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中南大学学报(英文版)

Journal of Central South University

Vol. 26    No. 3    March 2019

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Shift scheduling strategy development for parallel hybrid construction vehicles
LI Tian-yu(李天宇)1, LIU Hui-ying(刘惠影)2, ZHANG Zhi-wen(张志文)3, DING Dao-lin(丁道霖)1

1. School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130025, China;
2. School of Electronics and Information Engineering, Changchun University, Changchun 130022, China;
3. School of Mechanical and Power Engineering, North University of China, Taiyuan 030051, China

Abstract:The shift scheduling system of the transmission has an important effect on the dynamic and economic performance of hybrid vehicles. In this work, shift scheduling strategies are developed for parallel hybrid construction vehicles. The effect of power distribution and direction on shift characteristics of the parallel hybrid vehicle with operating loads is evaluated, which must be considered for optimal shift control. A power distribution factor is defined to accurately describe the power distribution and direction in various parallel hybrid systems. This paper proposes a Levenberg-Marquardt algorithm optimized neural network shift scheduling strategy. The methodology contains two objective functions, it is a dynamic combination of a dynamic shift schedule for optimal vehicle acceleration, and an energy-efficient shift schedule for optimal powertrain efficiency. The study is performed on a test bench under typical operating conditions of a wheel loader. The experimental results show that the proposed strategies offer effective and competitive shift performance.

 

Key words: construction vehicle; hybrid electric vehicle; shift scheduling strategy; shift control; neural network

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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