Converging algorithm for real-time battery prediction

• US 20130030738A1
• Filed: 01/19/2012
• Published: 01/31/2013
• Est. Priority Date: 01/19/2011
• Status: Abandoned Application

• Current Assignee: Sendyne Corp. (Sensata Technologies Holding Plc)
• Original Assignee: Sendyne Corp. (Sensata Technologies Holding Plc)
• Inventors: Milios, Ioannis
• Application Number:
  US13/635,427
• Publication Number:
  US 20130030738A1
• Time in Patent Office: Days
• US Class Current: 702/63
• CPC Class Codes: G01R 31/367 Software therefor, e.g. for battery testing using modelling or look-up tables
• CPC Class Codes: G01R 31/392 Determining battery ageing or deterioration, e.g. state of health

Abstract

A method predicts the battery state in “real-time”, which is based on a nodal algorithmic model. Under this method, the battery is modeled as a network mesh of both linear and non-linear electrical branch elements. Those branch elements are inter-connected through a set of nodes. Each node can have several branches either originating or ending into it. The branch elements may represent loosely some particular function or region of the battery or they may serve a pure algorithmic function. The non-linear behavior of the elements may be described either algorithmically or through lookup tables. Kirchhoff'"'"'s laws are applied on each node to describe the relationships between currents and voltages. The system may be connected with a battery so that it can receive measured values at the battery, and the system yields state-of-charge, state-of-health, and state-of- function signals.

Claims

1. A method for use with a battery, the method comprising the steps of:

in a battery simulator, defining at least one first node representing a measurable physical value of the battery;

in the battery simulator, defining at least one second node representing a quality of the battery that is desired to be predicted;

in the battery simulator, defining at least one third node;

in the battery simulator, defining at least first and second branch elements, the first branch element connected in the battery simulator to the at least one first node, the first branch element connected in the battery simulator to the at least one second node, the first branch element connected in the battery simulator to the at least one third node, the second branch element connected in the battery simulator to the at least one first node, the second branch element connected in the battery simulator to the at least one second node, the second branch element connected in the battery simulator to the at least one third node;

at least one of the first and second branch elements having at least one output thereof responding non-linearly to at least one input thereof, the output and the input each connected in the battery simulator to a respective node;

the method further comprising communicating information indicative of the quality of the battery that is desired to be predicted to a destination external to the battery.

2. The method of claim 1 wherein the at least one first node representing a measurable physical value of the battery comprises a node representing battery voltage and a node potential represents a value of current.

3. The method of claim 2 wherein the at least one first node representing a measurable physical value of the battery further comprises a node representing battery temperature.

4. The method of claim 1 wherein the at least one second node representing a quality of the battery that is desired to be predicted comprises a node representing one of the set comprising state of charge of the battery, state of health of the battery, and state of function of the battery.

5. The method of claim 1 wherein the battery simulator comprises electronic circuitry.

6. The method of claim 1 wherein the battery simulator comprises a digital computer running SPICE.

7. The method of claim 1 further comprising the steps of:

sampling real-world battery values at a particular time;

using the sampled real-world values as inputs to the at least one first node;

carrying out a circuit simulation with respect to the inputs to the at least one first node, thereby arriving at a prediction of real-world battery values at a later time than the particular time; and

comparing the predicted real-world battery values at the later time with the actual real-world values at the later time, thereby arriving at an estimate of the quality of the prediction.

8. A system comprising:

a battery;

a temperature sensor at said battery yielding a temperature signal;

a current sensor at said battery yielding a current signal;

a battery manager receiving the temperature signal and the current signal and measuring a voltage across the battery, the battery manager comprising a battery simulator;

the battery simulator defining at least one first node representing a measurable physical value of the battery;

the battery simulator defining at least one second node representing a quality of the battery that is desired to be predicted;

the battery simulator defining at least one third node;

the battery simulator further defining at least first and second branch elements, the first branch element connected in the battery simulator to the at least one first node, the first branch element connected in the battery simulator to the at least one second node, the first branch element connected in the battery simulator to the at least one third node, the second branch element connected in the battery simulator to the at least one first node, the second branch element connected in the battery simulator to the at least one second node, the second branch element connected in the battery simulator to the at least one third node,

at least one of the first and second branch elements having at least one output thereof responding non-linearly to at least one input thereof, the output and the input each connected in the battery simulator to a respective node;

the battery manager having a communications channel communicating information indicative of the quality of the battery that is desired to be predicted to a destination external to the battery manager.

9. The system of claim 8 wherein the battery and the battery manager are contained within a housing, the housing having first and second terminals permitting connection of the battery to circuitry external to the housing, the housing further providing the communications channel external to the housing.

10. The system of claim 8 wherein the battery simulator comprises electronic circuitry effecting the first and second branch elements and effecting the at least first and second and third nodes.

11. The system of claim 8 further comprising a nonvolatile memory, wherein the battery and the nonvolatile memory are contained within a housing, the housing having first and second terminals permitting connection of the battery to circuitry external to the housing, the battery manager communicatively coupled with the nonvolatile memory, the battery manager storing battery-specific information in the nonvolatile memory.