Method for managing a maximum power of an electric battery

The method employs a simplified simulation of an equivalent battery model to accurately manage the maximum power of electric batteries in aircraft, overcoming the limitations of existing technologies by reducing computational requirements and improving precision.

WO2025125740A1PCT designated stage expired Publication Date: 2025-06-19SAFRAN ELECTRICAL & POWER
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Patent Information

Application Number
PCT/FR2024/051615
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-12-11
Filing Date
2024-12-05
Publication Date
2025-06-19

AI Technical Summary

Technical Problem

Existing methods for managing the maximum power of electric batteries in aircraft are imprecise and require significant computational resources, making them unsuitable for real-time applications like takeoff and landing.

Method used

A method that uses a simplified simulation of an equivalent battery model to determine the maximum power, updating parameters based on battery characterization tests and studies, and calculating the equivalent direct current resistance to project battery voltage and power over time.

Benefits of technology

This method allows for reliable and precise management of battery maximum power with limited computing resources, enabling its use in embedded systems for aircraft and other applications.

✦ Generated by Eureka AI based on patent content.

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Abstract

One aspect of the invention relates to a method (100) for managing a maximum power Pmax of an electric battery, the method comprising, in particular, the steps of: - determining (160) an equivalent time teq according to an equivalent direct current resistance DCReqt and a simple resistance R0t of the battery for the present time t; - determining (170) a direct current resistance DCR teq+Δt of the battery for a future equivalent time teq+Δt; -estimating (180) a voltage Ut+Δt of the battery for a future time t+Δt; and - determining (190) the maximum power Pmax of the battery according to: - the estimated voltage Ut+Δt of the battery for the future time t+Δt; and - the maximum predetermined current Imax of the battery or an estimated maximum current Imax of the battery.
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Description

DESCRIPTION TITLE: Method for managing maximum power of an electric battery TECHNICAL FIELD OF THE INVENTION

[0001] The technical field is that of the management of electric batteries, in particular electric batteries on board a vehicle, notably in an aircraft.

[0002] The present invention relates to a method for managing a maximum power of an electric battery and an associated system. TECHNOLOGICAL BACKGROUND OF THE INVENTION

[0003] Climate change is a major concern for many legislative and regulatory bodies around the world. Indeed, various carbon emission restrictions have been, are being, or will be adopted by various states. In particular, an ambitious standard applies to both new aircraft types and those currently in operation, requiring the implementation of technological solutions to bring them into compliance with current regulations. For several years now, civil aviation has been mobilizing to contribute to the fight against climate change.

[0004] Technological research efforts have already led to very significant improvements in the environmental performance of aircraft. The Applicant takes into consideration the factors impacting all phases of design and development, to obtain less energy-intensive, more environmentally friendly aeronautical components and products whose integration and use in civil aviation have moderate environmental impacts with the aim of improving the energy efficiency of aircraft. The Applicant is constantly working to reduce its climate impact by using methods and operating virtuous development and manufacturing processes and minimizing greenhouse gas emissions to the minimum possible to reduce the environmental footprint of its activity.

[0005] This sustained research and development work focuses on new generations of aircraft engines, the lightening of aircraft, particularly through the materials used and lighter on-board equipment, development of the use of electric technologies to ensure propulsion, and finally aeronautical biofuels.

[0006] In this context, the use and management of electric batteries within aircraft must be optimized. It is particularly essential to be able to manage the maximum power of an electric battery. Maximum power, also called maximum peak power, and noted here as Pmax, is the maximum power that the battery can provide continuously for a given period.

[0007] It is known that the maximum power Pmax varies depending on various battery parameters. The maximum power Pmax varies in particular depending on the battery's state of charge, the battery's temperature, the current applied to the battery during charging or discharging, and the battery's state of health. For example, a so-called "balanced" battery, i.e., with zero current and stable voltage, has a higher maximum power Pmax than when a non-zero current is applied to the battery during a charging or discharging period. In addition, the higher the battery's charge level, the higher the battery's maximum power Pmax is during battery charging but lower during battery discharging. In addition, a battery with a low temperature has a lower maximum power Pmax. Finally, the more the state of health of a battery deteriorates, the more the battery's maximum power Pmax decreases.

