Vehicle Control Revolution Under One-Pedal Driving in EVs: Kinetic Energy Recovery Systems Reshaping Driver-Vehicle Interaction
摘要
This study systematically investigates the control revolution enabled by the one-pedal driving mode in electric vehicles (EVs), specifically focusing on the mechanism through which the kinetic energy recovery system (KERS) reconfigures the driving experience. This paper first defines and distinguishes between the full one-pedal mode (100%) and the partial one-pedal mode (80%) in EVs. Subsequently, it introduces the technological innovations in EV control logic: the continuous mapping between pedal travel and motor torque eliminates the dead travel zone characteristic of traditional internal combustion engine vehicles. This establishes a unified control mechanism for bidirectional energy flow, achieving a mechanical linkage effect akin to “the foot directly driving the wheels.” The paper then elaborates on the neuroadaptive reconfiguration mechanism induced by one-pedal driving: prolonged usage triggers muscle memory reorganization, establishing a conditioned reflex of “depress to accelerate /release to brak”. Coupled with the proprioceptive extension effect, the pedal becomes an integrated mechanical extension of the driver’s body. Furthermore, the technological empowerment advantages of EVs are presented: millisecond-level response from the electric drivetrain enables synchronized driver-vehicle intention, while the tactile feedback from regenerative braking reinforces human-machine collaboration. The one-pedal mode demonstrably enhances driving efficiency, reducing lane change duration and emergency braking distance. Strong kinetic energy recovery creates a bidirectional, reversible speed domain. Experimental validation confirms speed control precision at the 0.03–0.04 km/h level. The research demonstrates that the one-pedal mode, through the synergy of neuroadaptive mechanisms and inherent technical characteristics, significantly optimizes driving efficiency and control precision. This provides crucial theoretical support for the future design of human-vehicle interaction in electric vehicles.