Method and device for predicting charging time, vehicle and storage medium
CN117445712BActive Publication Date: 2026-07-21DONGFENG MOTOR GRP
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DONGFENG MOTOR GRP
- Filing Date
- 2023-11-27
- Publication Date
- 2026-07-21
AI Technical Summary
Technical Problem
Existing technologies make it difficult to accurately predict the charging time of new energy vehicles, which affects user experience and satisfaction.
Method used
By acquiring multiple charging parameters of the vehicle to be predicted, such as the acquisition accuracy of the battery sensor, the output accuracy of the charging pile, the charging time and charging ratio of different charging stages, and combining them with the target total charging time, the charging time is predicted using a formula.
Benefits of technology
It improves the accuracy of charging time prediction, helps optimize the charging performance targets of new energy vehicles, and enhances user experience and market competitiveness.
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Smart Images
Figure CN117445712B_ABST
Abstract
The embodiment of the application discloses a charging time prediction method and device, a vehicle and a storage medium. The charging time prediction method comprises the following steps: obtaining a plurality of charging parameters and a target total charging time of a vehicle to be predicted; the plurality of charging parameters comprise the collection accuracy of a battery sensor, the output accuracy of a charging pile, the charging time of different charging stages and the charging proportion; the charging proportion represents the ratio of the actual charging amount of the vehicle to be predicted to the target charging amount; and the charging time of the vehicle to be predicted is predicted based on the plurality of charging parameters and the target total charging time. The embodiment of the application considers the influence of the plurality of charging parameters of the vehicle to be predicted on the charging time of the vehicle to be predicted, and can predict the charging performance of the vehicle to be predicted by using the charging time of the vehicle to be predicted.
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