also the rechargeable that drives battery uses residual life information.
In driving cell safety evaluation module 104, assess the safe condition that drives battery through adopting following mode, thereby obtain driving the safety state information of battery: CV
Saf=R [f (I), g (V), h (T)], wherein, CV
SafExpression confidence in security value, I is for driving the current value of battery, and V is for driving the magnitude of voltage of battery; T is for driving the temperature of battery, the current characteristic that f (I) calculates through special algorithm for current value, the current characteristic that g (V) calculates through special algorithm for magnitude of voltage; The temperature profile that h (T) calculates through special algorithm for the battery temperature value; R [f (I), g (V), h (T)] is that current characteristic, voltage characteristic and temperature profile calculate the safety assessment confidence value through special algorithm.Wherein, the special algorithm that is used to calculate current characteristic, voltage characteristic and temperature profile is: with the wavelet packet algorithm to adopt the time series of current value, magnitude of voltage and temperature value decompose and calculate the wavelet decomposition tree and go up energy, local peak-to-peak value, local maximum, local minimum, crest factor, the degree of bias of each branch; Algorithm based on current characteristic, voltage characteristic and temperature profile computationally secure assessment confidence value comprises: Artificial Neural Network, self-organization mapping method and regression algorithm; Current characteristic, voltage characteristic and the temperature profile DUAL PROBLEMS OF VECTOR MAPPING of said description battery status are arrived unified safe probability space; And show 0 to 1 safe probable value to the user, wherein: on behalf of battery, 0 lost efficacy and extreme dangerous; 1 represents battery operation in good condition and do not have potential safety hazard fully; Value between 0 to 1 is then represented the cell safety state between the two kinds of extremities in front.In driving cell health state evaluation module 105, assess the health status that drives battery through adopting following mode, thereby obtain driving the health status information of battery: CV
Health=U [f (I), g (V), h (T)], wherein, CV
HealthRepresent healthy confidence value, I is for driving the current value of battery, and V is for driving the magnitude of voltage of battery; T is for driving the temperature of battery, the current characteristic that f (I) calculates through special algorithm for current value, the current characteristic that g (V) calculates through special algorithm for magnitude of voltage; The temperature profile that h (T) calculates through special algorithm for the battery temperature value; U [f (I), g (V), h (T)] is that current characteristic, voltage characteristic and temperature profile calculate health status assessment confidence value through special algorithm.Wherein, the special algorithm that is used to calculate said current characteristic, voltage characteristic and temperature profile is: with the wavelet packet algorithm to adopt the time series of current value, magnitude of voltage and temperature value decompose and calculate the wavelet decomposition tree and go up energy, local peak-to-peak value, local maximum, local minimum, crest factor, the degree of bias of each branch; The algorithm that calculates health status assessment confidence value based on said current characteristic, voltage characteristic and temperature profile comprises: Artificial Neural Network, self-organization mapping method and regression algorithm; Current characteristic, voltage characteristic and the temperature profile DUAL PROBLEMS OF VECTOR MAPPING of said description battery status are arrived unified safe probability space; And show 0 to 1 safe probable value to the user; Wherein: on behalf of battery, 0 lost efficacy and extreme danger; 1 represents battery operation in good condition and do not exist potential safety hazard, the value between 0 to 1 then to represent the cell safety state between the two kinds of extremities in front fully.
In driving battery dump energy evaluation module 106, assess the dump energy that drives battery through adopting following mode, thereby obtain driving the dump energy appreciation information of battery: SOC=C [f (I); G (V), h (T)], wherein; SOC is for driving the residual electric quantity of battery, and I is for driving the current value of battery, and V is for driving the magnitude of voltage of battery; T is for driving the temperature of battery, the current characteristic that f (I) calculates through special algorithm for current value, the current characteristic that g (V) calculates through special algorithm for magnitude of voltage; The temperature profile that h (T) calculates through special algorithm for the battery temperature value; C [f (I), g (V), h (T)] is that current characteristic, voltage characteristic and temperature profile calculate the dump energy assessed value through special algorithm.Wherein, the special algorithm that is used to calculate said current characteristic, voltage characteristic and temperature profile is: with the wavelet packet algorithm to adopt the time series of current value, magnitude of voltage and temperature value decompose and calculate the wavelet decomposition tree and go up energy, local peak-to-peak value, local maximum, local minimum, crest factor, the degree of bias of each branch; The algorithm that calculates the dump energy assessed value based on said current characteristic, voltage characteristic and temperature profile is: through the vectorial model with dump energy of current characteristic, voltage characteristic and the temperature profile of said battery is come the estimated remaining electric weight, the model of assessment dump energy can be realized by Artificial Neural Network, self-organization mapping method or linearity or non-linear interpolation algorithm.