[0008] Thus, it is necessary to take into account at least some of these different battery parameters in order to reliably and accurately determine the maximum power Pmax of a battery. The determination of the maximum power Pmax of the battery can be performed at a present time t, for a future time t+At with a variable application duration At, for example between 1 and 60 seconds. In addition, this determination must be performed instantaneously depending on the dynamic state of the battery, in particular to allow sufficient accuracy of battery management in critical transient phases such as takeoff or landing of an aircraft. It can be noted that the application duration At, for which the maximum power Pmax of a battery is determined, also influences the determination of the maximum power Pmax.Indeed, when the application duration At increases, the maximum power Pmax of a battery decreases during a discharge period and during a charge period. The application duration At is defined according to the needs of each. application. For the same application, it is possible to determine the maximum power Pmax for several application durations At, and therefore for example to determine the maximum power Pmax s for an application duration At= 10 seconds, the maximum power Pmaxsos for an application duration At= 30 seconds... It is therefore possible to determine at a present time t, the maximum power at the future time t+At with the following equation:

[0010] With : U, the battery voltage, and I, the current applied to the battery.

[0011] The maximum power Pmax can be defined by reaching predefined limit voltages and predefined limit currents. These predefined limit voltages and predefined limit currents are the maximum limit current I max , battery charge during the charging phase, the maximum current limits the max , battery discharge during the discharge phase, the maximum limit voltage U max during the charging phase and the minimum limit voltage U min during the discharge phase. These limit voltages and limit currents can, for example, be defined by the battery supplier or by the constraints of the application in which the battery is used. Thus, four cases can be identified: during a battery charging phase, the maximum power Pmax corresponds to: During a battery discharge phase, the maximum power Pmax corresponds to

[0012] Several methods therefore make it possible to determine, for a future instant t+At distant from the present instant t by the duration of application At, the maximum power Pmax of a battery.

[0013] A first group of methods uses machine learning to determine the maximum power Pmax of a battery. However, these methods require a large amount of data to train the neural network. This training data is, however, difficult or sometimes impossible to obtain.

[0014] A second group of methods uses an electrical representation, such as the equivalent electrical circuit illustrated in Figure 1, to model the behavior of a battery. These methods determine the maximum power Pmax of a battery based on a previously determined internal resistance of the battery. Figure 1 illustrates an example of an equivalent model 1 of an electric battery that can be used by a method of this second group. Model 1 of Figure 1 allows a good compromise between simplicity and accuracy in determining the maximum power Pmax of a battery.A current denoted Iceii is applied to model 1 and model 1 includes: an instantaneous open circuit source OCV, representing the battery voltage when it is at rest, a resistor Ro, representing the connection resistances and those of the fast transient phenomena, preferably, a parallel RC circuit, representing the diffusion phenomenon and including a resistor Rdiff and a capacitor Cditt.

[0015] Some of the methods in this second group are based on Kalman filters and least squares optimization. The equations of the electrical model are then used iteratively to converge over time towards the maximum power Pmax of the battery. These methods therefore involve a very significant computational load in order to determine the maximum power Pmax of the battery. These methods are therefore more difficult to use for an on-board application, for example in an aircraft.

[0016] Other methods of this second group of methods based on an electrical representation, carry out a direct calculation of the maximum power Pmax of the battery in a similar way to a simulation of an online electrical model. However, this calculation is simplified in order to be suitable for an embedded application. In order to simplify the calculation, it is for example possible not to take into account appropriately the state of the battery at the time of estimation, or to ignore the voltage drop caused by the application of the maximum authorized current, or to ignore the variation of the characteristics of the battery such as the parameters of the internal resistance of the equivalent electrical model of the battery during a current window, in particular depending on the state of charge of the battery. These methods are therefore imprecise, in particular because they do not take into account appropriately the state of the battery in order to determine a maximum power Pmax of an electric battery.The state of a battery at a given moment can be assessed from various parameters such as battery voltage, current applied to the battery during charging or discharging, battery state of charge, battery temperature or even battery health.

[0017] There is therefore a need for a method for managing the maximum power of an electric battery which limits, at least in part, the problems associated with the use of the aforementioned methods of the prior art. SUMMARY OF THE INVENTION

[0018] The invention provides a solution to the problems mentioned above, by making it possible to manage a maximum power Pmax of an electric battery in a reliable, precise and economical manner in terms of computing resources. Indeed, the maximum power Pmax of the battery is determined by carrying out a simplified simulation of an equivalent model of a battery. The invention preferably comprises updating the parameters of the equivalent model of a battery as illustrated in Figure 1. The updating of the parameters can for example be carried out using previously implemented battery characterization tests and studies. These battery characterization tests and studies make it possible to obtain maps, or equations, of these parameters at different health states of the battery. Finally, determining the health state of the battery makes it possible to identify the value to be used for at least some of the parameters of the equivalent model of the battery.

