Research On Gearshift Decision Strategy For Hybrid Electric Vehicle Based On Driver-Vehicle-Road Recognition

With the development of global automobile industry, the sale quantity of the global car also grow with each passing day, the problems of energy and environmental are becoming more and more serious, the first task we have to face is energy conservation and emission reduction. Facing the dual challenges of energy and environment, and the new energy automobile has become the key research objects of each big car companies and research institutions of the world. At present, Hybrid Electric Vehicle has become the new trend of development of world automobile as the model of new energy car, with the advantages of low energy consumption, low emission, long endurance mileage and so on, which can effectively balance the two factors of energy saving and environmental protection.Moving vehicle is a complex driver-vehicle-road closed-loop system. However, the traditional shift law of the Hybrid Electric Vehicle only works in fixed mode, which cannot satisfy the customers’ improving demands for vehicle performance. Actually, with the development of intelligent control technology, gearshift decision strategy has entered intelligent stage. The first problem of adaptive gearshift decision method is how to recognize driver-vehicle-environment system, and the next problem is how to gearshift decision-making based on the recognition results. This thesis research on Single shaft parallel hybrid electric vehicle, focusing on the several key issues on the gearshift decision field and carried out the following researches:(1) Studied the composition of gearshift decision system and analyzed the influence of each component to gearshift decision. At last, the design programs of system is determined and given the shift schedules of Hybrid Electric Vehicle.(2) The relationship of driver-vehicle-road closed-loop system has been researched, and the driver’s intentions and vehicle running environment are recognized based on fuzzy theory, which have been testified.(3) Firstly, The hybrid vehicle shift schedule control strategy was formulated based on the recognition of driver’s intentions and vehicle running environment. Secondly, the integrative shift strategy is obtained after research on the shift law revision strategy based on coupling of driver intention and road environment.