LAPSE:2023.33952v1
Published Article

LAPSE:2023.33952v1
Parameter Matching of Energy Regeneration System for Parallel Hydraulic Hybrid Loader
April 24, 2023
Abstract
Oil shortages and environmental pollution are attracting worldwide attention incrementally. Hybrid falls within one of the effective techniques for those two problems. Taking the loader with high energy consumption and high emission as the target, combined with the hydraulic hybrid technology with high power density and strong energy storage capacity, the parallel hydraulic hybrid loader (PHHL) based on brake energy regeneration is proposed. Firstly, the dynamic models of the key components of the PHHL are established, and the parameters of the part which coincides with the ordinary loader are corrected based on the V-type duty cycle. Then, consid-ering the energy recovery efficiency as well as the characteristics of the loader from the V-type duty cycle, the parameters for several major parts of the energy regeneration system (ERS) were calculated and matched. Then, based on the initial matching, the improved adaptive genetic al-gorithm (AGA) is employed to optimize the control variable of the control strategy and the design parameters of ERS to enhance the economic benefit and performance of the ERS. Furthermore, a simulation validation was conducted. Simulation results show that the ERS with optimized pa-rameters could improve the fuel-saving effect by 25% compared to the ERS with initial parameters, which indicated the rationality of the optimized parameters. Finally, the fuel consumption test of the PHHL prototype under the V-type duty cycle is performed. The results show that the PHHL with the optimization scheme can achieve 9.12% fuel saving, which is on the brink of the potential of brake energy recovery and verifies the feasibility of applying hydraulic hybrid technology on the loader.
Oil shortages and environmental pollution are attracting worldwide attention incrementally. Hybrid falls within one of the effective techniques for those two problems. Taking the loader with high energy consumption and high emission as the target, combined with the hydraulic hybrid technology with high power density and strong energy storage capacity, the parallel hydraulic hybrid loader (PHHL) based on brake energy regeneration is proposed. Firstly, the dynamic models of the key components of the PHHL are established, and the parameters of the part which coincides with the ordinary loader are corrected based on the V-type duty cycle. Then, consid-ering the energy recovery efficiency as well as the characteristics of the loader from the V-type duty cycle, the parameters for several major parts of the energy regeneration system (ERS) were calculated and matched. Then, based on the initial matching, the improved adaptive genetic al-gorithm (AGA) is employed to optimize the control variable of the control strategy and the design parameters of ERS to enhance the economic benefit and performance of the ERS. Furthermore, a simulation validation was conducted. Simulation results show that the ERS with optimized pa-rameters could improve the fuel-saving effect by 25% compared to the ERS with initial parameters, which indicated the rationality of the optimized parameters. Finally, the fuel consumption test of the PHHL prototype under the V-type duty cycle is performed. The results show that the PHHL with the optimization scheme can achieve 9.12% fuel saving, which is on the brink of the potential of brake energy recovery and verifies the feasibility of applying hydraulic hybrid technology on the loader.
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Keywords
adaptive genetic algorithm, energy regeneration system, fuel saving, parallel hydraulic hybrid loader, parameter matching
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Suggested Citation
Yang J, Bian Y, Yang M, Shao J, Liang A. Parameter Matching of Energy Regeneration System for Parallel Hydraulic Hybrid Loader. (2023). LAPSE:2023.33952v1
Author Affiliations
Yang J: School of Mechanical Engineering, Tongji University, Shanghai 201804, China
Bian Y: School of Mechanical Engineering, Tongji University, Shanghai 201804, China
Yang M: State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China; Department of Control Science and Engineering, Tongji University, Shanghai 201804, China
Shao J: School of Mechanical Engineering, Tongji University, Shanghai 201804, China
Liang A: School of Mechanical Engineering, Tongji University, Shanghai 201804, China
Bian Y: School of Mechanical Engineering, Tongji University, Shanghai 201804, China
Yang M: State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China; Department of Control Science and Engineering, Tongji University, Shanghai 201804, China
Shao J: School of Mechanical Engineering, Tongji University, Shanghai 201804, China
Liang A: School of Mechanical Engineering, Tongji University, Shanghai 201804, China
Journal Name
Energies
Volume
14
Issue
16
First Page
5014
Year
2021
Publication Date
2021-08-16
ISSN
1996-1073
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PII: en14165014, Publication Type: Journal Article
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