State of charge neural computational models for high energy density batteries in electric vehicles

Kalman filtering state of charge estimation for battery management system based on a stochastic fuzzy neural network battery model

(2011) Long Xu et al.   ENERGY CONVERSION AND MANAGEMENT

Adaptive online state-of-charge determination based on neuro-controller and neural network

(2010) Yanqing Shen   ENERGY CONVERSION AND MANAGEMENT

State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF

(2010) Mohammad Charkhgard et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Ni–MH batteries state-of-charge prediction based on immune evolutionary network

(2009) Bo Cheng et al.   ENERGY CONVERSION AND MANAGEMENT

An adaptive Kalman filtering based State of Charge combined estimator for electric vehicle battery pack

(2009) Wang Junping et al.   ENERGY CONVERSION AND MANAGEMENT

State of charge estimation using an unscented filter for high power lithium ion cells

(2009) Shriram Santhanagopalan et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

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