Comparison study on the battery models used for the energy management of batteries in electric vehicles

被引:368
作者
He, Hongwen [1 ]
Xiong, Rui [1 ]
Guo, Hongqiang [1 ]
Li, Shuchun [1 ]
机构
[1] Beijing Inst Technol, Sch Mech Engn, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China
基金
国家高技术研究发展计划(863计划);
关键词
Battery models; Lithium-ion battery; Electric vehicles; Experiment; Battery management system; STATE-OF-CHARGE; EQUIVALENT-CIRCUIT MODELS; EXTENDED KALMAN FILTER; ACID-BATTERIES; SYSTEMS; PACKS; SIMULATION;
D O I
10.1016/j.enconman.2012.04.014
中图分类号
O414.1 [热力学];
学科分类号
摘要
Battery model plays an important role in the simulation of electric vehicles (EVs) and states estimation of the batteries in the development of the model-based battery management system. To build a battery model with enough precision and suitable complexity, firstly this paper summarizes the seven representative battery models, which belong to the simplified electrochemical models or the equivalent circuit models. Then the model equations are built and the model parameters are identified with an online parameter identification method. The battery test bench is built and the experiment schedule is designed. Finally an evaluation is performed on the seven battery models by an experiment approach from the aspects of the estimation accuracy of the terminal voltages. To evaluate the effect of the number of RC networks on the model's precision, the battery general equivalent circuit models (GECMs) with different RC networks are also discussed further. The results indicate the equivalent circuit model with two RC networks, the DP model, has an optimal performance. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:113 / 121
页数:9
相关论文
共 31 条
[1]  
[Anonymous], 2010, Battery test manual for plug-in hybrid electric vehicle
[2]  
BRETT W, 2011, ENERGIES, V4, P435
[3]   Potential impacts assessment of plug-in electric vehicles on the Portuguese energy market [J].
Camus, C. ;
Farias, T. ;
Esteves, J. .
ENERGY POLICY, 2011, 39 (10) :5883-5897
[4]  
Chan HL, 2000, 2000 IEEE POWER ENGINEERING SOCIETY WINTER MEETING - VOLS 1-4, CONFERENCE PROCEEDINGS, P470, DOI 10.1109/PESW.2000.850009
[5]   Research on statistical methodology to investigate energy consumption in public buildings sector in China [J].
Chen, Shuqin ;
Li, Nianping ;
Guan, Jun .
ENERGY CONVERSION AND MANAGEMENT, 2008, 49 (08) :2152-2159
[6]  
*FLUK, FLUK 8845A 8846A 6 5
[7]  
Goodwin G. C., 1984, Adaptive filtering prediction and control
[8]   Dynamic Modeling and Simulation on a Hybrid Power System for Electric Vehicle Applications [J].
He, Hong-Wen ;
Xiong, Rui ;
Chang, Yu-Hua .
ENERGIES, 2010, 3 (11) :1821-1830
[9]   Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles [J].
He, Hongwen ;
Xiong, Rui ;
Guo, Hongqiang .
APPLIED ENERGY, 2012, 89 (01) :413-420
[10]   State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model [J].
He, Hongwen ;
Xiong, Rui ;
Zhang, Xiaowei ;
Sun, Fengchun ;
Fan, JinXin .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2011, 60 (04) :1461-1469