Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5148972 | Journal of Power Sources | 2017 | 16 Pages |
Abstract
Real-time prediction of the battery's core temperature and terminal voltage is very crucial for an accurate battery management system. In this paper, a combined electrochemical, heat generation, and thermal model is developed for large prismatic cells. The proposed model consists of three sub-models, an electrochemical model, heat generation model, and thermal model which are coupled together in an iterative fashion through physicochemical temperature dependent parameters. The proposed parameterization cycles identify the sub-models' parameters separately by exciting the battery under isothermal and non-isothermal operating conditions. The proposed combined model structure shows accurate terminal voltage and core temperature prediction at various operating conditions while maintaining a simple mathematical structure, making it ideal for real-time BMS applications. Finally, the model is validated against both isothermal and non-isothermal drive cycles, covering a broad range of C-rates, and temperature ranges [â25 °C to 45 °C].
Keywords
Related Topics
Physical Sciences and Engineering
Chemistry
Electrochemistry
Authors
Mohammed Farag, Haitham Sweity, Matthias Fleckenstein, Saeid Habibi,