Battery management system and battery simulator

• US 6,016,047 A
• Filed: 11/12/1997
• Issued: 01/18/2000
• Est. Priority Date: 11/21/1996
• Status: Expired due to Fees

• Current Assignee: US Philips Corporation (Koninklijke Philips N.V.)
• Original Assignee: US Philips Corporation (Koninklijke Philips N.V.)
• Inventors: Notten, Petrus H.L., Bergveld, Hendrik J., Kruijt, Wanda S.
• Primary Examiner(s): Wong, Peter S.
• Assistant Examiner(s): LUK, LAWRENCE W
• Application Number:
  US08/968,376
• Time in Patent Office: 797 Days
• Field of Search: 320/137, 320/150-153, 320/156, 320/147
• US Class Current: 320/137
• CPC Class Codes: G01R 31/367 Software therefor, e.g. for battery testing using modelling or look-up tables
• CPC Class Codes: G01R 31/374 with means for correcting the measurement for temperature or ageing
• CPC Class Codes: G01R 31/3842 combining voltage and current measurements
• CPC Class Codes: G01R 31/389 Measuring internal impedance, internal conductance or related variables
• CPC Class Codes: H01M 10/48 Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte constructional details of current conducting connections for detecting conditions inside cells or batteries, e.g. details of voltage sensing terminals, H01M50/569
• CPC Class Codes: Y02E 60/10 Energy storage using batteries

Abstract

A battery management system 100 comprises input means 102 for receiving input signals, such as current or voltage, which represent a physical quantity of a battery. In operation, processing means 105 of the battery management system 100 calculate a physical quantity of the battery, such as the State of Charge, based on the input signals by using an electrochemical/physical model of the battery. The model includes a representation of a main electrochemical storage reaction, whose behaviour is calculated in dependence on a battery temperature. The processing means 105 calculates the battery temperature based on a temperature model of a temperature development in the battery. The battery management system 100 comprises output means 104 for outputting an output signal which is derived from a state of the electrochemical storage reaction. The battery management system 100 is, advantageously, used in a smart battery 10 or a battery charger/discharger 200. The model is, advantageously, also used in a battery simulator.

Claims

1. A battery management system comprising:

an input which receives input signals representative of a physical quantity of a battery; and

a

processor which calculates at least one physical quantity of the battery at least partially based on the input signals and a battery temperature, and generates an output signal derived from the calculated physical quantity;

calculates the physical quantity based on an electrochemical/physical model of the battery;

the model including at least one representation of a main electrochemical storage reaction;

calculates the battery temperature based on a temperature model of a temperature development in the battery and calculates the behaviour of the representation in dependence on the calculated battery temperature; and

derives the output signal at least partially from a state of the representation.

2. A battery management system as claimed in claim 1, characterised in that the battery temperature is modeled as depending on an internal heat flow generated in the battery, where the internal heat flow depends on at least one of:

an entropy change of the main electrochemical storage reaction inside the battery, a power loss through charge transfer resistance in an electrochemical reaction, and power loss through internal ohmic resistance of an electrode and/or electrolyte.

3. A battery management system as claimed in claim 1, characterised in that the input receives a signal representative of an ambient temperature and in that the battery temperature is modeled as depending on an heat flow between the battery and an environment of the battery.

4. A battery management system as claimed in claim 1, characterised in that for a battery having at least one electrode with an overdischarge reserve, the model includes a second representation for an electrochemical side reaction involving the overdischarge reserve;

and in that the processor calculates a state of the second representation in dependence on the calculated battery temperature and derives the control signal at least partially from a state of the second representation.

5. A battery management system as claimed in claim 2, characterised in that the battery temperature is modeled as depending on an entropy change of the electrochemical side reaction involving the overdischarge reserve.

6. A battery management system as claimed in claim 1, characterised in that the battery is of a sealed type;

in that the model includes a third representation for an electrochemical side reaction involving gas; and

in that the process or calculates a state of the third representation in dependence on the calculated battery temperature and derives the output signal at least partially from a state of the third representation.

7. A battery management system as claimed in claim 2, characterised in that the battery temperature is modeled as depending on an entropy change of the electrochemical side reaction involving gas.

8. A battery management system as claimed in claim 6, characterised in that the processor calculates a battery pressure based on a pressure model of a pressure development in the battery for the received input signals and calculates the behaviour of the third representation in dependence on the calculated battery pressure.

9. A battery management system as claimed in claim 1, characterised in that the model includes a fourth representation for modeling ion transport in an electrode and/or electrolyte;

and in that the processor calculates a state of the fourth representation and an influence of the fourth representation on the first and/or second representation.

10. A battery management system as claimed in claim 1, wherein the control signal controls a battery charger, characterised in that the processor controls the charging of the battery by maintaining a battery temperature substantially at a predetermined temperature curve.

11. A smart battery comprising:

a sensor which measures

at least one physical quantity of the battery;

a battery management system as claimed in claim 1, wherein the sensor is connected to the input means of the battery management system; and

an information/control device which presents information with respect to physical quantity of the battery and/or controls charging/discharging of the battery in response to the output signal of the battery management system.

12. A battery charger/discharger comprising:

a sensor which measures at lest one physical quantity of a battery;

a battery management system as claimed in claim 1, wherein the sensor is connected to the input of the battery management system; and

a controller which controls charging and/or discharging of the battery in response to the output signal of the battery management system.

13. A battery simulator comprising:

an input for receiving an input value of at least one parameter representative of a physical quantity of a battery; and

a processor which calculates at least one characteristic of a physical quantity of the battery at least partially based on the input value and a battery temperature, and which generates an output characteristic derived from the calculated characteristic of the physical quantity;

characterised in that the processor

calculates the battery temperature based on a temperature model of a temperature development in the battery;

calculates the characteristic of the physical quantity based on an electrochemical/physical model of the battery;

the model including at least one representation of a main electrochemical storage reaction, whose behaviour depends on the calculated battery temperature; and

derives the output characteristic at least partially from a state of the representation of the main electrochemical storage reaction.

14. A method for simulating a behaviour of a battery;

the method comprising;

receiving an input value of at least one parameter representative of a physical quantity of the battery;

calculating at least one characteristic of a physical quantity of the battery at least partially based on the input value and a battery temperature;

generating an output characteristic derived from the calculated characteristic of the physical quantity;

characterised in that the method comprises;

calculating the battery temperature based on a temperature model of a temperature development in the battery;

calculating the characteristic of the physical quantity based on an electrochemical/physical model of the battery;

the model including at least one representation of a main electrochemical storage reaction whose behaviour depends on the calculated battery temperature; and

deriving the output characteristic at least partially from a state of the representation of the main electrochemical storage reaction.

15. A method for producing a battery, comprising:

simulating a characteristic of the battery, by

iteratively;

selecting a value for at least one parameter representative of a physical quantity of the battery;

calculating at least one characteristic of a physical quantity of the battery at least partially based on the parameter value and a battery temperature, by;

calculating the battery temperature based on a temperature model of a temperature development in the battery; and

calculating the characteristic of the physical quantity of the battery based on an electrochemical/physical model of the battery;

the model including at least one representation of a main electrochemical storage reaction whose behaviour depends on the calculated battery temperature;

the calculated characteristic at least partially being derived from a state of the representation of the main electrochemical storage reaction;

until the calculated characteristic meets a predetermined criterion; and

producing the battery from battery materials by selecting and/or adapting a chemical composition and/or physical characteristic of the battery materials according to the parameters values last selected in the iteration.