A novel numerical implementation of electrochemical-thermal battery model for electrified powertrains with conserved spherical diffusion and high efficiency. (October 2021)

• Record Type: Journal Article
• Authors: Yuan, Hao; Zhu, Sipeng; Akehurst, Sam; Wang, Liye; Wang, Lifang
• Is Part Of: International journal of heat and mass transfer. Volume 178(2021)
• Publication Date: 2021-10
• Subjects: Lithium-ion battery -- Electrochemical-thermal model -- Conserved spherical diffusion -- Jacobian-based method -- Jacobian-Free Newton-Krylov method; Heat -- Transmission -- Periodicals; Mass transfer -- Periodicals; Chaleur -- Transmission -- Périodiques; Transfert de masse -- Périodiques; Electronic journals; 621.4022
• DOI: 10.1016/j.ijheatmasstransfer.2021.121614
• Languages: English
• ISSNs: 0017-9310

Abstract

Abstract : highlights: An electrochemical-thermal model is presented for lithium-ion batteries in electrified powertrains. The control volume method is applied to achieve conserved spherical diffusion. Both Jacobian-based and Jacobian-free methods are implemented to solve discretised, nonlinear equations. High computational efficiency is achieved when modelling real-world driving cycles. Abstract: The performance of batteries in electrified powertrain systems is highly influenced by mass diffusion and electrochemistry which are often ignored in the simulation of these systems due to the lack of a conserved, efficient, and integrable battery model. Therefore, this work numerically implements an electrochemical-thermal battery model with conserved numerical schemes and efficient numerical methods which include Jacobian-based and Jacobian-Free Newton Krylov (JFNK) solvers. The performance of the developed model is evaluated by simulating measurements of a LiFePO 4 battery under constant discharge rates and Urban Dynamometer Driving Schedule (UDDS), as well as by a detailed comparison with existing battery models. The comparison highlights two features of our model: (a) negligible mass imbalances in the spherical diffusion modelling, which are five orders of magnitude smaller than those from a recent battery model in the literature; (b) efficient modelling of real-world driving cycles with the computational time two orders of magnitude shorter than that of the literature model. These advanced features indicate that our model can be applied in both fundamental electrochemical-thermal studies of lithium-ion battery and detailed simulations of electrified powertrains as an accurate and efficient sub-model.