题名: |
Research on Optimal Power Allocation Strategy Based on Finite Time Domain Prediction For Electro-Mechanical Transmission |
正文语种: |
中文 |
作者: |
Yulong Zhao Weida Wang Changle Xiang Kun Huang |
作者单位: |
Beijing Institute of Technology, Beijing 100081 Beijing Institute of Technology, Beijing 100081;Science and Technology on Vehicle Transmission Laboratory |
关键词: |
EMT power distribution fixed-gain prediction algorithm optimal control strategy |
摘要: |
Electro-mechanical transmission (EMT), with power distribution strategy as its core technology, stands for the developing orientation of the heavy vehicles' transmission, which is able to fulfill power, fuel economy and electricity demand of the vehicles.In this paper, the mechanical and electrical power balance equations were established according to the split and convergence characteristics of the power coupling mechanism and power distribution unit.The power demand of the EMT is predicted through combination of the fixed-gain prediction algorithms and the input that driver's desired speed during the vehicle driving cycle.Then the optimal power distribution strategy based on finite horizon power prediction algorithm is achieved.Moreover, the optimal allocation pattern of the engine and motors is proposed.The rationality of control strategy is verified by the forward simulation results. |
会议日期: |
201511 |
会议举办地点: |
成都 |
会议名称: |
2015第二届智能交通国际会议 |
出版日期: |
2015-10-31 |
母体文献: |
2015第二届智能交通国际会议论文集 |