Estimating and Identifying Parameters from Charge-Discharge Curves of Lithium-Ion Batteries. (6th January 2017)

• Record Type: Journal Article
• Authors: Qi, Yanbo; Kolluri, Suryanarayana; Schwartz, Daniel T.; Subramanian, Venkat R.
• Is Part Of: ECS transactions. Volume 75:Number 20(2016)
• Page Start: 121
• Page End: 137
• Publication Date: 2017-01-06
• Subjects: Electrochemistry -- Periodicals; Electrochemistry; Periodicals; Electronic journals; Electronic journal; 541.37
• DOI: 10.1149/07520.0121ecst
• Languages: English
• ISSNs: 1938-5862

Abstract

Abstract : Electrochemical models for lithium-ion battery are useful in predicting and controlling its performance. The values of the parameters in these models are vital to their accuracy. However, not all the parameters can be measured experimentally, especially when destructive methods are prohibited. In this paper, we proposed a parameter estimation approach to estimate the open circuit potential (OCP) of the positive electrode using piecewise linear approximation together with all other parameters of a single particle model. Using the genetic algorithm (GA), OCP of the positive electrode and 10 more parameters were estimated from a single discharge curve without knowledge of the electrode chemistry. Different case studies are presented for estimating OCP of the positive electrode with different types of parameters of the battery model. The estimated parameters were then validated by comparing simulations at different C rates with experimental data.