2022
DOI: 10.1016/j.icheatmasstransfer.2022.106209
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Design of a new optimized U-shaped lightweight liquid-cooled battery thermal management system for electric vehicles: A machine learning approach

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Cited by 60 publications
(8 citation statements)
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“…Increasing h can enhance the heat transfer, but it has no benefit to meet the module lightweight requirement. [ 71 ] Considering the heat transfer and lightweight requirement of the BTMS, the initial value of 58 mm was still used as the block height in later studies.…”
Section: Resultsmentioning
confidence: 99%
“…Increasing h can enhance the heat transfer, but it has no benefit to meet the module lightweight requirement. [ 71 ] Considering the heat transfer and lightweight requirement of the BTMS, the initial value of 58 mm was still used as the block height in later studies.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, HPs are promising passive systems for BTMS applications. [ 190 ] The amount of PCM used determines its heat storage capacity, the BTMS performance, and the overall weight of the battery pack. The use of PCMs for high‐capacity batteries requires additional space, which is a limited commodity in EVs.…”
Section: Thermal Management Systems For Rechargeable Batteriesmentioning
confidence: 99%
“…In order to optimize the battery radiator more efficiently, Chen et al, 15 combined with the resistance flow resistance network model, used the optimization strategy to study the spacing of the battery unit. After the optimization of the battery unit, the temperature can be reduced by up to 4 K. At the same time, scholars have developed a series of optimization methods, for example, multi-objective optimization, 16 artificial neural network (ANN) model, 17,18 topology optimization, 19 machine learning approach, 20 and particle Swarm optimization algorithm. 21 Depending on the heat transfer medium, heat dissipation in batteries is divided into liquid cooling 22 and air cooling.…”
Section: Introductionmentioning
confidence: 99%