Energy management optimization control method for hybrid electric vehicle based on V2X

A hybrid vehicle and energy management technology, applied in program control, comprehensive factory control, comprehensive factory control, etc., can solve problems such as inability to achieve real-time control

Active Publication Date: 2016-07-13
HEFEI UNIV OF TECH
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Problems solved by technology

However, the combined algorithm of MPC and DP, ECMS, PMP or improved methods of these algorithms, as well as some other optimization-based control algorithms, have always been unable to achieve real-time control
Moreover, in the process of using these methods to solve the problem, the contro

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  • Energy management optimization control method for hybrid electric vehicle based on V2X
  • Energy management optimization control method for hybrid electric vehicle based on V2X
  • Energy management optimization control method for hybrid electric vehicle based on V2X

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Embodiment Construction

[0081] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0082] The hierarchical energy management optimization control method of the V2X-based hybrid electric vehicle of the present invention obtains the optimal target vehicle speed through the multi-objective optimization algorithm and model prediction algorithm integrated by the upper controller, and feeds back the optimal target vehicle speed through wireless transmission For the driver of each vehicle, the driver accelerates or brakes according to the optimal target speed.

[0083] see figure 1 , figure 1 It is a schematic diagram of a hierarchical energy management optimization control method for a V2X-based hybr...

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Abstract

The invention discloses a hierarchical energy management optimization control method for a hybrid electric vehicle based on V2X. Based on the Internet of Vehicles, vehicle-to-vehicle communication and vehicle-to-infrastructure communication are carried out; through traffic signal lamp timing and a model predictive algorithm integrated by an upper comptroller, the optimal target vehicle speed sequence for a given time window is acquired, the optimal target vehicle speed sequence is fed back to a driver of each vehicle in a wireless transmission mode, and the driver performs acceleration or braking according to the optimal target vehicle speed sequence. Compared with the prior art, the hierarchical energy management optimization control method for the hybrid electric vehicle based on V2X of the invention has following advantages that the optimal target vehicle speed is acquired, oil consumption for the hybrid electric vehicle can be effectively reduced on the basis of avoiding stopping for the red lamp or collision, real-time energy management for the hybrid electric vehicle is realized, and a new idea is provided for real-time energy management and optimization for the hybrid electric vehicle.

Description

technical field [0001] The present invention relates to an energy management optimization control method for a hybrid electric vehicle, in particular to a V2X-based hierarchical energy management optimization control method for a hybrid electric vehicle. Background technique [0002] The energy management control system of hybrid electric vehicles is a nonlinear, multivariable, time-varying, and non-differentiable system. It is a hot and difficult point in the field of hybrid electric vehicles, which directly affects the power, economy, and comfort of hybrid electric vehicles. and emission performance. [0003] The rule-based control method has achieved industrial application, while the optimization-based control method mainly stays in the theoretical research stage. In order to get the theoretical optimal solution, some scholars combine model prediction (model predictive control, MPC) and dynamic programming (dynamic programming, DP). Considering the time cost of calculat...

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Application Information

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IPC IPC(8): G05B19/418
CPCG05B19/41875Y02P90/02
Inventor 钱立军邱利宏阚萍程伟辛付龙
Owner HEFEI UNIV OF TECH
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