Research on the Efficiency Optimization Control of the Regenerative Braking System of Hybrid Electrical Vehicle Based on Electrical Variable Transmission

Qiwei Xu,Fukang Wang,Xuefeng Zhang,Shumei Cui

doi:10.1109/access.2019.2936370

Qiwei Xu, Fukang Wang + Show 2 more

Open Access

https://doi.org/10.1109/access.2019.2936370

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Journal: IEEE Access	Publication Date: Jan 1, 2019
Citations: 25	License type: CC BY 4.0

Affiliation: Chongqing University, Harbin Institute of Technology

Abstract

Electrical variable transmission (EVT) is a novel electromechanical energy converter that can be applied in hybrid electrical vehicle (HEV). In this paper, the hybrid electrical vehicle based on EVT (EVT-HEV) and the efficiency optimization strategy of regenerative braking system (RBS) is studied. Firstly, this paper analyzes the dynamic coupling mode of EVT-HEV and establishes the expression of the dynamic coupling relationship between EVT and the engine. Then, four different braking modes including two novel ones are divided. Next, a hierarchical controller is proposed in which the rule-based control strategy is used for braking mode switching and neural network algorithm is used for the optimal efficiency control for the system. The simulation of the control strategy is carried out under New European Driving Cycle (NEDC) based on the joint platform of CRUISE and MATLAB software. And the results indicate that the proposed strategy can improve the performance of RBS in EVT-HEV. Thus the research in this paper can bring a new theoretical foundation for the application of EVT in HEV and is of great significance to enrich the energy management strategies of EVT-HEV.

Highlights

Electrical variable transmission (EVT) was firstly proposed by Professor Hoeijmakers [1], [2] in the Netherlands in 2001
In response to the problems existed in the current researches on regenerative braking system (RBS) in EVT-hybrid electrical vehicle (HEV), this paper comprehensively considers the operating state of the engine and EVT under various working modes, analyzes the braking process of EVT-HEV in detail and proposes four different braking modes including two noble modes named as engine-motor coordinating braking mode (EMCB) and dual motor braking mode (DMB)
A hierarchical controller is proposed in which the rule-based control strategy is used for braking mode switching and neural network algorithm is used for the optimal efficiency control for the system

Summary

INTRODUCTION

Electrical variable transmission (EVT) was firstly proposed by Professor Hoeijmakers [1], [2] in the Netherlands in 2001. While all the researches on RBS in EVT-HEV are similar to the control strategy in the traditional HEV in which only one motor (the outer motor) is utilized to provide the regenerative braking force without considering the operating state of ICE. In response to the problems existed in the current researches on RBS in EVT-HEV, this paper comprehensively considers the operating state of the engine and EVT under various working modes, analyzes the braking process of EVT-HEV in detail and proposes four different braking modes including two noble modes named as engine-motor coordinating braking mode (EMCB) and dual motor braking mode (DMB). The innovation points of our research on RBS in EVT-HEV are listed as following: 1) EMCB mode is firstly proposed in this paper and it can keep the engine operating in the optimal state and the output energy can be transmitted into the battery during the regenerative braking process. The operating mode of the EVT-HEV can be divided into the hybrid drive mode in which the engine is on and the pure electric mode in which the engine is off

HYBRID DRIVE MODE

PURE ELECTRIC DRIVE MODE

MODELING AND TRAINING OF NEURAL NETWORK ALGORITHM

SIMULATION AND RESULT ANALYSIS

Findings

CONCLUSION