Zinc ion batteries using metallic zinc as the negative electrode have gained considerable
interest for electrochemical energy storage, whose development is crucial for the adoption of …

The accurate identification of battery model parameters is critical to the development of the
battery management system (BMS). For large capacity Li-ion batteries, different internal …

This work investigates the modeling of lithium-ion batteries (LIBs) with a recurrent neural
network (RNN), rather than with an equivalent circuit or similar type model as is typically …

To examine different battery modeling approaches, three equivalent circuit battery model
types and two battery model parametrization methods are investigated in this paper. A …

The value and interpretation of dynamic electrochemical impedance spectroscopy (DEIS)
during the charging and discharging of lithium-ion batteries is examined using the Doyle …

Understanding and accurately determining battery cell properties is crucial for assessing
battery capabilities. Electrochemical impedance spectroscopy (EIS) is commonly employed …

In embedded impedance spectroscopy, when the available dc/dc converter in power
systems is used to generate excitation signals, a bias current is typically present, leading to …

This paper presents a practical usability investigation of recurrent neural networks (RNNs) to
determine the best-suited machine learning method for estimating electric vehicle (EV) …

Electrochemical impedance spectroscopy (EIS) is a well-known technique that has been
employed on various electrochemical cells in order to obtain their impedance spectra …

Engine start-stop systems have been widely adopted for internal combustion engine
passenger vehicles, with low voltage 12 V systems currently capturing most of the market …