Experimental analysis of the V-Charge variable drive supercharger system on a 1.0 L GTDI engine

Autor: Sam Akehurst, Pengfei Lu, Andrew Damian De Freitas, Darren Millwood, Colin Copeland, James Shawe, Edward Chappell, Andrew Lewis, Dave Burtt, Bo Hu

Publikováno v: Hu, B, Akehurst, S, Lewis, A G J, Lu, P, Millwood, D, Copeland, C, Chappell, E, De Freitas, A, Shawe, J & Burtt, D 2018, ' Experimental analysis of the V-Charge variable drive supercharger system on a 1.0 L GTDI engine ', Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, vol. 232, no. 4, pp. 449-465 . https://doi.org/10.1177/0954407017730464

A compound charging system that pairs a turbocharger with a supercharger seems to be a potential trend for future passenger car gasoline engines, as the strength of both could be enhanced and the deficiencies of each could be offset. The use of a fix

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a32e5690277eaac580c8690e9e1d633
https://doi.org/10.1177/0954407017730464

A support vector clustering based approach for driving style classification

Autor: Yuxiang Feng, Edward Chappell, Pejman Iravani, Chris Brace, Simon G Pickering

Publikováno v: Feng, Y, Pickering, S, Chappell, E, Iravani, P & Brace, C 2019, ' A support vector clustering based approach for driving style classification ', International Journal of Machine Learning and Computing, vol. 9, no. 3, pp. 344-350 . https://doi.org/10.18178/ijmlc.2019.9.3.808

All drivers have their own habitual choice of driving behavior, causing variations in fuel consumption. It would be beneficial to classify these driving styles and extract the most economical and ecological driving patterns. However, driving style of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b20c58666a23bea72730dee8bfcbc69
https://purehost.bath.ac.uk/ws/files/194952211/A_Support_Vector_Clustering_based_Approach_.pdf

A novel use of multivariate statistics to diagnose test-to-test variation in complex measurement systems

Autor: Keeley A. Burke, Edward Chappell, Richard Burke, Mike Gee, Rod Williams

Publikováno v: Burke, R D, Burke, K A, Chappell, E C, Gee, M & Williams, R 2018, ' A novel use of multivariate statistics to diagnose test-to-test variation in complex measurement systems ' Measurement, vol. 130, pp. 467-481 . https://doi.org/10.1016/j.measurement.2018.07.059

Vehicle testing is critical to demonstrating the cost-benefits of new technologies that will reduce fuel consumption, CO 2 and toxic emissions. However, vehicle testing is also costly, time consuming and it is vital that these are conducted efficient

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9d71cd875caa3250af7b97918109b7d
https://purehost.bath.ac.uk/ws/files/186181492/J26_PLS.pdf

Factors Affecting Test Precision in Latest Vehicle Technologies

Autor: Michael Gee, Keeley A. Burke, Edward Chappell, Richard Burke, Rod Williams

Publikováno v: SAE Technical Paper Series.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ec2a6e8c228d9f692169cd2e62c66bf3
https://doi.org/10.4271/2018-01-0640

Distance Estimation by Fusing Radar and Monocular Camera with Kalman Filter

Autor: Christian J Brace, Pejman Iravani, Yuxiang Feng, Simon G Pickering, Edward Chappell

Publikováno v: Feng, Y, Pickering, S, Chappell, E, Iravani, P & Brace, C 2017, Distance Estimation by Fusing Radar and Monocular Camera with Kalman Filter . in SAE Intelligent and Connected Vehicles Symposium ., 2017-01-1978, SAE International, SAE Intelligent and Connected Vehicle Symposium 2017, 26/09/17 .

The major contribution of this paper is to propose a low-cost accurate distance estimation approach. It can potentially be used in driver modelling, accident avoidance and autonomous driving. Based on MATLAB and Python, sensory data from a Continenta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ce529369bcb9c13e47ccbce3a9237c9
https://doi.org/10.4271/2017-01-1978