THEIR USE

DESCRIPTION

Technical Field

A present disclosure reveals a novel method for experimental determination of battery parameters and their use for SOE ( State of Energy) , SOC ( State od Charge ) and SOH ( State of Health ) calculations , for the given battery . The present disclosure also discusses the subsequent use of the mentioned values in everyday battery applications . Therefore , the technical field of the present disclosure can be regarded as arrangement for testing electrical properties , more particularly, for testing , measuring, or monitoring the electrical conditions of accumulators or electric batteries , with the use of hardware and software .

Technical Problem

Advances in the power electronics that convert DC power to AC have helped make battery storage systems increasingly reliable . Recent breakthroughs in advanced battery energy storage have shown the ability to deliver 5 , 000 to 10 , 000 charge/discharge cycles , or more . Advanced battery systems that trim daily peaks , requiring at least 365 cycles per year, could last more than 10 years and perhaps up to 30 years . In addition, there is a growing need for advanced batteries to store wind energy produced primarily during off-peak hours , and solar energy produced during shoulder hours , for subsequent on-peak consumption . These renewable applications will require 200 to 300 cycles per year . Also , when the renewables are not available , the battery could be used for arbitrage , buying low-cost energy at night and selling it during periods of high energy price , adding another 100 to 200 cycles per year . For all of the above said reasons , the determination of battery parameters is a must for a reliable usage once installed as a part of a power grid.

The main technical problem solved with the present disclosure is a method for experimental determination of battery one-way efficiencies for a given environmental temperature T ^E , where the term "one-way efficiency" refers to charging or discharging battery efficiency only. The disclosed method is equally well applied to battery cycling protocol when subjected to the constant current (CC) or the constant power (CP) mode. It seems that such approach for the CC mode and the CP mode was never reported before in the technical field, in the form as hereby described.

The calculated one-way efficiencies in CC mode are subsequently used for determination of state-of-charge SOC vector and calculated one- way efficiencies in CP mode are used for determination of state of energy SOE vectors respectively. Furthermore, SOC or SOE vectors are used for determination of state-of-health SOH for the given battery, through the change of the determined battery charge capacity C ^I or determined battery energy capacity C ^E in time .

State of the Art

For numerous reasons, even historical one, the SOC vector or values are more used in the battery management than the SOE vector. Perhaps, SOE vector was first reported and defined in reference 1) , in a coherent manner:

1) Mamadou, K. , Lemaire, E. , Delaille, A. , Riu, D., Hing, S. E. , & Bultel, Y. (2012) . Definition of a State-of-Energy Indicator (SoE) for Electrochemical Storage Devices: Application for Energetic Availability Forecasting. Journal of the Electrochemical Society, 159(8) , A1298-A1307. doi : 10.1149/2.075208jes References 2) and 3) use more or less the same technique for the SOE vector determination:

2) PCT patent application published as WO2011/000872A1 for the invention METHOD FOR CALIBRATING AN ELECTROCHEMICAL BATTERY, invented by Mamadou, K. et al., subsequently granted as the European patent EP2449392B1 and the US patent US 9,075,117.

3) PCT patent application published as WO2013/175005A1 for the invention DEVICE AND METHOD FOR DETERMINING A POWER STATUS ACCORDING TO DATA FROM THE PROCESSING METHOD, invented by Fernandez E. et al. , subsequently granted as the European patent EP2856187B1.

Reference 4) recognises the importance of one-way efficiency of charging and discharging, providing the battery system management based on the obtained SOC vector associated with its time derivative via a non-linear model.

4) PCT patent application published as WO2018/084939A1 for the invention BATTERY SYSTEM MANAGEMENT THROUGH NON-LINEAR ESTIMATION OF BATTERY STATE OF CHARGE, invented by J. A. CRAWFORD et al., subsequently granted as several US patents.

Furthermore, reference 4) discusses the usage of the calculated model in balancing the power grid.

