Wheel force estimation and control allocation using strain gauge measurements
In recent years, in the automotive industry, there has been a significant turn towards the development of model based active safety and advanced driver assistance systems with the aim to reduce development costs and improve the communication channels between OEMs departments as well as tier suppliers. Furthermore, as this has become recently possible, one of their main targets now is to virtually homologate as many active safety systems as possible. However, as a study by Cranfield University and Volvo has shown, one of the identified bottlenecks is the lack of accurate and reliable tire models especially when needed to describe the behaviour at the limits of handling and for combined loading conditions. The interaction between tyre and road is complex, and different tyres and roads have different characteristics. Tire pressure and/or temperature can influence significantly the behaviour. Even when only considering the longitudinal stiffness the experimental values differ considerably between tyres, and the variability can typically be 20–100%. Researchers attempted to measure tire forces using smart tires but this solution is extremely complex, expensive and not appropriate for real time applications. In the proposed PhD program we propose to eliminate this bottleneck by measuring directly the tyre forces and thus circumvent the need to model them.
Duration: 3 years Fixed Term (Studentships are available to commence during academic year 15/16 - start date will be specified to successful candidates)
About the Centre/Department
Our research in Mobility & Transport works across our faculties and focuses on the design and engineering of future transport systems, including the growing influence of the internet and connectivity. The focus is on inclusive, sustainable and safe transport integrating the strongest research elements in design and engineering.
The team will offer a holistic approach, integrating the best of our Transport Design and Engineering Research developing for example, specific applications around autonomy and durability in vehicle electrification. The research will also extend our existing work in crash protection to investigate new advanced driver assistance and active safety systems that communicate with the infrastructure and with other vehicles to avoid or mitigate the consequences of accidents. Our existing strengths in road based transport systems will be extended taking our work in light-weighting, wireless sensing, occupant protection/comfort and cyber security into new transport sectors that include not only rail, aerospace and marine but also the emergency services.
This area brings together a number of established and growing areas of research expertise and focused themes. These include: vehicle design and styling, vehicle electrification, user centred design, human factors and ergonomics, structural optimisation and light-weighting, wireless sensing, vehicle dynamics and safety, aerospace engineering, autonomous systems, connectivity and cyber security and human systems integration.
Successful applicants will have:
- A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the Project element or equivalent with a minimum 60% overall module average, or
- A Masters Degree in a relevant subject area will be considered as an equivalent. The Masters must have been attained with overall marks at merit level (60%). In addition, the dissertation or equivalent element in the Masters must also have been attained with a mark at merit level (60%), or
- A taught Masters degree in a relevant discipline, involving a dissertation of standard length written in English in the relevant subject area with a minimum of a merit profile: 60% overall module average and a minimum of a 60% dissertation mark.
- The potential to engage in innovative research and to complete the PhD within a three-year period of study.
- A minimum of English language proficiency (IELTS overall minimum score of 7.0 with a minimum of 6.5 in each component)where applicable
Find out how to apply: http://www.coventry.ac.uk/research/research-students/how-to-apply/
See the website: http://www.coventry.ac.uk/research/research-students/research-studentships/wheel-force-estimation-and-control-allocation-using-strain-gauge-measurements/