Výsledky vyhledávání - "Energy-management strategy"

Akademický článek

Energy Management Strategy for a Hybrid Power System for Ocean Engineering Vessels Based on an Improved Particle Swarm Optimisation Algorithm

Autor: Liu Kai, Zeng Xiangming, Yan Guohua

Publikováno v: Polish Maritime Research, Vol 31, Iss 4, Pp 100-110 (2024)

The maritime industry, a major contributor to carbon emissions, is under increasing environmental pressure due to global climate change. This study presents an innovative energy management strategy for hybrid power systems in ocean engineering vessel

Externí odkaz: https://doaj.org/article/c846cf4f766d4f3a87f5f2c85c0d2926

Zobrazit plný text záznamu

Akademický článek

Energy management strategy for fuel cell hybrid tractor considering demand power frequency characteristic compensation

Autor: Mingzhu Zhang, Xianzhe Li, Dongyan Han, Lianfeng Shang, Liyou Xu

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)

Abstract The application of fuel cell tractors is expected to drive technological upgrades and sustainable development in agricultural machinery. However, fuel cell hybrid systems face issues such as slow dynamic response, low efficiency, and short l

Externí odkaz: https://doaj.org/article/de948b54898a48c68d687c0df3352ff0

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Energy management strategy of fuel cell electric vehicle based on work condition recognition

Autor: ZHANG Zelong, HUANGFU Yigeng, WEI Jiang

Publikováno v: Xibei Gongye Daxue Xuebao, Vol 42, Iss 4, Pp 683-688 (2024)

To reduce hydrogen consumption in fuel cell electric vehicles, mitigate power fluctuations, and maintain the battery system's state of charge, a novel transition process recognition method based on work condition recognition framework of energy manag

Externí odkaz: https://doaj.org/article/60550410994d491db6bbcdb1f9c0b2c4

Zobrazit plný text záznamu

Akademický článek

Adaptive fuzzy energy management strategy for range‐extended electric vehicles integrated with deep learning

Autor: Jinquan Nie, Chen Chen, Changyin Wei, Ao Wang, Yuan Liu

Publikováno v: Energy Science & Engineering, Vol 12, Iss 5, Pp 2164-2179 (2024)

Abstract A novel framework for adaptive energy management, rooted in deep learning principles, is proposed to minimize fuel consumption in extended‐range electric vehicles amidst intricate driving scenarios. This innovative approach integrates a lo

Externí odkaz: https://doaj.org/article/74e5e496356a4afa9fe254a281d193d5

Zobrazit plný text záznamu

Akademický článek

Reinforcement Learning-Based Energy Management for Hybrid Power Systems: State-of-the-Art Survey, Review, and Perspectives

Autor: Xiaolin Tang, Jiaxin Chen, Yechen Qin, Teng Liu, Kai Yang, Amir Khajepour, Shen Li

Publikováno v: Chinese Journal of Mechanical Engineering, Vol 37, Iss 1, Pp 1-25 (2024)

Abstract The new energy vehicle plays a crucial role in green transportation, and the energy management strategy of hybrid power systems is essential for ensuring energy-efficient driving. This paper presents a state-of-the-art survey and review of r

Externí odkaz: https://doaj.org/article/f22a0c3debce4650ac8d9c0f44214652

Zobrazit plný text záznamu

Akademický článek

Microgrid energy management strategy considering source-load forecast error

Autor: Kaikai Zhang, Guibin Zou, Jinliang Zhang, Houlei Li, Yazhong Sun, Guoliang Li

Publikováno v: International Journal of Electrical Power & Energy Systems, Vol 164, Iss , Pp 110372- (2025)

Hybrid energy storage system (HESS) can stabilize renewable energy power generation, but unreasonable energy storage power distribution and photovoltaic-load forecast errors will affect the economic benefits of the whole system. Aiming at the microgr

Externí odkaz: https://doaj.org/article/589bf074f2aa4b9ea3b02465c9d02c00

Zobrazit plný text záznamu