Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Laijin Luo"'
Publikováno v:
Green Energy and Intelligent Transportation, Vol 2, Iss 5, Pp 100108- (2023)
In intelligent lithium-ion battery management, the state of health (SOH) of battery is essential for the batteries’ running in electric vehicles. Popularly, the battery SOH is estimated by using suitable features and data-driven methods. However, i
Externí odkaz:
https://doaj.org/article/c95ad60fd6be426ca742a8eb3831c41d
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2023 (2023)
The precise estimation of the state of health (SOH) for lithium-ion batteries (LIBs) is one of the core problems for battery management systems. To address the problem that it is difficult to accurately evaluate SOH because of the LIB capacity regene
Externí odkaz:
https://doaj.org/article/8e46148804c342209592b92d0af48637
Publikováno v:
World Electric Vehicle Journal, Vol 14, Iss 7, p 188 (2023)
The state of health (SOH) of a lithium ion battery is critical to the safe operation of such batteries in electric vehicles (EVs). However, the regeneration phenomenon of battery capacity has a significant impact on the accuracy of SOH estimation. To
Externí odkaz:
https://doaj.org/article/fa9a4453bb644d759bda869ec340b1bd
Publikováno v:
Batteries, Vol 9, Iss 6, p 323 (2023)
To safeguard the security and dependability of battery management systems (BMS), it is essential to provide reliable forecasts of battery capacity and remaining useful life (RUL). However, most of the current prediction methods use the measurement da
Externí odkaz:
https://doaj.org/article/3f5dd4e301d44147b91c3f69de0fc9de
Publikováno v:
World Electric Vehicle Journal, Vol 13, Iss 8, p 148 (2022)
An accurate state-of-health (SOH) estimation is vital to guarantee the safety and reliability of a lithium-ion battery management system. In application, the electrical vehicles generally start charging when the battery is at a non-zero state of char
Externí odkaz:
https://doaj.org/article/94269e8aac43404db9ea763160fe6e61
Publikováno v:
Batteries; Volume 9; Issue 6; Pages: 323
To safeguard the security and dependability of battery management systems (BMS), it is essential to provide reliable forecasts of battery capacity and remaining useful life (RUL). However, most of the current prediction methods use the measurement da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::af18b3cb817df57c99a5ec353c3bdaf8