Development of CAN Network With Improved Parameters for Adaptive Car Front Lighting System

Abstract

An analysis of implementation principles and algorithms of the adaptive car front-lighting system (AFS) and control methods is carried out. The AFS was adopted by the UNECE in 2007 as the rules for arranging front-lighting systems of vehicles when driving in the dark. Among the known algorithms of AFS operation, a preliminary inspection algorithm is chosen, based on the features of the driver's observation of the road in front of the vehicle, taking into account the characteristics of his vision. The requirements of the algorithm for the control system are analyzed. Control methods using Arduino controllers and computer network are considered. Given the capabilities of network technologies, the CAN network (Controller Area Network) is chosen to ensure the quality of control. It is recommended to use the CAN network option with a length of 40 or 100 m and a speed of 1,000, 500 kbit/s, respectively. Network performance parameters are calculated: speed, error probabilities, performance dependence on load, size of commands and duration of transmission, and compliance with AFS requirements. It is proposed to improve the network arbitration algorithm by increasing the probability of transmission of low-priority commands at high load. The AFS developed on the basis of the CAN network allows creating comfortable conditions for the driver in the dark, preventing accidents, and ensuring traffic safety. An analysis of the AFS operation shows that it is directly related to the operation of most of the main components of the car, namely: engine, steering, gearbox, brakes, accelerometer, etc. It is operated under the driver’s control. Therefore, this system can have extended functions, serve as the basis for the safety system and vehicle control system as a whole