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Heat-generation–dissipation-decoupled battery thermal modeling across multiple cooling boundaries: A physics-constrained transfer learning framework
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DOI：10.1016/j.est.2026.123989.png)
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Abstract
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• Physics-constrained transfer learning enables cross-boundary thermal modeling. • Quasi-adiabatic training extracts reusable battery heat-generation features. • Selective adaptation updates only boundary-dependent dissipation parameters. • Robust prediction is achieved across cooling modes and dynamic conditions.
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9.8
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10.1W
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