A PMP-based energy management method for model predictive control of plug-in hybrid electric vehicles
A technology of model predictive control and hybrid electric vehicles, applied in adaptive control, data processing management, general control system, etc., can solve the problems of not considering the impact of battery temperature and low calculation efficiency, and achieve good real-time performance and calculation efficiency High, fast convergence effect
Active Publication Date: 2022-06-03
CHONGQING UNIV
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AI Technical Summary
Problems solved by technology
Most of the current model predictive control algorithms for plug-in hybrid electric vehicles are based on dynamic programming, resulting in low computational efficiency, and do not take into account the impact of battery temperature on battery life during operation
Method used
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Embodiment Construction
[0066] 1) Build a parallel PHEV model: including an engine, an electric motor and a torque distribution device.
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[0070] battery internal resistance R
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[0074] The objective function simultaneously considers the influence of fuel consumption, power consumption and battery temperature rise, and coordinates and optimizes three objectives. exist
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[0082] The vehicle historical speed sequence v (t
[0085] As shown in FIG. 8, it is a flow chart of the energy management method according to the present invention. Using the PMP-based PMP involved in this example
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The invention relates to an energy management method for model predictive control of a plug-in hybrid electric vehicle based on PMP, and belongs to the field of new energy vehicles. The method includes: S1: using GPS equipment and a vehicle speed sensor to obtain the historical travel data of the bicycle; S2: using the historical data of the bicycle to train the ELM model offline to obtain the ELM vehicle speed prediction model; S3: establishing a parallel PHEV model and lithium-ion battery temperature S4: Determine the cost function according to the battery temperature rise model; S5: Put the results obtained by the upper vehicle speed prediction model into the model predictive controller based on PMP, and obtain the optimal speed by solving a multi-objective and multi-constraint optimization problem. moment distribution. The algorithm of the invention has good real-time performance; at the same time, the impact of battery temperature on battery health is considered in the cost function, which provides a new direction for energy management.
Description
An energy tube for model predictive control of plug-in hybrid electric vehicles based on PMP management method technical field The invention belongs to the new energy vehicle field, relate to a kind of plug-in hybrid electric vehicle model prediction based on PMP Controlled energy management methods. Background technique [0002] In recent years, the rapid growth of the number of automobiles makes energy saving and environmental protection issues more and more people's attention. along with With the rapid development of intelligent network technology, vehicle and external information data, such as vehicle driving conditions, system operating status, road It is becoming easier and easier to obtain data such as road traffic information and GPS (Global Positioning System) real-time location. The development of artificial intelligence technology has also made the huge historical data more valuable. The development of intelligent network technology is to promote An im...
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IPC IPC(8): G05B13/04
CPCG05B13/042Y02T10/84
Inventor 唐小林贾桐阳鑫胡晓松邓忠伟李佳承
Owner CHONGQING UNIV