[0019] The simulation of the equivalent model allows a projection to be made in time, for a future instant t+At distant from the present instant t by a duration of time At, of the maximum power Pmax of the battery, avoiding iterations requiring significant computing resources. The present time t is the time at which the method according to the invention is implemented. The method according to the invention thus defines the characteristics of a present overvoltage MJ tat the present time t in order to be able to carry out said projection. The method according to the invention makes it possible to dispense with the battery usage history, i.e. the current profile which has been applied to the battery and / or is being applied at the present time t. Indeed, in the method according to the invention, a correspondence is found between the usage history and an equivalent direct current resistance DCReq generated under a fixed current lo. The equivalent direct current resistance DCReq preferably corresponds to the real part of the impedance of an equivalent model as illustrated in Figure 1. Thus, at the present time t, the voltage of the cell U t can be obtained by the following equation:

[0020] U t = 0CV t + J t

[0021] With MJ t , the overvoltage at the present time t can be obtained by the following equation:

[0023] With DCReqt , the equivalent direct current resistance DCReqt at the present time t generated by a fixed current It during an equivalent current application time, also called in the present application equivalent time and noted teq. The equivalent time corresponds to the time necessary to reach the voltage Ut of the electric battery by applying the current It constantly to the electric battery. In other words, the equivalent time is the time of application of the current current It allowing the current voltage Ut of the battery to be obtained; the current It being applied with a constant value and the battery being initially new.

[0024] The method according to the invention therefore comprises a determination of the equivalent direct current resistance DCReqt for the present instant t and the equivalent time t eqin order to carry out the projection in time of the battery voltage up to the future equivalent instant teq+At, and in order to obtain the battery voltage U t+àt for this future instant t+At. Figure 2 shows a diagram 10 illustrating the principle of the equivalent direct current resistance DCReqt for the instant t and the equivalent time teq. The vertical axis 11 represents the battery voltage, expressed in volts, and the horizontal axis 12 represents the time, expressed in seconds. The double arrow 13 represents the equivalent time teq for the present instant t and the double arrow 14 represents the result of the product between the current It applied to the battery at the present instant t and the equivalent direct current resistance DCReqt. Curve 15 represents the battery voltage and curve 16 the open circuit voltage OCV of the battery, expressed in volts. Rectangle 17 represents the estimate of the maximum power Pmax of the battery for a future duration of time At.

[0025] One aspect of the invention thus relates to a method for managing a maximum power Pmax of an electric battery comprising computer-implemented steps of: obtaining, for a present time t, an open circuit voltage OCVt of the battery, a battery voltage Ut and a current It applied to the battery, determining, for the present time t, an equivalent direct current resistance DCReqt as a function of the open circuit voltage OCVt, the battery voltage Ut and the current It applied to the battery obtained, determining an equivalent time teq as a function of the determined equivalent direct current resistance DCReqt, of a simple resistance Rot of the battery for the present time t, the equivalent time corresponding to the time required to reach the voltage Ut of the electric battery by applying the current It constantly to the electric battery,determination of a direct current resistance DCR teq+At for a future equivalent instant teq+At, distant from the equivalent time teq by a duration of time At, the determination of the direct current resistance DCRteq+At being carried out as a function of the simple resistance value Rot+At of the battery for the future instant t+At, estimation of a voltage Ut+At of the battery, for a future instant t+At distant from the present instant t by the same duration of time At, as a function of a future open circuit voltage OCVt+At for the future instant t+At, of the direct current resistance DCR teq+At for the future instant t+At and of a maximum predetermined current Imax of the battery, determination of the maximum power Pmax as a function :of the estimated battery voltage Ut+At for the future time t+At and the maximum predetermined current Imax of the battery, when the voltage Ut+At for the future time t+At is included in a predetermined range of battery limit voltages, or of the estimated battery voltage Ut+At for the future time t+At and an estimated maximum current Imax of the battery, when the battery voltage Ut+At for the future time t+At is not included in the predetermined range of battery limit voltages, the estimated maximum current Imax of the battery being determined from a terminal of the predetermined range of battery limit voltages, the future open circuit voltage OCVt+At of the battery for the future time t+At and the direct current resistance DCRteq+At for the future equivalent time teq+At.

[0026] Thanks to the invention, it is possible to manage a maximum power Pmax of an electric battery reliably and precisely since the method according to the invention takes into account the state of the battery at the current time. In addition, the method can be used in an embedded system with limited space and computing resources, since the computing power necessary for implementing the method is limited. Applications, particularly in aeronautics, but also in maritime and automotive applications, of the method according to the invention are therefore possible. Finally, the invention makes it possible to do without a large quantity of training data for a machine learning algorithm, data which can be difficult to obtain.

