Method for estimating the current and the state of charge of a battery pack or cell, without direct detection of current under operating conditions

Patent metadata

Field	Value
Publication number	US-10649035-B2
Application number	US-201815985926-A
Country	US
Kind code	B2
Filing date	May 22, 2018
Priority date	May 29, 2017
Publication date	May 12, 2020
Grant date	May 12, 2020

Abstract

A method for estimating an operating current I dispensed by a battery pack or cell including the steps of acquiring characterization data of the battery pack or cell, related to measured time trends of a voltage Vm and of a characterization current Im of the battery pack or cell, associated with a respective characterization temperature value T k ; and then processing the characterization data to determine a plurality of parameters P of a model of the battery pack or cell, as a function of temperature and state of charge SOC. Measuring an operating voltage V of the battery pack or cell and an operating temperature T and for estimating the operating current I of the battery pack or cell. A plurality of time observation windows W i is identified and characterization voltage Vm i values are detected. Then, at each observation window W i , the following actions are performed: calculating a value of the state of charge SOC i of the battery pack or cell; calculating an estimated voltage V ABi , by means of the model of the battery pack or cell, as a function of respective nominal values of the parameters P; determining a respective error function E i dependent on the difference between the estimated voltage V ABi and the characterization voltage Vm i of the time observation window W i ; calculating an actual value P i for each parameter P, by minimizing the aforesaid error function E i .

First claim

The invention claimed is:

1. A method for estimating an operating current (I) dispensed by a battery pack or cell, comprising the steps of:
acquiring characterization data of the battery pack or cell, related to measured time trends of a characterization voltage (Vm) and of a characterization current (Im) of the battery pack or cell, each time trend being associated with a respective value of a plurality of characterization temperature values (T k );
processing said characterization data to determine a plurality of parameters (P) of an operating model of the battery pack or cell, as a function of temperature and state of charge (SOC) of the battery pack or cell;
while the battery pack or cell is under operating conditions, measuring an operating voltage (V) of the battery pack or cell and an operating temperature (T);
estimating the operating current (I) of the battery pack or cell, by using said operating model, based on the measured operating voltage (V), on the measured operating temperature (T) and on said plurality of parameters (P);
wherein the processing step comprises the following stages, performed for each value of said plurality of characterization temperature values (T k ):
identifying a plurality of time observation windows (W i ) along the respective time trends of the characterization voltage (Vm) and of the characterization current (Im), associated with the characterization temperature (T k ), and detecting the respective characterization current (Im i ) and characterization voltage (Vm i ) values;
at each observation window (W i ), calculating a respective value of the state of charge (SOC i ) of the battery pack or cell;
at each observation window (W i ), calculating a respective estimated voltage (V ABi ), by using the operating model of the battery pack or cell, as a function of respective nominal values of the parameters (P), and determining a respective error function (E i ) dependent on the difference between the estimated voltage (V ABi ) and the characterization voltage (Vm i ) of the time observation window (W i );
at each observation window (W i ), calculating an actual value (P i ) for each of the plurality of parameters (P) of the model of the battery pack or cell, by minimizing said error function (E i );
associating the actual values (P i ) of the parameters calculated at the observation windows (W i ) with the respective state of charge (SOC i ) and characterization temperature (T k ), to obtain said plurality of parameters (P) as a function of temperature and state of charge of the battery pack or cell;
defining a thermal model of the battery pack or cell;
in at least one measurement time interval, estimating the dissipated electric power (P e ) using the operating model of the battery pack or cell, based on the values, measured in said interval, of the voltage (V) and temperature (T e ) of the battery pack or battery cell, and based on the parameters (P) corresponding to said temperature (T e ) of the battery pack or battery cell;
at the same at least one measurement time interval, estimating the dissipated thermal power (P d ) using the thermal model of the battery pack or cell, based on said temperature value (T c ) of the battery pack or battery cell and based on an ambient temperature value (T e ), both temperature values being measured in said interval, and based on the parameters (P) corresponding to said temperature (T e ) of the battery pack or battery cell;
determining a difference (ΔP) between the dissipated electric power (P e ) and the dissipated thermal power (P d ) estimated; and
correcting the parameters (P) according to said estimated difference (ΔP), so as to obtain corrected values of the parameters (P) which take into account degradation and/or aging phenomena.

