Systeme und Verfahren zur Verwendung einer Entscheidungsmaschine der Künstlichen Intelligenz zur Verlängerung der Lebensdauer von Batterien

Details

Veröffentlichungs-Nr.

EP4714732

Anmeldetag

22. September 2025

Veröffentlichung

25. März 2026

Rechtsraum

EP

IPC

B60L58/16, B60L3/12, B60L58/13

Abstract

In one aspect, a computer-implemented method, including executing a categorization model configured to categorize, into categories, vehicles based on factors comprising age, temperature conditions, usage patterns, battery health metrics, or some combination thereof, executing a behavior analysis model configured to analyze behavior of the vehicles in each of the categories to identify battery performance metrics including charging habits, discharge rates, charge rates, state of charge, state of health, state of power, or some combination thereof, executing a recommendation generation model configured to generate, based on the battery performance metrics, recommendations for enhancing battery management strategies, wherein the recommendation generation model accounts for a current state of a vehicle to suggest actions to improve battery health; and executing a battery model configured to determine power and energy consumption based on the recommendations generated by the recommendation generation model.

Anmelder

Firma

Eatron Technologies Limited

Land

🇬🇧 Großbritannien

Fachgebiete