In the present invention; Can adopt the cloud computing technology that electric motor car is driven cell safety evaluation module 104, drives cell health state evaluation module 105 and drives battery dump energy evaluation module 106 and be arranged on charging station and remote data center; Thereby adjust computational resource in the charging of charging station and the scale of assessment wait queue according to electric motor car; Thereby realize electric motor car is driven the telescopic real-time calculating of high-performance, scale of battery group, effectively improve resource utilization.
In addition, drive battery information display module 108 and can be arranged on smart mobile phone or the panel computer,, guarantee to drive cell safety and effectively use so that real-time the reading of user drives the relevant information of battery.
More than describe preferred embodiment of the present invention in detail.The ordinary skill that should be appreciated that this area need not creative work and just can design according to the present invention make many modifications and variation.Therefore, all technician in the art all should be in the determined protection domain by claims under this invention's idea on the basis of existing technology through the available technical scheme of logical analysis, reasoning, or a limited experiment.
Claims (10)
1. an electric motor car drives cell safety and health evaluation system, it is characterized in that, comprises
Charge control module, thus its with drive battery module and be connected the driving battery is discharged and recharged operation, obtain the battery information of said driving battery;
Drive the harmless quick test module of battery, it is sent to said charge control module with predefined charge/discharge setting value sequence, and from said charge control module, obtains the battery information of said driving battery;
Drive the cell safety evaluation module, it produces the safety state information of said driving battery;
Drive the cell health state evaluation module, it produces the health status information of said driving battery;
The assessment of driving battery dump energy, it produces the dump energy appreciation information of said driving battery;
Drive the battery information memory module, it stores battery information, safety state information, health status information and the dump energy appreciation information of said driving battery;
And the battery information display module, it shows battery information, safety state information, health status information and the dump energy appreciation information of said driving battery;
Wherein, Said charge control module, the harmless quick test module of electric motor car driving battery, driving cell safety evaluation module, driving cell health state evaluation module, the assessment of driving battery dump energy, driving battery information memory module are connected with the battery information display module successively, and said display module is connected with said charge control module.
2. battery of electric vehicle safety as claimed in claim 1 and health evaluation system is characterized in that, the battery information of said driving battery comprises voltage, electric current, the battery temperature that drives battery.
3. battery of electric vehicle safety as claimed in claim 1 and health evaluation system is characterized in that, said battery information display module is arranged on smart mobile phone or the panel computer.
4. battery of electric vehicle safety and health evaluating method is characterized in that, may further comprise the steps:
Discharge and recharge operation to driving battery, gather the battery information of said driving battery simultaneously;
Assess the safe condition of said driving battery, obtain the safety state information of said driving battery;
Assess the health status of said driving battery, obtain the health status information of said driving battery;
Assess the dump energy assessment of said driving battery, obtain the dump energy appreciation information of said driving battery;
Store battery information, safety state information, health status information and the dump energy appreciation information of said driving battery;
The battery information, safety state information, health status information and the dump energy appreciation information that show said driving battery.
5. battery of electric vehicle safety as claimed in claim 4 and health evaluating method is characterized in that, the battery information of said driving battery comprises voltage, electric current, the battery temperature that drives battery.
6. battery of electric vehicle safety as claimed in claim 4 and health evaluating method is characterized in that, according to predefined charge/discharge setting value sequence said driving battery are discharged and recharged operation.
