E-COSM 2024 Paper Abstract

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Paper ThA3.3

Ma, Baolin (Tongji University), Guo, Lulu (Tongji University), Chen, Hong (Tongji University)

Modeling and Parameter Optimization of Battery Liquid Cooling Thermal Management System for Electric Vehicles

Scheduled for presentation during the Invited session "Control, Simulation and Modeling of Intelligent Vehicles" (ThA3), Thursday, October 31, 2024, 11:10−11:30, Room T3

7th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, Oct 30 - Nov 1, 2024, Dalian, China

This information is tentative and subject to change. Compiled on May 16, 2025

Keywords Thermal Management, Validation, Motors and Electric Systems

Abstract

In this paper, a control-oriented electrothermal coupling battery liquid cooling thermal management model is presented, which includes the refrigeration cycle of the air-conditioning system, the cooling cycle of the battery system, and the battery electric-thermal coupled loop in electric vehicles. A cool-down mode is considered for the battery thermal management system in the hot summer. A high-fidelity physical-based model is established in Simcenter AMESim to validate the effectiveness of the proposed control-oriented model. The simulation results show that the deviations of the vehicle speed, battery state of charge, and temperature between the AMESim and proposed model are within 0.84km/h, 0.13%, and 0.23$^{circ}rm C$, respectively. Besides, the validation results show the same trend of the proposed dynamic character as AMESim, which indicates the proposed model is well suited for controller design in the future.

 

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