Research on Fuel Economy Aimed Coordination Control Strategy for the Dual-mode Hybrid System under Dynamic Conditions

DOI

10.2991/caai-17.2017.5How to use a DOI?

Keywords

dual-mode; energy management; coordination control; fuel economy performance; accuracy and stability

Abstract

A simulation of dynamic conditions was carried out based on the energy management strategy of "multi-objective power flow optimization based on engine optimal fuel economy curve". In dynamic conditions, without considering the response time of the adjustment of engine speed and engine torque, the motor torque loads too fast, the speed control of the engine and the torque control of the motors are not coordinated, which makes the accuracy and stability of dynamic condition control poor. In order to solve the incoordination problem in dynamic conditions, the coordination control strategy of "The target motor torque signal is subjected to first-order hysteresis treatment + The target engine speed signal is subjected to slope control treatment" was proposed, and the simulation research was carried out. The simulation results show that the coordination control strategy can effectively improve the tracking of the optimal fuel economy curve, improve the fuel economy performance of the engine, and improve the accuracy and stability of the dynamic condition control.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yu Zhao
AU  - Changlu Zhao
AU  - Ying Huang
AU  - Long Yang
PY  - 2017/06
DA  - 2017/06
TI  - Research on Fuel Economy Aimed Coordination Control Strategy for the Dual-mode Hybrid System under Dynamic Conditions
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 19
EP  - 26
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.5
DO  - 10.2991/caai-17.2017.5
ID  - Zhao2017/06
ER  -