Digitalization & Sustainability Review

Peer Reviewed Article

Vol. 1 No. 1 (2021)

Next-Generation Automotive Electronics: Advancements in Electric Vehicle Powertrain Control

Submitted
2 March 2021
Published
17-04-2021

Abstract

The study looks into developments in next-generation automotive electronics, namely in electric vehicle powertrain control. The main aims of the study were to investigate novel technologies, determine essential avenues for future research, and evaluate the policy consequences that would influence electric mobility in the future. The most recent developments in battery technology, power electronics, motor design, charging infrastructure, and grid integration were examined in-depth through a thorough analysis of the literature and industry reports. The evolution of the charging infrastructure to support the expanding fleet of electric vehicles, the integration of cutting-edge technologies like artificial intelligence and wide-bandgap semiconductors, and the significance of addressing regulatory, cybersecurity, and equity concerns are some significant findings. The policy implications emphasize the necessity of focused interventions to overcome infrastructural constraints, simplify regulatory frameworks, reduce cybersecurity concerns, and encourage social acceptance and fairness in introducing electric vehicles. The report emphasizes how next-generation vehicle electronics can revolutionize transportation and accelerate the shift to greener, more sustainable systems.

References

  1. Anumandla, S. K. R. (2018). AI-enabled Decision Support Systems and Reciprocal Symmetry: Empowering Managers for Better Business Outcomes. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 33-41. https://upright.pub/index.php/ijrstp/article/view/129
  2. Dhameliya, N., Mullangi, K., Shajahan, M. A., Sandu, A. K., & Khair, M. A. (2020). Blockchain-Integrated HR Analytics for Improved Employee Management. ABC Journal of Advanced Research, 9(2), 127-140. https://doi.org/10.18034/abcjar.v9i2.738
  3. Fang, L. C., Xu, G., Li, T. L., Zhu, K. M. (2013). Real-Time Optimal Power Management for Hybrid Electric Vehicle Based on Prediction of Trip Information. Applied Mechanics and Materials, 321-324, 1539. https://doi.org/10.4028/www.scientific.net/AMM.321-324.1539
  4. Hegazy, O., Baghdadi, M. E., Mierlo, J. V., Lataire, P. (2015). Modeling and Analysis of Different Control Techniques of Conductive Battery Chargers for Electric Vehicles Applications. Compel, 34(1), 151-172. https://doi.org/10.1108/COMPEL-11-2013-0382
  5. Khair, M. A. (2018). Security-Centric Software Development: Integrating Secure Coding Practices into the Software Development Lifecycle. Technology & Management Review, 3, 12-26. https://upright.pub/index.php/tmr/article/view/124
  6. Khair, M. A., Tejani, J. G., Sandu, A. K., & Shajahan, M. A. (2020). Trade Policies and Entrepreneurial Initiatives: A Nexus for India’s Global Market Integration. American Journal of Trade and Policy, 7(3), 107–114. https://doi.org/10.18034/ajtp.v7i3.706
  7. Koehler, S., Dhameliya, N., Patel, B., & Anumandla, S. K. R. (2018). AI-Enhanced Cryptocurrency Trading Algorithm for Optimal Investment Strategies. Asian Accounting and Auditing Advancement, 9(1), 101–114. https://4ajournal.com/article/view/91
  8. Ma, C., Kang, J., Choi, W., Song, M., Ji, J. (2012). A Comparative Study on the Power Characteristics and Control Strategies for Plug-in Hybrid Electric Vehicles. International Journal of Automotive Technology, 13(3), 505-516. https://doi.org/10.1007/s12239-012-0048-x
  9. Maddula, S. S. (2018). The Impact of AI and Reciprocal Symmetry on Organizational Culture and Leadership in the Digital Economy. Engineering International, 6(2), 201–210. https://doi.org/10.18034/ei.v6i2.703
  10. Maddula, S. S., Shajahan, M. A., & Sandu, A. K. (2019). From Data to Insights: Leveraging AI and Reciprocal Symmetry for Business Intelligence. Asian Journal of Applied Science and Engineering, 8(1), 73–84. https://doi.org/10.18034/ajase.v8i1.86
  11. Mullangi, K. (2017). Enhancing Financial Performance through AI-driven Predictive Analytics and Reciprocal Symmetry. Asian Accounting and Auditing Advancement, 8(1), 57–66. https://4ajournal.com/article/view/89
  12. Mullangi, K., Maddula, S. S., Shajahan, M. A., & Sandu, A. K. (2018). Artificial Intelligence, Reciprocal Symmetry, and Customer Relationship Management: A Paradigm Shift in Business. Asian Business Review, 8(3), 183–190. https://doi.org/10.18034/abr.v8i3.704
  13. Mullangi, K., Yarlagadda, V. K., Dhameliya, N., & Rodriguez, M. (2018). Integrating AI and Reciprocal Symmetry in Financial Management: A Pathway to Enhanced Decision-Making. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 42-52. https://upright.pub/index.php/ijrstp/article/view/134
