Abstract
Low-temperature preheating of batteries is fundamental to ensure that electric vehicles exhibit excellent performance in all-climate conditions. Direct current for discharge is presented to rapidly preheat batteries due to its simple implementation and high heat generation compared to alternating current. Experimental results reveal that the heating time is significantly reduced while capacity degradation is dramatically increased, with the decreasing discharge heating voltage. A simple fade model to capture battery capacity loss is proposed and accurately demonstrated under direct-current discharge heating. Pareto front for dual crucial yet conflicting objectives, heating time and capacity loss, is obtained using the multi-objective genetic algorithm and the effect of weighting coefficient on heating performance is discussed, thus proposing an optimal internal-heating strategy. The battery is rapidly heated from −30 °C to 2.1 °C within 103 s and the capacity loss is only 1.4% after 500 repeatedly heating, implying substantially no lifetime deterioration. At 0.8 state-of-charge, the heated battery can offer 8.7/32.7 times the discharge/charge power and 62.46 times the discharge energy of the unheated battery, indicating a significant performance boost. The proposed optimal heating method, thanks to short heating time and no substantial lifetime reduction, yields great potential to rapidly boost battery performance in extremely cold conditions.
| Original language | English |
|---|---|
| Article number | 113797 |
| Journal | Applied Energy |
| Volume | 256 |
| Early online date | 18 Sept 2019 |
| DOIs | |
| Publication status | Published - 15 Dec 2019 |
| Externally published | Yes |
Funder
This work is supported by the Fundamental Research Funds of the Central Universities, China (Grant No. 2018JBM053) and the National Natural Science Foundation of China, China (Grant No. U1664255)Funding
This work is supported by the Fundamental Research Funds of the Central Universities, China (Grant No. 2018JBM053) and the National Natural Science Foundation of China, China (Grant No. U1664255). This work is supported by the Fundamental Research Funds of the Central Universities , China (Grant No. 2018JBM053 ) and the National Natural Science Foundation of China , China (Grant No. U1664255 ).
Keywords
- Battery fade model
- Battery heat generation model
- Direct-current discharge heating voltage
- Lithium-ion battery
- Low temperature
- Optimal heating
ASJC Scopus subject areas
- Building and Construction
- General Energy
- Mechanical Engineering
- Management, Monitoring, Policy and Law