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

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.

Product details

• Authors: Stefan Scheubner
• Publisher: KIT Scientific Publishing
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2022
• EAN: 9783731511663
• ISBN: 978-3-7315-1166-3
• No. of pages: 192
• Dimensions: 148 mm x 11 mm x 210 mm
• Weight: 370 g
• Illustrations: graph. Darst.
• Series: Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik
• Subject: Natural sciences, medicine, IT, technology > Technology > Mechanical engineering, production engineering