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充电模态下电动汽车动力电池模型辨识

刘伟龙 王丽芳 廖承林 王立业

电工技术学报2017,Vol.32Issue(11):198-207,10.
电工技术学报2017,Vol.32Issue(11):198-207,10.

充电模态下电动汽车动力电池模型辨识

Parameters Identification Method of Battery Model for Electric Vehicles under the Charging Mode

刘伟龙 1王丽芳 2廖承林 1王立业1

作者信息

  • 1. 中国科学院电力电子与电力传动重点实验室(电工研究所) 北京 100190
  • 2. 中国科学院大学 北京 100049
  • 折叠

摘要

Abstract

The battery model and parameters identification are the base of the charge and discharge optimal control of electric vehicle traction batteries.And the parameters of the battery model are affected by the working condition of the traction battery.In order to model the traction battery and identify the model parameters, modeling algorithm of traction battery and parameters identification method were studied in this paper.A variable order equivalent circuit model was established, which is based on the electrode impedance spectrum theory.A parameter identification algorithm was proposed, which is based on the forgetting factor recursive extended least square (FFRELS).A selection algorithm for the optimal order of the battery model was built, which is based on the Bayesian information criterions (BIC).A battery open circuit voltage model that was used for calibration of the proposed parameter identification algorithm was created, which is based on the lattice gas model (LGM).In the end, the battery model parameters identification algorithm and the optimal order selection under the charging mode was achieved.Validation results show that the proposed modeling and parameters identification algorithm is efficient.

关键词

电池模型/参数辨识/遗忘因子/贝叶斯信息准则/晶格气体模型

Key words

Battery model/parameters identification/forgetting factor/Bayesian information criterions/lattice gas model

分类

信息技术与安全科学

引用本文复制引用

刘伟龙,王丽芳,廖承林,王立业..充电模态下电动汽车动力电池模型辨识[J].电工技术学报,2017,32(11):198-207,10.

基金项目

国家重点研发计划项目(2016YFB0101801,2016YFB0101800)和国家电网公司科技项目"电动汽车基础设施运行安全与互联网互通技术"资助. (2016YFB0101801,2016YFB0101800)

电工技术学报

OA北大核心CSCDCSTPCD

1000-6753

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