JoAEA

Stiffness Optimization of Control Unit of Vehicle Using Vibration Technique

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u00a0Suraj Sadaphale, C.S. Wagle, K.K. Dhande,

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nJanuary 9, 2023 at 11:38 am

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nAbstract

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All modern automotive engines are controlled by an ECU. Engine efficiency, combustion, and emission characteristics are all affected by ECU tuning or tune-up. The electrical system in automobiles has evolved over time, and it now incorporates automatic machine control of automotive mechanics. In the beginning, a car’s electrical system consisted solely of primitive wiring technologies for supplying power to other parts of the vehicle. Engine management design specifications for the electronic control unit (ECU). Electronic systems are an unavoidable part of Engine management due to legislation requiring lower pollution, as well as the need for improved efficiency, fuel economy, and continuous diagnosis. The ECU of a TOYOTA Soluna car was used in this project for research and experimentation. ANSYS 19 software will be used to perform a modal and harmonic analysis of the current control unit. After that, different stiffener patterns will be added to improve the vibration characteristics of the ECU housing. We will finalize the stiffener pattern based on the FEA results. The FFT analyzer and the impact hammer test will be used to conduct experimental vibration testing.

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Volume :u00a0u00a08 | Issue :u00a0u00a01 | Received :u00a0u00a0February 26, 2021 | Accepted :u00a0u00a0March 17, 2021 | Published :u00a0u00a0April 30, 2021n[if 424 equals=”Regular Issue”][This article belongs to Journal of Automobile Engineering and Applications(joaeaa)] [/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue Stiffness Optimization of Control Unit of Vehicle Using Vibration Technique under section in Journal of Automobile Engineering and Applications(joaeaa)] [/if 424]
Keywords ECU, stiffeners, Ansys, CATIA V5, FEA.

