Abstract
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. 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 °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.
| Original language | English |
|---|---|
| Pages (from-to) | 804-816 |
| Number of pages | 13 |
| Journal | Applied Energy |
| Volume | 177 |
| Early online date | 13 Jun 2016 |
| DOIs | |
| Publication status | Published - 1 Sept 2016 |
| Externally published | Yes |
Funder
This work is supported by the National Science Foundation of China (Grant No. 51277010 ) and Postgraduate Innovation Foundation of Beijing Jiaotong University (Grant No. 2015YJS154)Funding
This work is supported by the National Science Foundation of China (Grant No. 51277010 ) and Postgraduate Innovation Foundation of Beijing Jiaotong University (Grant No. 2015YJS154 ). The authors would like to thank Professor Bor Yann Liaw from Hawaii Natural Energy Institute, SOEST, University of Hawaii for his contribution to the overall structure and thank Professor Barry Morris from Hanergy School of Renewable Energy, Beijing Jiaotong University for the language improvement of the main content.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Lithium-ion battery
- Low temperature
- Electro-thermal coupled model
- Frequency dependence
- Model reduction
ASJC Scopus subject areas
- Building and Construction
- General Energy
- Mechanical Engineering
- Management, Monitoring, Policy and Law
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