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The vehicle dimension parameters of the domestic passenger car in current Chinese market were analyzed. Combined with the human body golden ratio, a probability and statistics method was used to propose an intrinsic link between vehicle dimension and platform dimension, an intrinsic link between the dimensions of a vehicle. The proportion of coordination in different styles of models was analyzed also. A reference method was provided for the subsequent development models to define the dimension of the vehicle.

Speed ratio and clamping force are two of the metal-belt CVT control targets. Conventional control strategies can not correspond to the driver's intention or provide various driving environment. A fuzzy logic ratio control algorithm and a fuzzy logic clamping force control algorithm for a metal-belt CVT are proposed. Nevertheless, high-quality fuzzy control rule base and factors of FLC are difficult to gain because repeated tests and experts' experience are needed. Therefore, genetic algorithm (GA) is introduced to optimize the fuzzy control algorithms. Using the optimized fuzzy control algorithms, Metal-belt CVT control simulations were implemented. The results show that a faster response and better robustness can be gained when compared with those of the PID control.