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References

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1. Elias I, Gordon R. Vibration of gas at ambient pressure in a rocket thrust chamber. Journal of the American Rocket Society. 1952; 22(5): 263–268.
2. Swithenbank J, Sotter G. Vortices in solid propellant rocket motors. Jr. of AIAA. 1963; 1(7): 1682–1684.
3. Flandro GA, Jacobs HR. Vortex-generation sound in cavities. AIAA Paper. 1973; 73–1014.
4. Culic FEC. Stability of high frequency pressure oscillation in rocket combustion chamber. Jr. of AIAA. 1963; 1(5): 1097–1104.
5. Baum JD. Numerical techniques for solving nonlinear instability problems in solid rocket motors. Jr. of AIAA. 1982; 21(7): 959–961.
6. Bernardini, M., Cimini, M., Stella, F., Carallini, E., Mascio, A. D., Neri, A., Salvadore, F., and Martell, E., “Implicit Large eddy simulation of Solid Rocket Motors using the immersed boundary method”, AIAA Propulsion and Energy, 2021, Aug. 9-11, 2021, USA.
7. Anthoine, J., Mettenleiter, M., Repellin, O., Buchlin, J.M., and Candel, S., “Influence of adaptive control on vortex driven instabilities in a scaled model of solid propellantmotors”, Jr. of Sound and Vibration, Vol. 262, Is. 5, may 2003, pp.1009-1046.
8. Kailasanath, K., Gardner, J. H., Boris, J. P. and Oran, E. S., “Numerical simulations of acoustic-vortex interactions in a central-dump ramjet combustor”, Jr. of Propulsion and Power, Vol. 3, No. 6, 1987, pp. 525-533.
9. Menon, S., “Numerical simulations of oscillatory cold flows in an axi-symmetric ramjet combustor”, Jr. of Propulsion and Power, Vol. 6, No. 5, 1990, pp. 525-534 10. Flandro, G. A., “Effectives of vorticity on rocket combustion stability”, Jr. of Propulsion and Power, Vol. 11, No. 4, 1995, pp. 607-625.
11. Wu WJ, Kung LC. Determination of triggering condition of vortex-driven acoustic combustion instability in rocket motors. Jr. of Propulsion and Power. 2000; 16(6): 1022–1029.
12. Vuillot, F., “Vortex-shedding phenomena in solid rocket motor”, Jr. of Propulsion and Power, Vol. 11, No. 4, 1995, pp. 626-639.
13. Kourta, A., “Computation of vortex shedding in solid rocket motors using time dependent turbulence model”, Jr. of Propulsion and Power, Vol. 15, No. 3, 1999, pp. 390-405.
14. Wu, W. J. and Kung, L. C., “Determination of triggering condition of vortex-driven acoustic combustion instability in rocket motors”, Jr. of Propulsion and Power, Vol. 16, No. 6, 2000, pp. 1022-1029.
15. Radavich, P. M. and Selamet, A., “A computational approach for flow-acoustic coupling in closed side branches”, Jr. of Acoustical Soc. of America, Vol. 109, No. 4, 2001, pp. 1343-1353.
16. Matveev, K. I. and Culic, F. E. C., “A model for combustion instability involving vortex shedding”, Jr. of Combustion Science and Tech., Vol. 175, No. 6, 2003, pp. 1059-1083.
17. Shanbhogue, S. J., Sujith, R. I. and Chakravarthy, S. R., “Aero acoustics of rocket motors with FINOCYL grain”, AIAA Paper 2003-4632, 39 th AIAA/ASME/SAE/ASEE Joint Propulsion Conf. and Exhibit, 2003.
18. Kourta, A., “Instability of channel flow with fluid injection and parietal vortex shedding”, Jr. of Computers & Fluid, Vol.33, Is. 2, Feb. 2004, pp.155-178.
19. Hirschbeg, L.., Schuller, T., Collinet, J., Schram, C., and Hirschberg, A., “Analytical Model for the prediction of perturbationsin a cold gas scale model of solid rocket motor”, Jr. of Sound and vibration, Vol.419, 2018, pp. 452-468.
20. Tahorinezhad, R. and Zarepour, G., “Evaluation of vortex shedding phenomena in a sub-scaled rocket motor”, Jr. of Aerospace Sci. and Tech., Vol. 107, 2021, pp. 13-24.
21. Vuillot, F., “Vortex shedding phenomena in solid rocket motors”, Jr. of Propulsion and Power, Vol. 11, No. 4, July-August, 1995, pp. 626-636.
22. Durojaye, R.O., “Cold flow simulation of vortex shedding in a segmented solid rocket motor”, A Ph.D. Thesis Submitted at The University of Alabama, USA.
23. Dupays, J., Prevost, M., Tarrin, P., and Vuillot, F, Effect of particulate phase on vortex shedding driven oscillation in solid rocket motor”, AIAA Meeting Paper, July 1996, AIAA Paper 96-3248, pages 14.
24. Vetel, J., Plourde, F., and Doan-Kim, S., “Characterization of a coupled phenomenon in a confined shear-layer”, International Journal of Heat and Fluid Flow, Vol. 23, Is 4, Aug. 2002, pp. 533-543.

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    By  [foreach 286]n

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    Suraj Sadaphale, C.S. Wagle, K.K. Dhande

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  1. PG Student, Professer, Head and Professor,Department of Mechanical Engineering, Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, Department of Mechanical Engineering, Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, Department of Mechanical Engineering, Dr. D.Y. Patil Institute of Technology, Pimpri, Pune,Maharashtra, Maharashtra, Maharashtra,India, India, India
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Abstract

nAll modern automotive engines are controlled by an ECU. Engine efficiency, combustion, and emission characteristics are all affected by ECU tuning or tune-up. The electrical system in automobiles has evolved over time, and it now incorporates automatic machine control of automotive mechanics. In the beginning, a car’s electrical system consisted solely of primitive wiring technologies for supplying power to other parts of the vehicle. Engine management design specifications for the electronic control unit (ECU). Electronic systems are an unavoidable part of Engine management due to legislation requiring lower pollution, as well as the need for improved efficiency, fuel economy, and continuous diagnosis. The ECU of a TOYOTA Soluna car was used in this project for research and experimentation. ANSYS 19 software will be used to perform a modal and harmonic analysis of the current control unit. After that, different stiffener patterns will be added to improve the vibration characteristics of the ECU housing. We will finalize the stiffener pattern based on the FEA results. The FFT analyzer and the impact hammer test will be used to conduct experimental vibration testing.n

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Keywords: ECU, stiffeners, Ansys, CATIA V5, FEA.