Summary of the Invention

The present disclosure reveals a novel method for experimental determination of battery parameters and their use. More particularly, the method for experimental determination of battery one-way efficiencies for a given environmental temperature T ^E is disclosed, where the said method comprises the following steps : A . executing a battery cycling protocol where charging and discharging are performed with an external source/sink, and where the said protocol is selected from the constant current ( CC ) or the constant power ( CP ) mode ; where at least two C charging C-rates and at least two D discharging C-rates are selected for the CC mode , or where at least two C charging P-rates and at least two D discharging P-rates are selected for the CP mode , where the selected set of all Ω ^C = {c _1; c ₂ ,..., c _C } and Ω ^D = {d ₁ , d ₂ , ... , d _D } values forms C × D charge-discharge cycles for all possible {c, d} pairs of values , and where the above cycling is repeated J times resulting in total of C ×D ×J charge-discharge cycles , with the provision that :

( i ) each cycle is always started with depleted battery,

( ii ) each charging in the CC mode or the CP mode is terminated as soon as the declared battery high voltage limit is reached,

( iii ) each discharging in the CC mode or the CP mode is terminated as soon as the declared battery low voltage limit is reached,

B . determination of multiple roundtrip battery efficiencies for C × D different pairs of charging and discharging C-rates or P- rates defined in step A, where for every performed cycle the said roundtrip efficiency per cycle , for selected c , d and j , is calculated : in case of the selected CC mode , from the extracted charge and the inj ected charge into the said battery : where the said charges and are obtained by numerical integration of the time-dependant charging current and the discharging current ^: where the said currents and are logged during every cycle , or in case of the selected CP mode , from the extracted energy and the inj ected energy into the said battery : where the said energies and are obtained by numerical integration of the time-dependant charging power and the discharging power : where the said powers and are logged during every cycle , and where the obtained roundtrip efficiencies per cycle are averaged by the number of repetitions J from step A, yielding the roundtrip battery efficiencies for selected C and D values to read : C . determination of one-way efficiencies from the calculated roundtrip battery efficiencies m step B, where and denote one-way charging and discharging efficiencies , respectively, by solving the nonlinear optimisation problem which contains C + D unknowns and C × D equations : subjected to the following constrains : wherein s _c,d is a slack variable , and where the solution of the above said optimisation problem gives and multiplication of which diverges from the measured efficiency the least for every selected {c, d} pair of values .

From the above , it is rather straightforward to calculate one-way efficiency characteristics for the CC mode and the CP mode , as shown in the detailed description .

In the first embodiment , the cited method for modelling battery one- way efficiency characteristics in the CC mode is used for determination of the state-of-charge SOC vector . In one variant , the cited method is used for experimental determination of battery charge capacity C ^I . In yet another variant , said one-way efficiency characteristics are used for determination of the state-of-health SOH parameter expressed in percentage 0 -100% , via the change of battery charge capacity C ^I in time . In the second embodiment , the cited method for modelling battery one- way efficiency characteristics in the CP mode is used for determination of the state-of-energy SOE vector . In one variant , the cited method is used for experimental determination of battery energy capacity C ^E . In yet another variant , said one-way efficiency characteristics are used for determination of the state-of-health SOH parameter expressed in percentage 0 -100% , via the change of battery energy capacity C ^E in time .

Description of Figures

The disclosed method is depicted in Figures 1A, IB, 2A and 2B .

Figure 1A shows charging one-way efficiencies , measured and calculated in three points ( C = 3 ) , for the given environmental temperature T ^E vs . gross current (power ) taken from an external source i ^ch (p ^ch ) , corresponding to the selected charging C-rate ( P-rate ) , denoted as a set of values in Figure 2A.

Figure IB shows discharging one-way efficiencies , measured and calculated in three points (D = 3 ) , for the given environmental temperature T ^E vs . net current (power ) delivered to an external sink i ^dis (p ^dis ) , corresponding to the selected discharging C-rate ( P-rate ) , denoted as a set of values in Figure 2B .

Figure 2A represents a piecewise linear efficiency charging characteristic η ^C , obtained via interpolation and extrapolation from input measured data and recalculated according to the proposed model . The η ^C function connects and values , where values denote which represents the net current (power ) injected in the battery during charging, to read .

Similarly, Figure 2B represents a piecewise linear efficiency discharging characteristic η ^D , obtained via interpolation or extrapolation from input measured data and recalculated according to the proposed model . The η ^D function connects and values , where values denote which represents a gross current (power ) extracted from the battery during discharging , to read .

