[HTML][HTML] Supercapacitor management system: A comprehensive review of modeling, estimation, balancing, and protection techniques

F Naseri, S Karimi, E Farjah, E Schaltz - Renewable and Sustainable …, 2022 - Elsevier
Recent advances in energy storage systems have speeded up the development of new
technologies such as electric vehicles and renewable energy systems. In this respect …

[HTML][HTML] Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms

F Naseri, S Gil, C Barbu, E Çetkin, G Yarimca… - … and Sustainable Energy …, 2023 - Elsevier
Transportation electrification has been fueled by recent advancements in the technology
and manufacturing of battery systems, but the industry yet is facing serious challenges that …

State estimation models of lithium-ion batteries for battery management system: status, challenges, and future trends

L Zhou, X Lai, B Li, Y Yao, M Yuan, J Weng, Y Zheng - Batteries, 2023 - mdpi.com
The state estimation technology of lithium-ion batteries is one of the core functions elements
of the battery management system (BMS), and it is an academic hotspot related to the …

A comprehensive review of lithium-ion batteries modeling, and state of health and remaining useful lifetime prediction

M Elmahallawy, T Elfouly, A Alouani… - Ieee …, 2022 - ieeexplore.ieee.org
According to the United States environmental protection agency (EPA), every burned gallon
of gasoline generates 8.87 Kg of CO2. The pollution created by vehicles' fuel consumption …

A novel back propagation neural network-dual extended Kalman filter method for state-of-charge and state-of-health co-estimation of lithium-ion batteries based on …

C Wang, S Wang, J Zhou, J Qiao, X Yang… - Journal of Energy Storage, 2023 - Elsevier
Abstract State-of-charge (SOC) and state-of-health (SOH) play a key role in the safety and
reliability of batteries. To improve the real-time estimation accuracy of battery state, a novel …

State of charge estimation method by using a simplified electrochemical model in deep learning framework for lithium-ion batteries

H Yu, L Zhang, W Wang, S Li, S Chen, S Yang, J Li… - Energy, 2023 - Elsevier
To ensure the secure and healthy usage of lithium-ion batteries, it is necessary to accurately
estimate the state of charge (SOC) in battery management systems. The development of …

Deep convolutional neural network based closed-loop SOC estimation for lithium-ion batteries in hierarchical scenarios

Q Wang, M Ye, M Wei, G Lian, Y Li - Energy, 2023 - Elsevier
Battery type variation and sensor measurement noise in different scenarios decrease the
accuracy and robustness of the state of charge (SOC) estimation. To develop a universal …

Review on state of charge estimation techniques of lithium-ion batteries: A control-oriented approach

N Ghaeminezhad, Q Ouyang, J Wei, Y Xue… - Journal of Energy …, 2023 - Elsevier
Energy storage has become one of the most critical issues of modern technology. In this
regard, lithium-ion batteries have proven effective as an energy storage option. To optimize …

Adaptive robust unscented Kalman filter-based state-of-charge estimation for lithium-ion batteries with multi-parameter updating

L Wang, J Ma, X Zhao, X Li, K Zhang, Z Jiao - Electrochimica Acta, 2022 - Elsevier
Abstract State-of-charge (SOC) estimation is one of the key technologies for the
development and application of battery management system (BMS). To achieve high …

[HTML][HTML] Optimal sizing of hybrid high-energy/high-power battery energy storage systems to improve battery cycle life and charging power in electric vehicle …

F Naseri, C Barbu, T Sarikurt - Journal of Energy Storage, 2022 - Elsevier
Abstract Design of the Electric Vehicle (EV) battery pack involves different requirements
related to the driving range, acceleration, fast-charging, lifetime, weight, volume, etc …