In the recent era, Electric Vehicles (EVs) has been emerged as the top concern in the
automobile sector because of their eco-friendly nature. The application of Lithium-ion …

Recently, electric vehicles have gained enormous popularity due to their performance and
efficiency. The investment in developing this new technology is justified by the increased …

When the deep learning model is applied to estimate battery state of charge (SOC), the
information inside the training set cannot be leveraged thoroughly, which would cause poor …

State of charge (SoC) estimation is critical for the safe and efficient operation of electric
vehicles (EVs). This work proposes a hybrid multi-layer deep neural network (HMDNN) …

Accurately estimating the state of charge (SOC) of lithium-ion batteries by the battery
management system (BMS) is crucial for safe electric vehicle (EV) operations. This paper …

Due to their high energy density and minimal emissions, lithium-ion batteries are frequently
employed in electric vehicles (EVs). Accurate estimation of the micro-parameters, state of …

The consistency of lithium-ion battery packs is extremely important to prolong battery life,
maximize battery capacity and ensure safety operation in electric vehicles. In this paper, a …

Due to the high nonlinearities and unstable working conditions, accurately estimating the
state of charge (SOC) by the battery management system (BMS) is a major challenge in …

Building an accurate battery model and realizing a high-precision state of charge (SOC)
estimation is the key to ensuring the safe and efficient operation of electric vehicles. In this …

Safe and reliable operations of lithium-ion batteries in electric vehicles (EVs), etc., highly
depend on the accurate state of charge (SOC) estimated by the battery management system …