PHEV self-adaptive optimal energy management method based on path information

Abstract

The invention discloses a PHEV self-adaptive optimal energy management method based on path information, and the method comprises the steps: planning a driving path through a vehicle-mounted navigation system, and generating a prediction condition of a front path; establishing a travel mileage prediction strategy to predict the travel mileage of the user every day; generating a reference SOC basedon an SOC planning algorithm through the generated prediction data and the initial SOC; carrying out an APMP optimization algorithm, specifically, taking the minimum oil consumption as a global optimization target, introducing a collaborative state value, and converting a global optimization problem into a plurality of instantaneous optimization problems with Hammeton operators; optimizing the cooperative state initial value by adopting a genetic algorithm; solving an initial value of the cooperative state in the MAP by utilizing an interpolation method, and correcting the initial value of the cooperative state in real time according to the working condition information obtained by the vehicle navigation system and the reference SOC; and using a PMP optimization algorithm to carry out power distribution, transmitting the power to each execution component controller through a CAN bus, and completing whole vehicle control of the PHEV.

Description

technical field [0001] The invention relates to a vehicle control method for a plug-in parallel hybrid electric vehicle, in particular to an adaptive optimal energy management method for a plug-in parallel hybrid electric vehicle based on path information, and belongs to the technical field of new energy vehicle control. Background technique [0002] With the increasing aggravation of energy crisis, environmental pollution, global warming and the urgent need for energy conservation and emission reduction, the development of new energy vehicles has received more and more attention. A plug-in hybrid electric vehicle (Plug-in Hybrid Electric Vehicle, PHEV) has a battery with a larger capacity than a hybrid electric vehicle (Hybrid Electric Vehicle, HEV), and can obtain electric energy from the grid. PHEV has the advantages of both HEV and battery electric vehicles (BEV). When the battery is fully charged, PHEV is in charge depleting (CD) mode and is mainly driven by a motor, wh...

AI Technical Summary

Problems solved by technology

However, due to the reverse solution, the premise of the DP algorithm is that the working conditions are known, and the calculation amount is huge, which obviously cannot be directly applied to the energy management of the actual PHEV vehicle

The ECMS algorithm is an instantaneous optimal control algorithm, which can achieve instantaneous optimality, but it is still not globally optimal when the working conditions change. Moreover, the ECMS algorithm is mainly used in hybrid electric vehicles, and its constraints require the SOC to maintain a balance

Therefore, it is difficult to directly apply to the control of PHEV

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