7. battery of electric vehicle safety as claimed in claim 4 and health evaluating method is characterized in that, the safe condition of assessing said driving battery adopts following mode: CV
Saf=R [f (I), g (V), h (T)], wherein, CV
SafExpression confidence in security value, I is for driving the current value of battery, and V is for driving the magnitude of voltage of battery; T is for driving the temperature of battery, the current characteristic that f (I) calculates through special algorithm for current value, the current characteristic that g (V) calculates through special algorithm for magnitude of voltage; The temperature profile that h (T) calculates through special algorithm for the battery temperature value; R [f (I), g (V), h (T)] is that current characteristic, voltage characteristic and temperature profile calculate the safety assessment confidence value through special algorithm; Wherein, the special algorithm that is used to calculate said current characteristic, voltage characteristic and temperature profile is: with the wavelet packet algorithm to adopt the time series of current value, magnitude of voltage and temperature value decompose and calculate the wavelet decomposition tree and go up energy, local peak-to-peak value, local maximum, local minimum, crest factor, the degree of bias of each branch; Algorithm based on said current characteristic, voltage characteristic and temperature profile computationally secure assessment confidence value comprises: Artificial Neural Network, self-organization mapping method and regression algorithm; Current characteristic, voltage characteristic and the temperature profile DUAL PROBLEMS OF VECTOR MAPPING of said description battery status are arrived unified safe probability space; And show 0 to 1 safe probable value to the user, wherein: on behalf of battery, 0 lost efficacy and extreme dangerous; 1 represents battery operation in good condition and do not have potential safety hazard fully; Value between 0 to 1 is then represented the cell safety state between the two kinds of extremities in front.
8. battery of electric vehicle safety as claimed in claim 4 and health evaluating method is characterized in that, the health status of assessing said driving battery adopts following mode: CV
Health=U [f (I), g (V), h (T)], wherein, CV
HealthRepresent healthy confidence value; I is for driving the current value of battery; V is for driving the magnitude of voltage of battery; T is for driving the temperature of battery, the current characteristic that f (I) calculates through special algorithm for current value, the current characteristic that g (V) calculates through special algorithm for magnitude of voltage; The temperature profile that h (T) calculates through special algorithm for the battery temperature value; U [f (I), g (V), h (T)] is that current characteristic, voltage characteristic and temperature profile calculate health status assessment confidence value through special algorithm; Wherein, the special algorithm that is used to calculate said current characteristic, voltage characteristic and temperature profile is: with the wavelet packet algorithm to adopt the time series of current value, magnitude of voltage and temperature value decompose and calculate the wavelet decomposition tree and go up energy, local peak-to-peak value, local maximum, local minimum, crest factor, the degree of bias of each branch; The algorithm that calculates health status assessment confidence value based on said current characteristic, voltage characteristic and temperature profile comprises: Artificial Neural Network, self-organization mapping method and regression algorithm; Current characteristic, voltage characteristic and the temperature profile DUAL PROBLEMS OF VECTOR MAPPING of said description battery status are arrived unified safe probability space; And show 0 to 1 safe probable value to the user, wherein: on behalf of battery, 0 lost efficacy and extreme dangerous; 1 represents battery operation in good condition and do not have potential safety hazard fully; Value between 0 to 1 is then represented the cell safety state between the two kinds of extremities in front.
9. battery of electric vehicle safety as claimed in claim 4 and health evaluating method is characterized in that, assess the dump energy assessment of said driving battery and adopt following mode: SOC=C [f (I); G (V), h (T)], wherein; SOC is for driving the residual electric quantity of battery; I is for driving the current value of battery, and V is for driving the magnitude of voltage of battery, and T is for driving the temperature of battery; The current characteristic that f (I) calculates through special algorithm for current value; The current characteristic that g (V) calculates through special algorithm for magnitude of voltage, the temperature profile that h (T) calculates through special algorithm for the battery temperature value, C [f (I); G (V); H (T)] for current characteristic, voltage characteristic and temperature profile calculate the dump energy assessed value through special algorithm, wherein, the special algorithm that is used to calculate said current characteristic, voltage characteristic and temperature profile is: with the wavelet packet algorithm to adopt the time series of current value, magnitude of voltage and temperature value decompose and calculate energy, local peak-to-peak value, local maximum, local minimum, crest factor, the degree of bias that wavelet decomposition is set each branch; The algorithm that calculates the dump energy assessed value based on said current characteristic, voltage characteristic and temperature profile is: through the vectorial model with dump energy of current characteristic, voltage characteristic and the temperature profile of said battery is come the estimated remaining electric weight, the model of assessment dump energy can be realized by Artificial Neural Network, self-organization mapping method or linearity or non-linear interpolation algorithm.
10. battery of electric vehicle safety as claimed in claim 4 and health evaluating method is characterized in that, adopt cloud computing to carry out the assessment of safe condition, health status and the dump energy of said driving battery.
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