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案件記録

DYNAMIC ENERGY MANAGEMNT FOR EV CHARGING WITH REAL-TIME ALLOCATION USING PREDICTIVE CONTROL AND COORDINATION OF FACILITY ENERGY DEMANDS INCLUDING HVAC SYSTEMS

発明審査中
2閲覧数
21請求項 · 2 独立
§ Ⅰ

案件概要

発明者

Carter LI; Seyed Javad FATTAHI; Jing GUO; Cedric TAI

IPC分類

B60L 53/63B60L 53/67B60L 53/68B60L 55/F24F 11/63

CPC分類

B60L53/63B60L53/67B60L53/68B60L55/F24F11/63B60L2250/16

Example embodiments are directed to a building management system tailored for structures equipped with a network of electric vehicle (EV) chargers. The system integrates various components, including a host interface, HVAC systems with heat pumps and variable frequency drives (VFDs), a network of EV chargers featuring bi-directional charging capabilities, and a building management platform. Load-balancing software within panel metering devices ensures efficient energy distribution to the EV charging units. An artificial intelligence (AI) algorithm optimizes charging schedules based on historical usage data, minimizing energy consumption during peak hours. The system dynamically adjusts power allocation to EV chargers based on HVAC system demand, promoting efficient energy utilization. Real-time monitoring and analysis capabilities enhance energy management, with alerts notifying building managers of potential anomalies.

原文(中国語)

Example embodiments are directed to a building management system tailored for structures equipped with a network of electric vehicle (EV) chargers. The system integrates various components, including a host interface, HVAC systems with heat pumps and variable frequency drives (VFDs), a network of EV chargers featuring bi-directional charging capabilities, and a building management platform. Load-balancing software within panel metering devices ensures efficient energy distribution to the EV charging units. An artificial intelligence (AI) algorithm optimizes charging schedules based on historical usage data, minimizing energy consumption during peak hours. The system dynamically adjusts power allocation to EV chargers based on HVAC system demand, promoting efficient energy utilization. Real-time monitoring and analysis capabilities enhance energy management, with alerts notifying building managers of potential anomalies.

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