Motorcycles have high requirements on operation agility, steering accuracy and braking stability when running at high speed, and the core structure that determines the above performance lies in the suspension system. Therefore, this study uses the mechanism regeneration method to analyze the Duolever multi-bar linkage scissor front suspension of BMW and the eight-bar linkage rear suspension of Honda, and the topology matrix and generalized kinematic chain of the mechanism are obtained. Under the condition of meeting the design constraints, 12 kinds of eight-bar ten-pair combined kinematic chains can be gotten. After specifying the link types in turn, 17 feasible new eight-bar linkage motorcycle suspensions are finally realized. This study provides an efficient method for the independently design of the motorcycle suspension topology.

No abstract

Aiming at the unconscious lane departure behavior in the process of driving, a design scheme of lane departure warning system based on Android is proposed. STM32F103C8T6 is selected as the main control chip and CAN bus communication technology is used to collect vehicle information such as vehicle speed, steering angle and steering signal. Then Bluetooth module is used to transmit the data to the mobile phone for real-time processing. Taking GB/T 26773-2011 (Performance Requirements and Test Methods for Lane Departure Alarm System) as the design standard, the lane departure rate ε and the time T when the right front wheel crosses the lane line are considered as the input of the two-dimensional fuzzy controller, and the early warning level W is considered as the output. When the driving deviation angle is 5°, the interval of the lane departure rate ε is [0.75,1.35], and the interval of T is [0,1.5]. After normalized parameter processing, a certain fuzzy interval is set according to the driving habits of different vehicle drivers, and the fuzzy control algorithm with improved membership function is adopted for control, so as to improve the recognition rate of lane lines, reduce the early warning misjudgement rate and reduce the incidence of traffic accidents.