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ECMS hybrid electric vehicle energy management strategy based on grey wolf optimization

An energy management, hybrid vehicle technology, applied in electric vehicles, hybrid vehicles, motor vehicles, etc., can solve problems such as long computing time

Active Publication Date: 2021-04-27
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The energy management strategy based on optimization can achieve the global optimal solution, but it needs to be fully known when the working conditions are fully known, and the calculation time is relatively long. Representative strategies include the lowest equivalent hydrogen consumption strategy, dynamic programming, model predictive control, etc.

Method used

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  • ECMS hybrid electric vehicle energy management strategy based on grey wolf optimization
  • ECMS hybrid electric vehicle energy management strategy based on grey wolf optimization
  • ECMS hybrid electric vehicle energy management strategy based on grey wolf optimization

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Embodiment Construction

[0050] In order to make the object, technical solution and advantages of the present invention clearer, the implementation of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific examples.

[0051] figure 1 Shown is the structural diagram of the fuel cell hybrid vehicle system provided in the embodiment of the present invention, the motor is used as the power transmission device of the system; the fuel cell, the battery and the DC / DC converter constitute a composite power supply system, wherein the fuel cell and the battery are used as energy source, the DC / DC converter can convert the fuel cell output voltage to the bus voltage, and the energy manager performs power distribution.

[0052] figure 2 Shown is the overall optimization flow chart of the equivalent hydrogen consumption minimum energy management control strategy based on the gray wolf algorithm, which is represented by figure 1 The power system...

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Abstract

The invention discloses an ECMS hybrid electric vehicle energy management strategy based on grey wolf optimization, and belongs to the field of fuel cell hybrid electric vehicle energy management, and the strategy comprises the steps: building a whole vehicle dynamic model according to the parameters of a vehicle and the characteristics of an FCHEV; building a fuel cell hybrid power energy management model based on an ECMS strategy; and based on the target of improving the vehicle economy, aiming at the problem of equivalent factor optimization in an ECMS strategy, adopting a grey wolf optimization algorithm (GWO) to adjust an ECMS equivalent factor. By the adoption of the technical scheme, reasonable power distribution between fuel cells can be achieved, and on the premise that the power performance is met, the maximum economical efficiency and the stable driving performance are obtained.

Description

technical field [0001] The invention belongs to the field of energy management of fuel cell hybrid vehicles, and in particular relates to an ECMS hybrid vehicle energy management strategy based on gray wolf optimization. Background technique [0002] In recent years, the energy crisis and environmental problems have become more and more serious, and the fuel emission of automobiles is the primary problem among them. Fuel cell (FC) technology is generally considered as a potential solution because it uses renewable fuels and is environmentally friendly. High energy efficiency and low waste products are the advantages of this system. These are due to the direct conversion of fuel into electricity. Furthermore, proton exchange membrane fuel cells (PEMFCs) are the best energy storage for EV systems due to their simplicity, feasibility, fast start-up, high power density, relatively large electrical efficiency, and operation at lower temperatures. one of the systems. [0003] H...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60W20/15B60W50/00B60L58/40
CPCB60W20/15B60W50/00B60L58/40B60W2050/0019B60W2050/0031B60L2210/10Y02T10/70
Inventor 顾诚周健豪刘军吴旭阳徐达李超雄
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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