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References

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1. Elias I, Gordon R. Vibration of gas at ambient pressure in a rocket thrust chamber. Journal of the American Rocket Society. 1952; 22(5): 263–268.
2. Swithenbank J, Sotter G. Vortices in solid propellant rocket motors. Jr. of AIAA. 1963; 1(7): 1682–1684.
3. Flandro GA, Jacobs HR. Vortex-generation sound in cavities. AIAA Paper. 1973; 73–1014.
4. Culic FEC. Stability of high frequency pressure oscillation in rocket combustion chamber. Jr. of AIAA. 1963; 1(5): 1097–1104.
5. Baum JD. Numerical techniques for solving nonlinear instability problems in solid rocket motors. Jr. of AIAA. 1982; 21(7): 959–961.
6. Bernardini, M., Cimini, M., Stella, F., Carallini, E., Mascio, A. D., Neri, A., Salvadore, F., and Martell, E., “Implicit Large eddy simulation of Solid Rocket Motors using the immersed boundary method”, AIAA Propulsion and Energy, 2021, Aug. 9-11, 2021, USA.
7. Anthoine, J., Mettenleiter, M., Repellin, O., Buchlin, J.M., and Candel, S., “Influence of adaptive control on vortex driven instabilities in a scaled model of solid propellantmotors”, Jr. of Sound and Vibration, Vol. 262, Is. 5, may 2003, pp.1009-1046.
8. Kailasanath, K., Gardner, J. H., Boris, J. P. and Oran, E. S., “Numerical simulations of acoustic-vortex interactions in a central-dump ramjet combustor”, Jr. of Propulsion and Power, Vol. 3, No. 6, 1987, pp. 525-533.
9. Menon, S., “Numerical simulations of oscillatory cold flows in an axi-symmetric ramjet combustor”, Jr. of Propulsion and Power, Vol. 6, No. 5, 1990, pp. 525-534 10. Flandro, G. A., “Effectives of vorticity on rocket combustion stability”, Jr. of Propulsion and Power, Vol. 11, No. 4, 1995, pp. 607-625.
11. Wu WJ, Kung LC. Determination of triggering condition of vortex-driven acoustic combustion instability in rocket motors. Jr. of Propulsion and Power. 2000; 16(6): 1022–1029.
12. Vuillot, F., “Vortex-shedding phenomena in solid rocket motor”, Jr. of Propulsion and Power, Vol. 11, No. 4, 1995, pp. 626-639.
13. Kourta, A., “Computation of vortex shedding in solid rocket motors using time dependent turbulence model”, Jr. of Propulsion and Power, Vol. 15, No. 3, 1999, pp. 390-405.
14. Wu, W. J. and Kung, L. C., “Determination of triggering condition of vortex-driven acoustic combustion instability in rocket motors”, Jr. of Propulsion and Power, Vol. 16, No. 6, 2000, pp. 1022-1029.
15. Radavich, P. M. and Selamet, A., “A computational approach for flow-acoustic coupling in closed side branches”, Jr. of Acoustical Soc. of America, Vol. 109, No. 4, 2001, pp. 1343-1353.
16. Matveev, K. I. and Culic, F. E. C., “A model for combustion instability involving vortex shedding”, Jr. of Combustion Science and Tech., Vol. 175, No. 6, 2003, pp. 1059-1083.
17. Shanbhogue, S. J., Sujith, R. I. and Chakravarthy, S. R., “Aero acoustics of rocket motors with FINOCYL grain”, AIAA Paper 2003-4632, 39 th AIAA/ASME/SAE/ASEE Joint Propulsion Conf. and Exhibit, 2003.
18. Kourta, A., “Instability of channel flow with fluid injection and parietal vortex shedding”, Jr. of Computers & Fluid, Vol.33, Is. 2, Feb. 2004, pp.155-178.
19. Hirschbeg, L.., Schuller, T., Collinet, J., Schram, C., and Hirschberg, A., “Analytical Model for the prediction of perturbationsin a cold gas scale model of solid rocket motor”, Jr. of Sound and vibration, Vol.419, 2018, pp. 452-468.
20. Tahorinezhad, R. and Zarepour, G., “Evaluation of vortex shedding phenomena in a sub-scaled rocket motor”, Jr. of Aerospace Sci. and Tech., Vol. 107, 2021, pp. 13-24.
21. Vuillot, F., “Vortex shedding phenomena in solid rocket motors”, Jr. of Propulsion and Power, Vol. 11, No. 4, July-August, 1995, pp. 626-636.
22. Durojaye, R.O., “Cold flow simulation of vortex shedding in a segmented solid rocket motor”, A Ph.D. Thesis Submitted at The University of Alabama, USA.
23. Dupays, J., Prevost, M., Tarrin, P., and Vuillot, F, Effect of particulate phase on vortex shedding driven oscillation in solid rocket motor”, AIAA Meeting Paper, July 1996, AIAA Paper 96-3248, pages 14.
24. Vetel, J., Plourde, F., and Doan-Kim, S., “Characterization of a coupled phenomenon in a confined shear-layer”, International Journal of Heat and Fluid Flow, Vol. 23, Is 4, Aug. 2002, pp. 533-543.

