PHEV energy management control with trip-oriented energy consumption preplanning

摘要

A driving pattern based plug-in hybrid electric vehicle (PHEV) energy consumption preplanning process enables a PHEV trip-oriented energy management control (TEMC) to utilize scalable levels of available trip foreknowledge in order to optimize the onboard energy (fuel and electricity) usage. The preplanning process generates an optimal battery state-of-charge (SOC) depletion profile for a given trip to be traveled by a PHEV. The preplanning process may generate the battery SOC profile using a driving pattern based dynamic programming (DP) algorithm. The TEMC controls the onboard energy usage in accordance with the battery SOC profile, which is optimized for the trip. The preplanning process makes use of spatial domain normalized drive power demand (SNDP) (or S-NDP) distributions in which each set of distributions is indicative of a respective driving pattern. The trip foreknowledge is used to select the driving pattern best representative of the driving process for the trip.

主权项

1. A system comprising:
a controller configured to control battery usage of a vehicle during a vehicle trip according to a battery state-of-charge (SOC) profile generated from dynamic programming of a fuel consumption rate and a battery electricity depletion rate based on a spatial domain normalized drive power (SNDP) distribution of a predefined driving pattern corresponding to the trip, the SNDP distribution being a drive power demand distribution of the driving pattern in a spatial domain with total propulsion energy for the trip is calculated by:
Eprop=∫OTPwhldt=∫OSPsndpds, wherein, Pwhl is the time domain drive power demand, T is the total trip time duration, S is distance until charge, Psndp is the spatial domain normalized drive power.