Zobrazeno 1 - 10
of 1 473
pro vyhledávání: '"SoC estimation"'
Autor:
Abdelhakim Tabine, El Mehdi Laadissi, Anass Elachhab, Sohaib Bouzaid, Chouaib Ennawaoui, Abdelowahed Hajjaji
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 10, Iss , Pp 100822- (2024)
Lithium-ion batteries are essential to modern technology, requiring accurate estimation of the state of charge (SOC) for optimal performance. Traditional methods such as Coulomb Counting (CC) are ineffective in the face of temperature variations, lea
Externí odkaz:
https://doaj.org/article/82fa514e1e214fa983162ca13b60a958
Publikováno v:
Green Energy and Intelligent Transportation, Vol 3, Iss 4, Pp 100152- (2024)
The safe and efficient operation of the electric vehicle significantly depends on the accurate state-of-charge (SOC) and state-of-temperature (SOT) of Lithium-ion (Li-ion) batteries. Given the influence of cross-interference between the two states in
Externí odkaz:
https://doaj.org/article/d5497cc79f6d4054b7939e05ba5141d8
Publikováno v:
Journal of Power Sources Advances, Vol 28, Iss , Pp 100151- (2024)
State-of-the-art lithium-ion cell chemistries with pronounced open-circuit voltage hysteresis (OCV), characterised by asymmetry and directional dependence, present a challenge for estimating the state of charge (SOC). Without understanding the hyster
Externí odkaz:
https://doaj.org/article/bd158fbfafe74b708be7b906b7edb485
Autor:
Xia, Baozhou a, Ye, Min a, ⁎, Wang, Qiao b, Lian, Gaoqi c, Li, Yan d, Zhang, Binrui a, Zhang, Yong e
Publikováno v:
In Energy Reports December 2024 12:4016-4025
Autor:
Li, Fei a, Chang, Taozhen a, Li, Heng b, ⁎, He, Peinan b, He, Wei c, Huang, Zhiwu a, Wang, Jing d
Publikováno v:
In Journal of Energy Storage 15 February 2025 109
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 8, Iss , Pp 100596- (2024)
Accurate estimation of state-of-charge (SoC) is significant for monitoring the operation of LiFePO4 batteries. This paper addresses the challenges posed by the nonlinear characteristics of LiFePO4 batteries, which adversely affect the accuracy of SoC
Externí odkaz:
https://doaj.org/article/5974b93d47f547629ee3ffe24fbdab19
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 8, Iss , Pp 100578- (2024)
Nowadays, utility grid experiences significant challenges due to increased adoption of renewable energy resources (RES). The intermittency of RES is ridden by using battery energy storage (BES). The system control often aims at maximizing self-consum
Externí odkaz:
https://doaj.org/article/c0bc2fac1b3b4ae592979ea2c136b945
Publikováno v:
IEEE Access, Vol 12, Pp 165472-165481 (2024)
Improving the accuracy of state-of-charge (SoC) estimation is crucial for electric vehicles (EVs) using Lithium-Ion batteries (LiBs). This helps users reliably predict driving range and optimize the charging process, thereby extending battery life an
Externí odkaz:
https://doaj.org/article/4db5c8ae45454f39ae551c6d834b88fa
Publikováno v:
IEEE Open Journal of Industry Applications, Vol 5, Pp 43-62 (2024)
Lithium-ion battery prognostics and health management (BPHM) systems are vital to the longevity, economy, and environmental friendliness of electric vehicles and energy storage systems. Recent advancements in deep learning (DL) techniques have shown
Externí odkaz:
https://doaj.org/article/615996b0d62c46bda0a94e1a8e499ce7
Autor:
LIAN Runzhe, DONG Shufeng
Publikováno v:
电力工程技术, Vol 43, Iss 1, Pp 32-40 (2024)
Flow battery is an ideal choice for long-term and large-scale energy storage due to its advantages of numerous charge-discharge cycles, high capacity and long lifespan. However, the flow battery's complex structure poses high demands on battery contr
Externí odkaz:
https://doaj.org/article/90297410245a46feb390f186c50f201d