SYSTEM AND METHOD FOR A DYNAMICALLY CONFIGURABLE POWER DISTRIBUTION CONTROL AND MANAGEMENT SYSTEM

• US 20170170449A1
• Filed: 02/27/2017
• Published: 06/15/2017
• Est. Priority Date: 04/26/2012
• Status: Abandoned Application

• Current Assignee: Clarovia Holdings LLC
• Original Assignee: Eagle Harbor Holdings, L.L.C.
• Inventors: ALEXANDER, Kevin, BANNERMAN, Michael, BURBANK, Isaac, COPPLE, Braden, PEASE, Kyle
• Application Number:
  US15/443,924
• Publication Number:
  US 20170170449A1
• Time in Patent Office: Days
• CPC Class Codes: G01R 31/367 Software therefor, e.g. for battery testing using modelling or look-up tables
• CPC Class Codes: G01R 31/382 Arrangements for monitoring battery or accumulator variables, e.g. SoC
• CPC Class Codes: G01R 31/392 Determining battery ageing or deterioration, e.g. state of health
• CPC Class Codes: H01M 10/486 for measuring temperature
• CPC Class Codes: H01M 10/633 characterised by algorithms, flow charts, software details or the like
• CPC Class Codes: H01M 2010/4278 Systems for data transfer from batteries, e.g. transfer of battery parameters to a controller, data transferred between battery controller and main controller
• CPC Class Codes: H01M 2220/20 Batteries in motive systems, e.g. vehicle, ship, plane
• CPC Class Codes: H01M 50/581 in response to temperature
• CPC Class Codes: H02J 13/00001 characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
• CPC Class Codes: H02J 13/00004 characterised by the power network being locally controlled
• CPC Class Codes: H02J 13/00026 involving a local wireless network, e.g. Wi-Fi, ZigBee or Bluetooth
• CPC Class Codes: H02J 2310/12 The local stationary network supplying a household or a building
• CPC Class Codes: H02J 2310/48 for electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: H02J 2310/60 Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
• CPC Class Codes: H02J 3/14 by switching loads on to, or off from, network, e.g. progressively balanced loading
• CPC Class Codes: H02J 7/0013 acting upon several batteries simultaneously or sequentially H02J7/1423 takes precedence
• CPC Class Codes: H02J 7/0047 with monitoring or indicating devices or circuits
• CPC Class Codes: H02J 7/007192 in response to temperature
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02B 90/20 Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y02E 60/10 : Energy storage using batteries
• CPC Class Codes: Y02P 80/14 : District level solutions, i.e. local energy networks
• CPC Class Codes: Y02T 10/70 : Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 90/167 : Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: Y04S 20/222 : Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 30/14 : Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing
• CPC Class Codes: Y04S 40/126 : using wireless data transmission

Abstract

A dynamically configurable battery management system includes a controller system with a first processor connected to a first memory and a first wireless transceiver connected to a wireless packet network. A battery system with a second processor is connected to a second memory and a second wireless transceiver connected to the wireless packet network. One or more batteries are connected to the battery system, and the connected batteries include a battery pack. A sensor that is connected to the battery system generates a data stream that is stored in the second memory. The data stream allows for establishing a battery capability and status unique to each battery in the battery pack. The stored data stream is stored as a battery record with a universal unique identifier.

Claims

1. A system for continuously determining battery system health, comprising:

a host controller configured to continuously gathering data to determine a current state of at least one of battery system health and charge system health;

one or more batteries connected together into a battery pack, wherein the battery pack includes one or more sensors for generating the data, wherein the data includes at least one of voltage, time to charge, time to discharge, voltage, amperage, temperature, State of Charge (SOC), and State of Health (SOH);

a battery controller connected to at least one of the one or more sensors and the one or more batteries, wherein the battery controller is configured to;

collect data continuously from the one or more batteries and the one or more sensors for logging into a memory, wherein the logged data is averaged over time,

use a predetermined sable of values to determine whether any sensed properties are outside of a use range for the system, wherein the use range is at least one of equal to a predetermined average value, equal to predetermined below average value, and equal to a predetermined emergency value, wherein the emergency value initiates an emergency shutdown sequence; and

a first wireless transceiver connected to the battery controller configured to communicate the sensed values and predetermined values to a second wireless transceiver connected to the host controller.

2. The system of claim. 1, wherein at least one of the predetermined table of values and the use range is based off of historical data retrieved from the one or more batteries.

3. The system of claim 1, wherein the memory comprises non-volatile flash memory.

4. The system of claim 1, wherein the one or more batteries are rechargeable and comprise at least one of lead acid, lithium air, lithium-ion, lithium-polymer, nickel-iron, nickel-zinc, nickel-metal hydride, iron-air, zinc-air, zinc-bromine, vanadium redox, sodium-sulfur, sodium-nickel chloride, lithium-iron sulfides, nickel-cadmium, and flow battery.

5. The system of claim 1, wherein the one of more sensors include at least one of contact sensors and non-contact sensors.

6. The system of claim 5, wherein the contact sensors include at least one of voltage, amperage, and temperature.

7. The system of claim 5, wherein the non-contact sensors include at least one of inductive sensors and infrared sensors.

8. The system of claim 1, wherein when one or more of the sensed properties is outside of the use range of the system the battery controller activates a state variable control method to cause the one or more of the sensed properties to return to the use range of the system.

9. The system of claim 8, wherein the state variable control method comprises at least one of heating and cooling the one or more batteries.

10. A method for continuously determining battery system health, comprising:

configure a host controller to continuously gather data to determine a current state of battery system health and charge system health;

use one or more batteries connected together into a battery pack, wherein the battery pack includes one or more sensors for generating data, wherein the data includes at least one of voltage, time to charge, time to discharge, voltage, amperage, temperature, State of Charge (SOC), and State of Health (SOH);

connect a battery controller to at least one of the one or more sensors and one of the one or more batteries, wherein the battery controller is configured to;

collect data continuously from the one or more batteries and the one or more sensors for logging into a memory, wherein the logged data is averaged overtime,

use a predetermined table of values to determine whether any sensed properties are outside of a use range for the system, wherein the use range is at least one of equal to a predetermined average value, equal to predetermined below average value, and equal to a predetermined emergency value, wherein the emergency value initiates an emergency shutdown sequence; and

use a first wireless transceiver connected to the battery controller configured to communicate the sensed values and predetermined values to a second wireless transceiver connected to the host controller.

11. The method of claim 10, wherein at least one of the predetermined table of values and the use range is based off of historical data retrieved from the one or snore batteries.

12. The method of claim 10, wherein the memory comprises non-volatile flash memory.

13. The method of claim 10, wherein the one or more batteries are rechargeable and comprise at least one of lead acid, lithium air, lithium-ion, lithium-polymer, nickel-iron, nickel-zinc, nickel-metal hydride, iron-air, zinc-air, zinc-bromine, vanadium redox, sodium-sulfur, sodium-nickel chloride, lithium-iron sulfides, nickel-cadmium, and flow battery,

14. The method of claim 10, wherein the one of more sensors include at least one of contact sensors and non-contact sensors.

15. The method of claim 14, wherein the contact sensors include at least one of voltage, amperage, and temperature.

16. The method of claim 14, wherein the non-contact sensors include at least one of inductive sensors and infrared sensors.

17. The method of claim 10, wherein when one or more of the sensed properties is outside of the use range of the system, the battery controller activates a state variable control method to cause the one or more of the sensed properties to return to the use range of the system.

18. The method of claim 17, wherein the state variable control method comprises at least one of heating and cooling the one or more batteries.