Detailed Description

A present disclosure , as mentioned before , reveals a novel method for experimental determination of battery parameters and their use for SOE ( State of Energy) , SOC ( State od Charge ) and SOH ( State of Health) calculations for the given battery .

It is well-known in the art that the battery characteristics strongly depend on environmental temperature T ^E . So , the present disclosure reveals the method executed at given environmental temperature T ^E which can be straightforwardly broaden to a temperature-dependent model by a person skilled in the art . The experimental determination of battery parameters consists of the steps described below .

Step A

In step A, it is necessary to execute a battery cycling protocol by performing experimental measurements . Battery cycling protocol is a protocol where charging and discharging are performed with an external source/sink . In the field, it is common to select either the constant current (CC ) cycling mode or the constant power (CP ) cycling mode . To perform the experimentation, the following equipment were used :

( i ) Professional bi-directional DC power supply Itech IT-M3413 , coupled with a proprietary NI LabVIEW software for control and supervision of battery experiments . Characteristics of the bi- directional DC power supply are as follows :

Output DC Voltage : from 0 to 150 V

Setup Resolution : 1 mV

Accuracy : < 0.1 · U _max

Output DC Current : from -12 A to 12 A - Setup Resolution: 1 mA

^— Accuracy : < 0.1 · l _max + 0.1% · I _current - Output Power: from -200 W to 200 W - Setup Resolution: 0.1 W - Accuracy: < 0.1 · P _max

( ii ) Commercial battery cells: - NMC ( lithium-nickel-manganese-cobalt-oxide ) 18650 - Declared nominal capacity: 3000 mAh - Declared nominal voltage: 3.6V - LFP ( lithium-iron-phosphate ) 18650 - Declared nominal capacity: 1500 mAh - Declared nominal voltage: 3.2V - LCO ( lithium-cobalt-oxide ) 18650 - Declared nominal capacity: 3200 mAh - Declared nominal voltage: 3.75V - LTO (lithium-titanate) 18650 - Declared nominal capacity: 1300 mAh - Declared nominal voltage: 2.75V.

The afore said equipment were used in the manner that is obvious for a person skilled in the art.

For the proper execution, at least two C charging C-rates and at least two D discharging C-rates are selected for the CC mode. Each selected C-rate denotes the measure of the rate at which a battery charges or discharges under constant current relative to its declared charge capacity, usually expressed in Ampere hours, i.e., Ah units. Similarly, at least two C charging P-rates and at least two D discharging P-rates are selected for the CP mode . Hereby, each selected P-rate denotes the measure of the rate at which a battery charges or discharges under constant power relative to its declared energy capacity, usually expressed in Watt hours, i.e., Wh units. The selected set of all Ω ^C = {c _1; c ₂ , c _C } and Ω ^D = {d ₁ , d ₂ ,..., d _D } values forms C ×D charge-discharge cycles for all possible {c, d} pairs of values. For increasing the model' s accuracy, the above cycling is repeated J times resulting in total of C×D×J charge-discharge cycles. It is desirable for J to be greater than 1 for improving accuracy, but the model can be run even for J = 1. Each cycle should fulfil the following conditions (i)-(iii) set below:

(i) each cycle is always started with a depleted battery, where depleted means that a non-depleted battery is discharged until the battery' s low voltage limit has been reached with the provision that the discharging battery C-rate or P-rate is equal to the cycle's discharging C-rate or P-rate in step (iii) , which will ensure the same starting and finishing point of the cycle in terms of currents and voltages,

(ii) each charging in the CC mode or the CP mode is terminated as soon as the declared battery high voltage limit is reached, and

(iii) each discharging in CC mode or CP mode is terminated as soon as the declared battery low voltage limit is reached.

The mentioned battery low/high voltage limits are usually declared by the manufacturer or by the used battery management system which protects the battery from an irreversible damage.