2. The method as set forth in claim 1 , wherein the operating model of the battery pack or cell is an electric circuit model and the model parameters comprise electric circuit parameters.

3. The method as set forth in claim 2 , wherein the processing step further comprises:
determining a respective no-load voltage (Voc i ) value of the battery pack or cell, at each observation window (W i );
defining a relationship between no-load voltage (Voc) and state of charge (SOC) of the battery pack or cell, based on the plurality of no-load voltages (Voc i ) and state of charge (SOC i ) values obtained at the observation windows (W i );
and wherein, in each observation window (W i ), the step of calculating the actual value (P i ) of the parameters also takes into account the respective no-load voltage (Voc i ) value and said relationship between no-load voltage (Voc) and state of charge (SOC) of the battery pack or cell.

4. The method as set forth in claim 3 , wherein the step of identifying a plurality of observation windows (W i ) comprises identifying time windows where the characterization current (Im) is zero, upon the exhaustion of transient phenomena, and where, consequently, the no-load voltage (Voc i ) corresponds to the characterization voltage (Vm i ).

5. The method as set forth in claim 1 , wherein the step of calculating a respective value of the state of charge (SOC i ) of the battery pack or cell comprises:
calculating the respective value of the state of charge (SOC i ) of the battery pack or cell based on the time trend of the characterization current.

6. The method as set forth in claim 2 , wherein the electric circuit model of the battery pack or cell comprises a no-load voltage (Voc) generator and the series of a battery or cell internal resistance (R 0 ) and one or more circuit groups, each comprising the parallel of a respective circuit group resistance and a respective circuit group capacity,
and wherein the group of circuit parameters P comprises no-load voltage (Voc), battery or cell internal resistance (R 0 ), one or more circuit group resistances (R 1 , R 2 ), and one or more circuit group capacities (C 1 , C 2 ).

7. The method as set forth in claim 6 , wherein the electric circuit model of the battery pack or cell comprises two circuit groups, and wherein the group of circuit parameters P comprises a first circuit group resistance (R 1 ), a first circuit group capacity (C 1 ), a second circuit group resistance (R 2 ), a second circuit group capacity (C 2 ).

8. The method as set forth in claim 1 , wherein the operating model of the battery pack or cell comprises a trained predictive algorithm, and the parameters (P) are parameters of the trained predictive algorithm,
and wherein the step of determining the plurality of parameters (P) comprises training the predictive algorithm according to the acquired battery pack or cell characterization data.

9. The method as set forth in claim 1 , wherein the step of acquiring characterization data of the battery pack or cell comprises:
measuring, before using the battery pack or cell under operating conditions, the time trends of the characterization voltage (Vm) and of the characterization current (Im) of the battery pack or cell, at the respective characterization temperature (T k ) value,
or
acquiring characterization data from characterization procedures performed prior to the use under operating conditions of the battery pack or cell.

10. The method as set forth in claim 1 , wherein the processing step further comprises:
storing, on electronic storage medium accessible to the battery pack or cell under operating conditions, the parameters (P) of the operating model of the battery pack or cell as look-up tables adapted to receive, as input, temperature and state of charge values, and to provide the respective values of parameters (P).

11. The method as set forth in claim 10 , wherein the step of estimat

Assignees

• Magneti Marelli Spa

Inventors

• Suglia Rosanna
• Pritelli Danilo
• Aurilio Gianluca

Classifications

• G01R31/392

  Determining battery ageing or deterioration, e.g. state of health · CPC title

• G01R31/389

  Measuring internal impedance, internal conductance or related variables · CPC title

• G01R31/3835

  involving only voltage measurements · CPC title

• G01R31/374

  with means for correcting the measurement for temperature or ageing · CPC title

• H02J7/0047

  Electricity · mapped topic