Energy recovery from dynamic wheels and suspensions to self-power the autonomous monitoring of carbon emissions from the misalignment of wheels of electric vehicles (EVs)
Tyre and road wear are already significant sources of non-exhaust traffic-related emissions. In particular, most concerns have been focused on the development of electric vehicles (EVs) to avoid emission produced by fuels, however, the additional emissions from tyres and brakes are always ignored. Misalignment of automotive wheel is an unavoidable issue for automotives, which could result in the excessive tyre wear and difficulties in steering. That is more serious for commercial heavy vehicles with more wheels, and can affect the health of the vehicle and safety of the drivers when misalignment cannot be found in time. In addition, the high cost and time consuming to track the wheel alignment and change of the excessively worn tyres have been always complained as the principal limitation in reduction of operations and maintenance cost. The acceleration of damage of tyres due to misalignment reduces the fuel efficiency and negatively impacts on carbon emission and pollution.
Therefore, in tackling the emissions issue from tyres by the proposed PhD project, the autonomous sensing system is required to offer the monitoring and feedback to the drivers to lower carbon emissions from misaligned wheels. The operational vibrations will be targeted to harvest, which is used to self-power the sensing and data communications instead of batteries, with proper optimisation study by the varied driving conditions.
The proposed PhD work will involve a novel design of energy recovery experiments and modelling work package where a novel lightweight suspension will be designed and tested in the Chester Smart Composite Lab led by Prof. Yu Shi. The stochastic resonance will be developed to help harvest energy and monitoring. In addition, the monitoring for the brake will be a separate work package as tyre and brake are two main emission source except engines.
This project is a collaborative work and partially funded by automotive industry RL Automotive who is co-working the Innovate UK funded project with University of Chester, so the successful candidate will have opportunities to work closely with automotive industries and OEM such as Scania, McLaren.
**Qualifications & Eligibility**
We are looking for highly-motivated applicants holding (or close to complete minimum of a master’s degree or a very good undergraduate degree (at least a UK 2:1 honours degree) or its international equivalent in Mechanical Engineering, electrical engineering or the appropriate engineering discipline.
Applicants whose first language is not English must provide evidence of proficiency to IELTS 6.5 with minimum score 5.5 in each band or equivalent.
You should have a strong mechanical-electrical and control background with vibration analysis, sensing, energy harvesting/recovery, MEMS, embedded system, Numerical modelling, FEA, Signal processing, AI technology, all of which are desirable, especially with Automotive background.
A completed University of Chester Postgraduate Research Degree application form including contact details of two referees. Candidates should apply online by clicking the button below and quoting reference number: RA005338/MEC20-07
Candidates should apply online through the link below.
Prospective applicants are encouraged to initially contact Prof Yu Shi to discuss the project further:
E: [Email Address Removed]
T: 01244 517351
For general enquiries contact Postgraduate Research Admissions, University of Chester at [Email Address Removed]
The successful applicant will receive a bursary, to cover UK / EU fees up to 3 years full time. All fees due above the UK/EC rate will normally be paid by the Student.
For academic year 2020/21 the stipend will be £15,285, as determined by the National Minimum Doctoral Stipend specified by UKRI and will be subject to an inflationary increase (normally in line with increases in the UKRI National Minimum Doctoral Stipend) each October up to a maximum of a 4% increase per annum.
Overseas applicants must be self-funding the difference of the tuition fee rate.