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Academic Publication An accurate state-of-charge estimation of lithium-ion batteries based on improved particle swarm optimization-adaptive square root cubature kalman filter
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An innovative square root - untraced Kalman filtering strategy with full-parameter online identification for state of power evaluation of lithium-ion batteries
No description provided.
Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
AbstractAccurate state-of-health (SOH) estimation is critical for reliable and safe operation of lithium-ion batteries. However, reliable and stable battery SOH estimation remains challenging due t...
Next Generation of Electric Vehicles: AI-Driven Approaches for Predictive Maintenance and Battery Management
This review explores recent advancements in electric vehicles (EVs), focusing on the transformative role of artificial intelligence (AI) in battery management systems (BMSs) and system control tech...
Review of battery state estimation methods for electric vehicles - Part I: SOC estimation
No description provided.
Enhancing prediction of electron affinity and ionization energy in liquid organic electrolytes for lithium-ion batteries using machine learning
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