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PhD Studentship - A novel artificial intelligent technique for the design of vehicle electrical systems


Faculty of Science & Technology

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Dr S Prakoonwit No more applications being accepted Funded PhD Project (Students Worldwide)

About the Project

The project is jointly funded by Bournemouth University and a Siemens' company, Mentor Graphics. Siemens is a leader in this field globally. The successful candidate will be working closely with the company.

Vehicle electrical wire harness system design has increasingly become an essential and valuable part of the automotive industry. It is even more significant for electric vehicles and autonomous self-driving cars. Currently, the wiring harness is the third highest cost component in a car and the third heaviest component. The automotive wiring harness market, by value, is projected to grow to USD 55.4 billion by 2027 from USD 43.3 billion in 2019. Apart from sophisticated vehicle intelligent control and driver assistant system, rising adoption of electric vehicles (EVs) is another significant trend proliferating market growth.

Traditionally the design of vehicle electrical systems has been done using classic 2D CAD applications and the manual or semi-manual authoring of wiring schematic diagrams. However, designing a vehicle electrical system has become extremely complicated, time-consuming and expensive and in some cases, impossible to do it manually. Some modern vehicles contain close to 40 different harnesses, over 3000 wires and 700 connectors. If put into a continuous line, those wires would surpass a length of 4km and weigh approximately 60kg. In addition, there can be more than 70 different specific types of cables, such as high-speed data cables, coax cables, and USB cables. In addition, there are other factors which can affect the performance of the system to be considered, e.g. electromagnetic interference, crosstalk, and signal attenuation. It is difficult or even impossible for the task to be done manually.

Methods are required to augment or automate the design process to consistently produce optimal solutions. However, despite numerous technological advancements in the field of the automotive industry, there is still a limited progress in this particular subject. Existing techniques have not been adopted widely in the industry due to many drawbacks. Normally, the search spaces required are too large and they do not use information from existing workable wiring systems to make the process more efficient and to narrow down the search space to find the optimal solution.

Therefore, to address the problem, the aim of the project is to develop a new artificial intelligent technique for the automatic and optimal design of vehicle electrical systems.

The candidate will be based at Mentor Graphics in Newbury, UK.


Funding Notes

A fully-funded Studentship includes a maintenance grant of £15,225 per year to contribute towards living expenses during the course of your research, as well as a fee waiver for 36 months.
Associated costs, such as for fieldwork and conference attendance, will also be met under the Studentship.

References

Applications are made via Bournemouth University’s website by clicking ’institution website’ button. If you have an enquiry about this project please contact us via the ’Email institution’ button, however your application will only be processed once you have submitted an application form as opposed to emailing your CV to us.
Candidates for a PhD Studentship should demonstrate outstanding qualities and be motivated to complete a PhD in 4 years and must demonstrate:
· Outstanding academic potential as measured normally by either a 1st class honours degree (or equivalent Grade Point Average (GPA) or a Master’s degree with distinction or equivalent
· An IELTS (Academic) score of 6.5 minimum (with a minimum 6.0 in each component, or equivalent) for candidates for whom English is not their first language and this must be evidenced at point of application.
Candidates for an MRes Studentship should demonstrate outstanding qualities and be motivated to complete a MRes in 18 months and must demonstrate:
· Outstanding academic potential as measured normally by an upper second class honours degree (or equivalent Grade Point Average (GPA)
· An IELTS (Academic) score of 6.5 minimum (with a minimum 6.0 in each component, or equivalent) for candidates for whom English is not their first language and this must be evidenced at point of application.


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