[HTML][HTML] A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles
With electric vehicles (EVs) being widely accepted as a clean technology to solve carbon
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …
Sorting, regrou**, and echelon utilization of the large-scale retired lithium batteries: A critical review
With the rapid development of electric vehicles, the safe and environmentally friendly
disposal of retired lithium batteries (LIBs) is becoming a serious issue. Echelon utilization of …
disposal of retired lithium batteries (LIBs) is becoming a serious issue. Echelon utilization of …
Voltage-temperature health feature extraction to improve prognostics and health management of lithium-ion batteries
Prognostics and health management (PHM) of lithium-ion batteries are important to ensure
the safety of electric vehicles. To date, there has not been an adequate method to accurately …
the safety of electric vehicles. To date, there has not been an adequate method to accurately …
State of health estimation of lithium-ion battery with automatic feature extraction and self-attention learning mechanism
Accurate state of health (SOH) estimation is significantly important to ensure the safe and
reliable operation of lithium-ion battery. Most existing data-driven estimation methods are …
reliable operation of lithium-ion battery. Most existing data-driven estimation methods are …
A review on methods for state of health forecasting of lithium-ion batteries applicable in real-world operational conditions
The ageing of Lithium-ion batteries can be described as change of state of health (∆ SOH). It
depends on the battery's operation during charging, discharging, and rest phases. Map** …
depends on the battery's operation during charging, discharging, and rest phases. Map** …
A critical review of online battery remaining useful lifetime prediction methods
Lithium-ion batteries play an important role in our daily lives. The prediction of the remaining
service life of lithium-ion batteries has become an important issue. This article reviews the …
service life of lithium-ion batteries has become an important issue. This article reviews the …
[HTML][HTML] Data-driven state of health modelling—A review of state of the art and reflections on applications for maritime battery systems
Battery systems are becoming an increasingly attractive alternative for powering ocean
going ships, and the number of fully electric or hybrid ships relying on battery power for …
going ships, and the number of fully electric or hybrid ships relying on battery power for …
Health diagnosis for lithium-ion battery by combining partial incremental capacity and deep belief network during insufficient discharge profile
Accurate state of health estimation of lithium-ion batteries provides scientific basis for secure
operation and stepwise utilization in on-board powertrain. However, the variable discharge …
operation and stepwise utilization in on-board powertrain. However, the variable discharge …
Fault identification and quantitative diagnosis method for series-connected lithium-ion battery packs based on capacity estimation
Internal short circuit is considered as one of the general causes that may lead to battery
thermal runaway. The capacity of cells ages with the effect of working conditions. Hence …
thermal runaway. The capacity of cells ages with the effect of working conditions. Hence …
A Novel SOH Estimation Method With Attentional Feature Fusion Considering Differential Temperature Features for Lithium-Ion Batteries
Y Sun, H **e, Q Diao, H Xu, X Tan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
It is vital to accurately estimate the state of health (SOH) of lithium-ion batteries of electrical
vehicles. Despite the significant impact of temperature on the SOH, most conventional data …
vehicles. Despite the significant impact of temperature on the SOH, most conventional data …