Open Circuit Voltage Equation parameter identification of Lithium Ion Battery Model using Genetic Algorithm

被引：0
作者：
Narayanan, S. Siva Suriya [1 ]
Thangavel, S. [1 ]
机构：
[1] NITPY, EEE Dept, Karaikal, Puducherry, India
来源：
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT-2020) | 2020年
关键词：
Battery; Open Circuit Voltage (OCV); Battery Management System (BMS); State of Charge (SoC); Genetic Algorithm (GA); Urban Dynamometer Driving Cycle (UDDS); MANAGEMENT-SYSTEMS; PACKS; STATE; CHARGE;
D O I：
10.1109/icict48043.2020.9112455
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Battery Models are the main source of Battery Management System where exact battery model is used to calculate Battery's performance parameters like State of Charge, State of Health in real-time. In this paper Open circuit voltage of 2 battery models are estimated using Genetic Algorithm in MATLAB and its result is compared with Experimental Battery models. The battery is tested with Urban Dynamometer Driving Cycle (UDDS) to estimate its performance.
引用
收藏
页码：1122 / 1127
页数：6
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