CN111948540A - Power battery pack temperature prediction method and system - Google Patents
Power battery pack temperature prediction method and system Download PDFInfo
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- CN111948540A CN111948540A CN202010609199.3A CN202010609199A CN111948540A CN 111948540 A CN111948540 A CN 111948540A CN 202010609199 A CN202010609199 A CN 202010609199A CN 111948540 A CN111948540 A CN 111948540A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/24—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries for controlling the temperature of batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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Abstract
The invention discloses a power battery pack temperature prediction method and system. The process is as follows: determining heat generation model parameters, heat exchange model parameters and temperature measurement model parameters; estimating average heat generation power and heat exchange power between the battery pack and the environment in a future period of time based on the heat generation model parameters, the heat exchange model parameters and the temperature calculation model parameters; and predicting the temperature after a future period of time based on the average heat generation power, the heat exchange power and the temperature at the current moment. The method and the device consider the charging and discharging requirements of the vehicle on the battery in the future application working condition and the environmental change to predict the temperature change of the battery pack, the prediction is more accurate and reliable, and a basis is provided for the temperature management of the battery pack.
Description
Technical Field
The invention belongs to the technical field of power batteries, and particularly relates to a power battery pack temperature prediction method and system.
Background
The temperature is an important factor influencing the performance, service life and safety performance of the power battery, and in a power battery temperature management system, if the temperature change of a power battery pack can be predicted in advance, corresponding heat management measures can be taken timely and effectively, so that the power battery can work in an expected temperature range all the time.
The factors influencing the internal temperature of the power battery are more: the charging and discharging process for meeting the vehicle running requirements causes the change of the heat generation condition of the battery, the difference of the heat exchange effect between different running environments and the power battery pack, the response condition of the self characteristics of the battery pack to the heat change and the like. These all result in temperature changes in the power cell pack.
Patent application 201910123752 proposes a power battery temperature prediction system and method, which performs temperature prediction by the current temperature, current, voltage, SOC, etc. of the battery. Patent application 201510327299 proposes an adaptive method for power battery operating temperature by collecting data that causes power battery temperature changes and predicted values of current to predict power battery temperature changes, and by comparing the predicted temperature with the actual temperature for adaptive identification. The two patents only consider the influence of the current battery pack temperature and information, but do not consider the influence of the future application working condition and environmental change of the vehicle on the battery pack temperature, so that the prediction of the battery pack temperature is inaccurate.
Disclosure of Invention
The invention aims to solve the defects of the background technology and provide a simple and high-reliability power battery pack temperature prediction method and system.
The technical scheme adopted by the invention is as follows: a power battery pack temperature prediction method is characterized in that: the method comprises the following steps:
1) determining heat generation model parameters, heat exchange model parameters and temperature measurement model parameters;
2) estimating average heat generation power and heat exchange power between the battery pack and the environment in a future period of time based on the heat generation model parameters, the heat exchange model parameters and the temperature measurement model parameters;
3) and predicting the temperature after a future period of time based on the average heat generation power, the heat exchange power and the temperature at the current moment.
Further, the average heat generation power was evaluated by the following formula
Q1＝A*I2+B*I
Wherein Q is1Is the average heat generation power; A. b, respectively generating heat model parameters and heat exchange model parameters; and I is the charging and discharging current of the power battery.
Further, the heat exchange power was evaluated by the following formula
Q2＝C*(Tout-Tin)+E
Wherein Q is2Is the average heat generation power; c is a temperature measurement model parameter; t isoutThe external temperature of the power battery pack is used; t isinThe internal temperature of the power battery pack is used; and E is a first calibration parameter.
Further, the temperature after a future period of time is predicted by the following formula
T2＝T1+F*(Q1+Q2)*△t
Wherein, T1Temperature at the present moment, T2The temperature after a period of time in the future, and delta t is the duration of the period of time in the future; and E is a second calibration parameter.
Further, battery state information is obtained from a battery management system, vehicle requirement information is obtained from a vehicle control system, and heat generation model parameters, heat exchange model parameters and temperature measurement model parameters are determined according to the battery state information and the vehicle requirement information.
