| Vehicle safety, energy saving and environment protection have been the internatio- nal study hotspot and direction, which are the important parts of sustainable development stratagem in vehicle industry. Reducing the vehicle emission, increasing the fuel economy and developing new substitutional fuel will do great contribute to the improvement of environment pollution and the relaxation of the energy crisis.Considering the need of environment protection and energy saving, the Hybrid Electric Vehicle is a realistic choice. There will be particular developing conditions and applied foreground to develop the Hybrid Electric Vehicle used in city traffic and between cities. Vehicle driving cycles is an important means and evaluation method for the performance examination of Hybrid Electric Vehicle.Vehicle driving cycles is based on the investigation of vehicle's actual driving conditions and the analysis of the experimental data, and established by statistics methods. Vehicle driving cycles is a core technology of vehicle industry. Studying and developing Vehicle driving cycles based on the traffic characteristic of our country cities will provide basic data for calculaing the vehicle emission and fuel comsuming and deceloping new vehicle types, as well as evaluationg the risk mensuration of traffic control.Learned from the international advanced design methods of vehicle driving cycles, based on the satisfaction criterion model and Genetic Algorithm, the design method of transient driving cycles is studied and developed in this paper. And the following works have been done mainly.I The databases of original car following experiments and validated experiments are analyzed. By analyzing the vehicle driving cycles, the weight coefficient of in and out the downtown and the referenced information of driving cycles are obtained, which contains the two- dimension velocity and acceleration distribution figure, average velocity, idle time percent, cruise time percent and fuel consumption of one-hundred-kilometer, etc. The referenced information of driving cycles provides the basic data for the combination and design of vehicle driving cycles.II Through the analysis of the experiment databases, the coherence of two- dimension velocity and acceleration distribution figure is used to be the evaluation object, which contains the correlation of the two- dimension velocity and acceleration distribution figure, average velocity, driving time, idle time percent and cruise time percent. Based on the correlative theory of satisfaction criterion model, the satisfaction criterion model for the combination and design of vehicle driving cycles is established, the solution of optimal value is changed to the solution of satisfied value, and the multiple objective problem for the combination and design of vehicle driving cycles is also changed to single objective problem.III The genetic algorithm and genetic algorithm toolbox is used to solve the problem. According to the different satisfied value of the designer, three design cycles of different time length (800s, 1200s and 1600s) are obtained. Through the compare of the design cycles with the international standard cycles, the character of Changchun city's vehicle driving cycles is analyzed.IV The velocity control model based on the fuzzy logic toolbox is established on VOSS(Vehicle Operation Self-organization Simulation), through the compare of different simulation experiments, the validity and rationality of the velocity control model based on the fuzzy logic is validated.V Through simulation experiments, the correctness of three different driving cycles is validated, which indicates that the designed cycles can be used to bench test and vehicle field test.VI The MATLAB's Graphical User Interface toolbox is used to design the Graphical User Interface(GUI) for the combination and design of transient driving cycles based on the main program of genetic algorithm. |