Possibly simpler and less time consuming, but also less accurate variation of the above conditions (i) -(iii) is to relax the cycle's starting point stated in (i) , so that the battery is discharged to its low voltage limit with any C-rate or P-rate. This means that the starting and finishing point of the cycle (ii)-(iii) will not be exactly the same in terms of measured currents and voltages, however depending on the desired application, subsequent results may still be sufficiently accurate. The above stated cycling conditions (i)-(iii) are intended for charging/discharging between the battery voltage limits, which corresponds to the widest possible SOC range in which CC or CP mode can be maintained. However, it is also possible to cycle the battery in some arbitrary, narrower SOC range, provided that SOC is determined accurately and consistently, and that each charging/discharging cycle is performed over the same SOC range while maintaining either CC or CP mode during the entire cycle.

Step B

It is known in the art that the electrochemistry of the batteries is rather complex. During battery charging or discharging, a part of the energy is converted into the pure Joule heat and a part is lost in the electrochemical processes as well, as described in reference 5)

5) Gatta, F. M. , Geri, A., Lauria, S. , Maccioni, M., & Palone, F. (2015) . Battery energy storage efficiency calculation including auxiliary losses: Technology comparison and operating strategies. 2015 IEEE Eindhoven PowerTech. doi : 10.1109/ptc.2015.7232464

According to the proposed method, the determination of multiple roundtrip battery efficiencies , for C × D different pairs of charging and discharging C-rates or P-rates defined in step A, should be performed. For every performed cycle, the roundtrip efficiency per cycle , for selected c, d and j, is calculated as described below.

In case of the selected CC mode, from the extracted charge and the injected charge into the said battery, the roundtrip efficiency per cycle is calculated according to the formula: The said charges and are obtained by numerical integration of the time-dependant charging current and the discharging current

It should be noted that the currents and are logged by an external device or by an appropriate converter itself during every cycle .

Similarly, in case of the selected CP mode , from the extracted energy and the inj ected energy into the said battery, the roundtrip efficiency per cycle is calculated according to the formula :

The said energies and are obtained by numerical integration of the time-dependant charging power and the discharging power :

It should be noted that the powers and are logged by an external device or by an appropriate converter itself during every cycle .

Once the obtained roundtrip efficiencies per cycle are obtained in the desired mode , i . e . , CC or CP mode , it is natural to be averaged for the same repetitive runs . The measured and calculated roundtrip efficiencies per cycle ^are averaged over the number of repetitions J from step A, yielding the roundtrip battery efficiencies for selected C and D values to read :

The roundtrip battery efficiencies are the values that reflect historical efficiency for battery cycling data, i . e . , for particular {c, d} pairs of values . This value is not of particular use because the charging and discharging data are incorporated therein .

Step C

The inventive part of this disclosure is calculation of the one-way battery efficiencies , one-way charging efficiencies and one-way discharging efficiencies from the set of roundtrip battery efficiencies measured and calculated in step B .

The problem leads to the nonlinear optimisation problem which contains C + D unknowns and C × D equations : subjected to the following constrains : wherein s _c,d is a slack variable . The solution of the above said optimisation problem gives and multiplication of which diverges from the measured efficiency the least - for every selected {c, d} pair of values . It is important to note that the following assumption is used : .

Once the one-way charging efficiencies and one-way discharging efficiencies for all measured / selected {c, d} pairs are known, the battery is fully mapped and the results are ready to be used for everyday battery operation . Figure 1A shows charging one-way efficiencies , measured and calculated in three points , for the given environmental temperature T ^E vs . gross current (power ) taken from the external source i ^ch (p ^ch ) corresponding to the selected charging C-rate ( P-rate ) . Figure IB shows discharging one-way efficiencies , measured and calculated in three points , for the given environmental temperature T ^E vs . net current (power ) delivered to the external sink i ^dis (p ^dis ) corresponding to the selected discharging C-rate ( P-rate ) .

The applications of the one-way efficiencies and are discussed in the following examples .

Example 1 - determination of state-of-charge SOC vector

If the battery cycling was performed in the CC mode , the obtained one- way efficiencies and can be used to determine the state-of- charge SOC vector . The procedure is explained in more detail below .

Previously calculated charging and discharging efficiencies in step C for the given battery are used for defining piecewise linear efficiency characteristics η ^C and η ^D for the range of battery' s operational charging/discharging C-rates .

The said efficiency characteristics are defined as : where î ^ch is a net current injected in the battery during charging and it is function of the gross current taken from the external source i ^ch , while gross current extracted from the battery during discharging î ^dis is a function of the net current delivered to the external sink i ^dis .

