Unveiling the performance impact of module level features on parallel-connected lithium-ion cells via explainable machine learning techniques on a full factorial design of experiments
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Elsevier BV
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Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. “Full factorial design of experiments dataset for parallel-connected lithium-ion cells imbalanced performance investigation”;Data in Brief;2024-04
2. Multi-Stage Optimal Experimental Design and Setup Strategies in Absence of System Pre-Knowledge;IEEE Access;2024
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