Further, the battery state information includes internal temperature, external temperature, voltage, current, remaining capacity information of the battery pack.
Further, the vehicle demand information comprises charging and discharging power, charging and discharging duration and vehicle speed information of the vehicle to the battery in a future period.
Furthermore, the duration of the future period of time is 1-10 h.
A power battery pack temperature prediction system comprises
The battery state information detection unit is used for acquiring battery state information from the battery management system and sending the battery state information to the heat change prediction unit and the temperature change prediction unit;
the vehicle demand information detection unit acquires vehicle demand information from a vehicle control system and sends the vehicle demand information to the heat change prediction unit;
a heat change prediction unit for estimating an average heat generation power and a heat exchange power between the battery pack and the environment for a future period of time based on the received battery state information and the vehicle demand information;
a temperature change prediction unit for predicting a temperature after a future period of time based on the average heat generation power, the heat exchange power and the battery state information
Further, the heat change prediction unit determines a heat generation model parameter, a heat exchange model parameter, and a temperature estimation model parameter according to the received battery state information and vehicle demand information, and estimates an average heat generation power and a heat exchange power between the battery pack and the environment for a future period of time according to the heat generation model parameter, the heat exchange model parameter, and the temperature estimation model parameter.
The method and the device consider the charging and discharging requirements of the vehicle on the battery in the future application working condition and the environmental change to predict the temperature change of the battery pack, the prediction is more accurate and reliable, and a basis is provided for the temperature management of the battery pack.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
FIG. 2 is a schematic diagram of the temperature prediction process of the present invention.
Detailed Description
The following further describes embodiments of the present invention with reference to the drawings. It should be noted that the description of the embodiments is provided to help understanding of the present invention, but the present invention is not limited thereto. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
As shown in FIG. 1, the present invention provides a power battery pack temperature prediction system, which comprises
The battery state information detection unit 1 is connected with the battery management system 5 through a bus and used for acquiring battery state information from the battery management system and sending the battery state information to the heat change prediction unit and the temperature change prediction unit; the battery state information includes internal temperature, external temperature, voltage, current, remaining capacity information, etc. of the battery pack.
The vehicle demand information detection unit 2 is connected with the vehicle control system 6 through a bus, and can acquire application scene information and vehicle demand information from the vehicle control system and send the application scene information and the vehicle demand information to the heat change prediction unit; the vehicle demand information includes charge and discharge power, charge and discharge duration, vehicle speed information, and the like of the vehicle to the battery in a future period of time.
The heat change prediction unit 3 acquires required information from the battery state information detection unit and the vehicle demand information detection unit, determines a heat generation model parameter, a heat exchange model parameter and a temperature measurement model parameter, measures and calculates the change of the heat inside the power battery pack meeting the vehicle running condition demand in a future period of time by using the heat generation model and the heat exchange model according to the heat generation model parameter, the heat exchange model parameter and the temperature measurement model parameter, and outputs the measurement and calculation result to the temperature change prediction unit, wherein the change includes average heat generation power and heat exchange power between the battery pack and the environment.
The temperature change prediction unit 4 obtains the heat change in the power battery pack in the future from the heat change prediction unit, predicts the temperature change rule in the battery pack after the future period of time according to the temperature measurement model, and outputs the result.
Based on the power battery pack temperature prediction system, the invention also provides a power battery pack temperature prediction method, as shown in fig. 2, the process is as follows:
firstly, automatically identifying parameters A, B, C of a heat generation model, a heat exchange model and a temperature measurement model according to the acquired battery state information and application demand information; parameter E, F may be calibrated by experimental testing;
secondly, estimating the average heat generation power in a future period of time according to a heat generation model;
Q1＝A*I2+B*I
wherein: q1Is the average heat generation power; A. b, respectively generating heat model parameters and heat exchange model parameters; and I is the charging and discharging current of the power battery.
