A comprehensive review on the state of charge estimation for lithium‐ion battery based on neural network
Implementing carbon neutrality and emission peak policies requires a high‐level electric
vehicle field. Lithium‐ion batteries have been considered an essential component of electric …
vehicle field. Lithium‐ion batteries have been considered an essential component of electric …
Towards the future of smart electric vehicles: Digital twin technology
Worldwide, transportation accounts for 18% of global carbon dioxide emissions (as of 2019).
In order to battle the impending threat of climate change, consumers and industry must …
In order to battle the impending threat of climate change, consumers and industry must …
SOC estimation for lithium-ion battery using the LSTM-RNN with extended input and constrained output
J Chen, Y Zhang, J Wu, W Cheng, Q Zhu - Energy, 2023 - Elsevier
The state of charge (SOC) estimation of lithium-ion battery (LIB) based on recurrent neural
network (RNN) has been a popular research due to its suitability for time series data …
network (RNN) has been a popular research due to its suitability for time series data …
Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook
Globally, the research on battery technology in electric vehicle applications is advancing
tremendously to address the carbon emissions and global warming issues. The …
tremendously to address the carbon emissions and global warming issues. The …
Key challenges for a large-scale development of battery electric vehicles: A comprehensive review
Nowadays, several countries have adopted an energy transition policy to achieve carbon
targets and decarbonize transport while improving their electricity mixes. Electric vehicles …
targets and decarbonize transport while improving their electricity mixes. Electric vehicles …
[HTML][HTML] Lithium-ion battery data and where to find it
Lithium-ion batteries are fuelling the advancing renewable-energy based world. At the core
of transformational developments in battery design, modelling and management is data. In …
of transformational developments in battery design, modelling and management is data. In …
Modeling, state of charge estimation, and charging of lithium‐ion battery in electric vehicle: a review
M Adaikkappan… - International Journal of …, 2022 - Wiley Online Library
Extension of driving range and battery run time optimization are necessary key points in the
modeling of Electric Vehicle (EV). In this view, Battery Management System (BMS) plays a …
modeling of Electric Vehicle (EV). In this view, Battery Management System (BMS) plays a …
[HTML][HTML] A review of machine learning state-of-charge and state-of-health estimation algorithms for lithium-ion batteries
Z Ren, C Du - Energy Reports, 2023 - Elsevier
Vehicle electrification has been proven to be an efficient way to reduce carbon dioxide
emissions and solve the energy crisis. Lithium-ion batteries (LiBs) are considered the …
emissions and solve the energy crisis. Lithium-ion batteries (LiBs) are considered the …
Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends
Global carbon emissions caused by fossil fuels and diesel-based vehicles have urged the
necessity to move toward the development of electric vehicles and related battery storage …
necessity to move toward the development of electric vehicles and related battery storage …
State of charge estimation for lithium-ion batteries using model-based and data-driven methods: A review
Lithium-ion battery is an appropriate choice for electric vehicle (EV) due to its promising
features of high voltage, high energy density, low self-discharge and long lifecycles. The …
features of high voltage, high energy density, low self-discharge and long lifecycles. The …