Electric/Hybrid Vehicle Propulsion System

Tecnalia is experienced in the automotive sector and in the development of controllers embedded in powertrain ECUs. Implementing three models that emulate the unavailable functioning and communications electronic control units (ECUs) for an electric/hybrid vehicle propulsion system.

more...
DOWNLOAD FULL CASE STUDY PDF

Please submit your business email to receive the full National Instruments case study in your inbox:

Download
  • VENDOR
  • CUSTOMER
  • Tecnalia Research & Innovation has been born out of the merger between Cidemco, ESI, Euve, Fatronik, Inasmet, Labein, Leia and Robotiker, thus creating the largest private Research, Development and Innovation group in Spain and one of the leading ones in Europe, with a staff of over 1,400 people.

  • SOLUTION
  • Using LabVIEW software to develop the real-time modeling of the virtual ECUs needed to test the control systems. LabVIEW is a development environment designed specifically to accelerate the productivity of engineers and scientists. Software Components - LabVIEW software

  • DATA COLLECTED
  • Control system data, ECU functionality data, engine's par, engine's efficiency, engine's speed, thermal image, battery's load charge level
  • OPERATIONAL IMPACT
  • Impact #1

    High Acceptance - Better user acceptance and integration in existing environment with less operative training is required.

    Impact #2

    R&D costs - Programming time, production time, and integrating time are shortened which saves on automotive control system development costs.

    Impact #3

    End-to-end Service Delivery - Deeper integration of information across departments and business units improves internal collaboration and end-to-end customer service.

  • QUANTITATIVE BENEFIT
  • INDUSTRIES
  • Automotive
  • FUNCTIONS
  • Product Development
  • ENABLED CAPABILITIES
  • Data Acquisition & Management
    Data Visualization
    Predictive Maintenance
  • CONNECTIVITY PROTOCOLS
  • Other frequency
  • RELATED CASE STUDIES
View Desktop Version
© 2019 IoT ONE