Abstract
In this study. we propose a Topology Optimization approach for comparative analysis of five new battery cooling plate designs with conventional straight channel design, considering three different performance parameters: heat transfer, mean temperature, and power loss in fluid flow. A three-dimensional computational fluid dynamics model was established to compare the performance of the topology optimized designs under identical boundary conditions. Combining more than two objectives via multi-objective optimization model resulted enhanced heat transfer without causing elevated temperatures in the solid structure of the cold plate design. The results showed that the topology-optimized cold plate design obtained by prioritizing heat transfer reduced the maximum temperature by 1.246 [K], mean temperature by 1.709 [K], and pressure drop by 16.10%, with 4.24% increase in sensible heat transfer. Furthermore, the study examined the impact of coolants by comparing the performance of CNT-Al₂O₃ (0.1% w/w) hybrid water-based nanofluid and pure water based coolant in terms of decrease in temperature and percentage change in total sensible heat transferred to the coolant. The results show 2.459 [K] decrease in max temperature and 2.172 [K] reduction in mean temperature, with less than 2.19% reduction in heat transfer.
| Original language | English |
|---|---|
| Pages (from-to) | 2680-2697 |
| Number of pages | 18 |
| Journal | International Journal of Green Energy |
| Volume | 22 |
| Issue number | 12 |
| DOIs | |
| Publication status | Accepted/In press - 2025 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Battery thermal management system
- cold plate design
- hybrid nanofluids
- liquid cooling
- multidisciplinary design optimization
- multiphysics models
- topology optimization
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