Evaluation of Model Based State of Charge Estimation Methods for Lithium-Ion Batteries
| Autor: | Chris Mi, Zhongyue Zou, Binggang Cao, Jun Xu, Zheng Chen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Battery (electricity)
model-based estimation state of charge (SOC) battery management system (BMS) Luenberger observer Kalman filter sliding mode observer proportional integral observer Engineering Schedule Control and Optimization Energy Engineering and Power Technology lcsh:Technology jel:Q40 Control theory jel:Q jel:Q43 jel:Q42 jel:Q41 jel:Q48 jel:Q47 State observer Electrical and Electronic Engineering Engineering (miscellaneous) Simulation jel:Q49 Dynamometer Renewable Energy Sustainability and the Environment business.industry lcsh:T jel:Q0 jel:Q4 State of charge Rise time Workbench business Energy (miscellaneous) |
| Zdroj: | Energies, Vol 7, Iss 8, Pp 5065-5082 (2014) Energies; Volume 7; Issue 8; Pages: 5065-5082 |
| ISSN: | 1996-1073 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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