Dear Editor, Lithium-ion (Li-ion) battery has become a promising source to supply and absorb energy/power for many energy-transportation applications. However, Li-ion battery capacity would inevitably degrade over time, making its related ageing prediction necessary. This letter presents effective battery calendar ageing trajectory prediction by deriving a knowledge-guided data-driven model with transfer concept. More specifically, this data-driven model is based on the support vector regression (SVR) technology. To ensure highly-accurate prognostics of battery calendar ageing trajectory under wit-nessed conditions, a knowledge-guided kernel is first developed by coupling the mechanism and empirical knowledge elements of battery storage tem...
The presence of lithium-ion batteries has been steadily growing in stationary and mobile application...
Lithium-ion batteries are increasingly ubiquitous in modern society but the degradation of lithium-i...
Background: The phenomenon of calendar ageing continues to have an impact on battery systems worldwi...
Prediction of battery calendar ageing is a key but challenging issue in the development of durable e...
Battery calendar aging prediction is of extreme importance for developing durable electric vehicles....
With the advent of sustainable and clean energy transitions, lithium-ion batteries have become one o...
This paper develops a new prediction method for the aging trajectory of lithium-ion batteries with s...
In real industrial electronic applications that involve batteries, the inevitable health degradation...
The ability to accurately predict lithium-ion battery life-time already at an early stage of battery...
Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical mod...
Accurate prediction of the remaining useful life (RUL) of lithium-ion batteries is important for bat...
Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical mod...
Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical mod...
Electric vehicles (EVs) have become the most reliable option to replace the current automotive fleet...
Lithium-ion battery state of health (SOH) accurate prediction is of great significance to ensure the...
The presence of lithium-ion batteries has been steadily growing in stationary and mobile application...
Lithium-ion batteries are increasingly ubiquitous in modern society but the degradation of lithium-i...
Background: The phenomenon of calendar ageing continues to have an impact on battery systems worldwi...
Prediction of battery calendar ageing is a key but challenging issue in the development of durable e...
Battery calendar aging prediction is of extreme importance for developing durable electric vehicles....
With the advent of sustainable and clean energy transitions, lithium-ion batteries have become one o...
This paper develops a new prediction method for the aging trajectory of lithium-ion batteries with s...
In real industrial electronic applications that involve batteries, the inevitable health degradation...
The ability to accurately predict lithium-ion battery life-time already at an early stage of battery...
Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical mod...
Accurate prediction of the remaining useful life (RUL) of lithium-ion batteries is important for bat...
Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical mod...
Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical mod...
Electric vehicles (EVs) have become the most reliable option to replace the current automotive fleet...
Lithium-ion battery state of health (SOH) accurate prediction is of great significance to ensure the...
The presence of lithium-ion batteries has been steadily growing in stationary and mobile application...
Lithium-ion batteries are increasingly ubiquitous in modern society but the degradation of lithium-i...
Background: The phenomenon of calendar ageing continues to have an impact on battery systems worldwi...