Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
Download or Read eBook Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models PDF written by Scheubner, Stefan and published by KIT Scientific Publishing. This book was released on 2022-06-03 with total page 190 pages. Available in PDF, EPUB and Kindle.
| Author | : Scheubner, Stefan |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 190 |
| Release | : 2022-06-03 |
| ISBN-10 | : 9783731511663 |
| ISBN-13 | : 3731511665 |
| Rating | : 4/5 (63 Downloads) |
Book Synopsis Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models by : Scheubner, Stefan
Book excerpt: This work aims at improving the energy consumption forecast of electric vehicles by enhancing the prediction with a notion of uncertainty. The algorithm itself learns from driver and traffic data in a training set to generate accurate, driver-individual energy consumption forecasts.
