Power Efficient e-Bike with Terrain Adaptive Intelligence

Title

Power Efficient e-Bike with Terrain Adaptive Intelligence

Creator

Abhilash D.S.H.; Wani I.; Joseph K.; Jha R.; Haneesh K.M.

Description

Electric bicycles or e-bikes are gaining momentum in the market as they are offering a smooth, noiseless and pollution free option for individual transportation in cities as well as in countryside. E-bikes are usually with a battery powered electric motor drive with an additional option for pedaling. In this work a low cost e-bike was designed and developed with a brushless DC hub motor with controllers. For smart control, smartphone was used a console and the e-bike can be controlled using a mobile application which was connected to the e-bike through Bluetooth. The controller will pick the gradient of the terrain and will control the power of the motor, which results in energy saving. Predicted range of the e-bike, speed, acceleration and total distance covered were displayed in the console along with the geographical position on the map and throttle control options. The bike with the proposed control tested and the results were giving a reduction in current drawn from the battery. 2019 IEEE.

Source

Proceedings of the 4th International Conference on Communication and Electronics Systems, ICCES 2019, pp. 1148-1153.

Date

2019-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

E-mobility; Electric bicycle; Intelligent control; Range prediction; Terrain intelligence

Coverage

Abhilash D.S.H., Electrical and Electronics Engineering, CHRIST (Deemed to Be University), Bangalore, India; Wani I., Electrical and Electronics Engineering, CHRIST (Deemed to Be University), Bangalore, India; Joseph K., Electrical and Electronics Engineering, CHRIST (Deemed to Be University), Bangalore, India; Jha R., Electrical and Electronics Engineering, CHRIST (Deemed to Be University), Bangalore, India; Haneesh K.M., Electrical and Electronics Engineering, CHRIST (Deemed to Be University), Bangalore, India

Rights

Restricted Access

Relation

ISBN: 978-172811261-9

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICCES45898.2019.9002178

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