Nowadays, the interest in electric vehicles (EVs) is increasing in parallel with falling prices of batteries, developing battery technology and willing to reduce carbon emissions. However, the most important problem of EVs is still range anxiety. The one pedal driving (OPD), which uses only accelerator pedal to accelerate and decelerate the vehicle, is an alternative solution to further increase the energy efficiency by managing the regenerative braking operation of EVs. In this study, OPD algorithms are developed for an electric bus (E-Bus), which is equipped with a 100 kW electric motor. Algorithms manage the vehicle traction torque without compromising the comfort of the passengers in the vehicle. To evaluate the performance of the developed OPD algorithms for the heavy vehicle, experimental studies have been conducted. The energy efficiency performance of OPD has been tested under different speed profiles as urban traffic, constant speed and stop-and-go traffic. The energy recovery potential of OPD algorithms for different experience levels and driving characteristics of drivers, the adaptability of drivers to OPD driving have been examined for heavy electric vehicles first time. The results show that the OPD performs a precise energy efficiency by managing the regenerative braking operation.

如今，随着电池价格下降，发展电池技术并愿意减少碳排放，对电动汽车（EV）的兴趣与日俱增。然而，电动汽车最重要的问题仍然是范围焦虑。仅使用油门踏板对车辆进行加速和减速的单踏板驱动（OPD）是通过管理EV的再生制动操作进一步提高能源效率的替代解决方案。在本研究中，为配备有100 kW电动机的电动客车（E-Bus）开发了OPD算法。算法在不影响车辆乘客舒适性的情况下管理车辆的牵引扭矩。为评估重型车辆开发的OPD算法的性能，已进行了实验研究。OPD的能效性能已在不同的速度曲线下进行了测试，例如城市交通，恒定速度和走走停停的交通。对于重型电动汽车，首次研究了针对不同经验水平和驾驶员驾驶特性的OPD算法的能量回收潜力，驾驶员对OPD驾驶的适应性。结果表明，OPD通过管理再生制动操作实现了精确的能源效率。