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Dynamic Refinement and Energy Efficiency of Hybrid Powertrains (WS12)

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  • Full or part time
    Dr N Dolatabadi
  • Application Deadline
    No more applications being accepted
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career.
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Full Project Detail

Hybrid powertrains will gradually assume a dominant role from mid-2020’s, leading to full electrification a decade or so later. The next few decades would witness challenging times for powertrain and propulsion systems in terms of system efficiency and dynamic refinement. Electrification and hybridisation of powertrain systems is pursued intensely to improve air quality and reduce adverse emissions. For this, various hybrid powertrain architectures are suggested. However, Noise, Vibration and Harshness (NVH) issues will be one of the residing issues regardless of powertrain architecture.
This interdisciplinary PhD project aims at developing a numerical methodology to better understand the NVH attributes in electrified and hybrid powertrains and predict the main NVH sources. The methodology would be multi-physics and multi-scale in nature, incorporating flexible multi-body dynamics, contact mechanics and tribology. The correlation between the numerical simulation and powertrain NVH will be investigated through a series of experimental studies using different techniques such as Laser Vibrometry at the industrial partner premises. The project is in collaboration with Jaguar Land Rover, one of the pioneers in developing hybrid-electric powertrains.

Entry requirements

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Mechanical Engineering or a related subject. A relevant Master’s degree (MEng or MSc) and/or experience in one or more of the following will be an advantage: Numerical analysis, Use of Computational tools, Powertrain engineering, Multibody dynamics, Hybrid technologies.

Funding Notes

Please note that studentships will be awarded on a competitive basis to applicants who have applied to this project and other advertised projects starting with advert reference ‘WS’ for the School of Mechanical, Electrical and Manufacturing Engineering.
If awarded, each 3-year studentship will provide a tax-free stipend of £15,009 p/a, plus tuition fees at the UK/EU rate (currently £4,327 p/a). While we welcome applications from non-EU nationals, please be advised that it will only be possible to fund the tuition fees at the international rate and no stipend will be available. Successful candidates will be notified by 30th September 2019.

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