Internal Impedance Parameter Extension Method for Power Battery Simulator

Abstract

The invention discloses an internal impedance parameter expansion method for a power battery simulator. Considering the computing capability and data storage capacity of the existing main control chip, the temperature and battery capacity are set according to the working conditions of the lithium-ion power battery. , remaining power and other working conditions and take a reasonable set value to combine, then test the combined working conditions on the power battery and obtain a sample database of the parameters to be tested, and finally use the sample database for any working condition using interpolation to simulate All the parameters to be measured under the corresponding working conditions can be obtained through a combined algorithm, thereby reducing the requirements for hardware calculation and storage capacity, and greatly improving the calculation accuracy of internal impedance parameters, which is conducive to simplifying the design of existing power battery simulators. Even using a common single-chip microcomputer MCU on the market can realize accurate power battery output voltage simulation.

Description

technical field [0001] The invention relates to a method for calculating internal impedance parameters of a power battery simulator, in particular to a method for calculating internal impedance parameters of a power battery simulator by using existing sample data in an interpolation manner. Background technique [0002] The power battery pack is the power core of new energy vehicles, and the battery management system that undertakes battery management and control tasks is an important guarantee for vehicle driving performance and safety. During the design and optimization process of the battery management system, it can be debugged and improved by connecting the actual battery pack. However, the use of actual battery packs will face problems such as difficulty in setting initial conditions and long testing time. It is difficult to flexibly change and control conditions such as capacity and temperature according to requirements, and repeated debugging will also consume a lot ...

AI Technical Summary

Problems solved by technology

In order to realize the calculation of internal impedance parameters according to working conditions, two methods are generally used in engineering: one is online, that is, real-time measurement of working conditions, including temperature, battery capacity, remaining battery power, etc., and the above working conditions are transmitted to the computer , using the powerful computing power of the computer to calculate the internal impedance parameters of the corresponding working conditions. This method has high computing precision, but due to the complexity of its computing program, the computing power of the main control chip in the actual control system is relatively low. Therefore, the above method cannot be directly applied to engineering; the other is offline, which forms a database by collecting internal impedance parameters under different working conditions and stores them in the memory chip. According to the actual working conditions, directly read the closest impedance in the database The output voltage of the battery simulator is obtained by calculating the internal impedance parameters of the battery simulator. Although this method has low computing power for the control chip, if it is necessary to obtain accurate calculation results, it requires the support of a huge internal impedance parameter database, which is limited by the existing The storage space of the main control system of the simulator can only reduce the occupied space of the database, that is, reduce the collection points of working conditions and the number of corresponding internal impedance parameters, which will eventually lead to the increase of calculation errors

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