Intelligent Automotive Vehicle Control System Using CAN Protocol

Intelligent Automotive Vehicle Control System Using CAN Protocol with Arduino uno | Automotive control system using CAN protocol | INTELLIGENT VEHICLE CONTROL SYSTEM | can protocol | automotive projects using can protocol | vehicle speed control system using rf | embedded world | can protocol programming in embedded c | can bus | embedded systems | learn embedded systems | can protocol | embedded world | can protocol based embedded projects pdf | embedded systems explained | can protocol tutorial | automatic vehicle speed control using rf | vehicle speed control using Arduino | can bus system | vehicle safety application using can. *********************************************************** If You Want To Purchase the Full Working Project KIT Mail Us: svsembedded@gmail.com Title Name Along With You-Tube Video Link We are Located at Telangana, Hyderabad, Boduppal. Project Changes also Made according to Student Requirements http://svsembedded.com/  https://www.svskits.in/ http://svsembedded.in/  http://www.svskit.com/ M1: +91 9491535690  M2: +91 7842358459 We Will Send Working Model Project KIT through DTDC / DHL / Blue Dart / First Flight Courier Service We Will Provide Project Soft Data through Google Drive 1. Project Abstract / Synopsis 2. Project Related Datasheets of Each Component 3. Project Sample Report / Documentation 4. Project Kit Circuit / Schematic Diagram 5. Project Kit Working Software Code 6. Project Related Software Compilers 7. Project Related Sample PPT’s 8. Project Kit Photos 9. Project Kit Working Video links Latest Projects with Year Wise YouTube video Links 157 Projects  https://svsembedded.com/ieee_2022.php 135 Projects  https://svsembedded.com/ieee_2021.php 151 Projects  https://svsembedded.com/ieee_2020.php 103 Projects  https://svsembedded.com/ieee_2019.php 61 Projects  https://svsembedded.com/ieee_2018.php 171 Projects  https://svsembedded.com/ieee_2017.php 170 Projects  https://svsembedded.com/ieee_2016.php 67 Projects  https://svsembedded.com/ieee_2015.php 55 Projects  https://svsembedded.com/ieee_2014.php 43 Projects  https://svsembedded.com/ieee_2013.php 1100+ Projects https://www.svskit.com/2022/02/900-pr... *********************************************************** Developing an Intelligent Automotive Vehicle Control System using the Controller Area Network (CAN) protocol and Arduino Uno can be a fascinating project. CAN is a widely used communication protocol in the automotive industry for enabling reliable communication between various electronic control units (ECUs) within a vehicle. Here's an overview of how you can approach building such a system: Materials Needed: 1. Arduino Uno board 2. CAN-BUS Shield (e.g., MCP2515 CAN controller with TJA1050 CAN transceiver) 3. Sensors (e.g., ultrasonic sensors for obstacle detection) 4. Actuators (e.g., motors or servos for vehicle control) 5. Vehicle model (toy car or custom-built platform) 6. Power supply (battery or external power source) 7. Connecting wires Step 1: Set Up CAN Communication 1. Connect the CAN-BUS Shield to the Arduino Uno. 2. Install the necessary library for the MCP2515 CAN controller. You can use libraries like "mcp_can" to facilitate CAN communication. 3. Initialize the CAN controller and set the baud rate according to your vehicle's specifications (usually 500kbps for automotive applications). 4. Implement functions to send and receive CAN messages. Define the message format and structure to exchange data between different ECUs. Step 2: Implement Sensor Integration 1. Connect the sensors (e.g., ultrasonic sensors) to the Arduino Uno. 2. Write code to read data from the sensors. 3. Process the sensor data and convert it into appropriate CAN messages. 4. Send the sensor data as CAN messages to other ECUs or the main vehicle controller. Step 3: Implement Actuator Control 1. Connect the actuators (e.g., motors or servos) to the Arduino Uno. 2. Define the control logic for the actuators based on the received CAN messages. 3. Act on the received messages and control the actuators accordingly. Step 4: Develop Intelligent Control Logic 1. Implement intelligent control algorithms to make decisions based on sensor data and other inputs. 2. Use the data from the sensors to implement features like obstacle detection, collision avoidance, lane-keeping, etc. 3. Combine sensor data with decision-making logic to create an intelligent control system. Step 5: Assemble and Test 1. Assemble all the components on the vehicle model (toy car or custom-built platform). 2. Upload the Arduino code to the Arduino Uno. 3. Power up the system and test the functionality. 4. Debug and refine your code to ensure everything works as intended. Keep in mind that building an intelligent automotive control system requires a good understanding of both hardware and software development.