The invention discloses a parallel plug-in
hybrid electric vehicle (PHEV)
energy management method based on an
intelligent transportation system. The parallel PHEV
energy management method based on the
intelligent transportation system mainly comprises the steps that a reference SOC generating
algorithm and a PHEV parameter self-adaptive
vehicle control algorithm are used as the bases for predicting the working condition; the working condition information such as the front path traveling mileage, the road gradient, traffic light signals and vehicle speed distribution is obtained through an ITS
system according to the reference SOC generating
algorithm, and the predicted working condition of a front path is generated through a working condition predicting algorithm; the required traveling power, the vehicle speed
distribution characteristic and the traveling mileage of the front path are calculated according to the predicted working condition, and the reference SOC (SOC ref) is generated through the reference SOC generating algorithm; and real-time online adjustment of the a PHEV control threshold parameter is achieved through the PHEV parameter self-adaptive
vehicle control algorithm according to the SOC ref, and the engine torque and the
motor torque are distributed reasonably. By the adoption of the parallel PHEV
energy management method based on the
intelligent transportation system, online adjustment of the control parameter of a PHEV energy
management strategy can be achieved according to the front traveling working condition, the
electricity quantity of batteries is distributed and used reasonably, and the operating efficiency of an engine and the economical efficiency of a PHEV are improved.