4.8 Article

A reduced low-temperature electro-thermal coupled model for lithium-ion batteries

期刊

APPLIED ENERGY
卷 177, 期 -, 页码 804-816

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2016.05.153

关键词

Lithium-ion battery; Low temperature; Electra-thermal coupled model; Frequency dependence; Model reduction

资金

  1. National Science Foundation of China [51277010]
  2. Postgraduate Innovation Foundation of Beijing Jiaotong University [2015YJS154]

向作者/读者索取更多资源

A low-temperature electro-thermal coupled model, which is based on the electrochemical mechanism, is developed to accurately capture both electrical and thermal behaviors of batteries. Activation energies reveal that temperature dependence of resistances is greater than that of capacitances low-temperature electro-thermal coupled model, which is based on the electrochemical mechanism, is developed to accurately capture both electrical and thermal behaviors of batteries. Activation energies reveal that temperature dependence of resistances is greater than that of capacitances. The influence of frequency on polarization voltage and irreversible heat is discussed, and frequency dependence of polarization resistance and capacitance is obtained. Based on the frequency-dependent equation, a reduced low-temperature electro-thermal coupled model is proposed and experimentally validated under different temperature, frequency and amplitude conditions. Simulation results exhibit good agreement with experimental data, where the maximum relative voltage error and temperature error are below 2.65% and 1.79 degrees C, respectively. The reduced model is demonstrated to have almost the same accuracy as the original model and require a lower computational effort. The effectiveness and adaptability of the proposed methodology for model reduction is verified using batteries with three different cathode materials from different manufacturers. The reduced model, thanks to its high accuracy and simplicity, provides a promising candidate for development of rapid internal heating and optimal charging strategies at low temperature, and for evaluation of the state of battery health in on-board battery management system. (C) 2016 Elsevier Ltd. All rights reserved.

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