Zobrazeno 1 - 10
of 498
pro vyhledávání: '"State of health estimation"'
Publikováno v:
Energy Conversion and Economics, Vol 5, Iss 4, Pp 224-242 (2024)
Abstract Lithium‐ion battery state‐of‐health (SOH) monitoring is essential for maintaining the safety and reliability of electric vehicles and efficiency of energy storage systems. When the SOH of lithium‐ion batteries reaches the end‐of‐
Externí odkaz:
https://doaj.org/article/224b22945123474cb495fb4f891176a5
Publikováno v:
Energy and AI, Vol 17, Iss , Pp 100382- (2024)
Data-driven models for battery state estimation require extensive experimental training data, which may not be available or suitable for specific tasks like open-circuit voltage (OCV) reconstruction and subsequent state of health (SOH) estimation. Th
Externí odkaz:
https://doaj.org/article/5ba612c0174240649d439ee9f28b49d6
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5489-5511 (2024)
Abstract The accurate prediction of a lithium-ion battery’s State of Health is of critical importance for efficient battery health management. Existing data-driven estimation methodologies grapple with issues such as high model complexity and a dea
Externí odkaz:
https://doaj.org/article/d1e2e92449e444c1b3cb158d00812df5
Publikováno v:
Advances in Applied Energy, Vol 16, Iss , Pp 100188- (2024)
The widespread adoption of electric vehicles (EVs) underscores the urgent need for innovative approaches to estimate their lithium-ion batteries’ state of health (SOH), which is crucial for ensuring safety and efficiency. This study introduces SOH-
Externí odkaz:
https://doaj.org/article/353ccf4394314ef491143dcf48081ef2
Publikováno v:
IEEE Access, Vol 12, Pp 63735-63753 (2024)
Electric vehicles (EVs) have created a revolution in sustainable transportation. The number of EV users has increased significantly within a short period globally. EVs running largely on the battery source require large-capacity battery packs to hand
Externí odkaz:
https://doaj.org/article/fdfcbafc51d24af7ac70cedb43bd1aee
Publikováno v:
Journal of Power Sources Advances, Vol 26, Iss , Pp 100136- (2024)
Li-ion batteries (LIBs), thanks to high efficiencies and energy density, represent the mainstream technology to replace traditional internal combustion vehicles with electric ones. However, LIBs state of health (SoH) should be investigated to avoid f
Externí odkaz:
https://doaj.org/article/fa5d5e8916eb4edab93b303b589628b3
Publikováno v:
Sensors, Vol 24, Iss 14, p 4451 (2024)
Proton-exchange membrane fuel cells (PEMFCs) play a crucial role in the transition to sustainable energy systems. Accurately estimating the state of health (SOH) of PEMFCs under dynamic operating conditions is essential for ensuring their reliability
Externí odkaz:
https://doaj.org/article/75499a084e934ead991c043ad71c6762
Autor:
Kui Chen, Jiali Li, Kai Liu, Changshan Bai, Jiamin Zhu, Guoqiang Gao, Guangning Wu, Salah Laghrouche
Publikováno v:
Green Energy and Intelligent Transportation, Vol 3, Iss 1, Pp 100151- (2024)
Lithium-ion battery State of Health (SOH) estimation is an essential issue in battery management systems. In order to better estimate battery SOH, Extreme Learning Machine (ELM) is used to establish a model to estimate lithium-ion battery SOH. The Sw
Externí odkaz:
https://doaj.org/article/50ad32df688c423382b8dc9744089bf5
Publikováno v:
水下无人系统学报, Vol 30, Iss 5, Pp 550-557 (2022)
The algorithms currently applied to state of health(SOH) estimation require numerous data samples for training and the estimation effect is not good. To address this issue, this study proposed a least-squares support vector machine(LSSVM) algorithm b
Externí odkaz:
https://doaj.org/article/a9fe7b2257f74286a2581fd0f1a84f9a
Publikováno v:
Green Energy and Intelligent Transportation, Vol 2, Iss 3, Pp 100082- (2023)
Accurate simulation of characteristics performance and state of health (SOH) estimation for lithium-ion batteries are critical for battery management systems (BMS) in electric vehicles. Battery simplified electrochemical model (SEM) can achieve accur
Externí odkaz:
https://doaj.org/article/85f2c5e1f0b1432db560ec8a6cea08dc