Accelerating the
Industrial Internet of Things

Electric/Hybrid Vehicle Propulsion System

Electric/Hybrid Vehicle Propulsion System
Electric/Hybrid Vehicle Propulsion System
Electric/Hybrid Vehicle Propulsion System
Electric/Hybrid Vehicle Propulsion System
Electric/Hybrid Vehicle Propulsion System
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Feature New Record
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.
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.
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
Control system data, ECU functionality data, engine's par, engine's efficiency, engine's speed, thermal image, battery's load charge level
Emerging (technology has been on the market for >2 years)
High Acceptance - Better user acceptance and integration in existing environment with less operative training is required.
R&D costs - Programming time, production time, and integrating time are shortened which saves on automotive control system development costs.
End-to-end Service Delivery - Deeper integration of information across departments and business units improves internal collaboration and end-to-end customer service.
The IoT ONE Radar indicates the mix of hardware, software and services used in an IoT solution.
Processors provide the intelligence behind IoT systems and are often integrated into system-on-a-chip designs.
Technologies that enable legacy devices and other systems to connect to the IoT. They integrate technologies and protocols for networking.
Products used by end users that contain IoT technologies. Examples include enabled equipment, wearables, hand-held scanners, and tracking devices.
Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management).
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
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