Battery conditioning optimization method and apparatus for a vehicle
By analyzing driving data in real time and using artificial intelligence models to predict battery temperature changes, and adjusting the battery temperature using cooling or heating devices, the problems of prolonged battery charging time and performance degradation are solved, achieving efficient charging and battery protection.
CN122126140APending Publication Date: 2026-06-02HYUNDAI KEFICO CORP
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HYUNDAI KEFICO CORP
- Filing Date
- 2025-11-28
- Publication Date
- 2026-06-02
AI Technical Summary
Technical Problem
Existing technologies fail to adequately account for the impact of battery temperature changes on charging efficiency when predicting the battery charging time of electric vehicles when they arrive at charging stations, resulting in longer charging times and decreased battery performance.
Method used
By collecting and analyzing driving data in real time, artificial intelligence models are used to predict battery temperature changes, and cooling or heating devices are used to adjust the battery temperature to its optimal state before arriving at the charging station, thus optimizing charging conditions.
Benefits of technology
It shortens battery charging time, improves charging efficiency, and protects battery performance and lifespan.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN122126140A_ABST
Abstract
A battery regulation optimization method and apparatus are provided, which enable an electric vehicle to begin charging under optimal conditions upon arrival at a charging station. The battery regulation optimization method includes: a driving condition determination step, which collects driving data affecting vehicle driving conditions in real time, analyzes the collected driving data, and determines the driving conditions; a battery temperature change prediction step, which monitors the current temperature and state of the battery, predicts battery temperature changes based on the current temperature and state of the battery and information about the driving conditions provided in the driving condition determination step, and determines whether to control the battery temperature based on the predicted battery temperature change; and a battery regulation step, which cools the battery or raises the battery temperature according to the determination in the battery temperature change prediction step.
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