A parametric battery state of health estimation method for electric vehicle applications

被引：3

作者：

Sarikurt, Turev ^{[1
]}

Ceylan, Murat ^{[1
]}

Balikci, Abdulkadir ^{[1
]}

机构：

[1] Gebze Tech Inst, Fac Engn, Dept Elect Engn, Kocaeli, Turkey

来源：

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES | 2017年 / 25卷 / 04期

关键词：

Lithium-ion batteries; battery management systems; battery state of health; electric vehicles; LITHIUM-ION BATTERIES; LEAD-ACID-BATTERIES; OF-HEALTH; IMPEDANCE MEASUREMENTS; PROGNOSTICS; MANAGEMENT; SUPPORT; CHARGE; MODEL;

D O I：

10.3906/elk-1602-118

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Lithium-ion batteries are commonly preferred in electric vehicle applications. The relative capacity and state of health of a battery decrease with age. Therefore, accurate estimation of these parameters is essential. In this study a parametrical approach for estimation of battery state of health is proposed. A hybrid battery model that has a maximum error less than 3% is used. The relative capacity of the battery is estimated by using performance decrement with age. The method is validated by two different set of experiments. The first set is conducted with batteries that were aged by a controlled process and the second set is conducted with randomly aged batteries. The proposed method works successfully in both conditions with maximum error less than 5%.

引用

页码：2860 / 2870

页数：11

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