Abstract
Vehicle electrification is an increasingly popular design strategy for improving efficiency and reducing operating costs. This study uses an experimental and model-based approach to quickly and easily predict and optimize the efficiency of an electric bicycle system based on selection of critical parameters, including motor efficiency curves, rider behavior, mass, aerodynamics, and tire performance. The model is used to guide the construction of an electrified bicycle system to achieve the highest energy consumption performance among design alternatives. Tests of power consumption in actual usage show good agreement between the design predictions and measured performance.
| Original language | English (US) |
|---|---|
| Title of host publication | ASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012 |
| Pages | 875-880 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 2012 |
| Event | ASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012 - Fort Lauderdale, FL, United States Duration: Oct 17 2012 → Oct 19 2012 |
Publication series
| Name | ASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012 |
|---|---|
| Volume | 1 |
Other
| Other | ASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012 |
|---|---|
| Country/Territory | United States |
| City | Fort Lauderdale, FL |
| Period | 10/17/12 → 10/19/12 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
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