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Embedded Processing: The Intelligence Powering the All Electric Society

From real-time grid control to AI-driven industrial automation, EBV provides the scalable semiconductor backbone for a sustainable, electrified future.

EBV - AES - Embedded Processing - Challenges Info Grid

Navigating the Complexity of Industrial Intelligence

Performance vs. Power

Balancing high-speed processing with strict energy efficiency requirements.

 

Data Overload at the Edge

Reducing bandwidth and latency by processing data at the source rather than the cloud.

 

Scalability & Longevity

Ensuring industrial designs remain viable for 10+ years in a fast-evolving market.

 

Interoperability

Managing diverse communication protocols (TSN, EtherCAT, MQTT) within a single architecture.

 

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Technology–Application Matrix

Focus Topic Embedded Technology Key Application Solution Categories
Energy Infrastructure Real-time MCUs / DSPs Smart Grids, Inverters, Smart Meters
Green Industry High-end MPUs & SoCs Robotics, Variable Speed Drives (VSD)
Clean Mobility Safety-certified MCUs EV Charging, Battery Management (BMS)
Living Infrastructure Low-power MCUs & HMI Building Automation, Smart Lighting
Smart Agriculture Edge AI & Vision Processors Agribots, Precision Farming Sensors

 

 

EBV - AES - Embedded Processing - Segments Tabs

  • Energy Infrastructure
  • Green Industry
  • Transportation
  • Building Management
  • Smart Agriculture

Controllers for Tomorrow’s Smart Energy

Safe operation is essential for all battery storage systems. This is ensured by advanced battery management systems (BMS) that use modern chipsets for diagnostics and analysis – preserving battery health and ensuring a long, trouble-free life.

Modern SSCBs require powerful control units to handle sophisticated functions. Integrated software and digital control enable programmable triggers and remote operation, including monitoring, diagnostics, and resetting.

These units use MCUs, embedded security, and secure elements to protect devices against cyber threats and ensure secure data exchange.

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More Intelligence in Manufacturing

Automation requires computing power at every level: from compact, low‑power microcontrollers (MCUs) to microprocessors (MPUs) for complex tasks, and AI accelerators that enhance autonomy, vision, and edge computing in smart factories. Edge AI enables real‑time decision‑making in robotics and energy management, improving responsiveness while reducing bandwidth usage and latency.

Rising automation also increases the need for functional safety and cybersecurity, requiring advanced processors and smart sensors. In drive systems, inverter‑based digital motor control reduces energy use, boosts performance, and enables new applications in sustainable manufacturing. A new generation of MCUs integrates timers, peripherals, and safety features for cost‑effective motor control and secure communication.

Greater connectivity across all factory levels also raises the risk of cyberattacks. Hardware‑based security solutions – such as secure elements with integrated memory, crypto algorithms, and secure key storage – offer essential protection and complement software security, forming a robust, multi‑layered defence.

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Computing Power Extends Range

The heart of every electric vehicle lies in its power electronic systems: traction inverter, onboard charger and high-voltage DC/DC converter. Their performance directly influences driving dynamics, cost, range and charging time. The capabilities of the microcontrollers (MCUs) – for real-time control and complex calculations – have a decisive impact here.

High-performance MCUs in traction inverters can achieve motor speeds above 30,000 rpm, reduce motor size and increase range by optimising torque and efficiency.

MCUs with PWM peripherals supporting switching frequencies above 1 MHz enable power stages based on wide-bandgap technologies like SiC and GaN, improving overall drive efficiency. Electric vehicle supply equipment (EVSE) and onboard chargers (OBC) also rely on controllers to monitor and manage charging processes and power conversion stages.

These controllers ensure safe, accurate and efficient battery charging, while also enabling remote control, smart charging, vehicle-to-grid (V2G), vehicle-to-home (V2H) and vehicle-to-building (V2B) functionality.

Find out more in EV Charging Infrastructure Designbook, Volume Two: Control.

The trend towards automated and autonomous driving improves traffic flow and can reduce energy consumption by an estimated 4 to 10 percent. To take over driving functions, on-board computing platforms must process data from radar, LiDAR and camera systems in real time.

Embedded processors with integrated AI accelerators enable edge AI for sensor fusion, reducing latency and off-board network traffic. Hardware-based security – including secure boot, encryption engines, tamper detection and trusted execution environments (TEE) – protects connected vehicles and charging infrastructure against cyberattacks.

Learn more about EBV’s automotive sensing and hardware-based security solutions.

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From Microcontrollers to HMI

Devices for building automation – from sensors and controllers to full HMIs – rely on efficient embedded processing to run control algorithms, user interfaces and communication stacks. Choosing the right System-on-Chip (SoC), industrial PC or microcontroller reduces power consumption, simplifies design and supports long-term scalability.
 

System-on-Chip Solutions for Energy-Efficient Devices

Devices for building automation – from IoT sensors to human-machine interfaces – must be compact and energy-efficient. System-on-Chip (SoC) solutions integrate all required functions into a single chip. This reduces power consumption, extends battery life, lowers component costs and simplifies assembly.
 

HMI Panels and Control Systems

Building automation systems operate via control panels that often serve multiple functions – climate control, access management, smoke and fire detection. Some controllers combine several functions; others focus on a single task. Modern HMI panels allow users to interact with the entire system using touchscreens or voice control, improving ease of use and reducing operational costs.
 

Microcontroller Units for Smart Systems

Microcontroller units (MCUs) are central to building automation systems and smart streetlights. They control devices, manage energy-efficient operation by adjusting lighting levels and schedules, enable remote monitoring and fault detection, and communicate with central management systems. MCUs provide the intelligence needed for responsive, efficient building control.

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From Lighting Control to Environmental Awareness

Agribots and drones rely on numerous sensors to perform tasks autonomously. The large volume of sensor data requires powerful processing - often directly on the device (edge computing). For image processing and artificial intelligence (AI) at the edge, dedicated processors are increasingly used to run deep‑learning models in real time.

Many computer‑vision and AI applications need digital signal processors (DSPs) or GPU/ML architectures. General‑purpose, image‑processing and FPGA‑based SoCs, adaptive SoCs and GPUs/NPUs offer strong performance for neural networks and hardware acceleration in autonomous systems used in precision agriculture. Discover EBV Elektronik’s range of MCUs and machine‑vision solutions.

In horticultural lighting, MCUs act as the system’s brain. They control LED dimming, switching and colour temperature based on sensor data and control inputs. In addition to standard interfaces (UART, SPI, I²C), they support lighting‑specific protocols such as DALI, DMX512 and RDM. Explore our lighting‑control solutions in the Embedded Processing segment.

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Frequently Asked Questions:

 

While local processing requires more initial power, it eliminates the energy-heavy continuous transmission of raw data to the cloud, often reducing total system power consumption by up to 90%.
A Smart BMS integrates intelligent algorithms and communication interfaces for real-time data analysis and predictive maintenance, whereas a Hardware BMS focuses solely on basic protection like voltage and temperature monitoring.
To maintain grid stability, systems must respond to fluctuations in renewable energy supply within milliseconds. Embedded processors with dedicated real-time domains ensure deterministic control of inverters and smart meters.