|
|
|
|
|
Wanwan Xu, Huiying Cao, Xingyu Lin, Fuchun Shu, Jialu Du, Junzhou Wang and Junjie Tang
The rapid development of the electric vehicle industry produces large amounts of retired power lithium-ion batteries, thus resulting in the echelon utilization technology of such retired batteries becoming a research hotspot in the field of renewable ene...
ver más
|
|
|
|
|
|
|
|
|
Xiaoyu Liu and Xiang Zhang
In order to enhance the accuracy of the traditional extended Kalman filter (EKF) algorithm in the estimation of the state of charge (SoC) of power batteries, we first derived the state space equation and measurement equation of lithium power batteries ba...
ver más
|
|
|
|
|
|
|
|
|
Richard Bustos, S. Andrew Gadsden, Mohammad Al-Shabi and Shohel Mahmud
To ensure reliable operation of electrical systems, batteries require robust battery monitoring systems (BMSs). A BMS?s main task is to accurately estimate a battery?s available power, referred to as the state of charge (SOC). Unfortunately, the SOC cann...
ver más
|
|
|
|
|
|
|
|
|
Min Young Yoo, Jung Heon Lee, Joo-Ho Choi, Jae Sung Huh and Woosuk Sung
This paper proposes a framework for accurately estimating the state-of-charge (SOC) and current sensor bias, with the aim of integrating it into urban air mobility (UAM) with hybrid propulsion. Considering the heightened safety concerns in an airborne en...
ver más
|
|
|
|
|
|
|
|
|
Yuchao Wu, Sneha Sundaresan and Balakumar Balasingam
This paper presents a systematic approach to extract electrical equivalent circuit model (ECM) parameters of the Li-ion battery (LIB) based on electrochemical impedance spectroscopy (EIS). Particularly, the proposed approach is suitable to practical appl...
ver más
|
|
|
|