Charging time and loss optimization for LiNMC and LiFePO4 batteries based on equivalent circuit models

被引：131

作者：

Hu, Xiaosong ^{[1
,2
]}

Li, Shengbo ^{[1
,3
]}

Peng, Huei ^{[1
,3
]}

Sun, Fengchun ^{[2
]}

机构：

[1] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA

[2] Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China

[3] Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China

来源：

JOURNAL OF POWER SOURCES | 2013年 / 239卷

关键词：

Charging optimization; Li-ion battery; Multi-objective optimal control; Electrified vehicle; HYBRID; PATTERN; SYSTEM; ALGORITHM; SEARCH;

D O I：

10.1016/j.jpowsour.2013.03.157

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

Battery management system monitors and mitigates the operation of battery cells and stacks and is important for battery safety and reliability. This paper presents a dual-objective optimal charging strategy for two types of Li-ion batteries, which considers the conflict objectives of charging time and charging loss. The battery models developed in a prior research are used in the charging optimization. The influences of the charging voltage threshold, temperature, and health status on the charging results are analyzed for both lithium nickel manganese cobalt oxide (LiNMC) and lithium iron phosphate (LiFePO4) batteries. A comparison with the charging results based on the models that cannot describe the entire battery dynamics is also performed. (C) 2013 Elsevier B.V. All rights reserved.

引用

页码：449 / 457

页数：9

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