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基于改进PNGV模型的动力锂电池SOC精确估计

邓磊 李小谦 吴浩伟 姚川 汪晓峰

电源技术2017,Vol.41Issue(10):1461-1463,1478,4.
电源技术2017,Vol.41Issue(10):1461-1463,1478,4.

基于改进PNGV模型的动力锂电池SOC精确估计

Accurate SOC estimation of power Li-ion battery based on improved PNGV model

邓磊 1李小谦 1吴浩伟 1姚川 1汪晓峰1

作者信息

  • 1. 武汉第二船舶设计研究所,湖北武汉430064
  • 折叠

摘要

Abstract

Accurate SOC estimation was difficult to traditional algorithm,so that the battery management system (BMS) couldn't work as better as we want.To solve this problem,the PNGV model was improved and its parameters were identified.The SOC estimation was estimated using extended Kalman filter (EKF) with the improved PNGV.After the experiments and simulations,it's clear that the method meets the requirements.

关键词

动力锂电池/改进PNGV模型/EKF/SOC估计

Key words

power Li-ion battery/PNGV model/extended Kalman filter/SOC estimation

分类

信息技术与安全科学

引用本文复制引用

邓磊,李小谦,吴浩伟,姚川,汪晓峰..基于改进PNGV模型的动力锂电池SOC精确估计[J].电源技术,2017,41(10):1461-1463,1478,4.

基金项目

国家青年科学基金(51507120) (51507120)

电源技术

OA北大核心CSCDCSTPCD

1002-087X

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