Regenerative braking enables the conversion of kinetic energy into electrical energy, which increases the range of electric vehicles. Regenerative braking greatly reduces the need to use friction brakes. Depending on the powertrain architecture (mild HEV, PHEV, BEV), the operating conditions of the friction brake vary significantly. The decision to what degree the vehicle speed is reduced by regenerative braking also depends on many other parameters, like the state of charge, the steering angle, or the driving style. Nevertheless, the use of regenerative braking is expected to make a significant contribution to the reduction of total non-exhaust PM. The amount of this contribution is still largely unknown, especially for real world driving conditions. In this study, the regenerative braking performance of a battery electric vehicle is analysed under variation of different pre-programmed recuperation modes during on-road tests. For data acquisition, the vehicle is equipped with numerous sensors and data acquisition systems. The collected data can be used to map the characteristics of the recuperation modes. The anomalies and effects detected during data acquisition represent the challenges that exist in the simulation of regenerative braking on the inertia dynamometer and especially for potential legislative procedures.

TU Ilmenau: Mr. Christopher Hamatschek, Dr. David Hesse, Dr. Valentin Ivanov, Prof. Dr.-Ing Thomas Bachmann; AUDI AG: Dr. Sebastian Gramstat, Dr. Anton Stich