A systematic approach for the parameter identification of electrochemical battery models enabling health-aware fast charging control of battery electric vehicles

• Published in: Journal of energy storage 2022-12, Vol.56, p.105951, Article 105951
• Main Authors: Wassiliadis, Nikolaos, Ank, Manuel, Bach, Andreas, Wanzel, Matthias, Zollner, Ann-Sophie, Gamra, Kareem Abo, Lienkamp, Markus
• Format: Article
• Language: English
• Subjects: Battery management systems; Electric vehicles; Electrochemical modeling; Fast charging; Lithium-ion battery; Parameter identification
• ISSN: 2352-152X; 2352-1538
• DOI: 10.1016/j.est.2022.105951

In industrial practice, fast charging currents are usually controlled by current stages derived from long-term lab testing at different cell integration levels — requiring intensive experimental effort prior to application. Model-based approaches exploiting knowledge of the electro-thermal behavior of the deployed lithium-ion cells promise a quicker and more targeted development of fast charging strategies with less long-term lab testing effort. However, there is still no consensus in the literature on how to quickly parameterize physics-enhanced electro-thermal battery models without a greater loss of generality. We present a systematic procedure to parameterize an electrochemical reduced-order model capable of controlling the charging current to a specific anode potential reserve at the edge of the lithium deposition process in real time for a given commercial lithium-ion cell. A broad experimental validation at charging rates ranging from 1C to 6C, ambient temperatures between −10°C and 50°C, and at pack level is carried out to confirm the developed method. •Novel method for the systematic parameter identification of electrochemical models.•Comprehensive validation for a commercial lithium-ion cell up to 6C at −10°C to 50°C.•Enabling health-aware fast charging control over the lithium-ion cell’s lifetime.•Sensitivity analysis of parameter uncertainties on anode potential control.