DocumentCode
136528
Title
Energy management strategy optimization for the Electro-Mechanical Transmission system based on PMP
Author
Zheng Hailiang ; Xiang Changle ; Zhang Donghao
Author_Institution
Beijing Inst. of Technol., Beijing, China
fYear
2014
fDate
Aug. 31 2014-Sept. 3 2014
Firstpage
1
Lastpage
6
Abstract
The Electro-Mechanical Transmission (EMT) is a form of Heavy-Duty Vehicles Electrification. It makes use of two motor-generator units to electrically impose a continuously variable ratio between the input shaft and the transmission output shaft, thereby allowing the engine to work in a more efficient manner without respect to the vehicle speed. To realize that, the EMT system requires an algorithm controls the power split between the internal combustion engine and the electric machines. Based on Pontryagin´s Minimum Principle (PMP), the optimal control theory is applied to derive a methodology for a real-time power split algorithm. To validate the performance of the proposed control strategy, a forward model is built based on Matlab/Simulink for the simulation. The simulation results show that the research of EMT control strategy has significant oil-saving effect, optimization method and the control strategy is effective.
Keywords
electric machines; electric vehicles; energy management systems; internal combustion engines; maximum principle; optimisation; power transmission (mechanical); EMT control strategy; Matlab-Simulink; PMP; Pontryagin minimum principle; electric machines; electromechanical transmission; energy management strategy optimization; forward model; heavy-duty vehicles electrification; internal combustion engine; oil-saving effect; optimal control theory; optimization method; real-time power split algorithm; variable ratio; Batteries; Engines; Fuels; Optimization; System-on-chip; Torque; Vehicles; EMT; Energy Management Strategy Optimization; Minimum Principle; Real-Time;
fLanguage
English
Publisher
ieee
Conference_Titel
Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
Conference_Location
Beijing
Print_ISBN
978-1-4799-4240-4
Type
conf
DOI
10.1109/ITEC-AP.2014.6940799
Filename
6940799
Link To Document