This paper uses the coevolutionary particle swarm optimization (CPSO) method to identify
battery parameters. A parameter identification window (PIW), which has the features of a …

This paper presents an energy management architecture for small urban electric vehicles
based on hybrid energy sources and its real-time implementation. The energy management …

This paper presents a generic electrothermal model for Li-ion battery. The model is
developed with the objective to simplify the parameter identification procedure, while …

Accurate battery models are integral to the battery management system and safe operation
of electric vehicles. Few investigations have been conducted on the influence of current rate …

A recurrent neural network with fractional order dynamics is used for assessing the health of
LFP rechargeable automotive batteries through incremental capacity analysis. The …

Batteries play a key role in achieving the target of universal access to reliable affordable
energy. Despite their relevant importance, many challenges remain unsolved with regard to …

The health of automotive Li-ion batteries depends on different side reactions on the
electrodes that may degrade the cells, thereby reducing their useable capacity and …

This study proposes a methodology for developing deterioration models to estimate the
remaining lifetime of a system using physics-informed learning. The approach consists of …

A new battery simulator based on a hybrid model is proposed in this paper for dynamic
discharging behavior and runtime predictions in existing electronic simulation environments …

A new method for State of Charge estimation of LiFePO4 batteries through recursive filtering
is presented. A fuzzy rule-based system is used to compute the nonlinear gain of the filter …