Plug-in hybrid electric vehicle model reference adaptive optimal energy management method

Abstract

The invention discloses a PHEV adaptive optimization energy management control method based on driving condition prediction, and the method comprises the steps: obtaining future path information through an intelligent traffic system and a vehicle-mounted navigation system, and generating an energy consumption equivalent prediction condition of a future path; establishing a reference ECMS control model, and searching for an optimal ECMS equivalent factor lambda opt and a reference SOCref by taking the energy consumption equivalent prediction working condition as input and taking the lowest oilconsumption as an optimization target; on the basis of the optimal equivalent factor lambda opt and a reference SOCref, correcting the optimal equivalent factor lambda opt according to the actual SOCand the reference SOCref under the actual driving working condition to form a self-adaptive ECMS control model, and calculating the engine torque and the motor torque with optimal oil consumption; andtransmitting the target torques of the engine and the motor and a switching instruction to a bottom layer controller, and distributing the power of the whole vehicle to realize PHEV energy managementand control.

Description

technical field [0001] The invention relates to a vehicle control and energy management method for a plug-in parallel hybrid electric vehicle, in particular to a plug-in parallel hybrid electric vehicle model reference self-adaptive optimal energy management method based on driving condition prediction, which belongs to the new Energy vehicle control technology field. Background technique [0002] With the shortage of fossil energy, the aggravation of environmental pollution and the urgent need for energy conservation and emission reduction, the development of new energy vehicles has received more and more attention. As a member of the field of new energy vehicles, plug-in hybrid electric vehicles (Plug-in Hybrid Electric Vehicles, PHEV) have the advantages of both hybrid electric vehicles (Hybrid Electric Vehicles, HEV) and pure electric vehicles (Blade Electric Vehicles, BEV) much attention. When the battery pack is fully charged, PHEVs adopt the Charge Depleting (CD) mo...

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Problems solved by technology

[0005] (2) The ECMS algorithm needs to obtain the Hamilton function, which requires a large amount of calculation, and is not compatible with the traditional threshold control algorithm in terms of architecture

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