Plug-in hybrid electric vehicle energy optimization management method realizing real-time working condition adaption

Abstract

The invention relates to a plug-in hybrid electric vehicle energy optimization management method realizing real-time working condition adaption. The plug-in hybrid electric vehicle energy optimization management method includes the steps of (1), acquiring real-time working condition information of each section of each path; (2), setting the optimization target of minimizing accumulated equivalent fuel consumption of each section of each path, building the plug-in hybrid electric vehicle energy optimization management strategy based on the dynamic planning by taking the speed limit of each section of each path, the traffic flow velocity and the limit of power battery working current; (3), acquiring corresponding target economical speed of each section of each path and sending the same to a vehicular controller; (4), by the vehicular controller, acquiring demanded torque sequence of each moment within a predicted time scale; (5), taking the minimum accumulated equivalent fuel consumption within the predicted time scale as the target, and tracking the target economic speed in real time. Compared with the prior art, the method has the advantages of combining the global optimum and the real-time optimum of the plug-in hybrid electric vehicle energy consumption according to the real-time working condition information, and the like.

Description

technical field [0001] The invention relates to the field of real-time energy optimization management of plug-in hybrid electric vehicles, in particular to a real-time working condition self-adaptive energy optimization management method of plug-in hybrid electric vehicles. Background technique [0002] With the increasingly stringent requirements of automobile energy consumption and emission regulations, plug-in hybrid electric vehicles will gradually replace traditional fuel vehicles and become the mainstream of new energy vehicles for a long period of time before battery technology makes breakthroughs. Energy management strategy is the key technology of plug-in hybrid electric vehicle, which can optimize the fuel economy of the vehicle by coordinating the control of the engine and the electric motor. [0003] At present, the rule-based energy management strategy of plug-in hybrid electric vehicles has been applied industrially, but it cannot guarantee the optimal energy c...

AI Technical Summary

Problems solved by technology

[0003] At present, the rule-based energy management strategy of plug-in hybrid electric vehicles has been applied industrially, but it cannot guarantee the optimal energy consumption.

The energy management strategy based on the minimum equivalent fuel consumption makes the equivalent fuel consumption optimal at each moment, but it cannot guarantee the global optimal

The energy management strategy based on the dynamic programming algorithm can guarantee the global optimal energy consumption of plug-in hybrid electric vehicles, but it cannot guarantee the real-time optimization of energy consumption.

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