Battery energy storage systems for the new electricity market landscape: modeling, state diagnostics, management, and viability—a review

P Carrasco Ortega, P Durán Gómez… - Energies, 2023 - mdpi.com
Renewable energy penetration and distributed generation are key for the transition towards
more sustainable societies, but they impose a substantial challenge in terms of matching …

Lithium battery prognostics and health management for electric vehicle application–A perspective review

R Kumar, K Das - Sustainable Energy Technologies and Assessments, 2024 - Elsevier
Lithium-ion batteries exhibit a dynamic electrochemical system that experiences challenges
such as aging and degradation over time. The challenges vary under operational and …

State-of-charge estimation of lithium-ion battery based on second order resistor-capacitance circuit-PSO-TCN model

F Li, W Zuo, K Zhou, Q Li, Y Huang, G Zhang - Energy, 2024 - Elsevier
Accurate state-of-charge (SOC) estimation of lithium-ion battery is directly related to the
reliability, performance, and safety of the battery. In this work, the second order resistor …

State of charge estimation of lithium-ion batteries based on PSO-TCN-Attention neural network

F Li, W Zuo, K Zhou, Q Li, Y Huang - Journal of Energy Storage, 2024 - Elsevier
Lithium-ion batteries are acted as energy storage devices and widely used in many fields,
such as mobile, electric vehicles, and renewable energy sources, etc. However, their …

[HTML][HTML] An improved neural network model for battery smarter state-of-charge estimation of energy-transportation system

B Fu, W Wang, Y Li, Q Peng - Green Energy and Intelligent Transportation, 2023 - Elsevier
The safety and reliability of battery storage systems are critical to the mass roll-out of
electrified transportation and new energy generation. To achieve safe management and …

State of charge estimation for Li-ion batteries based on iterative Kalman filter with adaptive maximum correntropy criterion

Z Liu, Z Zhao, Y Qiu, B Jing, C Yang - Journal of Power Sources, 2023 - Elsevier
Nonlinear filter methods are commonly employed for model-driven based battery state of
charge (SOC) estimation because of their ability to suppress Gaussian noise. Due to the …

A novel transfer learning-based cell SOC online estimation method for a battery pack in complex application conditions

P Qin, L Zhao - IEEE Transactions on Industrial Electronics, 2023 - ieeexplore.ieee.org
The crucial function of a battery management system is to estimate the state of charge
(SOC). However, complex application conditions, such as different temperatures, aging, and …

Novel adaptive power distribution master–slave control strategy for a biogas–solar–wind battery islanded microgrid based on a microturbine

G Wang, Y Song, S Cao, J Duan - Electric Power Systems Research, 2023 - Elsevier
As many countries increase their investment in the field of renewable energy, technological
research and development has increased on establishing biogas–solar–wind battery …

A robust method for state of charge estimation of lithium-ion batteries using adaptive nonlinear neural observer

Y Shen - Journal of Energy Storage, 2023 - Elsevier
To ensure the safety and functionality, it is crucial to evaluate the state of battery system in
electric vehicles. Describing battery dynamic characteristic with a combined state space …

A hybrid data-driven method optimized by physical rules for online state collaborative estimation of lithium-ion batteries

Y Zhang, P Gu, B Duan, C Zhang - Energy, 2024 - Elsevier
Accurate online estimation of state of charge (SOC) and state of health (SOH) is crucial for
safe operation and reasonable planning of battery management system (BMS). However …