This paper presents an application of dynamically driven recurrent networks (DDRNs) in
online electric vehicle (EV) battery analysis. In this paper, a nonlinear autoregressive with …

Electric powertrain used in electric vehicles (EVs), which is constituted of a motor,
transmission unit, inverter, battery packs, and so on, is a highly integrated system. Its …

As one of the bottleneck technologies of electric vehicles (EVs), the battery hosts complex
and hardly observable internal chemical reactions. Therefore, a precise mathematical model …

This paper presents an intelligent state of charge (SOC) and state of health (SOH) estimation
method for lithium-ion batteries using an input time-delayed neural network. Unlike other …

Supercapacitors are increasingly applied to the field of electric vehicles. Although the state
of charge (SOC) directly shows the remaining capacity of supercapacitors in an energy …

State‐of‐Charge (SOC) estimation is one of the fundamental functions undertaken by
Battery Management System (BMS) in an Electric Vehicle (EV) to assess the residual service …

In this paper combines the artificial neural network (ANN) method and the internal resistance
measuring method, which is designed for the lithium-ion battery state of charge (SOC) …

Battery Management System (BMS) is a type of an electronic regulator used to protect and
monitor the battery, estimating the state and finally indicating it to the users. Precise …

Designing a robust estimator to estimate the charge level of lithium-ion batteries has been
one of the important challenges for researchers because the disturbances and uncertainties …

The chapter introduces the reader to the state-of-the-art battery technologies currently
available on the commercial scale. Two types of battery are generally used, batteries that …