[0027] In addition to the characteristics which have just been mentioned in the preceding paragraph, the method according to one aspect of the invention may have one or more complementary characteristics among the following, considered individually or according to all technically possible combinations: the step of determining an equivalent time teq further comprises the determination of a diffusion resistance Rditrt of the battery for the present instant t and of a diffusion time constant T difft For the present time t, and wherein the determination of the direct current resistance DCR teq+At for the future equivalent time teq+At, is further performed as a function of the diffusion resistance value Rdirt t+At of the battery for the future time t+At and the diffusion time constant Tdi / ft+At of the battery for the future time t+At. the future open circuit voltage OCV t+At for the future time t+At is determined using prior steps comprising: Determination, for the future instant t+At, of a future state of charge SOCt+At of the battery as a function of a state of charge SOCt for the present instant t, the future state of charge SOCt+At for the future instant t+At being determined for the maximum predetermined current Imax applied to the battery during the time duration At, and Determining, for the future instant t+At, the future open circuit voltage OCVt+At of the battery as a function of the future state of charge SOCt+At of the battery. the method further comprises an initial step of obtaining a temperature Tt of the battery and a first mapping of an open circuit voltage OCV as a function of a state of charge SOC of the battery and the temperature Tt of the battery and in which the determination of the equivalent direct current resistance DCReqt at the present instant t is carried out using the first mapping obtained, the initial step of obtaining the first mapping further comprises: Obtaining a second map of the simple resistance Ro of the battery as a function of the state of charge SOC of the battery, the current I applied to the battery and the temperature Tt of the battery, and in which: the simple resistance Rot of the battery at the present time t is determined from the second map with the current state of charge SOCt at the present time t, the current It applied to the battery at the present time t and the temperature Tt of the battery at the present time t, the initial step of obtaining the first mapping further comprises: Obtaining a third map of the diffusion resistance Rdiff as a function of the state of charge SOC of the battery, the current I applied to the battery and the temperature Tt of the battery, and in which: the diffusion resistance Rditft of the battery at the present time t is determined from the third map with the current state of charge SOCt at the present time t, the current It applied to the battery at the present time t and the temperature Tt of the battery Tt at the present time t, the initial step of obtaining the first map further comprises: Obtaining a fourth mapping of the diffusion time constant T diff depending on the state of charge SOC of the battery, the current I applied to the battery and the temperature Tt of the battery and in which: the diffusion time constant T difftat the present time t is determined from the fourth mapping with the current state of charge SOCt at the present time t, the current It applied to the battery at the present time t and the temperature Tt of the battery at the present time t, the first mapping of the open circuit voltage OCV is furthermore a function of a state of health SOH of the battery, and / or the second mapping of the simple resistance Ro is furthermore a function of the state of health SOH of the battery, and / or the third mapping of the diffusion resistance Rdiff is furthermore a function of the state of health SOH of the battery, and / or the fourth maps the diffusion time constant diffis furthermore a function of the state of health SOH of the battery, and in which the state of health SOH of the battery is taken into account to determine the maximum power Pmax of the battery, the method further comprises a final step of modifying the conditions of use of the battery as a function of the maximum power Pmax determined.

[0028] A second aspect of the invention relates to a system for managing an electric battery comprising an electronic processing and control system configured to execute the steps of the method according to the invention.

[0029] A third aspect of the invention relates to an aircraft comprising an electric battery and a battery management system according to the invention.

[0030] A fourth aspect of the invention relates to a computer program comprising instructions which, when the program is executed by a computer, cause the latter to implement a method according to the invention.

[0031] A fifth aspect of the invention relates to a non-transitory computer-readable data carrier on which the computer program according to the invention is recorded.

[0032] The invention and its various applications will be better understood by reading the following description and examining the accompanying figures. BRIEF DESCRIPTION OF THE FIGURES

[0033] The figures are presented for information purposes only and in no way limit the invention. Figure 1 shows an example of an equivalent model of an electric battery, Figure 2 shows a diagram illustrating the principle of modeling the equivalent direct current resistance DCReq and the equivalent time teq, Figure 3 shows a block diagram illustrating the steps of the method 100 according to an exemplary embodiment of the invention. DETAILED DESCRIPTION

[0034] Unless otherwise specified, the same element appearing in different figures has a single reference.

[0035] Figure 3 is a block diagram illustrating the steps of an example of the method according to the invention. The mandatory steps of the example of the method 100 are indicated by a solid rectangle and the optional steps are indicated by a dotted rectangle.