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Journal of Automobile Engineering and Applications

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Volume 8
Issue 1
Received February 26, 2021
Accepted March 17, 2021
Published April 30, 2021

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JoAEA

Fatigue Analysis of the FSAE Vehicle’s Front Wheel Hub

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u00a0Shubhaseesh,

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nJanuary 10, 2023 at 4:57 am

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This study illustrates the design and analysis of the FSAE vehicle’s front wheel hub. Because wheel hubs are subjected to cyclic loads on a continuous basis, there is a risk of fatigue, which leads to material failure. The start and spread of cracks in a material as a result of cyclic loading is known as fatigue. The brake discs could not be easily removed since the disc is positioned between the knuckle and the hub in the current design of wheel hub used for student formula vehicles. If the disc bends or is damaged in any way, replacing it becomes tough. Furthermore, installing a commercial vehicle’s OEM hub and knuckle would increase unsprung mass, which should be avoided in student formula cars to maximize performance. As a result, we must examine the model to ensure that it does not malfunction during the race. We could indeed reduce fatigue by using the right material. We chose Al 7178 alloy for the wheel hub after researching the properties of various materials. We can predict the fatigue life of a wheel hub by creating a CAD model and analysing it with ANSYS software.

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Volume :u00a0u00a09 | Issue :u00a0u00a01 | Received :u00a0u00a0May 27, 2022 | Accepted :u00a0u00a0May 31, 2022 | Published :u00a0u00a0June 8, 2022n[if 424 equals=”Regular Issue”][This article belongs to Journal of Automobile Engineering and Applications(joaeaa)] [/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue Fatigue Analysis of the FSAE Vehicle’s Front Wheel Hub under section in Journal of Automobile Engineering and Applications(joaeaa)] [/if 424]
Keywords Wheel hub, fatigue analysis, Ansys, Solid Works optimization

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References

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1. Abhishek Dabb, Aditya Mukati, Yuvrajsingh Rathod, Anujith Nair, Adil Radhanpura, Shantanu Gadekar. Design and optimization of wheel hub for formula ATA race car. Int Res J Eng Technol. 2019; 6(4): 607–611.
2. Pisat Sangram K, Phule Aditya S, Shinde Rohan R, Arun V. Design and Analysis of Hub and Knuckle of FSAE Race Car. International Journal for Scientific Research & Development (IJSRD). 2016; 4(2): 764–766.
3. Gowtham V, Ranganathan AS, Satish S, John Alexis S, Siva Kumar S. Fatigue based design and analysis of wheel hub for student formula car by simulation approach. 2016 IOP Conf Ser: Mater Sci Eng. 2016 Sep; 149: 012128.
4. Pruthviraj Vitthal Wable, Sahil Sanjog Shah. Design Analysis & Optimization of Hub Used in FSAE Car. Int J Innov Res Sci Eng Technol. 2017 Aug; 6(8): 16799–16808.
5. Kokate Sangram B, Kulkarni Gururaj R. Material Optimization of Wheel Hub using Finite Element Analysis. Int Res J Eng Technol. 2019; 6(5): 7252–7258.
6. Henry Scott D. Fatigue data book: Light structural alloys. In: Dragolich Kathleen S, Dimatteo Nikki D, editors. ASM International; 1995 Nov; 90.
7. Bruce Boardman. Fatigue resistance of steels, ASM Handbook, Volume 1: Properties and Selection: Irons, Steels, and High-Performance Alloys. ASM Handbook Committee; 1990; 677.
8. ASM Handbook. Properties and Selection: Nonferrous Alloys and Special-Purpose Materials. 10th Edn. Vol. 2. ASM International; 1990.
9. Preeti Vishwakarma, Mukesh Kanungoo. Finite element analysis of Chevrolet front hub with the help of inventor. International Journal of Innovative Trends in Engineering. 2014 Feb; 02(02): 11–12.
10. Gujar RA, Bhaskar SV. Shaft design under fatigue loading by using modified goodman method. Int J Eng Res Appl. 2013 Jul–Aug; 03(04): 1061–1066.

