LAPSE:2023.1685
Published Article

LAPSE:2023.1685
Parameter Matching and Performance Analysis of a Master-Slave Electro-Hydraulic Hybrid Electric Vehicle
February 21, 2023
Abstract
To improve the battery state of charge (SOC) of the electric vehicle (EV), this paper proposes a master−slave electro-hydraulic hybrid electric vehicle (MSEH-HEV). The MSEH-HEV uses a planetary row as the core transmission component to realize the interconversion between mechanical energy, hydraulic energy and electrical energy. Meanwhile, this paper introduces the six working modes in vehicle operation, matches the parameters of key components to the requirements of the vehicle’s performance and designs a rule-based control strategy to dominate the energy distribution and the operating mode switching. The research uses AMESim and Simulink to perform a co-simulation of the MSEH-HEV, and the superiority of MSEH-HEV is testified by comparing it with an AMESim licensed EV. The simulation results show that in the Economic Commission for Europe (ECE) and the Extra Urban Driving Cycle (EUDC), the MSEH-HEV has a 15% reduction in battery consumption, and the motor peak torque is greatly reduced. Moreover, a fuzzy control strategy is designed to optimize the rule-based control strategy. Ultimately, the optimized strategy further reduces the motor torque while maintaining the battery SOC. In this paper, the applicable research consists of the necessary references for the design matching of future electro-hydraulic hybrid electricity systems.
To improve the battery state of charge (SOC) of the electric vehicle (EV), this paper proposes a master−slave electro-hydraulic hybrid electric vehicle (MSEH-HEV). The MSEH-HEV uses a planetary row as the core transmission component to realize the interconversion between mechanical energy, hydraulic energy and electrical energy. Meanwhile, this paper introduces the six working modes in vehicle operation, matches the parameters of key components to the requirements of the vehicle’s performance and designs a rule-based control strategy to dominate the energy distribution and the operating mode switching. The research uses AMESim and Simulink to perform a co-simulation of the MSEH-HEV, and the superiority of MSEH-HEV is testified by comparing it with an AMESim licensed EV. The simulation results show that in the Economic Commission for Europe (ECE) and the Extra Urban Driving Cycle (EUDC), the MSEH-HEV has a 15% reduction in battery consumption, and the motor peak torque is greatly reduced. Moreover, a fuzzy control strategy is designed to optimize the rule-based control strategy. Ultimately, the optimized strategy further reduces the motor torque while maintaining the battery SOC. In this paper, the applicable research consists of the necessary references for the design matching of future electro-hydraulic hybrid electricity systems.
Record ID
Keywords
energy management strategy, fuzzy control strategy, hybrid electric vehicle, Optimization, planetary row
Subject
Suggested Citation
Jia Q, Zhang H, Zhang Y, Yang J, Wu J. Parameter Matching and Performance Analysis of a Master-Slave Electro-Hydraulic Hybrid Electric Vehicle. (2023). LAPSE:2023.1685
Author Affiliations
Jia Q: College of Mechanical and Electrical Engineering, Qingdao University, Qingdao 266071, China; Power Integration and Energy Storage Systems Engineering Technology Center (Qingdao), Qingdao 266071, China
Zhang H: College of Mechanical and Electrical Engineering, Qingdao University, Qingdao 266071, China; Power Integration and Energy Storage Systems Engineering Technology Center (Qingdao), Qingdao 266071, China
Zhang Y: Yantai Intellectual Property Protection Center, Yantai 264003, China
Yang J: College of Mechanical and Electrical Engineering, Qingdao University, Qingdao 266071, China; Power Integration and Energy Storage Systems Engineering Technology Center (Qingdao), Qingdao 266071, China
Wu J: Qinghai Huasheng Ferroalloy Smelting Co., Ltd., Xining 810000, China
Zhang H: College of Mechanical and Electrical Engineering, Qingdao University, Qingdao 266071, China; Power Integration and Energy Storage Systems Engineering Technology Center (Qingdao), Qingdao 266071, China
Zhang Y: Yantai Intellectual Property Protection Center, Yantai 264003, China
Yang J: College of Mechanical and Electrical Engineering, Qingdao University, Qingdao 266071, China; Power Integration and Energy Storage Systems Engineering Technology Center (Qingdao), Qingdao 266071, China
Wu J: Qinghai Huasheng Ferroalloy Smelting Co., Ltd., Xining 810000, China
Journal Name
Processes
Volume
10
Issue
8
First Page
1664
Year
2022
Publication Date
2022-08-22
ISSN
2227-9717
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Original Submission
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PII: pr10081664, Publication Type: Journal Article
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LAPSE:2023.1685
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https://doi.org/10.3390/pr10081664
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Feb 21, 2023
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