Vehicle Battery Charging Time Correction Using Charger Big Data

The patent introduces a big data server as an intermediary between the charging controller and the estimation process. This server collects, stores, and processes historical charging data from multiple sources, then provides correction values to the charging controller. This intermediary system enables accurate charging time estimation by mediating between simple local calculations and complex external factors without requiring the vehicle's controller to perform complex computations directly.

The system implements feedback by continuously collecting actual charging time data and comparing it with estimated charging times. The big data server uses this feedback to calculate correction values that are then applied to improve future estimations. This closed-loop feedback mechanism allows the system to learn from past errors and continuously improve estimation accuracy while maintaining simple local calculation processes.

The patent divides the charging time estimation system into two distinct segments: a simple local estimation component in the vehicle's charging controller that performs fast calculations, and a remote big data server that handles complex data processing and correction value generation. This segmentation allows each component to specialize in its strength - the vehicle controller maintains simplicity and responsiveness, while the server handles the complexity of data management and analysis.

The big data server operates as a self-service system that autonomously collects charging data from multiple sources, processes the information, generates correction values, and makes them available to charging controllers. This self-service approach reduces the burden on individual vehicle controllers, allowing them to maintain simple estimation logic while still benefiting from sophisticated correction mechanisms without implementing complex data processing themselves.