Title: Vehicle battery thermal management with exergy considerations using a hybrid SHO-DRCNN approach for liquid cooling

Authors: Seeniappan Saravanan; Nanjappan Natarajan; Rajendran Rajiev; Chinnaraj Sathishkumar

Addresses: Department of Mechanical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, India ' Department of Mechanical Engineering, Sri Shanmuga College of Engineering and Technology, Sankari (T.K), Salem District – 637304, Tamil Nadu, India ' Department of Mechanical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, India ' Department of Mechanical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, India

Abstract: This manuscript proposes an efficient hybrid approach for liquid cooling with a battery thermal management system (BTMS) in an electric vehicle (EV). The proposed hybrid approach is the combination of the sea-horse optimiser (SHO) and dilated residual convolutional neural network (DRCNN), known as SHO-DRCNN approach. The main purpose of the proposed method is to provide a dependable and effective thermal management system that can successfully regulate the BP's temperature in an EV. By then, the proposed technique is implemented in the MATLAB platform and compared with other existing techniques. The proposed approach maintains the system's thermal management intact while reducing errors.

Keywords: MC; cooling temperature; battery thermal management system; BTMS; electric vehicle; SH optimiser; dilated residual convolutional neural network; DRCNN.

DOI: 10.1504/IJEX.2025.146413

International Journal of Exergy, 2025 Vol.47 No.1, pp.75 - 89

Received: 08 Apr 2024
Accepted: 30 Jul 2024
Published online: 28 May 2025 *

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