ENHANCING BATTERY THERMAL MANAGEMENT IN ELECTRIC VEHICLES：A HYBRID DMCOA ALGORITHM AND DEEP NEURAL NETWORK APPROACH
This paper presents an innovative approach to Battery Thermal Management Systems (BTMS) utilizing a hybrid algorithm, the Dwarf Mongoose-based Coati Optimization Algorithm (DMCOA), in conjunction with a deep neural network (DNN). Our objective is to optimize the temperature of lithium-ion batteries...
| Päätekijät: | , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
| Julkaistu: |
Regional Association for Security and crisis management, Belgrade, Serbia
2023-11-01
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| Sarja: | Operational Research in Engineering Sciences: Theory and Applications |
| Aiheet: | |
| Linkit: | https://oresta.org/menu-script/index.php/oresta/article/view/599 |