Thermal Management Designs and Energy Efficiency in Electric Vehicle Batteries: Finite Element Modeling
Keywords:
Electric Vehicles, Finite Element Modeling, Energy Efficiency, Battery Thermal Management, Parasitic PowerAbstract
The rapid proliferation of electric vehicles has necessitated advanced engineering solutions to optimize battery performance, longevity, and safety. Among the most critical subsystems in an electric vehicle is the battery thermal management system, which regulates the operating temperature of lithium-ion cells. However, thermal management systems inherently consume energy, creating a complex trade-off between cooling efficacy and overall vehicle energy efficiency. This paper provides a comprehensive investigation into the linkage between various thermal management designs and systemic energy efficiency using finite element modeling. By simulating the thermal behavior of battery modules under high-stress operational conditions, this study quantifies temperature distributions, heat dissipation rates, and the parasitic power demands of different cooling configurations. The research evaluates both traditional passive structures and advanced active liquid cooling networks, extracting high-fidelity data on pressure drops and fluid dynamics without relying on simplified lumped-capacitance models. The findings reveal that optimizing the geometry of cooling channels can significantly reduce parasitic pump work while maintaining maximum cell temperatures within the optimal operational window. Ultimately, the finite element evidence presented in this study offers critical insights for automotive engineers seeking to maximize the driving range of electric vehicles through the intelligent design of auxiliary thermal systems.References
1. Caliskan, C.I.; Ozer, G.; Koc, E.; Saritas, U.S.; Yildiz, C.F.; Cicek, O.Y. Efficiency Research of Conformal Channel Geometries Produced by Additive Manufacturing in Plastic Injection Mold Cores (Inserts) Used in Automotive Industry. 3D Print. Addit. Manuf. 2023, 10, 213–225.
2. Feng, S.; Kamat, A.M.; Pei, Y. Design and fabrication of conformal cooling channels in molds: Review and progress updates. Int. J. Heat Mass Transf. 2021, 171, 121082.
3. Zhu, Y.; Liu, F.; Wang, Y.; Zhang, H.; Xue, P.; Wu, L.; Ni, D.; Xiao, B.; Ma, Z. Fabrication of Thin-Walled Metal Structures with Enhanced Energy Absorption Capabilities by Metal-Fused Deposition Modeling without Using Debinding Chemical Reagents. Adv. Eng. Mater. 2025, 27, 2402792.
4. Meng, Y.; Hou, Z.; Wang, L.; Deng, A.; Hu, D.; Yang, X.; Yang, Z.; Zhu, Z.; Chen, H. Oscillating laser-arc hybrid welding of aluminum alloy via synchronous wire-powder feeding: Microstructure evolution and mechanical properties. Mater. Des. 2026, 265, 116056.
5. Chung, C.-Y. Integrated Optimum Layout of Conformal Cooling Channels and Optimal Injection Molding Process Parameters for Optical Lenses. Appl. Sci. 2019, 9, 4341.
6. Gao, Z.; Dong, G.; Tang, Y.; Zhao, Y.F. Machine learning aided design of conformal cooling channels for injection molding. J. Intell. Manuf. 2023, 34, 1183–1201.
7. Dai, Y.; Liu, C.; Wang, X.; Zhan, M.; Li, L.; Liu, Y.; He, C.; Wang, Q. Effect of build orientation and heat treatment on the microstructure, deformation behavior, and mechanical properties of selective laser melted 17-4 PH stainless steel. Mater. Sci. Eng. A 2025, 945, 149053.
8. Dębkowski, R. Experimental Studies of Heat Dissipation by a Stream of Dressing Products during Dry Dressing of Conventional Ceramic Grinding Wheels. J. Manuf. Process. 2018, 35, 735–745.
9. Zhou, X.; Tao, C.; Liang, X.; Liu, Z.; Li, H. Design and Mechanical Properties of Maximum Bulk Modulus Microstructures Based on a Smooth Topology with Grid Point Density. Aerospace 2024, 11, 145.
10. Di Santo, M.C.; Alaimo, A.; Domínguez Rubio, A.P.; De Matteo, R.; Pérez, O.E. Biocompatibility analysis of high molecular weight chitosan obtained from Pleoticus muelleri shrimps. Evaluation in prokaryotic and eukaryotic cells. Biochem. Biophys. Rep. 2020, 24, 100842.
11. Wang, H.; Chen, Z.; Kozinets, G.; Kozinets, P.; Markov, A.; Cao, P. Multi-strategy improved snake optimization algorithm for predicting the ice melting rate of a thermal coring bit. Int. J. Heat Mass. Transf. 2025, 252, 127491.
12. Fu, S.; Li, K.; Huang, H.; Ma, C.; Fan, Q.; Zhu, Y. Red-billed blue magpie optimizer: A novel metaheuristic algorithm for 2D/3D UAV path planning and engineering design problems. Artif. Intell. Rev. 2024, 57, 134.
13. Li, J.; Ong, Y.C.; Muhamad, W.M.W. Optimization Design of Injection Mold Conformal Cooling Channel for Improving Cooling Rate. Processes 2024, 12, 1232.
14. Cho, J.; Kim, E.; Kim, J.H.; Lee, C.-Y.; Cho, J.Y. Enhancement of Energy Absorption Capability of 3D Printed Ti-6Al-4V BCC Lattice Structures by Adding Auxiliary Struts. Materials 2025, 18, 732.
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