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Sensors, v.23 no.10, 2023년, pp.4657 -
Ho, Ping-Jui (Department of Mechanical Engineering, National Taiwan University, Taipei 106319, Taiwan) , Yi, Chen-Pei (d09522012@ntu.edu.tw (P.-J.H.)) , Lin, Yi-Jen (f09522808@ntu.edu.tw (C.-P.Y.)) , Chung, Wei-Der (f08522816@ntu.edu.tw (Y.-J.L.)) , Chou, Po-Huan (Department of Mechanical Engineering, National Taiwan University, Taipei 106319, Taiwan) , Yang, Shih-Chin (d09522012@ntu.edu.tw (P.-J.H.))
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This paper proposes a novel torque measurement and control technique for cycling-assisted electric bikes (E-bikes) considering various external load conditions. For assisted E-bikes, the electromagnetic torque from the permanent magnet (PM) motor can be controlled to reduce the pedaling torque gener...
1. Lee J. Jiang J. Sun Y. Design and simulation of control systems for electric-assist bikes Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA) Hefei, China 5–7 June 2016 1736 1740
2. Hunt K.J. Stone B. Negard N.O. Schauer T. Fraser M.H. Cathcart A.J. Ferrario C. Ward S.A. Grant S. Control strategies for integration of electric motor assist and functional electrical stimulation in paraplegic cycling: Utility for exercise testing and mobile cycling IEEE Trans. Neural Syst. Rehabil. Eng. 2004 12 89 101 10.1109/TNSRE.2003.819955 15068192
3. Lozinski J. Heidary S.H. Brandon S.C.E. Komeili A. An Adaptive Pedaling Assistive Device for Asymmetric Torque Assistant in Cycling Sensors 2023 23 2846 10.3390/s23052846 36905050
4. Zaghari B. Stuikys A. Weddell A.S. Beeby S. Efficient Energy Conversion in Electrically Assisted Bicycles Using a Switched Reluctance Machine Under Torque Control IEEE Access 2020 8 202401 202411 10.1109/ACCESS.2020.3036373
5. Palmieri G. Tiboni M. Legnani G. Analysis of the Upper Limitation of the Most Convenient Cadence Range in Cycling Using an Equivalent Moment Based Cost Function Mathematics 2020 8 1947 10.3390/math8111947
6. Balbinot A. Milani C. Nascimento J.D.S.B. A New Crank Arm-Based Load Cell for the 3D Analysis of the Force Applied by a Cyclist Sensors 2014 14 22921 22939 10.3390/s141222921 25479325
7. Böhm H. Siebert S. Walsh M. Effects of short-term training using SmartCranks on cycle work distribution and power output during cycling Eur. J. Appl. Physiol. 2008 103 225 232 10.1007/s00421-008-0692-z 18273633
8. Turpin N.A. Watier B. Cycling Biomechanics and Its Relationship to Performance Appl. Sci. 2020 10 4112 10.3390/app10124112
9. Caldwell G.E. Li L. McCole S.D. Hagberg J.M. Pedal and Crank Kinetics in Uphill Cycling J. Appl. Biomech. 1998 14 245 259 10.1123/jab.14.3.245 28121253
10. Bini R. Hume P. Croft J. Kilding A. Pedal force effectiveness in cycling: A review of constraints and training effects J. Sci. Cycl. 2013 2 11 24
11. Höchtl F. Böhm H. Senner V. Prediction of energy efficient pedal forces in cycling using musculoskeletal simulation models Procedia Eng. 2010 2 3211 3215 10.1016/j.proeng.2010.04.134
12. Tang Y. Wang D. Wang Y. Yin K. Zhang C. Zou L. Liu Y. Do Surface Slope and Posture Influence Lower Extremity Joint Kinetics during Cycling? Int. J. Environ. Res. Public Health 2020 17 2846 10.3390/ijerph17082846 32326216
13. Martín-Sosa E. Chaves V. Alvarado I. Mayo J. Ojeda J. Design and Validation of a Device Attached to a Conventional Bicycle to Measure the Three-Dimensional Forces Applied to a Pedal Sensors 2021 21 4590 10.3390/s21134590 34283156
