INDUSTRY
AUTOMOTIVE
Recent development of hybrid-electric vehicles (HEV) and electric vehicles (EV) has accelerated innovation and improved efficiency in electric motor controls, power conversion, and battery management systems. However, the algorithms driving these systems require continuous upgrades and design changes to optimize performance.
ASIC development cycles are too long to meet these rapidly evolving market demands, and today’s microcontrollers (MCUs) are unable to keep up with escalating performance requirements. Intel® FPGAs deliver hardware failsafe logic for insulated gate bipolar transistor (IGBT) bridge protection, efficient motor control with our model-based DSP Builder for Intel FPGAs design flow, and hardware acceleration with faster control loops to improve energy efficiency, reduce noise, and improve the reliability of electrical motors.
You can use FPGAs or CPLDs anywhere you need DSP to improve system performance, such as: on-board charger, traction inverter, DC/DC converter, motor control system and battery management system.
Automobile data analytics isn’t just about self-driving cars, data science and machine learning technologies can help keep auto organizations competitive by improving everything from research to design manufacturing to marketing processes.
Data science, machine learning, and ultimately AI, can improve efficiencies in every stage of automotive production, enabling organizations to cut costs, better serve customers, and perhaps most importantly develop new, innovative products.
Secure processing for data and creating machine learning models, with or without coding. User permissions are only useful when they’re enforceable, supports organization best practices surrounding secure data usage and storage etc. Many tools and platforms today supports analysis by non-technical users, cutting out inefficiencies and potential compliance concerns in traditional systems that require data teams to facilitate all access to data insights.
Unless machine learning models can be leveraged on a regular basis with real data, their insights are a curiosity at best.