Study On Control Strategy Based On Route Information For HEV

Nowadays, energy and environment issues are more and more closely associated to vehicles. It's an important way to reduce the vehicle fuels consumption and engine emission through the Hybrid Electrical Vehicle. For the polytropy of the vehicles'actual driving conditions has a significant impact on the HEV energy management strategy, it is very important to study the strategy based on route information.In this paper, Supported by the project "Research on plug-in hybrid'Midi'vehicle technology" under"High-Tech R&D Program of China", the road grade and traffic flow were chosen to build the future state model of the vehicle. The UDDS and CHINA driving cycle based on road grade were established, and SANHUAN driving cycle was built by collecting the driving speed and elevation of the bus on Beijing's Third Ring Road with GPS logger. After considering the speed and road grade of the vehicle in present and future time and the SOC of the battery, two kinds of HEV control strategy were designed:the predictive control strategy based on route information and the predictive and battery protective control strategy based on route information.ADVISOR simulation software was used to analyze the influence of control strategies on HEV performances. After the simulation results of three kinds of driving cycles on different control strategies were compared, fuel economy, emissions and efficiency of power components were analyzed. Comparing to the conventional power assist control strategy, we can see that fuel economy, emissions and efficiency of power components were improved in varying degrees for the predictive control strategy and the predictive and battery protective control strategy.