Improved wild horse optimizer with deep learning enabled battery management system for internet of things based hybrid electric vehicles
P Vasanthkumar, AR Revathi, GR Devi… - Sustainable Energy …, 2022 - Elsevier
Abstract Internet of Things (IoT) become an emergent platform in wireless technologies in
design of electric vehicles (EVs) and hybrid electric vehicles (HEVs). Dynamic energy …
design of electric vehicles (EVs) and hybrid electric vehicles (HEVs). Dynamic energy …
Deep learning enabled state of charge, state of health and remaining useful life estimation for smart battery management system: Methods, implementations, issues …
State of Charge (SOC), state of health (SOH), and remaining useful life (RUL) are the crucial
indexes used in the assessment of electric vehicle (EV) battery management systems (BMS) …
indexes used in the assessment of electric vehicle (EV) battery management systems (BMS) …
Prediction of the battery state using the digital twin framework based on the battery management system
Electric Vehicles (EVs) reliance on batteries, which currently have lower energy and power
densities than liquid fuels and are prone to aging and performance degradation over time …
densities than liquid fuels and are prone to aging and performance degradation over time …
Intelligent SOX estimation for automotive battery management systems: state-of-the-art deep learning approaches, open issues, and future research opportunities
Real-time battery SOX estimation including the state of charge (SOC), state of energy (SOE),
and state of health (SOH) is the crucial evaluation indicator to assess the performance of …
and state of health (SOH) is the crucial evaluation indicator to assess the performance of …
[HTML][HTML] Hybrid deep learning model for efficient state of charge estimation of Li-ion batteries in electric vehicles
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) …
vehicles (EVs). This work proposes a hybrid multi-layer deep neural network (HMDNN) …
Smart battery management technology in electric vehicle applications: analytical and technical assessment toward emerging future directions
Electric vehicles (EVs) have received widespread attention in the automotive industry as the
most promising solution for lowering CO2 emissions and mitigating worldwide …
most promising solution for lowering CO2 emissions and mitigating worldwide …
Enhancing battery management for HEVs and EVs: A hybrid approach for parameter identification and voltage estimation in lithium-ion battery models
N Khosravi, M Dowlatabadi, MB Abdelghany… - Applied Energy, 2024 - Elsevier
In recent years, batteries have evolved increasingly overall in numerous applications.
Among batteries, LIBs are the most advantageous technology because of their raised power …
Among batteries, LIBs are the most advantageous technology because of their raised power …
Battery management, key technologies, methods, issues, and future trends of electric vehicles: A pathway toward achieving sustainable development goals
Recently, electric vehicle (EV) technology has received massive attention worldwide due to
its improved performance efficiency and significant contributions to addressing carbon …
its improved performance efficiency and significant contributions to addressing carbon …
A machine learning-based battery management system for state-of-charge prediction and state-of-health estimation for unmanned aerial vehicles
Unmanned aerial vehicles (UAVs) are becoming more popular as they start to be utilized in
many applications, such as surveillance, agriculture, and military. However, due to their …
many applications, such as surveillance, agriculture, and military. However, due to their …
Battery health-aware and naturalistic data-driven energy management for hybrid electric bus based on TD3 deep reinforcement learning algorithm
Energy management is critical to reduce energy consumption and extend the service life of
hybrid power systems. This article proposes an energy management strategy based on …
hybrid power systems. This article proposes an energy management strategy based on …
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