ES2H6-15 Future Automotive Mobility
Introductory description
There are 3 strands to future automotive mobility: Connected Autonomous Vehicles (CAVs), Electric Vehicles (EV's) and Mobility-as-a-Service (MaaS). The combination of these three key technology-driven disruptive trends is introducing unpresented changes to the automotive sector. This module will provide the key knowledge and understanding to support automotive engineers in the future.
Module aims
Future automotive mobility aims to introduce the students to the key challenges associated to smart, connected and autonomous electric vehicles: SAE levels of autonomy and their implications on safety; robustness of embedded systems; environmental perception; connectivity and communication infrastructures; new mobility models; battery technologies for EV's.
This module aims to provide the students with knowledge associated with current and future technical challenges of smart, connected and autonomous vehicles and their importance for electrification.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Connected Autonomous Vehicles (CAVs): perception sensors, sensor fusion, machine learning & probabilistic techniques for CAV, wired and wireless communications (e.g. 5G) for CAV, CAV security risks
Electric Vehicles (EV's):battery management, battery manufacture, battery recycling, battery materials mining, battery lifecycle.
Mobility-as-a-Service (MaaS) -MaaS schemes, vehicle management, public transport integration, MaaS regulations.
Learning outcomes
By the end of the module, students should be able to:
- Critic the limits of the performance of different automotive perception sensors. (C1, M1)
- Understand the limits of machine learning and sensor fusion in the context of safe Automated Vehicles. (C1, M1, C2, M2, C4, M4, C9 M9)
- Understand the limits of wired and wireless communication technologies in the CAV context particularly security risks. (C1, M1, C10, M10)
- Critic mobility-as-a-service systems. (C4, M4, C7, M7(D))
- Analyse well-established battery technology, lifecycle and infrastructure implications of electric vehicle use. (M1, C1, C4, M4, C7, M7)
Indicative reading list
"Automated vehicles and MaaS : removing the barriers ", Williams Bob. Hoboken, NJ : Wiley, 2021, 978-1119765349 (epub)
"Advanced Battery Materials", C. Sun. John Wiley & Sons, 2019. ISBN: 9781119407553
“Introduction to autonomous mobile robots”, Siegwart, Roland, Nourbakhsh, Illah R., (2nd Edition), 2011, 978-0262015356, TJ 211.S4
“Probabilistic Robotics”, Thrun, Sebastian, Burgard, Wolfram, Fox, Dieter, 2005, 978-0262201629, TJ 211.T575
"Infrastructure Wi-Fi for connected autonomous vehicle positioning : a review of the state-of-the-art", Adegoke, Elijah I., Zidane, Jasmine, Kampert, Erik, Ford, Col R., Birrell, Stewart A. and Higgins, Matthew D. (2019) Infrastructure Wi-Fi for connected autonomous vehicle positioning : a review of the state-of-the-art. Vehicular Communications, 20 . 100185. doi:10.1016/j.vehcom.2019.100185
Subject specific skills
Knowledge and understanding of the need for a high level of professional and ethical conduct in engineering and the use of technical literature, other information sources including appropriate codes of practice and industry standards.
Transferable skills
Be professional in their outlook, be effective communicators, and be able to exercise responsibility and sound management approaches.
Communicate (written and oral; to technical and non-technical audiences)
Exercise initiative and personal responsibility, including time management, which may be as a team member or leader
Study time
Type | Required |
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Lectures | 40 sessions of 15 minutes (7%) |
Seminars | 10 sessions of 1 hour (7%) |
Fieldwork | 5 sessions of (0%) |
Private study | 130 hours (87%) |
Total | 150 hours |
Private study description
130 Hours of student self-guided study to prepare for assessments. Guidance on topics to be studied is provided during lectures (with some extra contents on Moodle) and assessment instructions.
Costs
No further costs have been identified for this module.
You must pass all assessment components to pass the module.
Assessment group C
Weighting | Study time | Eligible for self-certification | |
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Assessment component |
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Mini Design Portfolio | 50% | Yes (extension) | |
Design portfolio 3000 words |
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Reassessment component is the same |
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Assessment component |
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Online exam | 50% | No | |
QMP 1 hour long ~Platforms - AEP, QMP, Submission Through Tabula Assignment Management Online examination: No Answer book required ~Platforms - AEP,QMP |
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Reassessment component is the same |
Feedback on assessment
Written comments and electronically marked-up assignments for the design portfolio.
Cohort level feedback on examinations
Courses
This module is Optional for:
- Year 2 of UESA-H335 BEng Automotive Engineering
- Year 2 of UESA-H336 MEng Automotive Engineering