My Account Log in

1 option

A Concept for Functional Modelling of an E-Bike Powertrain Karlsruhe University of Applied Sciences

SAE Technical Papers (1906-current) Available online

View online
Format:
Book
Conference/Event
Author/Creator:
Rauch, Yannick, author.
Contributor:
Kettner, Maurice
Kriesten, Reiner
Conference Name:
2024 Small Powertrains and Energy Systems Technology Conference (2024-11-04 : Bangkok, Thailand)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2025
Summary:
The increasing popularity of e-bikes, especially pedelecs, has led to a growing interest in consideration of e-bike cycling. To achieve a deeper understanding on the process of e-bike cycling and in particular the effects on the rider it can be instrumental to use simulation methods. In this context, the e-bike drive system and its function are of central importance for e-bikes. Therefore, this work proposes a functional modeling of the powertrain of an e-bike with a mid-drive motor, considering legal constraints and support functionalities. The model incorporates the mechanical transmission between pedals, motor, and crank shaft, allowing for a detailed analysis of the e-bike's performance. Additionally, the support mechanism is depicted, where an electric motor amplifies the rider's pedaling torque. The electrical behavior of the motor, energy consumption, and battery state of charge are also integrated into the model. This comprehensive approach aims to provide a generic representation of e-bike systems, considering real-world functionalities and constraints. The generic model structure also allows to achieve a modularity of sub-models to consider different level of detail. This is demonstrated by implementing a simplified and a detailed model of the battery, which allows an evaluation of the simplified approach. Finally, measurements of a real e-bike system are used to evaluate the model of the e-bike system. These serve as an input for the simulation so that the results calculated by the model can be compared with real-world data
Notes:
Vendor supplied data
Publisher Number:
2024-32-0017
Access Restriction:
Restricted for use by site license

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account