Partner objective​

Car manufacturer would like an embedded software that will optimally control the car using low cost sensors.

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Why NeurEco​

The companies conventional modeling was not able to account for all of the dynamic inputs.

NeurEco’s dynamic module accurately and efficiently produced an embedded algorithm that was able to control the car more that the Car Manufacturers engineers thought was possible.

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Benefits to the client

Development time reduction: the model has been created automatically with the default setting of NeurEco reducing the requirement for expensive sensors.

NeurEco reduced the energy consumption of the car.

The created model being small, it reduces the cost of the embedded equipment.