14. Mandriota R. Fabbri S. Nienhaus M. Grasso E. Sensorless Pedalling Torque Estimation Based on Motor Load Torque Observation for Electrically Assisted Bicycles Actuators 2021 10 88 10.3390/act10050088
15. Avina-Bravo E.G. Cassirame J. Escriba C. Acco P. Fourniols J.-Y. Soto-Romero G. Smart Electrically Assisted Bicycles as Health Monitoring Systems: A Review Sensors 2022 22 468 10.3390/s22020468 35062429
16. Evans S.A. James D.A. Rowlands D. Lee J.B. Evaluation of Accelerometer-Derived Data in the Context of Cycling Cadence and Saddle Height Changes in Triathlon Sensors 2021 21 871 10.3390/s21030871 33525481
17. Murgano E. Caponetto R. Pappalardo G. Cafiso S.D. Severino A. A Novel Acceleration Signal Processing Procedure for Cycling Safety Assessment Sensors 2021 21 4183 10.3390/s21124183 34207148
18. Hollaus B. Volmer J.C. Fleischmann T. Cadence Detection in Road Cycling Using Saddle Tube Motion and Machine Learning Sensors 2022 22 6140 10.3390/s22166140 36015900
19. Pérez-Zuriaga A.M. Llopis-Castelló D. Just-Martínez V. Fonseca-Cabrera A.S. Alonso-Troyano C. García A. Implementation of a Low-Cost Data Acquisition System on an E-Scooter for Micromobility Research Sensors 2022 22 8215 10.3390/s22218215 36365913
20. Bruno S. Vita L. Loprencipe G. Development of a GIS-Based Methodology for the Management of Stone Pavements Using Low-Cost Sensors Sensors 2022 22 6560 10.3390/s22176560 36081019
21. Pan L. Xia Y. Xing L. Song Z. Xu Y. Exploring Use Acceptance of Electric Bicycle-Sharing Systems: An Empirical Study Based on PLS-SEM Analysis Sensors 2022 22 7057 10.3390/s22187057 36146406
22. Stilo L. Lugo H. Velandia D.S. Conway P.P. West A.A. Personalised Controller Strategies for Next Generation Intelligent Adaptive Electric Bicycles IEEE Trans. Intell. Transp. Syst. 2021 22 7814 7825 10.1109/TITS.2020.3009400
23. De La Iglesia D.H. De Paz J.F. Villarrubia González G. Barriuso A.L. Bajo J. Corchado J.M. Increasing the Intensity over Time of an Electric-Assist Bike Based on the User and Route: The Bike Becomes the Gym Sensors 2018 18 220 10.3390/s18010220 29342900
24. Meyer D. Körber M. Senner V. Tomizuka M. Regulating the Heart Rate of Human–Electric Hybrid Vehicle Riders Under Energy Consumption Constraints Using an Optimal Control Approach IEEE Trans. Control. Syst. Technol. 2019 27 2125 2138 10.1109/TCST.2018.2852743
25. Muetze A. Tan Y.C. Electric bicycles—A performance evaluation IEEE Ind. Appl. Mag. 2007 13 12 21 10.1109/MIA.2007.4283505
26. De La Iglesia D.H. Villarrubia G. De Paz J.F. Bajo J. Multi-Sensor Information Fusion for Optimizing Electric Bicycle Routes Using a Swarm Intelligence Algorithm Sensors 2017 17 2501 10.3390/s17112501 29088087
27. Allebosch G. Van den Bossche S. Veelaert P. Philips W. Camera-Based System for Drafting Detection While Cycling Sensors 2020 20 1241 10.3390/s20051241 32106442
28. Gómez-Suárez J. Arroyo P. Alfonso R. Suárez J.I. Pinilla-Gil E. Lozano J. A Novel Bike-Mounted Sensing Device with Cloud Connectivity for Dynamic Air-Quality Monitoring by Urban Cyclists Sensors 2022 22 1272 10.3390/s22031272 35162017
29. Królak A. Wiktorski T. Bjørkavoll-Bergseth M.F. Ørn S. Artifact Correction in Short-Term HRV during Strenuous Physical Exercise Sensors 2020 20 6372 10.3390/s20216372 33171676
30. Avina-Bravo E.G. Sodre Ferreira de Sousa F.A. Escriba C. Acco P. Giraud F. Fourniols J.-Y. Soto-Romero G. Design and Validity of a Smart Healthcare and Control System for Electric Bikes Sensors 2023 23 4079 10.3390/s23084079 37112419
31. Shahbakhti M. Hakimi N. Horschig J.M. Floor-Westerdijk M. Claassen J. Colier W.N.J.M. Estimation of Respiratory Rate during Biking with a Single Sensor Functional Near-Infrared Spectroscopy (fNIRS) System Sensors 2023 23 3632 10.3390/s23073632 37050692
