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Auto Tailgate Automatic Control System Based on Single Chip Microcomputer

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Cyber Security Intelligence and Analytics (CSIA 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 123))

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Abstract

With the development and maturity of automobile electronic technology, the automobile is gradually developing towards the direction of comfort and intelligence. The electric tailgate technology is widely used and respected in the process of automobile product design, production and sales by each main engine factory. The quality of the vehicle directly affects the driving safety of the automobile. A car tailgate controller based on KEAZ128 microcontroller is designed in this paper, which has the functions of suction and unlock of tailgate door lock, electric lifting tailgate door, CAN bus and LIN bus communication. The suction function of the tail door lock reduces the impact of the pawl and ratchet in the lock, prolongs the service life of the tail door lock, reduces the noise of closing the door, and improves the safety of the car tail door. The electric lifting function makes the lifting of the tailgate more stable and the anti-clamping function improves the safety of the use of the tailgate. CAN bus and LIN bus body controller CAN make the controller and communication functions, realizes the tail door system and information interaction, body controller based on KEAZ128 SCM sport-utility vehicle tail gate system controller, including the overall design, circuit design and working principle of the controller and the software design, realized the tail gate of electric hoist, prevent clip; Automatic suction and electric unlock of tail door lock; CAN and LIN bus communication function of tailgate controller. The designed controller can effectively improve the running safety of the vehicle, improve the convenience and safety of the tailgate operation.

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Zhao, Y. (2022). Auto Tailgate Automatic Control System Based on Single Chip Microcomputer. In: Xu, Z., Alrabaee, S., Loyola-González, O., Zhang, X., Cahyani, N.D.W., Ab Rahman, N.H. (eds) Cyber Security Intelligence and Analytics. CSIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 123. Springer, Cham. https://doi.org/10.1007/978-3-030-96908-0_68

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