Multi-objective topology optimization of cold plates for enhanced battery thermal management in electric vehicles
Efficient thermal management is critical for maintaining the performance, longevity, and safety of lithium-ion batteries, particularly in electric vehicles (EVs). This paper presents a multi-objective topology optimization (TO) approach for designing cold plates in battery thermal management systems...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Case Studies in Thermal Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X25000541 |
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| author | Yijun Wang Minghao Yu Haiyang Fan Jae Dong Chung |
| author_facet | Yijun Wang Minghao Yu Haiyang Fan Jae Dong Chung |
| author_sort | Yijun Wang |
| collection | DOAJ |
| description | Efficient thermal management is critical for maintaining the performance, longevity, and safety of lithium-ion batteries, particularly in electric vehicles (EVs). This paper presents a multi-objective topology optimization (TO) approach for designing cold plates in battery thermal management systems (BTMS), with the aim of minimizing both average temperature and power dissipation. The TO model was benchmarked against two established designs: a straight-channel baseline model and the serpentine-channel cold plate used in the GM Volt EV. The optimized TO design exhibited an 82 % reduction in friction factor at Re = 100 and a 75.6 % reduction at Re = 2100, compared to the GM model. Additionally, the TO model's Performance Evaluation Criterion (PEC) was approximately 58 % higher than that of the baseline design and 15 % higher than the GM model at Re = 2100, indicating a superior balance of thermal and hydraulic performance. These results underscore the potential of topology optimization to enhance the design of cold plates for BTMS, offering improved efficiency and effectiveness for high-power applications in EVs. |
| format | Article |
| id | doaj-art-956b380b59324f3f80bd8fbff1ccd8a3 |
| institution | Kabale University |
| issn | 2214-157X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj-art-956b380b59324f3f80bd8fbff1ccd8a32025-02-02T05:27:29ZengElsevierCase Studies in Thermal Engineering2214-157X2025-02-0166105794Multi-objective topology optimization of cold plates for enhanced battery thermal management in electric vehiclesYijun Wang0Minghao Yu1Haiyang Fan2Jae Dong Chung3Department of Mechanical Engineering, Sejong University, Seoul, 5006, Republic of KoreaChina Academy of Engineering Physics, Software Center for High Performance Numerical Simulation, Beijing, 100088, ChinaYantai Research Institute of Harbin Engineering University, Yantai, 264006, ChinaDepartment of Mechanical Engineering, Sejong University, Seoul, 5006, Republic of Korea; Corresponding author.Efficient thermal management is critical for maintaining the performance, longevity, and safety of lithium-ion batteries, particularly in electric vehicles (EVs). This paper presents a multi-objective topology optimization (TO) approach for designing cold plates in battery thermal management systems (BTMS), with the aim of minimizing both average temperature and power dissipation. The TO model was benchmarked against two established designs: a straight-channel baseline model and the serpentine-channel cold plate used in the GM Volt EV. The optimized TO design exhibited an 82 % reduction in friction factor at Re = 100 and a 75.6 % reduction at Re = 2100, compared to the GM model. Additionally, the TO model's Performance Evaluation Criterion (PEC) was approximately 58 % higher than that of the baseline design and 15 % higher than the GM model at Re = 2100, indicating a superior balance of thermal and hydraulic performance. These results underscore the potential of topology optimization to enhance the design of cold plates for BTMS, offering improved efficiency and effectiveness for high-power applications in EVs.http://www.sciencedirect.com/science/article/pii/S2214157X25000541Multi objective optimizationTopology optimizationCold plateGM Volt EVBattery thermal management |
| spellingShingle | Yijun Wang Minghao Yu Haiyang Fan Jae Dong Chung Multi-objective topology optimization of cold plates for enhanced battery thermal management in electric vehicles Case Studies in Thermal Engineering Multi objective optimization Topology optimization Cold plate GM Volt EV Battery thermal management |
| title | Multi-objective topology optimization of cold plates for enhanced battery thermal management in electric vehicles |
| title_full | Multi-objective topology optimization of cold plates for enhanced battery thermal management in electric vehicles |
| title_fullStr | Multi-objective topology optimization of cold plates for enhanced battery thermal management in electric vehicles |
| title_full_unstemmed | Multi-objective topology optimization of cold plates for enhanced battery thermal management in electric vehicles |
| title_short | Multi-objective topology optimization of cold plates for enhanced battery thermal management in electric vehicles |
| title_sort | multi objective topology optimization of cold plates for enhanced battery thermal management in electric vehicles |
| topic | Multi objective optimization Topology optimization Cold plate GM Volt EV Battery thermal management |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X25000541 |
| work_keys_str_mv | AT yijunwang multiobjectivetopologyoptimizationofcoldplatesforenhancedbatterythermalmanagementinelectricvehicles AT minghaoyu multiobjectivetopologyoptimizationofcoldplatesforenhancedbatterythermalmanagementinelectricvehicles AT haiyangfan multiobjectivetopologyoptimizationofcoldplatesforenhancedbatterythermalmanagementinelectricvehicles AT jaedongchung multiobjectivetopologyoptimizationofcoldplatesforenhancedbatterythermalmanagementinelectricvehicles |