The heat exchange power between the battery pack and the environment for a future period of time is then estimated according to a heat exchange model:
Q2＝C*(Tout-Tin)+E
wherein Q is2Is the average heat generation power; c is a temperature measurement model parameter; t isoutThe external temperature of the power battery pack is used; t isinThe internal temperature of the power battery pack is used; and E is a first calibration parameter.
And finally, estimating the temperature change prediction caused by the heat change according to the temperature measurement model:
T2＝T1+F*(Q1+Q2)*△t
wherein, T1Temperature at the present moment, T2The temperature after a period of time in the future and the delta t are the duration of the period of time in the future, and can be taken as required, and the value can be any value from 1 to 10 hours; and E is a second calibration parameter.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Those not described in detail in this specification are within the skill of the art.
Claims (10)
1. A power battery pack temperature prediction method is characterized by comprising the following steps:
1) determining heat generation model parameters, heat exchange model parameters and temperature measurement model parameters;
2) estimating average heat generation power and heat exchange power between the battery pack and the environment in a future period of time based on the heat generation model parameters, the heat exchange model parameters and the temperature calculation model parameters;
3) and predicting the temperature after a future period of time based on the average heat generation power, the heat exchange power and the temperature at the current moment.
2. The power battery pack temperature prediction method according to claim 1, characterized in that: the average heat generation power was evaluated by the following formula
Q1＝A*I2+B*I
Wherein Q is1Is the average heat generation power; A. b, respectively generating heat model parameters and heat exchange model parameters; and I is the charging and discharging current of the power battery.
3. The power battery pack temperature prediction method according to claim 1, characterized in that: heat exchange power was evaluated by the following formula
Q2＝C*(Tout-Tin)+E
Wherein Q is2Is the average heat generation power; c is a temperature measurement model parameter; t isoutThe external temperature of the power battery pack is used; t isinThe internal temperature of the power battery pack is used; and E is a first calibration parameter.
4. The power battery pack temperature prediction method according to claim 1, characterized in that: predicting the temperature after a future period of time by the following formula
T2＝T1+F*(Q1+Q2)*△t
Wherein, T1Temperature at the present moment, T2The temperature after a period of time in the future, and delta t is the duration of the period of time in the future; and E is a second calibration parameter.
5. The power battery pack temperature prediction method according to claim 1, characterized in that: the method comprises the steps of obtaining battery state information from a battery management system, obtaining vehicle demand information from a vehicle control system, and determining heat generation model parameters, heat exchange model parameters and temperature measurement model parameters according to the battery state information and the vehicle demand information.
6. The power battery pack temperature prediction method according to claim 1, characterized in that: the battery state information includes internal temperature, external temperature, voltage, current, remaining capacity information of the battery pack.
7. The power battery pack temperature prediction method according to claim 1, characterized in that: the vehicle demand information comprises charging and discharging power, charging and discharging duration and vehicle speed information of the vehicle to the battery in a future period of time.
8. The method and system for predicting the temperature of the power battery pack according to claim 1, wherein: the duration of the future period of time is 1-10 h.
9. A power battery pack temperature prediction system is characterized in that: comprises that
The battery state information detection unit is used for acquiring battery state information from the battery management system and sending the battery state information to the heat change prediction unit and the temperature change prediction unit;
the vehicle demand information detection unit acquires vehicle demand information from a vehicle control system and sends the vehicle demand information to the heat change prediction unit;
a heat change prediction unit for estimating an average heat generation power and a heat exchange power between the battery pack and the environment for a future period of time based on the received battery state information and the vehicle demand information;
and the temperature change prediction unit is used for predicting the temperature after a period of time in the future based on the average heat generation power, the heat exchange power and the battery state information.
10. The power battery pack temperature prediction system of claim 9, wherein: the heat change prediction unit determines a heat generation model parameter, a heat exchange model parameter and a temperature measurement model parameter according to the received battery state information and the vehicle demand information, and estimates an average heat generation power and a heat exchange power between the battery pack and the environment in a future period of time according to the heat generation model parameter, the heat exchange model parameter and the temperature measurement model parameter.
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