Simultaneous Optimization of Power Train Parameter and Control Strategy in a Plug-In Hybrid Electric Bus Wuhan University of Technology

Format:

Conference/Event

Author/Creator:

Tian, Tian, author.

Contributor:

Wang, Yang

Wu, Lei

Conference Name:

SAE 2015 Commercial Vehicle Engineering Congress (2015-10-06 : Rosemont, Illinois, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2015

Summary:

AbstractIn the Plug-in hybrid electric bus, the power train parameter and control strategy significantly affect the economy and dynamic performance. Thus, the simultaneous optimization of power train parameter and control strategy is designed for the trade-off between the dynamic and economic performance. Depending on the parallel electric auxiliary control strategy in a plug-in hybrid electric bus, a vehicle dynamic simulation model is built with the software AVL Cruise. Aiming at the minimization of equivalent gas consumption and acceleration time from 0 to 50kmph, the gear ratio, final drive ratio, gear shifting strategy and control strategy are chosen as optimal variable, which significantly impact power performance and fuel economy. The driving performance and the driving range with full battery are considered as constraints. Based on the software Isight, multi-objective optimization model is built by adopting non-dominated sorting genetic optimization algorithm (NSGA-II). NSGA-II adopts non-dominated sort and congestion comparison operator to make the front close the Pareto, as well as a better diversity. Simultaneously, its elite strategy can improve its arithmetic speed and robustness. The optimization model is performed over the Chinese Typical Urban Driving Cycle, and the Pareto optimal solution is obtained. Finally compared with the original Plug-in Hybrid Electric Bus, equivalent gas consumption is decreased by 4.1% and acceleration time is decreased by 3.4% based on the vehicle dynamic performance

Notes:

Vendor supplied data

Publisher Number:

2015-01-2828

Access Restriction:

Restricted for use by site license