  14. Ning, G., Lu, X., Zhang, L., Yu, Z. (2013). Method of Electric Powertrain Matching for Battery-Powered Electric Cars. Chinese Journal of Mechanical Engineering = Ji xie gong cheng xue bao, English ed., 26(3), 483-491. https://doi.org/10.3901/CJME.2013.03.483
  15. Patel, B., Mullangi, K., Roberts, C., Dhameliya, N., & Maddula, S. S. (2019). Blockchain-Based Auditing Platform for Transparent Financial Transactions. Asian Accounting and Auditing Advancement, 10(1), 65–80. https://4ajournal.com/article/view/92
  16. Pydipalli, R. (2018). Network-Based Approaches in Bioinformatics and Cheminformatics: Leveraging IT for Insights. ABC Journal of Advanced Research, 7(2), 139-150. https://doi.org/10.18034/abcjar.v7i2.743
  17. Pydipalli, R., & Tejani, J. G. (2019). A Comparative Study of Rubber Polymerization Methods: Vulcanization vs. Thermoplastic Processing. Technology & Management Review, 4, 36-48. https://upright.pub/index.php/tmr/article/view/132
  18. Qiao, Y., Song, Y., Huang, K. (2019). A Novel Control Algorithm Design for Hybrid Electric Vehicles Considering Energy Consumption and Emission Performance. Energies, 12(14), 2698. https://doi.org/10.3390/en12142698
  19. Richardson, N., Pydipalli, R., Maddula, S. S., Anumandla, S. K. R., & Vamsi Krishna Yarlagadda. (2019). Role-Based Access Control in SAS Programming: Enhancing Security and Authorization. International Journal of Reciprocal Symmetry and Theoretical Physics, 6, 31-42. https://upright.pub/index.php/ijrstp/article/view/133
  20. Rodriguez, M., Tejani, J. G., Pydipalli, R., & Patel, B. (2018). Bioinformatics Algorithms for Molecular Docking: IT and Chemistry Synergy. Asia Pacific Journal of Energy and Environment, 5(2), 113-122. https://doi.org/10.18034/apjee.v5i2.742
  21. Sandu, A. K. (2021). DevSecOps: Integrating Security into the DevOps Lifecycle for Enhanced Resilience. Technology & Management Review, 6, 1-19. https://upright.pub/index.php/tmr/article/view/131
  22. Sandu, A. K., Surarapu, P., Khair, M. A., & Mahadasa, R. (2018). Massive MIMO: Revolutionizing Wireless Communication through Massive Antenna Arrays and Beamforming. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 22-32. https://upright.pub/index.php/ijrstp/article/view/125
  23. Shajahan, M. A. (2018). Fault Tolerance and Reliability in AUTOSAR Stack Development: Redundancy and Error Handling Strategies. Technology & Management Review, 3, 27-45. https://upright.pub/index.php/tmr/article/view/126
  24. Shajahan, M. A., Richardson, N., Dhameliya, N., Patel, B., Anumandla, S. K. R., & Yarlagadda, V. K. (2019). AUTOSAR Classic vs. AUTOSAR Adaptive: A Comparative Analysis in Stack Development. Engineering International, 7(2), 161–178. https://doi.org/10.18034/ei.v7i2.711
  25. Spanoudakis, P., Tsourveloudis, N. C. (2015). Prototype Variable Transmission System for Electric Vehicles: Energy Consumption Issues. International Journal of Automotive Technology, 16(3), 525-537. https://doi.org/10.1007/s12239-015-0054-x
  26. Suh, B., Frank, A., Chung, Y. J., Lee, E. Y., Chang, Y. H. (2011). Powertrain System Optimization for A Heavy-duty Hybrid Electric Bus. International Journal of Automotive Technology, 12(1), 131-139. https://doi.org/10.1007/s12239-011-0017-9
  27. Tejani, J. G. (2017). Thermoplastic Elastomers: Emerging Trends and Applications in Rubber Manufacturing. Global Disclosure of Economics and Business, 6(2), 133-144. https://doi.org/10.18034/gdeb.v6i2.737
  28. Tejani, J. G., Khair, M. A., & Koehler, S. (2021). Emerging Trends in Rubber Additives for Enhanced Performance and Sustainability. Digitalization & Sustainability Review, 1(1), 57-70. https://upright.pub/index.php/dsr/article/view/130
  29. Wang, C –l., Yin, C –l., Zhang, T., Zhu, L. (2009). Powertrain Design and Experiment Research of a Parallel Hybrid Electric vehicle. International Journal of Automotive Technology, 10(5), 589-596. https://doi.org/10.1007/s12239-009-0069-2
  30. Wang, Y., Lü, E., Lu, H., Zhang, N., Zhou, X. (2017). Comprehensive Design and Optimization of An Electric Vehicle Powertrain Equipped with A Two-speed Dual-clutch Transmission. Advances in Mechanical Engineering, 9(1). https://doi.org/10.1177/1687814016683144
  31. Yarlagadda, V. K., & Pydipalli, R. (2018). Secure Programming with SAS: Mitigating Risks and Protecting Data Integrity. Engineering International, 6(2), 211–222. https://doi.org/10.18034/ei.v6i2.709
  32. Yerram, S. R., Mallipeddi, S. R., Varghese, A., & Sandu, A. K. (2019). Human-Centered Software Development: Integrating User Experience (UX) Design and Agile Methodologies for Enhanced Product Quality. Asian Journal of Humanity, Art and Literature, 6(2), 203-218. https://doi.org/10.18034/ajhal.v6i2.732
  33. Ying, D., Patel, B., & Dhameliya, N. (2017). Managing Digital Transformation: The Role of Artificial Intelligence and Reciprocal Symmetry in Business. ABC Research Alert, 5(3), 67–77. https://doi.org/10.18034/ra.v5i3.659