Evaluation of Model Based State of Charge Estimation Methods for Lithium-Ion Batteries

Zhongyue Zou, Jun Xu, Chris Mi, Binggang Cao and Zheng Chen
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Zhongyue Zou: School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China
Jun Xu: School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China
Chris Mi: Department of Electrical and Computer Engineering, University of Michigan, Dearborn, MI 48128, USA
Binggang Cao: School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China
Zheng Chen: Department of Electrical and Computer Engineering, University of Michigan, Dearborn, MI 48128, USA

Energies, 2014, vol. 7, issue 8, 1-18

Abstract: Four model-based State of Charge (SOC) estimation methods for lithium-ion (Li-ion) batteries are studied and evaluated in this paper. Different from existing literatures, this work evaluates different aspects of the SOC estimation, such as the estimation error distribution, the estimation rise time, the estimation time consumption, etc. The equivalent model of the battery is introduced and the state function of the model is deduced. The four model-based SOC estimation methods are analyzed first. Simulations and experiments are then established to evaluate the four methods. The urban dynamometer driving schedule (UDDS) current profiles are applied to simulate the drive situations of an electrified vehicle, and a genetic algorithm is utilized to identify the model parameters to find the optimal parameters of the model of the Li-ion battery. The simulations with and without disturbance are carried out and the results are analyzed. A battery test workbench is established and a Li-ion battery is applied to test the hardware in a loop experiment. Experimental results are plotted and analyzed according to the four aspects to evaluate the four model-based SOC estimation methods.

Keywords: model-based estimation; state of charge (SOC); battery management system (BMS); Luenberger observer; Kalman filter; sliding mode observer; proportional integral observer (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (22)

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