Vehicle Independent Road Resistance Estimation Using Connected Vehicle Data

Other conference contribution, 2018

This paper is investigating if it possible to use vehicle log data to estimate vehicle independent road resistance parameters that can have large local variations and change rapidly, such as wind speed, wind direction and road surface conditions. The estimated parameters can be used to improve range estimation, route planning and vehicle energy management. The advantage with using vehicle independent parameters is that data from any vehicle can be used to improve the estimation and that all vehicles can benefit from the estimated data. An analytical solution previously presented for parameter estimation is verified on vehicle log data. Results show that the method works reasonably well for wind speed estimation and that changes in road conditions can be detected. Side wind affects need to be considered in future work