Optimized recuperation strategy for (Hybrid) Electric Vehicles based on intelligent sensors

The limited range of Battery Electric Vehicles (BEV) is a major restraint for their market acceptance. This paper shows that efficiency - hence range - increase can be achieved by optimal distribution of driving and braking torque to the electric machines of an EV. Furthermore, a novel strategy for efficient recuperation of kinetic energy during the braking process of a (H)EV based on intelligent sensors is introduced. Both mentioned approaches take a detailed model of the vehicle's dynamics and powertrain characteristics into account. The strategy is utilized in an Advanced Driver Assistance System, which enables guided anticipatory driving for the driver. It is shown that the proposed semi-automatic process allows increased recuperation capabilities compared to state-of-the-art regenerative braking with torque blending. An improvement of energy regeneration efficiency of 31.7 percentage points compared to a standard serial regenerative braking system is achieved in a typical braking scenario.