ENHANCING BATTERY THERMAL MANAGEMENT IN ELECTRIC VEHICLES：A HYBRID DMCOA ALGORITHM AND DEEP NEURAL NETWORK APPROACH

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...

Full description

Bibliographic Details
Main Authors: Gengqiang Huang, Chonlatee Photong
Format: Article
Language:English
Published: Regional Association for Security and crisis management, Belgrade, Serbia 2023-11-01
Series:Operational Research in Engineering Sciences: Theory and Applications
Subjects:
Electric Vehicles (EVs)
Battery Thermal Management
Lithium-ion Battery
Deep Neural Network
Optimization
Online Access:https://oresta.org/menu-script/index.php/oresta/article/view/599

Similar Items

Similar Items