The functions η ^C and η ^D are obtained as interpolations or extrapolations performed for the measured currents i ^ch , i ^dis values in respect to the known currents used in battery cycling in step A . Although many different methods can be used for reconstruction of η ^C and η ^D as continuous functions , e . g . , spline reconstruction or similar, the present disclosure will use a s imple piecewise linear interpolation, which turns to be sufficiently accurate for the desired task .

To perform the desired tasks , some changes in notation are applied to read the same regardless of the used mode , i . e . , CC or CP mode . In the CC mode , represents a selected c charging value of C-rates from step A and its corrected value for the one-way charging efficiency obtained from step C : .

Similarly, represents a selected d discharging value of C- rates from step A and its corrected value for the discharging efficiency obtained in step C : .

Now, the said interpolations and extrapolations read : and

The obtained functions η ^C (i ^ch ) and η ^D (i ^dis ) above are continuous functions of any selected gross charging and net discharging measured currents i ^ch , i ^dis , as shown in Figures 2A and 2B . Said relations are now used for calculation of state-of-charge SOC vector for the time series t,

SOC = (soc ₀ , SOC ₁ , ... , soc _t-1 , soc _t ,...) .

It is possible to calculate each vector element value soc _t , at some time instant t, with respect to the previous soc _t-1 value which is known for the time interval Δt that occurred just before the time instant t, by using the definition : and by using the said relations and .

Example 2 - determination of battery charge capacity C ^I

The data obtained in Example 1 and the experimental determination of battery parameters , expressed in steps A-C , are used hereby for experimental determination of the battery charge capacity C ^I . For the mentioned task, the following steps D and E are performed : Step D

First , it is necessary to select K number of different C-rates to perform K full charging-discharging cycles in the constant-current- constant-voltage mode . It is desirable that K is greater than 1 for improving the method accuracy, but the procedure is possible to be carried out even for K=1 . The provisions or conditions are set below :

( i ) the selected C-rate remains the same within the same cycle for charging and discharging ,

( ii ) the cycle is started with either fully depleted battery or fully charged battery, where fully depleted means that a battery is discharged until the discharge current drops below the defined low cut-off value , while keeping the battery' s voltage at the low voltage limit , and fully charged means that a battery is charged until the charge current drops below the defined low cut-off value while keeping the battery' s voltage at the high voltage limit , and

( iii ) each charging is terminated when a battery is fully charged, while each discharging is terminated when a battery is fully depleted, as defined in ( ii ) .

Step E

For every full cycle performed in step D the logged currents and are corrected with the results obtained in Example 1 by using charging η ^C and discharging η ^D efficiency characteristics , to obtain currents and . Said values are integrated in time to obtain K injected charges and K extracted charges from the battery, where the obtained charges are averaged to calculate the newly defined, mean battery charge capacity : Example 3 - determination of state of health SOH parameter

Results obtained in previous examples can be used for determination of state of health SOH parameter expressed in percentage 0 -100% . Namely, SOH is a time-dependent parameter defined as . Parameter corresponds to the first determination of the mean battery charge capacity C ^I according to the Example 2 procedure when the battery is new, and is a newly determined value C ^I during the battery usage period according to the same procedure .

Now, the Examples 1-3 teaching for the constant current ( CC ) mode can be simply rewritten for the constant power ( CP ) mode , offering the power/energy approach instead of the current/charge approach .

Example 4 - determination of state-of-energy SOE vector

If the battery cycling was performed in the CP mode , the obtained one- way efficiencies and can be used to determine the state-of- energy SOE vector . The procedure is explained in more detail below .

Previously calculated charging and discharging efficiencies in step C for the given battery are used for defining piecewise linear efficiency characteristics η ^C and η ^D for the range of battery' s operational charging/discharging P-rates .

The said efficiency characteristics are defined as : where is the net power injected in the battery during charging and it is function of gross power taken from an external source p ^ch , while the gross power extracted from the battery during discharging is a function of net power delivered to an external sink p ^dis . The functions η ^C and η ^D are obtained as the interpolations or extrapolations performed for measured powers p ^ch , p ^dis values in respect to the known currents used in battery cycling in step A. Although many different methods can be used for reconstruction of η ^C and η ^D as continuous functions, e.g. , spline reconstruction or similar, the present disclosure will use a simple piecewise linear interpolation, which turns to be sufficiently accurate for the desired task.

