Parameter Matching and Performance Analysis of a Master-Slave Electro-Hydraulic Hybrid Electric Vehicle
Open Access
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.Keywords
Funding Information
- National Natural Science Foundation of China (52075278)
- Municipal Livelihood Science and Technology Project of Qingdao (19-6-1-92-nsh)
This publication has 41 references indexed in Scilit:
- Hybrid multilevel programming with uncertain random parametersJournal of Intelligent Manufacturing, 2014
- A Novel Planetary Gear Hybrid PowertrainApplied Mechanics and Materials, 2013
- Energy evaluation method and its optimization models for process planning with stochastic characteristics: A case study in disassembly decision-makingComputers & Industrial Engineering, 2012
- Hybrid Electric Vehicle Drive ControlProcedia Environmental Sciences, 2011
- Study on the Electro-Hydraulic Power Steering System Based on AMESim and SimulinkAdvanced Materials Research, 2011
- Expected energy analysis for industrial process planning problem with fuzzy time parametersComputers & Chemical Engineering, 2011
- Electrochemical study on lithium iron phosphate/hard carbon lithium-ion batteriesJournal of Solid State Electrochemistry, 2011
- SIMULATION OF DYNAMIC PROCESSES IN HYDRAULIC ACCUMULATORSTransport, 2010
- Research on the system configuration and energy control strategy for parallel hydraulic hybrid loaderAutomation in Construction, 2010
- Torque control strategy for a parallel hydraulic hybrid vehicleJournal of Terramechanics, 2009