Extension of driving range and battery run time optimization are necessary key points in the
modeling of Electric Vehicle (EV). In this view, Battery Management System (BMS) plays a …

Lithium-ion batteries (LIBs) has seen widespread applications in a variety of fields like the
renewable penetration, electrified transportation, and portable electronics. A reliable battery …

This paper presents a systematic review for the most commonly used lumped-parameter
equivalent circuit model structures in lithium-ion battery energy storage applications. These …

Lithium-ion battery packs in hybrid and pure electric vehicles are always equipped with a
battery management system (BMS). The BMS consists of hardware and software for battery …

Accurate estimation of state of charge (SOC) is critical to the safe and efficient utilization of a
battery system. Model-based SOC observers have been widely used due to their high …

The second-generation hybrid and Electric Vehicles are currently leading the paradigm shift
in the automobile industry, replacing conventional diesel and gasoline-powered vehicles …

Abstract Machine learning is a specific application of artificial intelligence that allows
computers to learn and improve from data and experience via sets of algorithms, without the …

The state-of-charge (SOC) observer with online model adaption generally has high accuracy
and robustness. However, the unexpected sensing of noises is shown to cause the biased …

Plug-in hybrid electric vehicles seem to be a viable solution to improve the fuel economy of
personal transportation. At the same time, they will have a significant impact on the power …

This chapter aims at bridging the gap between chemistry scientists and electrical engineers
on electric vehicle (EV) batteries. The power and energy of electric propulsion are first …