A novel battery state of charge estimation based on the joint unscented Kalman filter and support vector machine algorithms.
(2020)
Journal Article
XIE, F., WANG, S., XIE, Y., FERNANDEZB, C., LI, X. and ZOU, C. 2020. A novel battery state of charge estimation based on the joint unscented Kalman filter and support vector machine algorithms. International journal of electrochemical science [online], 15(8), pages 7935-7953. Available from: https://doi.org/10.20964/2020.08.83
With the development of new energy sources becoming the mainstream of energy development strategies, the role of electric vehicle-powered lithium-ion batteries in the field of automobile transportation is becoming more and more obvious. An efficient... Read More about A novel battery state of charge estimation based on the joint unscented Kalman filter and support vector machine algorithms..