Abstract
This chapter introduces the crucial technologies for practical application of battery thermal management systems (BTMSs), including the online estimation of temperature distribution and comprehensive optimization based on digital twin technology. An accurate temperature distribution is essential for thermal controlling, but it generally necessitates significant computing resources. Therefore, a novel multilayer battery model is established to obtain the full-scale temperature from cell to pack level in a short time. On this basis, the various cooling and heating methods can be conducted. Meanwhile, to further improve the optimization efficiency, the liquid-cooling system with multichannel structure is modeled by leveraging the digital twin (DT) approach. To increase the system's cooling capacity, the optimization process is driven by a combination of the CFD model and the Gaussian process (GP) technique. The interactions between various components and the production of results for global optimization are better served by GP-based DT model in the DT space. The suggested approach and structure are anticipated to offer suggestions for the creation of a battery temperature control system.
| Original language | English |
|---|---|
| Title of host publication | Thermal Management for Batteries |
| Subtitle of host publication | From Basic Design to Advanced Simulation and Management Methods |
| Publisher | Elsevier |
| Pages | 163-205 |
| Number of pages | 43 |
| ISBN (Electronic) | 9780443190254 |
| ISBN (Print) | 9780443190261 |
| DOIs | |
| State | Published - 1 Jan 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Digital twin
- Lithium-ion batteries
- Online estimation cooling method
- Thermal modeling
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