[0036] Method 100 is a method for managing a maximum power Pmax of one or more electric batteries. It allows more reliable management of the maximum power Pmax of one or more electric batteries by reliably and accurately determining this maximum power Pmax. Method 100 can be applied during a battery charging or discharging period. For simplicity, the examples below are provided for a battery discharging period but the method applies in a similar manner for a battery charging period.

[0037] The electric battery to which the method 100 is applied is, for example, a battery on board an aircraft. The battery is for example used to store and / or deliver electrical energy to equipment of an aircraft turbomachine. The battery is for example used for electric propulsion functions within the turbomachine. Alternatively, the electric battery is a battery of an on-board automotive, railway, maritime, etc. system.

[0038] A first optional step 110 of the method 100 comprises obtaining a first mapping of an open circuit voltage OCV as a function of a state of charge SOC of the battery and a temperature of the battery. The term “obtain” may mean in the present application “measure” and / or “receive” and / or “calculate”. A mapping makes it possible to determine the evolution of a first variable, an open circuit voltage OCV for the first mapping, as a function of one or more other variables, a state of charge SOC of the battery and a temperature of the battery for the first mapping. In one example, the first optional step 110 of the method 100 also comprises obtaining three other maps. The second mapping is a mapping of the simple resistance RO as a function of the battery state of charge SOC, the current I applied to the battery and the battery temperature. The third map is a map of the diffusion resistance Rdirt as a function of the battery state of charge SOC, the current I applied to the battery and the battery temperature. The fourth map is a map of the diffusion time constant T diff depending on the battery state of charge SOC, the current I applied to the battery and the battery temperature.

[0039] In one example, consistent with the previous example, the first optional step 110 of the method 100 also comprises obtaining a temperature Tt of the battery. The temperature Tt is expressed in degrees Celsius. Alternatively, obtaining the temperature Tt of the battery may also be performed in step 120.

[0040] In an example, compatible with the previous example, a map or some maps or each of the four maps obtained in step 110 is furthermore based on a state of health SOH of the battery. Thus, for said maps, the influence of the state of health SOH of the battery is taken into account. The first map is therefore a map of the open circuit voltage OCV as a function of the state of charge SOC of the battery, the temperature Tt of the battery and the state of health SOH of the battery. The second map is a map of the simple resistance Ro as a function of the state of charge SOC of the battery, the current I applied to the battery, the temperature Tt of the battery and the state of health SOH of the battery.The third map is a map of the diffusion resistance Rdirt as a function of the battery state of charge SOC, the current I applied to the battery, the battery temperature Tt and the battery state of health SOH. The fourth map is a map of the diffusion time constant T. diff depending on the state of charge SOC of the battery, the current I applied to the battery, the temperature Tt of the battery and the state of health SOH of the battery. When the four maps obtained in step 110 include the state of health SOH of the battery, the method 100 can determine the maximum power Pmax of the battery taking into account the state of health SOH of the battery. In this example, the method 100 is therefore even more reliable and precise in managing the maximum power Pmax of the battery.

[0041] A second step 120 of the method 100 comprises obtaining, for the present time t, an open circuit voltage OCVt of the battery, a battery voltage Ut, a current It applied to the battery and a temperature Tt of the battery. The voltages OCVt and Ut are expressed in volts. The current It is expressed in amperes. In one example, compatible with the previous examples, this data can be measured.

[0042] A third optional step 130 of the method 100 comprises determining, for the future instant t+At, a future state of charge SOCt+At of the battery as a function of a state of charge SOCt of the battery at the present instant t. A state of charge is often expressed as a percentage of the total capacity of the battery. The future state of charge SOCt+At is determined for a maximum current Imax applied to the battery during the time duration At. In an example, compatible with the previous examples, the future state of charge SOCt+At of the battery can be obtained for a discharge phase at maximum current Imax with the following equation:

[0043] SOC t+At = SOC t + 100

[0044] With : Capacity, the battery capacity expressed in amperes per second, and the max , the maximum current applied to the battery.

[0045] The maximum current Imax, also called the limit current, may be a predetermined value. This maximum current Imax may, for example, be provided by the battery manufacturer and obtained during step 110. The maximum current Imax may be different depending on whether the battery is being charged or discharged.

