Method for predicting state of charge of battery of electric vehicle
A battery state of charge, electric vehicle technology, applied in electric vehicles, battery/fuel cell control devices, vehicle energy storage, etc., can solve the problem of complexity of accurate prediction, and achieve the effect of improving prediction accuracy
Active Publication Date: 2021-11-09
张立佳 +3
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Problems solved by technology
[0002] Accurate prediction of electric vehicle battery SOC (State of Charge, state of charge) is complex
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[0049] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0050] Those skilled in the art can understand that, unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meanings as commonly understood by those of ordinary skill in the art to which this application belongs. It should also be understood that terms, such as those defined in commonly used dictionaries, should be understood to have m...
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The invention discloses a method for predicting the state of charge of a battery of an electric vehicle. The method comprises the following steps: acquiring current state data of the battery of the electric vehicle; according to the obtained current state data, predicting the obtained potential discharge capability and the potential charge capability of the battery of the electric vehicle, and predicting the current performance capability of the battery by adopting an artificial neural network; predicting the current potential capability of the battery by adopting an artificial neural network according to the current state of the battery and the predicted performance capability; and predicting the current state of charge of the battery of the electric vehicle according to the current performance capability and potential capability of the battery. According to the method, the performance capability and the potential capability of the electric vehicle battery are predicted by adopting the artificial neural network, and the charge state of the electric vehicle battery is predicted according to the performance capability and the potential capability, so that the prediction accuracy of the charge state of the electric vehicle battery is greatly improved; and it is ensured that an accurate state-of-charge prediction result can be obtained in the whole life cycle of the battery of the electric vehicle.
Description
technical field [0001] The present application relates to the technical field of electric vehicles, in particular to a method for predicting the state of charge of an electric vehicle battery. Background technique [0002] Accurate prediction of electric vehicle battery SOC (State of Charge, state of charge) is complex. The cruising range of electric vehicles is also affected by many factors such as the state of the battery itself, the level of the driver, and traffic conditions. Therefore, accurately predicting the state of charge of the battery is very important for effectively guiding the driver to increase the cruising range under the current technical level. important role. Improving the prediction accuracy of electric vehicle battery state of charge is a current problem to be solved. Contents of the invention [0003] The purpose of this application is to provide a method for predicting the state of charge of an electric vehicle battery. In order to provide a basi...
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IPC IPC(8): B60L58/12
CPCB60L58/12Y02T10/70
Inventor 张立佳周翔蔡榕徐国宁
Owner 张立佳