Dynamic Thermal Model of Li-Ion Battery for Predictive Behavior in Hybrid and Fuel Cell Vehicles

By Chanwoo Park, A. Jaura. 2003

185 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/35383a7a0e2882c7e22fd2ffad8b1ec4803356e8

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In Automotive Engineering

In Electrical and Electronic Engineering

Citations in the corpus

Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures (2020, methodology): “Because the experimental test methods are costly and time consuming, a lot of research has been devoted to developing a high-fidelity model that can simulate battery failure behavior, such as the ECM [60], [117], two-state thermal model [118], electrochemical–thermal model [119], [120], 3D electroch”
Model-based real-time thermal fault diagnosis of Lithium-ion batteries (2016, methodology): “As a trade-off between the comprehensive and simplified modelling approaches, a two-state thermal model that predicts the surface and core temperature of a battery cell has also been proposed in Doughty et al. (2002) and Park and Jaura (2003).”
Liquid cooling based on thermal silica plate for battery thermal management system (2017, background): “wileyonline the optimum temperature range being between 20°C and 45°C.(2) When the temperature is outside of this range, the battery performance drops, namely, at low‐temperature, the capacity fades while the electrode materials degrade fast at high‐temperature.”
Safety focused modeling of lithium-ion batteries: A review (2016, methodology): “Many papers have been published on battery thermal analysis, most of them including experimental works and numerical simulations performed 11 with FDMs [48-50], FVMs [51-53], FEMs [54-57], or computational fluid dynamics (CFD) methods [29,58-61].”
Online Parameterization of Lumped Thermal Dynamics in Cylindrical Lithium Ion Batteries for Core Temperature Estimation and Health Monitoring (2013, background): “Model parameters can be approximated based on the geometry of the battery and the volume averaging physical properties of its components [9], but such approximation may not be accurate due to the complicated layered structure of the cell and the interfaces between the layers.”