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  1. Student,Department of Mechanical Engineering, IEC College of Engineering and Technology,Greater Noida,India
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Abstract

nThis study illustrates the design and analysis of the FSAE vehicle’s front wheel hub. Because wheel hubs are subjected to cyclic loads on a continuous basis, there is a risk of fatigue, which leads to material failure. The start and spread of cracks in a material as a result of cyclic loading is known as fatigue. The brake discs could not be easily removed since the disc is positioned between the knuckle and the hub in the current design of wheel hub used for student formula vehicles. If the disc bends or is damaged in any way, replacing it becomes tough. Furthermore, installing a commercial vehicle’s OEM hub and knuckle would increase unsprung mass, which should be avoided in student formula cars to maximize performance. As a result, we must examine the model to ensure that it does not malfunction during the race. We could indeed reduce fatigue by using the right material. We chose Al 7178 alloy for the wheel hub after researching the properties of various materials. We can predict the fatigue life of a wheel hub by creating a CAD model and analysing it with ANSYS software.n

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Keywords: Wheel hub, fatigue analysis, Ansys, Solid Works optimization

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Automobile Engineering and Applications(joaeaa)]

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References

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1. Abhishek Dabb, Aditya Mukati, Yuvrajsingh Rathod, Anujith Nair, Adil Radhanpura, Shantanu Gadekar. Design and optimization of wheel hub for formula ATA race car. Int Res J Eng Technol. 2019; 6(4): 607–611.
2. Pisat Sangram K, Phule Aditya S, Shinde Rohan R, Arun V. Design and Analysis of Hub and Knuckle of FSAE Race Car. International Journal for Scientific Research & Development (IJSRD). 2016; 4(2): 764–766.
3. Gowtham V, Ranganathan AS, Satish S, John Alexis S, Siva Kumar S. Fatigue based design and analysis of wheel hub for student formula car by simulation approach. 2016 IOP Conf Ser: Mater Sci Eng. 2016 Sep; 149: 012128.
4. Pruthviraj Vitthal Wable, Sahil Sanjog Shah. Design Analysis & Optimization of Hub Used in FSAE Car. Int J Innov Res Sci Eng Technol. 2017 Aug; 6(8): 16799–16808.
5. Kokate Sangram B, Kulkarni Gururaj R. Material Optimization of Wheel Hub using Finite Element Analysis. Int Res J Eng Technol. 2019; 6(5): 7252–7258.
6. Henry Scott D. Fatigue data book: Light structural alloys. In: Dragolich Kathleen S, Dimatteo Nikki D, editors. ASM International; 1995 Nov; 90.
7. Bruce Boardman. Fatigue resistance of steels, ASM Handbook, Volume 1: Properties and Selection: Irons, Steels, and High-Performance Alloys. ASM Handbook Committee; 1990; 677.
8. ASM Handbook. Properties and Selection: Nonferrous Alloys and Special-Purpose Materials. 10th Edn. Vol. 2. ASM International; 1990.
9. Preeti Vishwakarma, Mukesh Kanungoo. Finite element analysis of Chevrolet front hub with the help of inventor. International Journal of Innovative Trends in Engineering. 2014 Feb; 02(02): 11–12.
10. Gujar RA, Bhaskar SV. Shaft design under fatigue loading by using modified goodman method. Int J Eng Res Appl. 2013 Jul–Aug; 03(04): 1061–1066.

