Hydrogen fuel cell vehicle endurance mileage prediction method based on XGBoost algorithm

A technology of cruising range and prediction method, applied in the field of cruising range prediction of hydrogen fuel cell vehicles, can solve problems such as cruising range prediction, and achieve the effect of improving the effect

Active Publication Date: 2021-09-07
广东兰氢科技有限公司
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Problems solved by technology

This method solves the problem of cruising range prediction of existing hydro

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  • Hydrogen fuel cell vehicle endurance mileage prediction method based on XGBoost algorithm
  • Hydrogen fuel cell vehicle endurance mileage prediction method based on XGBoost algorithm
  • Hydrogen fuel cell vehicle endurance mileage prediction method based on XGBoost algorithm

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Embodiment Construction

[0042] The present invention provides a hydrogen fuel cell vehicle cruising range prediction method based on the XGBoost algorithm. In order to make the purpose, technical solution and effect of the present invention clearer and clearer, the present invention will be further described in detail below. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0043] In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", " Orientation indicated by rear, left, right, vertical, horizontal, top, bottom, inside, outside, clockwise, counterclockwise, etc. The positional relationship is based on the orientation or positional relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than ...

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Abstract

The invention discloses a hydrogen fuel cell vehicle endurance mileage prediction method based on an XGBoost algorithm, the core of the method is that an algorithm model is preset, the algorithm model is an XGBoost (eXtremeGradient Boosting, extreme gradient boosting) algorithm, the method comprises the following steps: firstly, obtaining various current related data of a vehicle, analyzing and judging the current vehicle working condition, and also obtaining vehicle fuel cell data, hydrogen system data and other vehicle data, performing proportional combination on the current data and historical data corresponding to the vehicle working condition and then inputting into the algorithm model, and predicting a future consumption curve of hydrogen under the current working condition. The algorithm has the advantages that the algorithm model required by the current operation for predicting the endurance mileage is optimized and adjusted by continuously utilizing the residual error of the previous algorithm model so that the algorithm model required by the prediction operation is more and more convergent along with the increasing and increasing of the data volume and the increasing and increasing of the number of iterations, and the prediction precision is continuously improved.

Description

technical field [0001] The present invention relates to the field of industrial big data data mining, in particular to a method for predicting the cruising range of a hydrogen fuel cell vehicle based on an XGBoost algorithm. Background technique [0002] With the increasingly prominent problems of environmental pollution and energy crisis, the use and promotion of new energy has gradually become an important research direction. Among new energy sources, hydrogen energy has broad application prospects due to its high efficiency and environmental protection characteristics. Fuel cell vehicles are one of the important application forms of hydrogen energy. With the advancement of fuel cell technology and hydrogen production and storage technology, fuel cell vehicles have now reached a certain scale of commercial use. The fuel cell is the core of the fuel cell vehicle, and the study of the fuel cell's hydrogen consumption when the fuel cell vehicle is running under different wo...

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Application Information

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IPC IPC(8): B60L3/12G06F30/20G06F17/18G06Q10/04G06Q50/06G06Q50/30
CPCB60L3/12G06F30/20G06F17/18G06Q10/04G06Q50/06G06Q50/30G06F2111/10Y02T10/40
Inventor 周宁邵乔周建新隋邦傑
Owner 广东兰氢科技有限公司
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