Electric vehicle (ev) charging infrastructure quality predictor

Patent metadata

Field	Value
Publication number	US-2025264506-A1
Application number	US-202418581607-A
Country	US
Kind code	A1
Filing date	Feb 20, 2024
Priority date	Feb 20, 2024
Publication date	Aug 21, 2025
Grant date	—

Abstract

A predictor of a quality of an electrical installation of electrical vehicle (EV) charging infrastructure is provided. The predictor comprises a monitoring system including software instructions of a central monitoring software to identify whether an electrical circuit is about to fail by connecting to a smart meter measuring the electrical circuit (voltage, current, temp, etc.), as well as a smart EV charger with an internal meter connected to the same electrical circuit. The monitoring system is configured to use the smart meter to measure grid characteristics at a central place with metering information in the smart EV charger behind the central place to estimate the quality of the electrical installation.

First claim

What is claimed is:

1 . A predictor of a quality of an electrical installation of electrical vehicle (EV) charging infrastructure, the predictor comprising:
a monitoring system including software instructions of a central monitoring software to identify whether an electrical circuit is about to fail by connecting to one or several smart meters (primary and/or secondary meters) measuring the electrical circuit (voltage, current, temp, etc.), as well as a smart EV charger with an internal meter connected to the same electrical circuit, and wherein the monitoring system is configured to use the smart meter to measure grid characteristics at a central place with metering information in the smart EV charger behind the central place to estimate the quality of the electrical installation.

2 . The predictor of claim 1 , wherein whenever the smart EV charger is charging, the monitoring system will compare a voltage between the smart meter and the smart EV charger.

3 . The predictor of claim 2 , wherein predicting a failure by the monitoring system is going to happen based on a deteriorated resistance in the electrical circuit.

4 . The predictor of claim 3 , wherein the electrical circuit that presents a higher resistance than expected can cause overheating and damage.

5 . The predictor of claim 1 , wherein the smart meter is a voltage meter and the internal meter of the smart EV charger is a voltage meter.

6 . The predictor of claim 1 , wherein the smart meter is a meter behind the internal meter of the smart EV charger.

7 . The predictor of claim 1 , wherein a current flowing through the smart EV charger is known, and therefore a resistance of the electrical circuit between the smart meter and the smart EV charger can be calculated as R=(Vsmart meter−Vev charger)/I such that the resistance can be calculated at different current levels, and at different external ambient temperatures (measured at the smart EV charger), as well different charging session durations.

8 . The predictor of claim 1 , wherein in a first variant of the central monitoring software a cloud communicates to the smart meter and to the smart EV charger such as an EVSE and runs an algorithm.

9 . The predictor of claim 1 , wherein in a second variant of the central monitoring software a local appliance communicates to the smart meter and to the smart EV charger such as an EVSE and runs an algorithm.

10 . The predictor of claim 1 , wherein in a third variant of the central monitoring software a CPU of the smart EV charger such as an EVSE communicates with the smart meter and runs an algorithm.

11 . A method of predicting a quality of an electrical installation of electrical vehicle (EV) charging infrastructure, the method comprising:
providing a monitoring system including software instructions of a central monitoring software to identify whether an electrical circuit is about to fail by connecting to one or several smart meters (primary and/or secondary meters) measuring the electrical circuit (voltage, current, temp, etc.), as well as a smart EV charger with an internal meter connected to the same electrical circuit, and wherein the monitoring system is configured to use the smart meter to measure grid characteristics at a central place with metering information in the smart EV charger behind the central place to estimate the quality of the electrical installation.

12 . The method of claim 11 , wherein whenever the smart EV charger is charging, the monitoring system will compare a voltage between the smart meter and the smart EV charger.

13 . The method of claim 12 , wherein predicting a failure by the monitoring system is going to happen based on a deteriorated resistance in the electrical circuit.

14 . The method of claim 13 , wherein the electrical circuit that presents a higher resistance than expected can cause overheating and damage.

15 . The method of claim 11 , wherein the smart meter is a voltage meter and the internal meter of the smart EV charger is a voltage meter.

16 . The method of claim 11 , wherein the smart meter is a meter behind the internal meter of the smart EV charger.

17 . The method of claim 11 , wherein a current flowing through the smart EV charger is known, and therefore a resistance of the electrical circuit between the smart meter and the smart EV charger can be calculated as R=(Vsmart meter−Vev charger)/I such that the resistance can be calculated at different current levels, and at different external ambient temperatures (measured at the smart EV charger), as well different charging session durations.

18 . The method of claim 11 , wherein in a first variant of the central monitoring software a cloud communicates to the smart meter and to the smart EV charger such as an EVSE and runs an algorithm.

19 . The method of claim 11 , wherein in a second variant of the central monitoring software a local appliance communicates to the smart meter and to the smart EV charger such as an EVSE and runs an algorithm.

20 . The method of claim 11 , wherein in a third variant of the central monitoring software a CPU of the smart EV charger such as an EVSE communicates with the smart meter and runs an algorithm.

Assignees

• Siemens Industry Inc

Inventors

• Feldman Daniel
• Malacara Hector

Classifications

• H02J2105/37

  exchanging power with electric vehicles [EV] or with hybrid electric vehicles [HEV] · CPC title

• H02J7/80

  including monitoring or indicating arrangements · CPC title

• H04Q9/00

  Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom · CPC title

• G01R22/10

  using digital techniques · CPC title

• B60L53/68

  Off-site monitoring or control, e.g. remote control · CPC title