A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems
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 …
batteries is increasing. The battery management system (BMS) plays a crucial role in the …
[HTML][HTML] A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery
Lithium-ion batteries are used in a wide range of applications including energy storage
systems, electric transportations, and portable electronic devices. Accurately obtaining the …
systems, electric transportations, and portable electronic devices. Accurately obtaining the …
Concept review of a cloud-based smart battery management system for lithium-ion batteries: Feasibility, logistics, and functionality
Energy storage plays an important role in the adoption of renewable energy to help solve
climate change problems. Lithium-ion batteries (LIBs) are an excellent solution for energy …
climate change problems. Lithium-ion batteries (LIBs) are an excellent solution for energy …
Data-driven battery state of health estimation based on random partial charging data
The rapid development of battery technology has promoted the deployment of electric
vehicles (EVs). To ensure the healthy and sustainable development of EVs, it is urgent to …
vehicles (EVs). To ensure the healthy and sustainable development of EVs, it is urgent to …
A review on battery modelling techniques
The growing demand for electrical energy and the impact of global warming leads to a
paradigm shift in the power sector. This has led to the increased usage of renewable energy …
paradigm shift in the power sector. This has led to the increased usage of renewable energy …
Data-driven state of charge estimation for lithium-ion battery packs based on Gaussian process regression
Since a battery pack consists of hundreds of cells in series and parallel, inconsistencies
between cells make it difficult to create an explicit model to simulate its behaviors effectively …
between cells make it difficult to create an explicit model to simulate its behaviors effectively …
Prognostics of battery capacity based on charging data and data-driven methods for on-road vehicles
The large-scale application of lithium-ion batteries makes it urgent to accurately predict their
capacity degradation so as to achieve timely maintenance and second-life utilization. For on …
capacity degradation so as to achieve timely maintenance and second-life utilization. For on …
Co-estimating the state of charge and health of lithium batteries through combining a minimalist electrochemical model and an equivalent circuit model
Z Xu, J Wang, PD Lund, Y Zhang - Energy, 2022 - Elsevier
Accurate estimation of the state of charge (SOC) and state of health (SOH) is a fundamental
requirement for the management system of a lithium-ion battery, but also important to the …
requirement for the management system of a lithium-ion battery, but also important to the …
A brief review on key technologies in the battery management system of electric vehicles
Batteries have been widely applied in many high-power applications, such as electric
vehicles (EVs) and hybrid electric vehicles, where a suitable battery management system …
vehicles (EVs) and hybrid electric vehicles, where a suitable battery management system …
Long short-term memory networks for accurate state-of-charge estimation of Li-ion batteries
State of charge (SOC) estimation is critical to the safe and reliable operation of Li-ion battery
packs, which nowadays are becoming increasingly used in electric vehicles (EVs), Hybrid …
packs, which nowadays are becoming increasingly used in electric vehicles (EVs), Hybrid …