Physics-based battery SOC estimation methods: Recent advances and future perspectives
The reliable prediction of state of charge (SOC) is one of the vital functions of advanced
battery management system (BMS), which has great significance towards safe operation of …
battery management system (BMS), which has great significance towards safe operation of …
A continuum of physics-based lithium-ion battery models reviewed
Physics-based electrochemical battery models derived from porous electrode theory are a
very powerful tool for understanding lithium-ion batteries, as well as for improving their …
very powerful tool for understanding lithium-ion batteries, as well as for improving their …
The challenge and opportunity of battery lifetime prediction from field data
Accurate battery life prediction is a critical part of the business case for electric vehicles,
stationary energy storage, and nascent applications such as electric aircraft. Existing …
stationary energy storage, and nascent applications such as electric aircraft. Existing …
Electrochemical modeling and parameterization towards control-oriented management of lithium-ion batteries
Battery management systems based on electrochemical models could achieve more
accurate state estimations and efficient battery controls with access to cell unmeasurable …
accurate state estimations and efficient battery controls with access to cell unmeasurable …
A critical look at coulomb counting approach for state of charge estimation in batteries
In this paper, we consider the problem of state-of-charge estimation for rechargeable
batteries. Coulomb counting is a well-known method for estimating the state of charge, and it …
batteries. Coulomb counting is a well-known method for estimating the state of charge, and it …
State of health estimation for Li-ion battery via partial incremental capacity analysis based on support vector regression
Precise battery capacity estimation and monitoring are of extreme importance for the future
intelligent battery management system. The primary technical issues result from the absence …
intelligent battery management system. The primary technical issues result from the absence …
A novel charged state prediction method of the lithium ion battery packs based on the composite equivalent modeling and improved splice Kalman filtering algorithm
S Wang, C Fernandez, C Yu, Y Fan, W Cao… - Journal of power …, 2020 - Elsevier
As the unscented Kalman filtering algorithm is sensitive to the battery model and susceptible
to the uncertain noise interference, an improved iterate calculation method is proposed to …
to the uncertain noise interference, an improved iterate calculation method is proposed to …
Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries
Accurate on-board capacity estimation is of critical importance in lithium-ion battery
applications. Battery charging/discharging often occurs under a constant current load, and …
applications. Battery charging/discharging often occurs under a constant current load, and …
Battery aging assessment for real-world electric buses based on incremental capacity analysis and radial basis function neural network
Accurate battery aging prediction is essential for ensuring efficient, reliable, and safe
operation of battery systems in electric vehicle application. This article presents a novel …
operation of battery systems in electric vehicle application. This article presents a novel …
[HTML][HTML] Cracking predictions of lithium-ion battery electrodes by X-ray computed tomography and modelling
Fracture of lithium-ion battery electrodes is found to contribute to capacity fade and reduce
the lifespan of a battery. Traditional fracture models for batteries are restricted to …
the lifespan of a battery. Traditional fracture models for batteries are restricted to …