[0046] A fourth optional step 140 of the method 100 comprises determining, for the future instant t+At, the future open circuit voltage OCVt+At of the battery as a function of the future state of charge SOCt+At of the battery. The determination of the future open circuit voltage OCVt+At can be carried out using the following equation:

[0047] 0CV t+At = OCV( SOC t+At )

[0048] In one example, consistent with the previous examples, the determination of the future open circuit voltage OCVt+At can be performed by taking into account the temperature Tt at the present time t using the following equation:

[0049] OCV t+At = OCV( SOC t+At , T t )In the last example, it is also possible to use the future temperature Tt+ât , instead of the temperature Tt at the present time t, to determine the future open circuit voltage OCVt+At The future temperature Tj+ât can for example be estimated using a thermal model of the electric battery.

[0050] A fifth step 150 of the method 100 comprises determining an equivalent direct current resistance DCReqt at the present time t. The equivalent direct current resistance DCReqt is determined as a function of the open circuit voltage OCVt, the battery voltage Ut at the present time t, the current It applied to the battery at the present time t obtained in step 120. For example, the equivalent direct current resistance DCReqt at the present time t can be obtained with the following equation:

[0052] In one example, consistent with the previous examples, the determination 150 of the equivalent direct current resistance DCReqt at the present time t is performed using the first mapping obtained in step 110.

[0053] A sixth step 160 of the method 100 comprises determining an equivalent time teq at the present time t as a function of the equivalent direct current resistance DCReqt determined in step 150, of a simple resistance Rot of the battery for the present time t, and optionally as a function of a diffusion resistance Rem of the battery for the present time t and of a diffusion time constant T difftfor the present time t. The simple resistance Rot of the battery for the present time t can be defined as a function of the state of charge SOC of the battery, the current I applied to the battery and the temperature Tt of the battery. The equivalent time teq corresponds to the time of application of the fixed current It at the present time in order to obtain the equivalent direct current resistance DCReqt for the present time t. The equivalent direct current resistance DCReqt for the present time t is considered equivalent to the usage history of the battery. Thus, regardless of the usage history of the battery, the equivalent time teq corresponds to the time of application of the fixed current It which would allow to arrive at the same voltage as that measured at the present time t if the internal resistance of the battery were the equivalent direct current resistance DCReqt for the present time. The equivalent time teq can for example be determined using the following equation:

[0055] With T difft , the diffusion time constant of the battery at the present time t can be obtained by:

[0056] ^difft difft Cdifft

[0057] With : C difft , la diffusion capacity of the battery at the present time t, expressed in Farads.

[0058] In one example, consistent with the previous examples, the simple resistance Rot of the battery at the present time t is determined from the second map obtained in step 110 using the state of charge SOCt at the present time t, the current It applied to the battery at the present time t and the temperature of the battery at the present time t,

[0059] In one example, consistent with previous examples, the diffusion resistance Rdittt of the battery at the present time t is determined from the third map using the current state of charge SOCt at the present time t, the current It applied to the battery at the present time t and the temperature of the battery at the present time t, and

[0060] In an example, consistent with the previous examples, the diffusion time constant T difftat the present time t is determined from the fourth map with the current state of charge SOCt at the present time t, the current It applied to the battery at the present time t and the battery temperature at the present time t. Alternatively, it is also possible to use a map of the battery diffusion capacity C difft .

[0061] A seventh step 170 of the method 100 comprises the determination of a direct current resistance DCRteq+ t for a future equivalent instant teq+At, distant from the present equivalent time teq by the duration of time At. The determination of the direct current resistance DCRteq+At is performed as a function of the simple resistance value Rot+At of the battery for the future time t+At, the diffusion resistance value Rdift t+At of the battery for the future time t+At and the diffusion time constant T di / / t+At of the battery for the future instant t+At. The direct current resistance DCRteq+At for the future equivalent instant teq+At, can for example be determined using the following equation:

[0063] Calculations of the simple resistance value Rot+At of the battery for the future time t+At, of the diffusion resistance value Rdift t+At of the battery for the future time t+At and of the diffusion time constant T di / / t +At of the battery for the future time t+At can be performed based on the maximum predetermined current Imax of the battery. In addition, these calculations can be performed based on the temperature Tt at the present time or based on the future temperature Tf+At at the future time Tf+At- The calculation of the simple resistance value Rot+At of the battery for the future time t+At can for example be performed using the following equation:

[0065] An eighth step 180 of the method 100 comprises determining a voltage Ut+At of the battery for the future time t+At. The determination of the voltage Ut+At of the battery is carried out as a function of the open circuit voltage OCVt+At for the future time t+At, the direct current resistance DCR teq+At for the future equivalent time teq+At and the predetermined maximum current Imax of the battery. In one example, consistent with the previous examples, this predetermined maximum current Imax was obtained in step 110.

