Evolving the Drive: Integrating Electric Vehicle Technologies with AI in Automotive Engineering Courses

Zahra Pournorouz

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Conference: 2024 ASEE Annual Conference & Exposition
Location: Portland, Oregon
Publication Date: June 23, 2024
Start Date: June 23, 2024
End Date: July 12, 2024
Conference Session: MECH - Technical Session 10: Special Topics and Innovative Methods in Mechanical Engineering
Tagged Division: Mechanical Engineering Division (MECH)
Permanent URL: https://peer.asee.org/47367

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biography

Zahra Pournorouz Stevens Institute of Technology

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“Zahra Pournorouz received her Bachelor of Science degree in Aerospace Engineering from Amirkabir University of Technology (Tehran Polytechnic) in Tehran in the Fall of 2014. After finishing her bachelor’s studies, she got admitted directly to the Ph.D. program in Mechanical Engineering at the University of Texas at Arlington and graduated in August 2018.
Her research interests mainly focus on oil-based nanofluids and enhancing the thermophysical properties of synthetic oils. This was the first demonstration of the work ever done in this field and resulted in broad environmental and cost benefits, especially in energy storage and heat transfer applications. She has more than three years of experience teaching thermofluidic, mechanical design, and solid and structure courses and supervising senior capstone projects collaborating with industries such as Saint-Gobain, Klein Tools, and Parker. She also has served in leadership roles at the Society of Women Engineers and STEM advisory task force to represent diversity and inclusion and improve student success and retention for underrepresented students.”

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Abstract

This paper aims at a transformative journey through the evolution of the Automotive Engineering course. This course is traditionally taught for Internal Combustion (IC) engines. However, with the growing industry of Autonomous and Electric Vehicles (AV and EV), it is necessary that we educate our students before they enter the vehicle industry. This reimagined course navigates beyond conventional boundaries, embracing the dynamic landscape of AV and EV technologies while integrating Artificial Intelligence (AI) prowess. The course will begin with a solid foundation in traditional automotive engineering principles, delving into the intricacies of internal combustion engines and mastering the nuances of vehicle dynamics. Transitioning seamlessly, the course unfolds into the realm of AVs and EVs, where AI becomes the orchestrator of electric powertrains and the autonomy of vehicles. Each topic, from steering systems to braking systems and engines to gears, transmissions, aerodynamics, suspension, and overall vehicle performance, is approached with a dual perspective. This approach bridges the gap between time-tested principles and the cutting-edge technologies that define the automotive landscape of tomorrow. This paper outlines a paradigm shift in learning objectives, seamlessly integrating Electric EVs and AVs while spotlighting the pivotal role of AI. The inherently project-based course pioneers a pedagogical approach that introduces each subject through the lens of software incorporation and collaborative teamwork among students. A detailed exploration will be presented for each outline subject, shedding light on its intricacies and unveiling unique assignments. What sets this course apart is its continuous connection to AI, illuminating the relevance of advanced technology at every step. Automotive Engineering is an elective course, drawing an annual cohort of approximately 25-30 students during the spring semester, comprising both undergraduate and graduate-level enthusiasts of automotive engineering. The course attracts individuals genuinely passionate about delving into automotive engineering concentrations. With a focus on the intersection of theoretical knowledge and practical industry applications, each assignment within the course serves as a narrative thread, illustrating the profound impact of AI on the dynamic canvas of the automotive landscape. This immersive experience aims to equip students with the skills and insights necessary to navigate and excel in their future careers within the automotive realm.

Citation
Format

Pournorouz, Z. (2024, June), Evolving the Drive: Integrating Electric Vehicle Technologies with AI in Automotive Engineering Courses Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. https://peer.asee.org/47367

TY - CPAPER
AB - This paper aims at a transformative journey through the evolution of the Automotive Engineering course. This course is traditionally taught for Internal Combustion (IC) engines. However, with the growing industry of Autonomous and Electric Vehicles (AV and EV), it is necessary that we educate our students before they enter the vehicle industry. This reimagined course navigates beyond conventional boundaries, embracing the dynamic landscape of AV and EV technologies while integrating Artificial Intelligence (AI) prowess.
The course will begin with a solid foundation in traditional automotive engineering principles, delving into the intricacies of internal combustion engines and mastering the nuances of vehicle dynamics. Transitioning seamlessly, the course unfolds into the realm of AVs and EVs, where AI becomes the orchestrator of electric powertrains and the autonomy of vehicles. Each topic, from steering systems to braking systems and engines to gears, transmissions, aerodynamics, suspension, and overall vehicle performance, is approached with a dual perspective. This approach bridges the gap between time-tested principles and the cutting-edge technologies that define the automotive landscape of tomorrow.
This paper outlines a paradigm shift in learning objectives, seamlessly integrating Electric EVs and AVs while spotlighting the pivotal role of AI. The inherently project-based course pioneers a pedagogical approach that introduces each subject through the lens of software incorporation and collaborative teamwork among students. A detailed exploration will be presented for each outline subject, shedding light on its intricacies and unveiling unique assignments. What sets this course apart is its continuous connection to AI, illuminating the relevance of advanced technology at every step.
Automotive Engineering is an elective course, drawing an annual cohort of approximately 25-30 students during the spring semester, comprising both undergraduate and graduate-level enthusiasts of automotive engineering. The course attracts individuals genuinely passionate about delving into automotive engineering concentrations. With a focus on the intersection of theoretical knowledge and practical industry applications, each assignment within the course serves as a narrative thread, illustrating the profound impact of AI on the dynamic canvas of the automotive landscape. This immersive experience aims to equip students with the skills and insights necessary to navigate and excel in their future careers within the automotive realm.
AU - Zahra Pournorouz
CY - Portland, Oregon
DA - 2024/06/23
PB - ASEE Conferences
TI - Evolving the Drive: Integrating Electric Vehicle Technologies with AI in Automotive Engineering Courses
UR - https://peer.asee.org/47367
ER -