A novel e‐bike energy management for improvement of the rider metabolism
Abstract In this study, a switch controller manages the power‐sharing between the battery and human mode to improve the rider's metabolism and manage the battery SOC. The main idea is to optimize this power source switching element for changing the status to reach a trade‐off between lack of ti...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2023-10-01
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Series: | IET Intelligent Transport Systems |
Subjects: | |
Online Access: | https://doi.org/10.1049/itr2.12388 |
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author | Sohrab Ebnealipour Masoud Masih‐Tehrani Hossein Nazemian |
author_facet | Sohrab Ebnealipour Masoud Masih‐Tehrani Hossein Nazemian |
author_sort | Sohrab Ebnealipour |
collection | DOAJ |
description | Abstract In this study, a switch controller manages the power‐sharing between the battery and human mode to improve the rider's metabolism and manage the battery SOC. The main idea is to optimize this power source switching element for changing the status to reach a trade‐off between lack of tiredness and keeping the SOC high. Calorie burning is closely related to the rider's physical characteristics. In this paper, these parameters are investigated to calculate calorie burning. When the electric‐powered mode is activated, the SOC level comes down. When the human‐powered mode is activated, the human power source provides energy. The model converts the bicycle speed into the rider's heart rate and then changes it into burned calories based on some equations. These equations are obtained by poly fitting after experiments. This optimization causes 33.5% and 50% burning calorie reduction in Cleaveland and Portuguese driving cycles. Also, in the Portuguese driving cycle, the battery usage percentage decreases 39.56% from to 20.54% after optimization; therefore, the burning calorie decreases 265.84 Kcal to 176.83 Kcal. |
first_indexed | 2024-03-11T18:16:09Z |
format | Article |
id | doaj.art-601f8f2f4f9f42598be0abde1a79d34a |
institution | Directory Open Access Journal |
issn | 1751-956X 1751-9578 |
language | English |
last_indexed | 2024-03-11T18:16:09Z |
publishDate | 2023-10-01 |
publisher | Wiley |
record_format | Article |
series | IET Intelligent Transport Systems |
spelling | doaj.art-601f8f2f4f9f42598be0abde1a79d34a2023-10-16T07:25:49ZengWileyIET Intelligent Transport Systems1751-956X1751-95782023-10-0117101964197810.1049/itr2.12388A novel e‐bike energy management for improvement of the rider metabolismSohrab Ebnealipour0Masoud Masih‐Tehrani1Hossein Nazemian2Vehicle Dynamical System Research Lab, School of Automotive Engineering Iran University of Science and Technology Tehran IranVehicle Dynamical System Research Lab, School of Automotive Engineering Iran University of Science and Technology Tehran IranVehicle Dynamical System Research Lab, School of Automotive Engineering Iran University of Science and Technology Tehran IranAbstract In this study, a switch controller manages the power‐sharing between the battery and human mode to improve the rider's metabolism and manage the battery SOC. The main idea is to optimize this power source switching element for changing the status to reach a trade‐off between lack of tiredness and keeping the SOC high. Calorie burning is closely related to the rider's physical characteristics. In this paper, these parameters are investigated to calculate calorie burning. When the electric‐powered mode is activated, the SOC level comes down. When the human‐powered mode is activated, the human power source provides energy. The model converts the bicycle speed into the rider's heart rate and then changes it into burned calories based on some equations. These equations are obtained by poly fitting after experiments. This optimization causes 33.5% and 50% burning calorie reduction in Cleaveland and Portuguese driving cycles. Also, in the Portuguese driving cycle, the battery usage percentage decreases 39.56% from to 20.54% after optimization; therefore, the burning calorie decreases 265.84 Kcal to 176.83 Kcal.https://doi.org/10.1049/itr2.12388automotive electricsbicycleselectric vehiclesenergy management systemsoptimisation |
spellingShingle | Sohrab Ebnealipour Masoud Masih‐Tehrani Hossein Nazemian A novel e‐bike energy management for improvement of the rider metabolism IET Intelligent Transport Systems automotive electrics bicycles electric vehicles energy management systems optimisation |
title | A novel e‐bike energy management for improvement of the rider metabolism |
title_full | A novel e‐bike energy management for improvement of the rider metabolism |
title_fullStr | A novel e‐bike energy management for improvement of the rider metabolism |
title_full_unstemmed | A novel e‐bike energy management for improvement of the rider metabolism |
title_short | A novel e‐bike energy management for improvement of the rider metabolism |
title_sort | novel e bike energy management for improvement of the rider metabolism |
topic | automotive electrics bicycles electric vehicles energy management systems optimisation |
url | https://doi.org/10.1049/itr2.12388 |
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