Creation of Digital twin of the ESS through data analytics and its tools
Health diagnostics and prognostics of ESS (Energy Storage Systems) for various applications and devices such as EVs and HEVs · Combination of AI/ML methods with physical mechanisms for the degradation analysis of ESS
Induction of factors from the aging and degradation mechanisms in the digital twin of ESS for better practical applicability and standardization
Establishment of aging and other degradation mechanisms of ESS through battery post-mortem analysis and studies.
Establishing various factors that cause damage to battery life and overcoming them through BMS using the protocols of AI/ML.
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