A dynamic capacity degradation model and its applications considering varying load for a large format Li-ion battery

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A Comprehensive Review on Second-Life Batteries: Current State, Manufacturing Considerations, Applications, Impacts, Barriers & Potential Solutions, Business Strategies, and Policies (2019, background): “Empirical calendar aging and capacity fade models can also be found in [71], [72].”
The challenge and opportunity of battery lifetime prediction from field data (2021, background): “’s relatively simple model [64], compared to microseconds for an empirical aging map).”
Online State-of-Health Estimation for Li-Ion Battery Using Partial Charging Segment Based on Support Vector Machine (2019, background): “The influence of the SOH estimation error of cell on the state estimation error of battery pack is approximately linear, according to the discussions in [38], [39].”
Online state-of-health estimation for lithium-ion batteries using constant-voltage charging current analysis (2018, background): “, state-of-charge (SoC) [4,5], state-of-power (SoP) [6], and state-ofhealth (SoH) [7,8], should be monitored continuously by the battery management system (BMS).”
The Co-estimation of State of Charge, State of Health, and State of Function for Lithium-Ion Batteries in Electric Vehicles (2018, methodology): “The existing estimation approaches include the degradation model-based approaches [13]–[15], the approaches based on incremental capacity analysis (ICA) and differential voltage analysis (DVA) [16], [17], and other voltage-based approaches.”