32. Li X. Liu Z. Gao X. Zhang J. Bicycling Phase Recognition for Lower Limb Amputees Using Support Vector Machine Optimized by Particle Swarm Optimization Sensors 2020 20 6533 10.3390/s20226533 33203169
33. Liu S.-H. Lin C.-B. Chen Y. Chen W. Huang T.-S. Hsu C.-Y. An EMG Patch for the Real-Time Monitoring of Muscle-Fatigue Conditions During Exercise Sensors 2019 19 3108 10.3390/s19143108 31337107
34. Muyor J.M. Antequera-Vique J.A. Oliva-Lozano J.M. Arrabal-Campos F.M. Evaluation of Dynamic Spinal Morphology and Core Muscle Activation in Cyclists—A Comparison between Standing Posture and on the Bicycle Sensors 2022 22 9346 10.3390/s22239346 36502048
35. Fonda B. Sarabon N. Biomechanics and Energetics of Uphill Cycling: A review Kinesiology 2012 44 5 17
36. Corno M. Berretta D. Spagnol P. Savaresi S.M. Design, Control, and Validation of a Charge-Sustaining Parallel Hybrid Bicycle IEEE Trans. Control. Syst. Technol. 2016 24 817 829 10.1109/TCST.2015.2473821
37. Yang Y. Yeo J. Priya S. Harvesting Energy from the Counterbalancing (Weaving) Movement in Bicycle Riding Sensors 2012 12 10248 10258 10.3390/s120810248 23112598
38. Martirosyan A.V. Ilyushin Y.V. Afanaseva O.V. Development of a Distributed Mathematical Model and Control System for Reducing Pollution Risk in Mineral Water Aquifer Systems Water 2022 14 151 10.3390/w14020151
39. Mohammadzaheri M. Chen L. Intelligent Predictive Control of a Model Helicopter’s Yaw Angle Asian J. Control. 2010 12 667 679 10.1002/asjc.243
40. Chowdhury H. Alam F. Khan I. An Experimental Study of Bicycle Aerodynamics Int. J. Mech. Mater. Eng. 2011 6 269 274
41. Engineering ToolBox. 2008. Rolling Resistance Available online: https://www.engineeringtoolbox.com/rolling-friction-resistance-d_1303.html (accessed on 24 March 2022)
42. Roveri N. Pepe G. Mezzani F. Carcaterra A. Culla A. Milana S. OPTYRE—Real Time Estimation of Rolling Resistance for Intelligent Tyres Sensors 2019 19 5119 10.3390/s19235119 31766764
43. Bojoi R. Lazzari M. Profumo F. Tenconi A. Digital field oriented control for dual three-phase induction motor drives Proceedings of the Conference Record of the 2002 IEEE Industry Applications Conference, 37th IAS Annual Meeting Pittsburgh, PA, USA 13–18 October 2002 Volume 2 818 825
44. Mohammadzahri M. Khaleghifar A. Ghodsi M. Soltani P. AlSulti S. A Discrete Approach to Feedback Linearization, Yaw Control of an Unmanned Helicopter Unmanned Syst. 2023 11 57 66 10.1142/S2301385023500012
45. Morimoto S. Sanada M. Takeda Y. Sinusoidal current drive system of permanent magnet synchronous motor with low resolution position sensor Proceedings of the IAS ‘96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting San Diego, CA, USA 6–10 October 1996 Volume 1 9 14 10.1109/IAS.1996.556990
46. Shen J.X. Zhu Z.Q. Howe D. PM brushless drives with low-cost and low-resolution position sensors Proceedings of the 4th International Power Electronics and Motion Control Conference, IPEMC Xi’an, China 14–16 August 2004 Volume 2 1033 1038
47. Buja G. Bertoluzzo M. Keshri R.K. Torque Ripple-Free Operation of PM BLDC Drives with Petal-Wave Current Supply IEEE Trans. Ind. Electron. 2015 62 4034 4043 10.1109/TIE.2014.2385034
48. Skóra M. Operation of PM BLDC motor drives with faulty rotor position sensor Proceedings of the 2017 International Symposium on Electrical Machines (SME) Naleczow, Poland 18–21 June 2017 1 6
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