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Topology-Optimized and Simulation-Driven Design for Compact Autonomous Electric Vehicle Drive Systems: A Novel Approach

DOI: 10.4236/oalib.1110270, PP. 1-19

Subject Areas: Computer Engineering, Engineering Management, Electric Engineering

Keywords: Autonomous Electric Vehicles, EV Drive Simulation, Drive Cycles, Self-Driving Vehicles, Stress Simulation, Topology, Optimize Drive

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Abstract

This paper introduces a novel approach to drive system design for compact autonomous electric vehicles (AEVs) by utilizing topology optimization and simulation techniques. The primary goal is to develop an efficient and lightweight drive system that improves vehicle performance, taking into account the specific requirements of autonomy and electric propulsion. The design process incorporates topology optimization to systematically explore different configurations and material distributions, with the aim of maximizing structural integrity and efficiency. Simulation tools are employed to evaluate performance and validate the optimized design. The results demonstrate the effectiveness of this methodology in creating an optimized drive system that meets the needs of compact AEVs. Furthermore, this study focuses on the motor-drive axle integrated driving scheme to enhance the driving efficiency of AEVs. The paper addresses this challenge by carefully considering power matching and transmission ratio calculations based on the performance characteristics of compact AEVs, resulting in a determined total gear ratio of 8.124. To further enhance overall performance & efficiency, a 2-stage retarder system is developed.

Cite this paper

Ajao, Q. M. , Sadeeq, L. G. , Oludamilare, O. and Letendre, S. (2023). Topology-Optimized and Simulation-Driven Design for Compact Autonomous Electric Vehicle Drive Systems: A Novel Approach. Open Access Library Journal, 10, e270. doi: http://dx.doi.org/10.4236/oalib.1110270.

References

[1]  Ning, X., Zheng, S., Wang, Y. and Feng, J. (2019) Lightweight Design of Gears in the Wheel-Side Reducer Based on Shanghai Road Driving Cycle. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 233, 1586-1600. https://doi.org/10.1177/0954407018768176
[2]  Wang, Y. and Sun, D. (2014) Powertrain Matching and Optimization of Dual-Motor Hybrid Driving System for Electric Vehicle Based on Quantum Genetic Intelligent Algorithm. Discrete Dynamics in Nature and Society, 2014, Article ID: 956521. https://doi.org/10.1155/2014/956521
[3]  Wu, Z., Zhu, M., Guo, Y., Sun, L. and Gu, Y. (2021) Drive System Design for Small Autonomous Electric Vehicle: Topology Optimization and Simulation. Wireless Communications and Mobile Computing, 2021, Article ID: 7192484. https://doi.org/10.1155/2021/7192484
[4]  Xu, X.Y. (2017) Development of Transmission Technology for Energy-Saving Vehicles and New Energy Resource Vehicle. Journal of Automotive Safety and Energy, 8, 323-332. (In Chinese)
[5]  Chen, P.-T., Pai, P.-H., Yang, C.-J. and Huang, K.D. (2019) Development of Transmission Systems for Parallel Hybrid Electric Vehicles. Applied Sciences, 9, Article No. 1538. https://doi.org/10.3390/app9081538
[6]  Zhang, B.H. (2017) Parameter Matching Design and Optimization of Power System for Pure Electric. Chongqing Jiaotong University, Chongqing. (In Chinese)
[7]  Li, J. (2017) Paremeters Design and Optimization of Powertrain for Battery Electric Vehicle. Chang’an University, Xi’an. (In Chinese)
[8]  Ajao, Q.M. (2019) A Novel Rapid Dispatchable Energy Storage System Model Using Autonomous Electric Vehicles to Reduce Grid Dependency. Georgia Southern University, Statesboro. https://digitalcommons.georgiasouthern.edu/etd/1936/
[9]  Wang, J.M. (2019) Design and Optimization of Driving System of Battery Electric Vehicle. Jilin University, Changchun.
[10]  Wang, P., Gao, S., Li, L., Sun, B. and Cheng, S. (2019) Obstacle Avoidance Path Planning Design for Autonomous Driving Vehicles Based on an Improved Artificial Potential Field Algorithm. Energies, 12, Article No. 2342. https://doi.org/10.3390/en12122342
[11]  Ajao, Q.M., Sadeeq, L.G., Casady, A. and Prio, M.H. (2023) Drivers of Mobile Payments Acceptance: The Impact of Networks Externalities. Preprints.org 2023, Article ID: 2023051555. https://doi.org/10.20944/preprints202305.1555.v1
[12]  Ajao, Q.M., Haddad, R.J. and El-Shahat, A. (2019) Comparative Analysis of Residential Solar Farm with Energy Storage between the USA and Nigeria. 2019 SoutheastCon, Huntsville, 11-14 April 2019, 1-8. https://doi.org/10.1109/SoutheastCon42311.2019.9020420
[13]  Hu, J., Ran, H., Pang, T. and Zhang, Y. (2016) Parameter Design and Performance Analysis of Shift Actuator for a Two-Speed Automatic Mechanical Transmission for Pure Electric Vehicles. Advances in Mechanical Engineering, 8, Article ID: 1687814016664257. https://doi.org/10.1177/1687814016664257
[14]  Ajao, Q.M. (2023) Overview Analysis of Recent Developments on Self-Driving Electric Vehicles. Preprints. https://doi.org/10.20944/preprints202305.0248.v1
[15]  Takano, K., Nozaki, K., Saito, Y., Negishi, A., Kato, K. and Yamaguchi, Y. (2000) Simulation Study of Electrical Dynamic Characteristics of Lithium-Ion Battery. Journal of Power Sources, 90, 214-223.
[16]  Ajao, Q.M., Oludamilare, O. and Sadeeq, L. (2023) Drivers of Mobile Payment Acceptance: The Impact of Network Externalities in Nigeria. Open Access Library Journal, 10, e10240. https://doi.org/10.4236/oalib.1110240
[17]  Ajao, Q.M. and Sadeeq, L. (2023) Dynamic Cell Modeling of Li-Ion Polymer Batteries for Precise SOC Estimation in Power-Needy Autonomous Electric Vehicles. ArXiv: abs/2306.10654.

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