Search: onr:"swepub:oai:research.chalmers.se:7d3fbb8c-f108-4bf4-8c9a-afb8fe49e8dc" >
A study on energy d...
A study on energy distribution strategy of electric vehicle hybrid energy storage system considering driving style based on real urban driving data
-
- Hu, Lin (author)
- Changsha University of Science and Technology
-
- Tian, Qingtao (author)
- Changsha University of Science and Technology
-
- Zou, Changfu, 1987 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
-
show more...
-
- Huang, Jing (author)
- Hunan University
-
- Ye, Yao (author)
- Changsha University of Science and Technology
-
- Wu, Xianhui (author)
- Central South University
-
show less...
-
(creator_code:org_t)
- Elsevier BV, 2022
- 2022
- English.
-
In: Renewable and Sustainable Energy Reviews. - : Elsevier BV. - 1879-0690 .- 1364-0321. ; 162
- Related links:
-
https://research.cha...
-
show more...
-
https://doi.org/10.1...
-
show less...
Abstract
Subject headings
Close
- This paper proposes a novel energy distribution optimization method of hybrid energy storage system (HESS) and its improved semi-active topology for electric vehicles (EVs) to further reduce battery capacity degradation and energy loss. Compared with the traditional HESS semi-active topology, the proposed improved topology reduces the energy loss when the battery charges the supercapacitor (SC) to further enhance the efficiency of the system. The real urban driving data of electric vehicles are collected through experiments and divided into aggressive type, cautious type and standard type according to driving style. Based on the mature multi-mode control (MMC), different weight coefficients are assigned to the two optimization objectives of battery capacity degradation and energy loss based on different driving styles, and gray wolf optimization (GWO) is used to optimize the battery output power upper limit and SC charging upper limit of MMC. The simulation results show that compared with the traditional MMC and semi-active topology, the battery capacity degradation and energy loss are improved under different driving styles. In addition, by further analyzing the simulation results, the research direction of HESS energy distribution strategy in the future is discussed.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Farkostteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Vehicle Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Naturresursteknik -- Energisystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Engineering -- Energy Systems (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Keyword
- Electric vehicles
- Optimal analysis
- Energy management strategy
- Driving style
- Hybrid energy storage system
Publication and Content Type
- art (subject category)
- ref (subject category)
Find in a library
To the university's database