Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models

Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
Author :
Publisher : KIT Scientific Publishing
Total Pages : 190
Release :
ISBN-10 : 9783731511663
ISBN-13 : 3731511665
Rating : 4/5 (665 Downloads)

Book Synopsis Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models by : Scheubner, Stefan

Download or read book Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models 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. 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.


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