HomeElectronics NewsMotor Controller for Small Car Systems

Motor Controller for Small Car Systems

A chip controls BLDC and DC motors, supports software updates, adds memory, and combines motor control, communication, and protection in one device.

TDK introduces HVC 5422C embedded motor controller for silent BLDC applications up to 1A
TDK introduces HVC 5422C embedded motor controller for silent BLDC applications up to 1A

TDK Corporation has announced the Micronas HVC 5422C, an automotive-qualified embedded motor controller for brushed DC (BDC) and brushless DC (BLDC) motors. The device combines field-oriented control (FOC), higher memory capacity, integrated communication, and software flexibility for compact automotive actuators used in thermal management systems such as grille shutters, valves, airflow control systems, and other comfort and efficiency functions. 

The motor is designed to help automotive manufacturers address increasing requirements for acoustic comfort, energy efficiency, and system integration. It supports both sensored and sensorless BLDC motor-control concepts, allowing designers to choose the motor-control architecture that best suits their application.

The device integrates three half-bridges capable of driving up to 1A peak current, together with an Arm Cortex-M3 CPU, 64KB Flash memory, and 4KB EEPROM. The single-chip architecture combines motor control, communication, and system functions.

Compared with earlier devices in the HVC 5x family, the increased memory capacity enables more advanced control algorithms, enhanced diagnostics, and application-specific features. It also provides the resources needed for over-the-air (OTA) software updates, helping engineers reduce system complexity and bill-of-materials (BOM) cost while offering greater flexibility for future designs.

To simplify system integration, the HVC 5422C incorporates an integrated LIN transceiver with auto-addressing, seven GPIOs, and a built-in 3.3V supply output for external sensors and peripheral functions. It also includes diagnostic and protection features to improve system reliability.

Key features include:

  • Automotive-qualified integrated motor controller
  • Arm Cortex-M3 CPU with 64KB Flash memory and 4KB EEPROM
  • Three integrated half-bridges with up to 1A peak drive current
  • Field-oriented control (FOC) for smooth and silent motor operation
  • Support for both sensored and sensorless BLDC motor control
  • Integrated LIN transceiver with auto-addressing
  • Seven GPIOs and integrated 3.3V supply output
  • 256-bit encryption for software and intellectual property protection
  • Compact 5 × 5 mm² PQFN24 package

For software protection, the controller features a 256-bit encryption mechanism that helps secure application software and intellectual property after programming.

Click here for the original announcement.

Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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