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.

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In order to address the problems of low energy storage capacity and short battery life in electric vehicles, in this paper, a new electromechanical-hydraulic power coupling drive system is proposed, and an electromechanical-hydraulic power coupling electric vehicle is proposed based on this system. The system realizes the mutual conversion between mechanical energy, hydraulic energy, and electric energy through the electromechanical–hydraulic coupler. This paper describes the structural characteristics and working principles of the system and analyzes the different working modes during the driving of the vehicle. We established a mathematical model of the hydraulic accumulator and the hydraulic pump and motor. Based on the vehicle dynamics model, an AME Sim vehicle model was built and the vehicle, and the relevant hydraulic parameters were set in combination with the actual situation. The braking energy recovery and release process was jointly simulated by AME Sim and Simulink. The simulation results show that the hydraulic accumulator size of the accumulator volume can influence the maximum working pressure of the accumulator and the SOC of the vehicle battery, and it is verified that 35 L is the best capacity. This study has an important reference value for matching electromechanical–hydraulic coupling parameters of electric vehicles.

Hydraulic hybrid technology can further improve the economy of electric vehicles (EV). This paper investigates a novel electro‐hydraulic power coupling vehicle (EHPCV), which is endowed with multiple drive modes and energy regenerative braking modes. The electric‐hydraulic power coupler (EHPC) is an innovative device for realizing power coupling and conversion in the powertrain. The design and optimization of energy management strategies (EMS) are key to ensuring the efficient and stable operation of hybrid electric vehicles (HEV). Based on the analysis of energy flow, a rule‐based energy management strategy (RB‐EMS) is built. To achieve more reasonable energy management of the EHPCV in random working environments, the article proposes an optimization framework for the EMS based on multiple driving cycles. More precisely, a multi‐objective optimization mathematical model is established with the goal of maximizing the battery state of charge (SOC) and minimizing speed error. Moreover, use the optimal Latin hypercube design (OLHD) to select the design variables that have a significant impact on the optimization objective. Definitively, the NSGA‐II algorithm combines with the RB‐EMS to optimize the control parameters. The verification results show that the optimized EMS enables the EHPCV to have greater economic advantages. The research achievements of this paper provide theoretical support and important reference for the energy management optimization of electric‐hydraulic hybrid vehicles (EHHV) in the future.This article is protected by copyright. All rights reserved.