Charge state correction and prediction method based on electric vehicle charging big data

An electric vehicle, state of charge technology, applied in electric vehicles, battery/fuel cell control devices, vehicle energy storage, etc., can solve problems affecting accurate monitoring and management of electric vehicles

Active Publication Date: 2021-10-01
四川嘉垭汽车科技有限公司
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Problems solved by technology

However, the SOC value of the battery is mostly obtained by analyzing the BMS message. Due to the battery strategy of the manufacturer, the SOC value of the big data platform at this time is not the real SOC value. Therefore, there are certain calculations and applications based on the SOC of the big data platform. Errors, the accumulation of errors will affect the accurate monitoring and management of electric vehicles

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  • Charge state correction and prediction method based on electric vehicle charging big data
  • Charge state correction and prediction method based on electric vehicle charging big data
  • Charge state correction and prediction method based on electric vehicle charging big data

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Embodiment Construction

[0066] The specific embodiments of the present invention are described below to facilitate those skilled in the art to understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Such changes are obvious within the spirit and scope of the present invention as defined and determined by the appended claims, and all inventions and creations utilizing the inventive concept are within the scope of protection.

[0067] A state-of-charge correction and prediction method based on electric vehicle charging big data, such as figure 1 shown, including the following steps:

[0068] S1. Obtain the charging data of the battery sensor of the electric vehicle and preprocess it on the big data platform;

[0069] Specifically, in this embodiment, the quality of the data collected on the big data platform is deteriorated due to problems such as unst...

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Abstract

The invention discloses a charge state correction and prediction method based on electric vehicle charging big data. The charge state correction and prediction method comprises the following steps: firstly, acquiring electric vehicle battery sensor charging data and preprocessing the electric vehicle battery sensor charging data in a big data platform; then, correcting the SOC value of the state of charge at each moment in the battery charging process through the big data platform, and obtaining the corrected current SOC continuous value; and finally, based on the corrected SOC continuous value, utilizing the residual error correction model to predict the real SOC value of the battery. Thus, the correction method is provided to solve the problem that the charging SOC value of the big data platform is inaccurate, a residual error correction model is provided for the application, and compared with a single model, the real SOC value of the battery is predicted. the model provided by the invention can better predict the SOC value.

Description

technical field [0001] The invention relates to the field of new energy vehicle batteries, in particular to a state-of-charge correction and prediction method based on electric vehicle charging big data. Background technique [0002] With the development of new energy technology and big data, the integration and application of new energy vehicles and vehicle big data has become an inevitable result of the development requirements of the times. What emerges as the times require is the new energy vehicle big data platform. Monitoring and management of electric vehicles, including the collection of power battery parameters. However, the SOC value of the battery is mostly obtained by analyzing the BMS message. Due to the policy problem of the manufacturer's battery, the SOC value of the big data platform at this time is not the real SOC value. Therefore, there are certain calculation applications based on the SOC of the big data platform. Errors, the accumulation of errors will...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60L58/12
CPCB60L58/12B60L2240/54Y02T10/70
Inventor 胡广地赵旭胡坚耀李丞王旭
Owner 四川嘉垭汽车科技有限公司
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