电池(电)
MATLAB语言
参数统计
系统标识
计算机科学
鉴定(生物学)
参数化模型
过程(计算)
工具箱
电动汽车
功率(物理)
控制工程
工程类
模拟
数据建模
数学
物理
程序设计语言
植物
量子力学
操作系统
统计
生物
数据库
作者
Henry Miniguano,A. Barrado,A. Lázaro,P. Zumel,C. Fernández
出处
期刊:IEEE Transactions on Vehicular Technology
[Institute of Electrical and Electronics Engineers]
日期:2019-11-11
卷期号:69 (1): 235-245
被引量:74
标识
DOI:10.1109/tvt.2019.2952970
摘要
Accurate and robust battery models are required for the proper design and operation of battery-powered systems. However, the parametric identification of these models requires extensive and sophisticated methods to achieve enough accuracy. This article shows a general and straightforward procedure, based on Simulink and Simscape of Matlab, to build and parameterize Li-ion battery models. The model parameters are identified with the Optimization Toolbox of Matlab, by means of an iterative process to minimize the sum of the squared errors. In addition, this procedure is applied to a selection of five different models available in the literature for electric vehicle applications, obtaining a comparative study between them. Also, the performance of each battery model is evaluated through two current profiles from two driven profiles known as the Urban Driving Cycle (ECE-15 or UDC) and the Hybrid Pulse Power Characterization (HPPC). The experimental results obtained from a Li-ion polymer battery have been compared with the data provided by the models, confirming the effectiveness of the proposed procedure, and also, the application field of each model as a function of the required accuracy.
科研通智能强力驱动
Strongly Powered by AbleSci AI