Energy Management Strategy Optimization for a Novel Electric‐hydraulic Power Coupling Vehicle Considering the Influence of Multiple Driving Cycles

Abstract

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.