An Optimization Framework for Comparative Analysis of Multiple Vehicle Powertrains

Energies

Ganesh Mohan¹  Francis Assadian² 

[1] Department of Automotive Engineering, Cranfield University, Bedfordshire MK430AL, UK;

关键词: hybrid electric vehicle;    modular powertrain structure;    genetic algorithm;    powertrain optimization;   

DOI  :  10.3390/en6105507

来源: mdpi

【 摘 要 】

With a myriad of alternative vehicle powertrain architectures emerging in the industry, such as electric vehicles and hybrid electric vehicles, it is beneficial that the most appropriate system is chosen for the desired vehicle class and duty cycle, and to minimize a given cost function. This paper investigates this issue, by proposing a novel framework that evaluates different types of powertrain architectures under a unified modular powertrain structure. This framework provides a systematic and objective approach to comparing different types of powertrain architectures simultaneously, and will highlight the benefits that can be achieved from each architecture, thus making it possible to develop the reasoning for manufacturers to implement such systems, and potentially accelerate customer take-up of alternative powertrain technology. The results from this investigation have indicated that such analysis is indeed possible, by way of identifying the “cross-over point” between powertrain architectures, where one powertrain architecture transitions into a different architecture with increments in the required travel range.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.