CAN MCP2515

CAN MCP2515

KShs 700.00

A high-performance CAN bus controller module based on the MCP2515 + TJA1050 transceiver, ideal for automotive, industrial, and robotics communication projects using Arduino, ESP32, Raspberry Pi, and other microcontrollers.

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Description

CAN MCP2515 is a commonly used component in embedded systems, prototyping, and automation projects.

The MCP2515 CAN Bus Module is a powerful and reliable controller + transceiver combo used to add Controller Area Network (CAN) communication to your microcontroller projects. It integrates the MCP2515 CAN controller and TJA1050 high-speed CAN transceiver, allowing stable communication in noisy industrial environments.

This module provides an SPI interface for easy connection to boards such as Arduino, ESP8266, ESP32, STM32, and Raspberry Pi. It fully supports CAN 2.0B protocol and offers data rates up to 1Mbps, making it suitable for automotive ECUs, robotics, industrial sensors, battery management systems, and automation networks.

Whether you’re reverse-engineering vehicle CAN data, building a BMS, or implementing distributed sensors, the MCP2515 module delivers reliable and robust performance.


Key Features

  • MCP2515 CAN Controller with SPI interface

  • TJA1050 High-Speed CAN Transceiver

  • Fully compliant with CAN 2.0A/B protocols

  • Supports up to 1Mbps data rate

  • Hardware message filtering and masks

  • 5V operating voltage

  • Screw terminals for easy CAN-H / CAN-L wiring

  • Onboard 8MHz crystal for stable communication

  • Compatible with Arduino, ESP32, ESP8266, STM32, Raspberry Pi

  • High noise immunity for industrial environments


Specifications

Feature Details
Controller MCP2515 (SPI)
Transceiver TJA1050
CAN Protocol CAN 2.0A / 2.0B
Speed Up to 1Mbps
Interface SPI (CS, SCK, MOSI, MISO, INT)
Operating Voltage 5V
Crystal Frequency 8MHz
CAN Bus Terminals CANH, CANL
Dimensions ~55mm x 45mm

Applications

  • Automotive CAN Network (ECUs, OBD-II, dashboard systems)

  • Battery Management Systems (BMS)

  • Robotics and automation

  • Industrial control and sensors

  • CAN-based communication research

  • Distributed embedded systems

  • Electric vehicles and motor controllers

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