Abstract
The poor battery discharging performance and capacity, operated at low temperature, pose a technical barrier limiting their use in electric vehicles. In recent years there has been an increasing interest in heating battery in order to improve its low temperature performance. In this paper, a sinusoidal alternate current (AC) heating method is proposed to heat the battery. The battery is heated fast and uniformly, due to a large amount of heat generated at the inside of battery when sinusoidal alternate current is transited in a battery. Furthermore, a two-layer thermal model is established to simulate the heating method, where genetic algorithm is used for model parameter identification. At last some sinusoidal alternate current heating experiments were conducted to show the model accurately simulate real heat generation. The proposed heating strategy is of great potential for rapidly improving operating performance of electric vehicles in cold weather.
Original language | English |
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Pages (from-to) | 2492-2498 |
Number of pages | 7 |
Journal | Energy Procedia |
Volume | 105 |
DOIs | |
Publication status | Published - 2017 |
Event | 8th International Conference on Applied Energy, ICAE 2016 - Beijing, China Duration: 8 Oct 2016 → 11 Oct 2016 |
Keywords
- genetic algorithm
- layered heating model
- lithium-ion battery
- sinusoidal AC heating