A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems

Y Wang, J Tian, Z Sun, L Wang, R Xu, M Li… - … and Sustainable Energy …, 2020 - Elsevier
With the rapid development of new energy electric vehicles and smart grids, the demand for
batteries is increasing. The battery management system (BMS) plays a crucial role in the …

Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications

S Yang, C Zhang, J Jiang, W Zhang, L Zhang… - Journal of Cleaner …, 2021 - Elsevier
Abstract State-of-health (SOH) monitoring of lithium-ion batteries plays a key role in the
reliable and safe operation of battery systems. Influenced by multiple factors, SOH is an …

Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends

H Dai, B Jiang, X Hu, X Lin, X Wei, M Pecht - Renewable and Sustainable …, 2021 - Elsevier
Lithium-ion batteries are promising energy storage devices for electric vehicles and
renewable energy systems. However, due to complex electrochemical processes, potential …

State estimation for advanced battery management: Key challenges and future trends

X Hu, F Feng, K Liu, L Zhang, J Xie, B Liu - Renewable and Sustainable …, 2019 - Elsevier
Batteries are presently pervasive in portable electronics, electrified vehicles, and renewable
energy storage. These indispensable engineering applications are all safety-critical and …

Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries

P Shrivastava, TK Soon, MYIB Idris… - … and Sustainable Energy …, 2019 - Elsevier
Carbon impression and the growing reliance on fossil fuels are two unique concerns for
world emission regulatory agencies. These issues have placed electric vehicles (EVs) …

Combined state of charge and state of energy estimation of lithium-ion battery using dual forgetting factor-based adaptive extended Kalman filter for electric vehicle …

P Shrivastava, TK Soon, MYIB Idris… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With the increasing demand for Lithium-ion batteries in an electric vehicle (EV), it is always
crucial to develop a highly accurate and low-cost state estimation method for the battery …

A comprehensive review of available battery datasets, RUL prediction approaches, and advanced battery management

SA Hasib, S Islam, RK Chakrabortty, MJ Ryan… - Ieee …, 2021 - ieeexplore.ieee.org
Battery ensures power solutions for many necessary portable devices such as electric
vehicles, mobiles, and laptops. Owing to the rapid growth of Li-ion battery users, unwanted …

Prediction of state of health and remaining useful life of lithium-ion battery using graph convolutional network with dual attention mechanisms

Y Wei, D Wu - Reliability Engineering & System Safety, 2023 - Elsevier
Prediction of state-of-health and remaining useful life is crucial to the safety of lithium-ion
batteries. Existing state-of-health and remaining useful life prediction methods are not …

Review on technological advancement of lithium-ion battery states estimation methods for electric vehicle applications

P Shrivastava, PA Naidu, S Sharma… - Journal of Energy …, 2023 - Elsevier
Due to the dynamic and non-linear behavior of lithium-ion battery (LIB) states, the accuracy
of state estimation proportionally impacts the performance of the battery management …

Towards health-aware energy management strategies in fuel cell hybrid electric vehicles: A review

M Kandidayeni, JP Trovão, M Soleymani… - International Journal of …, 2022 - Elsevier
An energy management strategy (EMS) is responsible for distributing the power between the
electrochemical power sources of a fuel cell hybrid electric vehicle (FCHEV) with a view to …