[HTML][HTML] A critical review of improved deep convolutional neural network for multi-timescale state prediction of lithium-ion batteries
Lithium-ion batteries are widely used as effective energy storage and have become the main
component of power supply systems. Accurate battery state prediction is key to ensuring …
component of power supply systems. Accurate battery state prediction is key to ensuring …
[HTML][HTML] Review of “grey box” lifetime modeling for lithium-ion battery: Combining physics and data-driven methods
Lithium-ion batteries are a popular choice for a wide range of energy storage system
applications. The current motivation to improve the robustness of lithium-ion battery …
applications. The current motivation to improve the robustness of lithium-ion battery …
Optimized multi-hidden layer long short-term memory modeling and suboptimal fading extended Kalman filtering strategies for the synthetic state of charge estimation …
Y Xie, S Wang, G Zhang, Y Fan, C Fernandez… - Applied Energy, 2023 - Elsevier
With the demand for high-endurance lithium-ion batteries in new energy vehicles,
communication and portable devices, high energy density lithium-ion batteries have become …
communication and portable devices, high energy density lithium-ion batteries have become …
An improvement of equivalent circuit model for state of health estimation of lithium-ion batteries based on mid-frequency and low-frequency electrochemical …
Electrochemical impedance spectroscopy (EIS) is a non-invasive, information-rich
measurement method. The biggest advantage is that it is possible to identify and analyze the …
measurement method. The biggest advantage is that it is possible to identify and analyze the …
Review on state of charge estimation techniques of lithium-ion batteries: A control-oriented approach
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 …
regard, lithium-ion batteries have proven effective as an energy storage option. To optimize …
[HTML][HTML] Nonlinear extension of battery constrained predictive charging control with transmission of Jacobian matrix
Battery charging operation limits can be considered systematically in the optimal
constrained control framework of model predictive control (MPC). Hence, MPC-based …
constrained control framework of model predictive control (MPC). Hence, MPC-based …
A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures
P Takyi-Aninakwa, S Wang, H Zhang, X Yang… - Energy, 2023 - Elsevier
Accurately estimating the state of charge (SOC) of lithium-ion batteries by the battery
management system (BMS) is crucial for safe electric vehicle (EV) operations. This paper …
management system (BMS) is crucial for safe electric vehicle (EV) operations. This paper …
[HTML][HTML] A novel battery abnormality detection method using interpretable Autoencoder
X Zhang, P Liu, N Lin, Z Zhang, Z Wang - Applied Energy, 2023 - Elsevier
The abnormality detection of lithium-ion battery pack is crucial to ensure the safety of electric
vehicles (EVs). However, the dynamic and complex operating conditions of EVs making it …
vehicles (EVs). However, the dynamic and complex operating conditions of EVs making it …
A new SOH estimation method for Lithium-ion batteries based on model-data-fusion
A new method for the estimation of the state-of-health (SOH) of lithium-ion batteries (LIBs) is
proposed. The approach combines a LIB equivalent circuit model (ECM) and a deep …
proposed. The approach combines a LIB equivalent circuit model (ECM) and a deep …
Health-aware multi-stage charging strategy for lithium-ion batteries based on whale optimization algorithm
Lithium-ion batteries are widely used in electronics, new energy electric vehicles and energy
storage plants. They have become ideal energy storage devices for their excellent …
storage plants. They have become ideal energy storage devices for their excellent …