To perform the desired tasks, some changes in notation are applied to read the same regardless of the used mode, i.e., CC or CP mode. In the CP mode, represents a selected c charging value of P-rates from step A and its corrected value for the one-way charging efficiency obtained from step C: .

Similarly, represents a selected d discharging value of P- rates from step A and its corrected value for the discharging efficiency obtained in step C: .

Now, the said interpolations and extrapolations read: and

The obtained functions η ^c (p ^ch ) and η ^D (p ^dis ) above are continuous functions of any selected gross charging and net discharging measured powers p ^ch , p ^dis , as shown in Figures 2A and 2B . Said relations are now used for calculation of state-of-energy SOE vector for the time series t, SOE = (soe ₀ , soe ₁ , ... , soe _t-1 , soe _t , ... ) .

It is possible to calculate each vector element value soe _{t ,} at some time instant t, with respect to the previous soe _t-1 value which is known for the time interval Δt that occurred just before the time instant t, by using the definition : and by using the said relations .

Example 5 - determination of battery energy capacity C ^E

The data obtained in Example 4 and the experimental determination of battery parameters , expressed in steps A-C , are used hereby for experimental determination of the battery energy capacity C ^E . For the mentioned task, the following steps D and E are performed :

Step D

First , it is necessary to select K number of different P-rates to perform K full charging-discharging cycles in the constant-power- constant-voltage mode . It is desirable that K is greater than 1 for improving the method accuracy, but the procedure is possible to be carried out even for K=1 . The provisions or conditions are set below :

( i ) the selected P-rate remains the same within the same cycle for charging and discharging ,

( ii ) the cycle is started with either a fully depleted battery or a fully charged battery, where fully depleted means that a battery is discharged until the discharge current drops below the defined low cut-off value , while keeping the battery' s voltage at the low voltage limit , and fully charged means that a battery is charged until the charge current drops below the defined low cut-off value while keeping the battery' s voltage at the high voltage limit , and

( iii ) each charging is terminated when a battery is fully charged, while each discharging is terminated when a battery is fully depleted, as defined in ( ii ) .

Step E

For every full cycle performed in step D the logged powers and are corrected with the results obtained in Example 4 by using charging η ^C and discharging η ^D efficiency characteristics , to obtain powers and . Said values are integrated in time to obtain K inj ected energies and K extracted energies , where the obtained energies are averaged to calculate the newly defined, mean battery energy capacity :

Example 6 - determination of state of health SOH parameter

Results obtained in previous examples 4 and 5 can be used for determination of the state of health SOH parameter expressed in percentage 0-100% . Namely, SOH is a time-dependent parameter defined as . Parameter corresponds to the first determination of the mean battery energy capacity C ^E according to the Example 5 procedure when the battery is new, and is a newly determined value C ^E during the battery usage period according to the same procedure .

Example 7 - an hour ahead energy charging ability

Thera are many possible uses of the before mentioned data . However , it is common in the field to perform an estimation of hour ahead energy charging ability for the instant SOE , when charging with a given P-rate . This approach is frequently used when it is necessary to maximize profit by performing energy arbitrage . The battery storage is a price taker and cannot affect market prices , which are known or forecast in advance . The simplest obj ective function of the proposed model is : where λ _t are hourly market prices , is the energy sold in the market and is the energy purchased in the market for the selected time Δt . Example 4 connects the mentioned real-world values with the real battery values , previously calculated and modeled to read :

Without going into details , a person skilled in the art will immediately recognize that the maximization results take the obtained efficiency characteristics η ^C and η ^D into account . Therefore , the optimization algorithm might suggest prolonging charging/discharging to non-peak energy price hours , if that results in a higher overall profit due to the reduced charging/discharging rates and consequently reduced energy losses . The model should also obey some constraints such as maximum charging/discharging P-rates the battery can sustain without being damaged . More complex models would include the battery amortisation, SOH calculations , and other relevant parameters to obtain the total costs of energy arbitrage performed with the modeled battery pack .