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Journal of Automobile Engineering and Applications

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Volume 9
Issue 1
Received May 27, 2022
Accepted May 31, 2022
Published June 8, 2022

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JoAEA

Simulation of Electric Vehicles DC Engine Performance

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u00a0C. Armenta-Déu, D. Torres,

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nJanuary 9, 2023 at 11:07 am

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This works develops a simulation model to predict the performance of direct current electric motors for electric vehicles (EV), mainly focused on the required power and mechanical torque as a function of the driving conditions. The simulation, therefore, has been based on the dynamic conditions of the electric vehicle to reproduce the current driving in urban routes or intercity travels. The model has been applied to synchronous and asynchronous transmission system. The results has proved that the performance of an electric vehicle engine can be predicted using characteristic parameters of the driving like the acceleration rate and vehicle speed, as well as of the environmental conditions, such as wind force and tire to road friction. The aerodynamic profile and the mass of vehicle have also been included in the simulation predictive model. The simulation has proved that there is not a unique option that makes the electric motor working better in all conditions, since in some cases is the synchronous transmission which generates higher performance, while in other cases is the asynchronous. At the acceleration mode, either in flat terrain or in ramp or descent road, the synchronous transmission system is more suitable, while for constant speed in flat terrain the asynchronous transmission works better, as well as at constant speed in ramp or descent road.

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Volume :u00a0u00a08 | Issue :u00a0u00a03 | Received :u00a0u00a0November 11, 2021 | Accepted :u00a0u00a0November 27, 2021 | Published :u00a0u00a0December 30, 2021n[if 424 equals=”Regular Issue”][This article belongs to Journal of Automobile Engineering and Applications(joaeaa)] [/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue Simulation of Electric Vehicles DC Engine Performance under section in Journal of Automobile Engineering and Applications(joaeaa)] [/if 424]
Keywords Electric vehicle. Engine performance. Power simulation. Synchronous and asynchronous transmission system.

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References

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1. Electric motors as alternative to combustion engines. DAIMLER. Global Media Site, November 9, 2007.
2. John W. Brennan, Timothy E. Barder (2016) Battery Electric Vehicles vs. Internal Combustion Engines. A United States-Based Comprehensive Assessment. D. Little, www.adlittle.com/ BEV_ICEV.
3. Electric Vehicle Basis, Us Department of Energy (DOE), Office of Energy Efficiency and Renewable Energy, DOE/GO-102021-5606, August 2021.
4. Andrew Burke (2014) Power and Energy Requirements for Electric and Hybrid Vehicles, Hybrid and Electric Powertrains, Energy Sources: Batteries, https://doi.org/10.1002/9781118354179. auto063.
5. Tom Denton (2020) Electric and hybrid vehicles. Ed. Routledge, 2nd. Ed. ISBN 9780367273231
6. https://afdc.energy.gov/vehicles/
7. What types of motors are used in Electric Vehicles?. PrimecomTech. https://www.primecom. tech/blogs/news/what-types-of-motors-are-used-in-electric-vehicles [Accessed on November, 9th ,2021]
8. Sri Hari Karthik (2019) Types of Motors used in Electric Vehicles, Circuit Digest, https://circuitdigest.com/electric-vehicles
9. Mertens, K and Hanser K.F., (2011) Photovoltaics: Fundamentals, Technology and Practice, Chapter 7, Section 7.2.4 Efficiency of Inverters, pp. 177–181
10. Chris Mi, M. Abul Masrur, Hybrid Electric Vehicles, Ed. John Wiley and Sons, 2017, ISBN 10: 111897056X; ISBN 13: 9781118970560
11. Measuring DC/DC converter efficiency, QOITECH, February, 2018, https://www.qoitech.com/ techpapers/measuring-dc-dc-converter-efficiency/[Accessed November, 9th, 2021]
12. [Available from] https://ev-database.org/
13. [Available from] https://www.volkswagen.com/
14. [Available from] https://www.hyundai.com/
15. [Available from] https://www.renault.com/
16. [Available from] https://www.opel.com/
17. [Available from] https://www.kia.com/
18. [Available from] https://www.nissan.com/
19. [Available from] https://www.mazda.com/
20. [Available from] https://www.peugeot.com/
21. [Available from] https://www.skoda.es/
22. [Available from] https://www.bmw.com/
23. [Available from] https://www.audi.com/
24. [Available from] https://www.citroen.com/
25. [Available from] https://www.mg.co.uk/

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[if 424 not_equal=”Regular Issue”] Regular Issue[/if 424] Open Access Article

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    By  [foreach 286]n

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    C. Armenta-Déu, D. Torres