[0066] A ninth step 190 of the method 100 comprises determining the maximum power Pmax of the battery. When the voltage Ut+At of the battery for the future equivalent instant t+At is within a predetermined range of limit voltages of the battery during a discharge of the battery, the determination is made as a function of the voltage Ut+At of the battery for the future instant t+At and the predetermined maximum current Imax of the battery. When the voltage Ut+At of the battery for the future instant t+At is not within the predetermined range of limit voltages of the battery, the determination is made as a function of the voltage Ut+At of the battery for the future time t+At as a function of an estimated maximum current Imax of the battery. The estimated maximum current Imax of the battery is determined from a terminal of the predetermined range of limit voltages of the battery, the future open circuit voltage OCVt+At for the future time t+At of the battery and the direct current resistance DCRteq+At for the future equivalent time teq+ t. The predetermined range of limit voltages of the battery can be provided by the battery manufacturer. The predetermined range of limit voltages can be obtained during step 110 of the method 100. The predetermined range of limit voltages includes a minimum voltage Umin and a maximum voltage Umax.When the battery voltage Ut+At for the future time t+At is within the predetermined range of battery limit voltages, the maximum battery power Pmax t+ At for the future time t+At can be determined with the following equation:.

[0067] P-max t + At ^t+ t * Imax

[0068] When the battery voltage Ut+At for the future time t+At is not within the predetermined range of battery limit voltages, the maximum battery power Pmax t+ At for the future time t+At can be determined with the following equation:

[0070] With I max est imé can be obtained by the following equation:

[0072] For a battery discharge phase, the battery voltage Ut+At for the future time t+At is not included in the predetermined range of battery limit voltages when the battery voltage Ut+At for the future time t+At is lower than the minimum voltage Umin. For a battery charge phase, the battery voltage Ut+At for the future time t+At is not included in the predetermined range of battery limit voltages when the battery voltage Ut+At for the future time t+At is higher than the maximum voltage Umax. Thus, in this case, in order to determine I max estimated the following equation is used:

[0074] An optional tenth step 200 of the method 100 comprises a modification of the conditions of use of the battery as a function of the maximum power Pmax determined in step 190. This modification of the conditions of use of the battery may be automatic, semi-automatic or manual, i.e. requiring human intervention. In examples, this modification of the conditions of use of the battery may comprise at least one action from among:

[0075] display of maximum power Pmax,

[0076] generation of an alert message when the maximum power Pmax of the battery is lower than a predetermined threshold power,

[0077] decision-making by a user concerning an aircraft maneuver, such as a landing, and implementation of the action resulting from the decision-making,

[0078] charging a battery whose power setpoint is determined as a function of the maximum power Pmax determined by method 100,

[0079] prediction of a minimum remaining battery charge time as a function of the maximum power Pmax determined by the method 100,

[0080] changing a first battery powering a system, such as a system contained in an aircraft or of an aircraft, and whose maximum power Pmax has been determined by the method 100, by a battery whose maximum power Pmax is greater than the maximum power Pmax, and

[0081] implementation of a maintenance operation of a system, such as a system contained in an aircraft or of an aircraft, powered by the battery whose maximum power Pmax is determined.

[0082] The present invention also relates to a system for managing an electric battery comprising means for implementing the method 100. For example, the management system according to the invention may comprise an electronic processing and control system, otherwise called a “computer”, comprising at least one processor and a memory, the electronic processing and control system being configured to execute the steps of the method 100. In addition, optionally, the system for managing an electric battery may comprise a means for displaying the maximum power Pmax determined by the method 100, at least one means for measuring the temperature of the battery ... at least one means for measuring the voltage at the terminals of the battery, and at least one means for measuring the current flowing between the terminals of said battery.

