State of charge and state of health estimation for lithium-ion battery through dual sliding mode observer based on AMESim-Simulink co-simulation

Multi-time-scale observer design for state-of-charge and state-of-health of a lithium-ion battery

(2016) Changfu Zou et al.   JOURNAL OF POWER SOURCES

Combined State of Charge and State of Health estimation over lithium-ion battery cell cycle lifespan for electric vehicles

(2015) Yuan Zou et al.   JOURNAL OF POWER SOURCES

Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles

(2014) Wladislaw Waag et al.   JOURNAL OF POWER SOURCES

Estimation of State of Charge, Unknown Nonlinearities, and State of Health of a Lithium-Ion Battery Based on a Comprehensive Unobservable Model

(2013) Mehdi Gholizadeh et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Calendar aging of commercial graphite/LiFePO4 cell – Predicting capacity fade under time dependent storage conditions

(2013) Sébastien Grolleau et al.   JOURNAL OF POWER SOURCES

Comparison between two model-based algorithms for Li-ion battery SOC estimation in electric vehicles

(2013) Xiaosong Hu et al.   SIMULATION MODELLING PRACTICE AND THEORY

A review on the key issues for lithium-ion battery management in electric vehicles

(2012) Languang Lu et al.   JOURNAL OF POWER SOURCES

A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation

(2011) Chao Hu et al.   APPLIED ENERGY

State-of-charge prediction of batteries and battery–supercapacitor hybrids using artificial neural networks

(2010) T. Weigert et al.   JOURNAL OF POWER SOURCES

A Technique for Estimating the State of Health of Lithium Batteries Through a Dual-Sliding-Mode Observer

(2009) IL-Song Kim   IEEE TRANSACTIONS ON POWER ELECTRONICS

Predicting state of charge of lead-acid batteries for hybrid electric vehicles by extended Kalman filter

(2007) A. Vasebi et al.   ENERGY CONVERSION AND MANAGEMENT