Intelligent Power Management of E-Fleets Using V2X-Disseminated Updates of Route Driving Cycle

Electrification of public fleets is considered a strategic choice towards clean and efficient public transportation systems. From a comparative perspective, electric drivelines are characterized with efficient energy use during idling stops, low-speed coasting, and regenerative braking. However, range anxiety and fast degradation of energy storage systems are major challenges of electric vehicles. In this regard, dynamically changing traffic conditions and ridership demand contribute to the complexity of trip planning and on-board control problems. This paper proposes an intelligent approach for route-oriented power management, based on dynamic updates of driving cycle and ridership information. A pilot-example within a case-study for Cairo, Egypt is presented considering a car-fail scenario, wherein the speed profile and passenger demand of the succeeding vehicle is changed accordingly. An abstracted optimization problem is solved to ensure optimal on-board charge retention and driveability of the vehicle considering auxiliary loading and ridership. The initial results reveal a significant improvement in charge retention despite the increased ridership requirements at minimal mitigation of driveability.