International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 06 | Jun 2025
p-ISSN: 2395-0072
www.irjet.net
CAN Based Adaptive Automotive Parts Control Yash Pawar 1, Dr.Mahadev.S.Patil2 1B.Tech ,Department of Electronics &Telecommunication, Rajarambapu Institute of Technology,
Islampur, Maharashtra, India Professor Department of Electronics &Telecommunication, Rajarambapu Institute of Technology, Islampur, Maharashtra, India ---------------------------------------------------------------------***-------------------------------------------------------------
Abstract- This research presents a CAN bus-based adaptive
control system for automotive components, integrating intelligent headlight management, turn indicators, and door locking mechanisms. The system employs dual control modes (automatic and manual) simulated via CANoe, with real-time functionality programmed in CAPL. For headlights, environment-responsive automatic intensity adjustment is implemented alongside manual override. The turn indicator system features self-canceling logic with conflict resolution, while the door lock mechanism ensures synchronized vehicle access control. Experimental validation confirms 95% command delivery accuracy under high bus load, with integrated fault detection for malfunctioning components. The system reduces manual intervention by 40% during normal operation while preserving full user control. By balancing automation with driver adaptability, this solution offers a cost-effective approach for modern vehicles and establishes a scalable foundation for autonomous subsystem integration. The design emphasizes robustness, with testing demonstrating consistent performance in simulated realworld conditions. Results highlight the system’s potential to enhance safety and convenience without compromising manual override requirements. Key Words: CAN bus, adaptive control, automotive electronics, headlight management, indicators, door locking system, CAPL programming, fault detection.
1.INTRODUCTION
As modern vehicles incorporate an increasing number of electronic subsystems—ranging from powertrain and braking to infotainment and lighting— there is a growing need for centralized yet distributed control architectures. CAN serves this need by facilitating efficient, scalable, and modular communication between components. It reduces the complexity and weight of wiring harnesses, minimizes power consumption, and simplifies diagnostics and fault detection across interconnected systems. This research specifically addresses the implementation of a CAN-based adaptive automotive parts control system, targeting two critical functions: 1.
Automatic headlight control based on ambient lighting conditions.
2.
Manual control of vehicle indicators and door locking mechanisms via CAN-enabled switches.
Automatic headlight control is a driver-assistive feature increasingly found in modern vehicles. It allows the headlights to respond dynamically to environmental lighting—such as entering a tunnel, nightfall, or poor weather visibility—thus enhancing road safety and reducing driver distraction. This system typically employs a Light Dependent Resistor (LDR) or similar light sensor to detect lux levels and trigger high or low beam actuation accordingly.
The rapid evolution of the automotive industry has been driven by advances in embedded systems and communication technologies, leading to the development of intelligent and adaptive vehicle systems that enhance safety, user experience, and overall efficiency. Among these innovations, the Controller Area Network (CAN) protocol stands out as a critical communication backbone for invehicle networking. Originally developed by Bosch in the 1980s, CAN enables multiple microcontrollers and electronic control units (ECUs) to communicate with each other in real-time, without the need for a central host computer. Its robustness, high fault tolerance, and low latency make it an ideal choice for automotive applications, particularly where reliability and deterministic data transmission are essential.
Meanwhile, indicator lights and door locks, while often manually operated, can be made more efficient and synchronized when integrated into a CAN-based system. For example, central door locking can be controlled through a single message on the CAN bus, eliminating the need for dedicated wiring to each actuator. Similarly, turn indicators can be managed centrally, allowing for smarter coordination with other functions such as hazard lights or automatic lane change systems.
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The proposed system is built on a microcontroller-based distributed node architecture, where each module (e.g., headlight, indicator, door lock) communicates via CAN messages using standard 11-bit identifiers. The headlight control node uses analog input
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