Title :
Topology Optimization for Hybrid Electric Vehicles With Automated Transmissions
Author :
Hofman, Theo ; Ebbesen, Søren ; Guzzella, Lino
Author_Institution :
Dept. of Mech. Eng., Eindhoven Univ. of Technol., Eindhoven, Netherlands
fDate :
7/1/2012 12:00:00 AM
Abstract :
Currently, many different topologies are designed with different transmission technologies such as automated manual transmission (AMT) and continuously variable transmission (CVT). The choice of topology determines the energy-flow efficiency between the hybrid system, the engine, and the vehicle wheels. The optimal topology minimizing fuel consumption is influenced by the transmission technology. Therefore, an AMT (high efficiency) and a push-belt CVT (moderate efficiency), are used in this research for comparison. In addition, a controlled switching topology is introduced as a benchmark, where controlled coupling with additional clutches of the electric machine before or after the transmission minimizing transmission losses and improving hybrid performance is investigated. The results showed that a switching topology can significantly improve CO2 emission reduction (average relative improvements between 2% and 7%), particularly for CVT-based hybrid vehicles. Moreover, in case of an AMT, a precoupled topology is preferable, and in the case of a CVT, a postcoupled is preferable for full-hybrid vehicles. For these cases, selecting the optimal fixed topology can improve the relative CO2 emission reduction between 2% and 8%.
Keywords :
carbon compounds; electric machines; hybrid electric vehicles; optimisation; wheels; CO2; CVT-based hybrid vehicles; automated manual transmission; automated transmissions; carbon dioxide emission reduction; continuously variable transmission; controlled switching topology; electric machine; energy-flow efficiency; engine; fuel consumption; hybrid electric vehicles; topology optimization; vehicle wheels; Control systems; Electric machines; Engines; Gears; Topology; Torque; Vehicles; Dynamic programming (DP); energy management; fuel optimal control; modeling; optimization; road vehicle propulsion; topology; transmission;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2012.2196299