Example 8 - temperature variations

Figures 2A and 2B represent one-way efficiency characteristics η ^C and η ^D determined for a given battery pack, for some constant environmental temperature T ^E . The same figures show measured pairs denoted as the solid dots ; in case of the CP mode and , or in case of the CC mode and Extrapolations and interpolations are denoted by the dashed and solid lines , while the "ideal battery" line is denoted by the dotted line where one-way efficiencies and are 1 , i . e . , the battery with 100% one-way efficiencies and .

A change in environmental temperature T ^E causes slight changes in one- way efficiencies η ^C and p ^D and produces family of curves that deviate from those presented in Figures 2A, 2B . Such changes are described well in reference 1 ) cited in the state -of-art section .

Therefore , a person skilled in the art will , with reasonable experimentation effort , perform the experiments to obtain a family of curves η ^C , p ^D which are , inter alia , battery temperature T ^Bat dependent as any other electrochemical process , or simply environmental temperature T ^E depended .

In a straightforward manner, these findings can be applied, mutatis mutandis , to all examples previously discussed .

Industrial Applicability

An industrial applicability of the present disclosure is obvious . Namely, the present disclosure reveals a novel method for experimental determination of battery parameters and their use for SOE (State of Energy) , SOC (State od Charge) and SOH (State of Health) calculations for a given battery. The present disclosure also discusses the subsequent use of the mentioned values in everyday battery applications .

Definitions and abbreviations

T ^E - environmental temperature,

T ^Bat - measured battery temperature

CC - constant current mode,

CP - constant power mode,

C - total number of different charging values used to conduct battery cycling for one-way efficiency determination purposes, (for CC denotes C-rate, for CP denotes P-rate) ,

D - total number of different discharging values used to conduct battery cycling for one-way efficiency determination purposes, (for CC denotes C-rate, for CP denotes P-rate) ,

J - cycling repetition number for one-way efficiency determination purposes ,

Ω ^C = {c _1; c ₂ ,..., c _C } - set of selected C values,

Ω ^D = {d _1; d ₂ , ...,d _D } - set of selected D values, - measured roundtrip efficiency per cycle, - averaged roundtrrp battery efficiency over J repetitions , - calculated (discrete) one-way charging efficiency corresponding to c charging C-rate (or P-rate) ,

- calculated (discrete) one-way discharging efficiency corresponding to d discharging C-rate (or P-rate) , roundtrip efficiency per cycle in CC mode, - the injected charge into the battery, - the extracted charge from the battery, logged charging current , logged discharging current , roundtrip efficiency per cycle in CP mode , - the injected power into the battery, - the extracted power from the battery, - logged charging power , - logged discharging power , η ^C - piecewise linear efficiency charging characteristic , η ^D - piecewise linear efficiency discharging characteristic ,

In CC mode : î ^ch = η ^C (i ^ch ) - net current injected in the battery during charging, l ^ch - gross current taken from the external source , î ^dis = η ^D (i ^dis ) - gross current extracted from the battery during discharging, i ^dis - net current delivered to the external sink ,

In CP mode : - net power injected in the battery during charging, p ^ch - gross power taken from the external source , - gross power extracted from the battery during discharging, p ^dis - net power delivered to the external sink , ; c - charging value for selected C-rate or P-rate - stands for in CC mode , - stands for in CC mode , - stands for in CP mode , - stands for in CP mode , - discharging value for selected C-rate or P-rate

- stands for in CC mode ,

- stands for in CC mode , - stands for in CP mode , - stands for in CP mode ,

SOC = (soc ₀ , soc ₁ ,... ,, soc _{t- 1} , soc _t , ... ) - state of charge vector,

SOE = (soe ₀ , soe ₁ , ... , soe _t-1 , soe _t , ... ) - state of energy vector,

K - number of cycles with different C-rates ( P-rates ) for battery capacity determination purposes , - measured mean battery charge capacity, - measured mean battery energy capacity, - time integrated in k-th cycle , - time integrated in k-th cycle , - time integrated in k-th cycle , - time integrated in k-th cycle , - state of health in later time t, based on battery charge capacity change with time , - state of health in later time t, based on battery energy capacity change with time . λ _t - hourly market prices