US 12,224,592 B2
Methods and systems for green energy charging of electrical vehicles
Sundara Raju Giridhar Bangalore, Mumbai (IN); and Rajagopalan Krishnamurthy, Cupertino, CA (US)
Assigned to Hygge Energy Inc., Toronto (CA)
Filed by Hygge Energy Inc., Cupertino, CA (US)
Filed on Jul. 13, 2023, as Appl. No. 18/351,533.
Application 18/351,533 is a continuation of application No. 17/085,414, filed on Oct. 30, 2020, granted, now 11,742,668.
Prior Publication US 2023/0361573 A1, Nov. 9, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H02J 3/38 (2006.01); B60L 53/51 (2019.01); B60L 53/53 (2019.01); B60L 53/64 (2019.01); B60L 53/66 (2019.01); B60L 53/80 (2019.01); B60L 55/00 (2019.01); B60L 58/12 (2019.01); H02J 3/32 (2006.01); H04L 67/12 (2022.01)
CPC H02J 3/381 (2013.01) [B60L 53/51 (2019.02); B60L 53/53 (2019.02); B60L 53/64 (2019.02); B60L 53/665 (2019.02); B60L 53/80 (2019.02); B60L 55/00 (2019.02); B60L 58/12 (2019.02); H02J 3/322 (2020.01); H04L 67/12 (2013.01); B60L 2240/72 (2013.01); B60L 2240/80 (2013.01); B60L 2260/54 (2013.01); H02J 2300/22 (2020.01)] 18 Claims
OG exemplary drawing
 
1. A microgrid system comprising a microgrid controller;
wherein the microgrid controller is configured to receive a plurality of input energy sources comprising: a grid source; a battery; and one or more renewable energy sources;
wherein the microgrid controller is configured to direct output power from the grid source, and the one or more renewable energy sources to: the battery for charging the battery;
wherein the microgrid controller is configured to direct power to an EV charging service by a blend of the one or more renewable energy sources, the battery, the grid source; and
wherein the microgrid controller includes a dynamic storage module configured to determine when and from which of the plurality of input energy sources is used to power the EV charging service, using as input: an EV predictor module based on EV charging load patterns, and historical EV arrival patterns to consume energy from a cheapest source possible of the plurality of input energy sources; and
wherein the dynamic storage module also uses as input:
a renewable source of energy predictor module based on one or more of a location-based historical model, local weather prediction, short-term historical production data, historical geographic records, local climatic conditions, seasonal adjustments, and site specific performance history;
a system behavior module based on one or more of a historical effectiveness of storage at a given site for a given system sizing; site load patterns; and EV charging load patterns; and
a cost function module providing values representing a time-based cost of buying electricity and of selling, storage and retrieval for the input energy sources.