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《Journal of Ordnance Equipment Engineering》 2018-06
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Parameters Identification of Lithium-Ion Batterie Model and Simulation of the Discharge Voltage Curves

GE Yaming;LI Jun;Experiment and Innovation Center,Harbin Institute of Technology (Shenzhen);School of Intelligent Systems Engineering,Sun Ya T-Sen University;  
A more efficient parameter identification method based on the heuristic algorithm is introduced to get parameters of pseudo-two-dimensional( P2 D) model of lithium-ion batteries. The heuristic algorithm includes features such as the requirement of fewer identified parameters and the effective interval spacing of parameters to save searching time during the genetic algorithm. This algorithm also uses a divide-andconquer strategy that divides the full set of P2 D model parameters into two groups and identifies each group,respectively. With this method,the complete identification of P2 D model parameters can be performed within 10 h using a single core computer. Simulated data using the above identified parameters are consistent with the experimenttal results. This method provides theoretic support to estimate the inner state and the residual capacity of LIBs,and it also offers data for safely and securely using lithium-ion batteries.
【Fund】: 863计划先进能源课题(2013AA050902);; 哈尔滨工业大学(深圳)教育教学改革研究项目(HITSZERP18006)
【CateGory Index】: TM912
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