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  1. Facultad de Ciencias Físicas, Facultad de Ciencias Físicas,Universidad Complutense de Madrid. 28040, Universidad Complutense de Madrid. 28040,Madrid, Madrid,Spain, Spain
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Abstract

nThis works develops a simulation model to predict the performance of direct current electric motors for electric vehicles (EV), mainly focused on the required power and mechanical torque as a function of the driving conditions. The simulation, therefore, has been based on the dynamic conditions of the electric vehicle to reproduce the current driving in urban routes or intercity travels. The model has been applied to synchronous and asynchronous transmission system. The results has proved that the performance of an electric vehicle engine can be predicted using characteristic parameters of the driving like the acceleration rate and vehicle speed, as well as of the environmental conditions, such as wind force and tire to road friction. The aerodynamic profile and the mass of vehicle have also been included in the simulation predictive model. The simulation has proved that there is not a unique option that makes the electric motor working better in all conditions, since in some cases is the synchronous transmission which generates higher performance, while in other cases is the asynchronous. At the acceleration mode, either in flat terrain or in ramp or descent road, the synchronous transmission system is more suitable, while for constant speed in flat terrain the asynchronous transmission works better, as well as at constant speed in ramp or descent road.n

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Keywords: Electric vehicle. Engine performance. Power simulation. Synchronous and asynchronous transmission system.

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Automobile Engineering and Applications(joaeaa)]

n[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Automobile Engineering and Applications(joaeaa)] [/if 424]

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References

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1. Electric motors as alternative to combustion engines. DAIMLER. Global Media Site, November 9, 2007.
2. John W. Brennan, Timothy E. Barder (2016) Battery Electric Vehicles vs. Internal Combustion Engines. A United States-Based Comprehensive Assessment. D. Little, www.adlittle.com/ BEV_ICEV.
3. Electric Vehicle Basis, Us Department of Energy (DOE), Office of Energy Efficiency and Renewable Energy, DOE/GO-102021-5606, August 2021.
4. Andrew Burke (2014) Power and Energy Requirements for Electric and Hybrid Vehicles, Hybrid and Electric Powertrains, Energy Sources: Batteries, https://doi.org/10.1002/9781118354179. auto063.
5. Tom Denton (2020) Electric and hybrid vehicles. Ed. Routledge, 2nd. Ed. ISBN 9780367273231
6. https://afdc.energy.gov/vehicles/
7. What types of motors are used in Electric Vehicles?. PrimecomTech. https://www.primecom. tech/blogs/news/what-types-of-motors-are-used-in-electric-vehicles [Accessed on November, 9th ,2021]
8. Sri Hari Karthik (2019) Types of Motors used in Electric Vehicles, Circuit Digest, https://circuitdigest.com/electric-vehicles
9. Mertens, K and Hanser K.F., (2011) Photovoltaics: Fundamentals, Technology and Practice, Chapter 7, Section 7.2.4 Efficiency of Inverters, pp. 177–181
10. Chris Mi, M. Abul Masrur, Hybrid Electric Vehicles, Ed. John Wiley and Sons, 2017, ISBN 10: 111897056X; ISBN 13: 9781118970560
11. Measuring DC/DC converter efficiency, QOITECH, February, 2018, https://www.qoitech.com/ techpapers/measuring-dc-dc-converter-efficiency/[Accessed November, 9th, 2021]
12. [Available from] https://ev-database.org/
13. [Available from] https://www.volkswagen.com/
14. [Available from] https://www.hyundai.com/
15. [Available from] https://www.renault.com/
16. [Available from] https://www.opel.com/
17. [Available from] https://www.kia.com/
18. [Available from] https://www.nissan.com/
19. [Available from] https://www.mazda.com/
20. [Available from] https://www.peugeot.com/
21. [Available from] https://www.skoda.es/
22. [Available from] https://www.bmw.com/
23. [Available from] https://www.audi.com/
24. [Available from] https://www.citroen.com/
25. [Available from] https://www.mg.co.uk/

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Regular Issue Open Access Article

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Journal of Automobile Engineering and Applications

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[if 344 not_equal=””]ISSN: 2455-3360[/if 344]

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Volume 8
Issue 3
Received November 11, 2021
Accepted November 27, 2021
Published December 30, 2021

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