Claims

CLAIMS

1. Method (100) for managing a maximum power Pmax of an electric battery, the method comprising computer-implemented steps of: - obtaining (120), for a present instant t, an open circuit voltage OCVt of the battery, a battery voltage Ut and a current It applied to the battery, - determination (150), for the present instant t, of an equivalent direct current resistance DCReqt as a function of the open circuit voltage OCVt, the battery voltage Ut and the current It applied to the battery obtained (120), - determination (160) of an equivalent time teq as a function of the equivalent direct current resistance DCReqt determined (150), of a simple resistance Rot of the battery for the present instant t, the equivalent time corresponding to the time necessary to reach the voltage Ut of the battery by applying the current It constantly to the battery and the battery being initially new, - determination (170) of a direct current resistance DCR teq+At for a future equivalent instant teq+At, distant from the equivalent time teq by a duration of time At, the determination of the direct current resistance DCRteq+At being carried out as a function of the simple resistance value Rot+At of the battery for the future instant t+At, - estimation (180) of a voltage Ut+At of the battery, for a future instant t+At distant from the present instant t by the same duration of time At, as a function of a future open circuit voltage OCVt+At for the future instant t+At, of the direct current resistance DCR teq+At for the future instant t+At and of a maximum predetermined current Imax of the battery, - determination (190) of the maximum power Pmax as a function : o of the estimated voltage Ut+At of the battery for the future instant t+At and of the maximum predetermined current Imax of the battery, when the voltage Ut+At for the future time t+At is within a predetermined range of battery limit voltages, or the estimated battery voltage Ut+At for the future time t+At and an estimated maximum current Imax of the battery, when the battery voltage Ut+At for the future time t+At is not within the predetermined range of battery limit voltages, the estimated maximum current Imax of the battery being determined from a terminal of the predetermined range of battery limit voltages, the future open circuit voltage OCVt+At of the battery for the future time t+At and the direct current resistance DCRteq+At for the future equivalent time teq+At.

2. The method (100) of claim 1 wherein the step of determining (160) an equivalent time teq further comprises determining a diffusion resistance Rdirn of the battery for the present time t and a diffusion time constant T difft for the present instant t, and in which the determination (170) of the direct current resistance DCR teq+At for the future equivalent instant teq+At, is further carried out as a function of the diffusion resistance value Rditt t+At of the battery for the future instant t+At and the diffusion time constant T di / / t +At of the battery for the future instant t+At. [Claim s] Method (100) according to claim 1 or 2 wherein the future open circuit voltage OCV t+At for the future time t+At is determined using prior steps comprising: - Determination (130), for the future instant t+At, of a future state of charge SOCt+At of the battery as a function of a state of charge SOCt for the present instant t, the future state of charge SOCt+At for the future instant t+At being determined for the maximum predetermined current Imax applied to the battery during the time duration At, and - Determination (140), for the future instant t+At, of the future open circuit voltage OCVt+At of the battery as a function of the future state of charge SOCt+At of the battery.

4. Method (100) according to any one of the preceding claims further comprising an initial step (110) of obtaining a temperature Tt of the battery and a first mapping of an open circuit voltage OCV of the battery as a function of a state of charge SOC of the battery and the temperature Tt of the battery, and wherein the determination (150) of the equivalent direct current resistance DCReqt at the present time t is carried out using the first mapping obtained.

5. The method of claim 4, wherein the initial step (110) of obtaining the first mapping further comprises: - Obtaining a second mapping of the simple resistance Ro of the battery as a function of the state of charge SOC of the battery, the current I applied to the battery and the temperature Tt of the battery, and in which: - the simple resistance Rot of the battery at the present time t is determined from the second map with the current state of charge SOCt at the present time t, the current It applied to the battery at the present time t and the temperature Tt of the battery at the present time t.

6. The method of claim 4 or 5, wherein the initial step (110) of obtaining the first mapping further comprises: - Obtaining a third map of the diffusion resistance Rditt as a function of the state of charge SOC of the battery, the current I applied to the battery and the temperature Tt of the battery, and in which: - the diffusion resistance Rdirrt of the battery at the present time t is determined from the third map with the current state of charge SOCt at the present time t, the current It applied to the battery at the present time t and the temperature Tt of the battery at the present time t.

7. The method of claim 4, 5 or 6, wherein the initial step (110) of obtaining the first mapping further comprises: - Obtaining a fourth mapping of the diffusion time constant T diff depending on the state of charge SOC of the battery, the current I applied to the battery and the temperature Tt of the battery and in which: - the diffusion time constant T difftat the present time t is determined from the fourth map with the current state of charge SOCt at the present time t, the current It applied to the battery at the present time t and the battery temperature Tt at the present time t.

8. A method (100) according to any one of claims 4 to 7, wherein: - the first mapping of the open circuit voltage OCV is furthermore based on a SOH state of health of the battery, and / or - the second mapping of the simple resistance Ro is furthermore a function of the SOH state of health of the battery, and / or - the third mapping of the diffusion resistance Rdiff is furthermore a function of the SOH state of health of the battery, and / or - the fourth maps the diffusion time constant T diffis further dependent on the state of health SOH of the battery, and in which the state of health SOH of the battery is taken into account to determine (190) the maximum power Pmax of the battery.

9. Aircraft comprising an electric battery and an electric battery management system comprising an electronic processing and control system configured to execute the steps of the method (100) according to one of the preceding claims.

10. A computer program comprising instructions which, when the program is executed by a computer, cause the computer to implement a method according to any one of claims 1 to 8.

Citation Information

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