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SmartNAV Project

The majority of Electric Vehicles scheduled to be sold within the UK will have a range less than 100 miles. Drivers will need to cope with the new challenge of making the most of their limited range. These new challenged have sparked an interest in 'Telematics'. The aim is to provide an on board system which removes the anxiety of reduced range by providing the driver with information about the state of charge, the distance that can be covered with the charge remaining, the location of the next charging station and the distance and directions to reach a station.

Several automotive manufacturers have already invested heavily in new and very sophisticated telematic system which is embedded within the car from new. However, many of the smaller automotive manufactures who are developing electric vehicles such as Tesla (UK) and CODA (USA) would benefit from research into the development of a smaller, more Satellite Navigation System approach, which can be supplied as an accessory or an ¿add on¿ at vehicle purchase yet still provide a large amount of data.


Staff
Dr. David Baglee
Dr. Mike Knowles
Dr. Alan Yau


Drive Cycle Capture
Drive cycles describe the speed of a vehicle over a period of time and form the basis of propulsion system design. In order to support the development of electric vehicles a suite of web enabled software will be developed to create drive cycle data which will support research into operational issues related to electric vehicle roll-out. This data will be captured using the following methods.

  • Using mobile GPS enabled devices to log position against time. This data will then be converted into drive cycles.
  • Using direction providing services such as Google Maps.

Try the current version of our prototype Drivecycle Generator here


Smart Navigation
An on-board system will be developed to provide GPS enabled navigation tailored to the needs of electric vehicle operation. The aim is to address the anxiety created by reduced range by incorporating energy efficiency and charging point locations as criteria for route selection.


Reliability Analysis of Electric Vehicles
Data captured during the activities described above will be used to assess the reliability and maintenance issues associated with electric vehicles. This will lead to a number of case studies in areas such as reliability management, range, charging patterns etc.


Publications
Knowles M.J., Ren Q. and Baglee D. The state of the art in fuel cell condition monitoring and maintenance. The 25th World Battery, Hybrid and Fuel Cell Symposium and Exhibition (EVS 25). Shenzen,China.

Knowles, Michael, Baglee, David, Carroll, Steve, Walsh , Chris, Carter, Rebecca and Cruden, Andrew (2011) Analysis of the Efficiency of Electric Vehicle Rapid Charge Systems. In: Hybrid and Electric Vehicle Conference (HEVC) 2011, 18th - 19th May 2011, Warwick UK.