Efficient Neural Network Implementations on Parallel Embedded Platforms Applied to Real-Time Torque-Vectoring Optimization Using Predictions for Multi-Motor Electric Vehicles

Efficient Neural Network Implementations on Parallel Embedded Platforms Applied to Real-Time Torque-Vectoring Optimization Using Predictions for Multi-Motor Electric Vehicles

The combination of machine learning and heterogeneous embedded platforms enables new potential for developing sophisticated control concepts which are applicable to the field of vehicle dynamics and ADAS. This interdisciplinary work provides enabler solutions -ultimately implementing fast prediction...

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Bibliographic Details
Main Authors: Martin Dendaluce Jahnke, Francesco Cosco, Rihards Novickis, Joshué Pérez Rastelli, Vicente Gomez-Garay
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Electronics
Subjects:
machine learning
neural networks
predictive
vehicle dynamics
electric vehicles
FPGA
GPU
parallel architectures
optimization
Online Access:https://www.mdpi.com/2079-9292/8/2/250

Internet

https://www.mdpi.com/2079-9292/8/2/250

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