Battery open circuit voltage estimation method based on binary coding

基于二进制编码的电池开路电压估算方法

Abstract

The invention discloses a battery open circuit voltage estimation method based on binary coding, which belongs to the technical field of electric vehicles. The method comprises a first-order RC equivalent circuit model parameter recognition stage and a battery open circuit voltage predication stage. The first-order RC equivalent circuit model parameter recognition stage comprises steps: 1, a first-order RC equivalent circuit model for describing battery dynamic characteristics is built; 2, and according to actually-acquired battery current and voltage signals, model parameters are predicted based on a least square method. The battery open circuit voltage predication stage comprises steps: 3, a multi-order RC equivalent circuit model for describing battery static characteristics is built; 4, R1C1 recognized by the first-order RC equivalent circuit model parameter recognition stage serves as a reference R0C0; 5, RiCi in the multi-order RC equivalent circuit model is made to be 2iR0C0; and 6, according to the least square method, battery open circuit voltage is recognized. A binary coding principle is introduced to predict the battery open circuit voltage, and the problem that as the multi-order equivalent circuit model is high in linearity and high in coupling, solution is not facilitated can be solved.
本发明公开了基于二进制编码的电池开路电压预测方法,属于电动汽车技术领域,包括:一阶RC等效电路模型参数辨识阶段、电池开路电压预测阶段;一阶RC等效电路模型参数辨识阶段包括:步骤1,建立描述电池动态特性的一阶RC等效电路模型;步骤2,依据实际采集的电池电流及电压信号,基于最小二乘法预测模型参数;电池开路电压预测阶段包括:步骤3,建立描述电池静置特性的多阶RC等效电路模型;步骤4,以一阶RC等效电路模型参数辨识阶段辨识的R1C1作为基准R0C0;步骤5,令多阶RC等效电路模型中的RiCi=2iR0C0;步骤6,依据最小二乘法辨识电池开路电压。本发明引入二进制编码原理预测电池开路电压,解决了多阶等效电路模型非线性度高,耦合性高不利于求解的问题。

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