Lithium ion battery temperature prediction alarm method and system based on ship navigation characteristics

Abstract

The invention discloses a lithium ion battery temperature prediction alarm method and system based on ship navigation characteristics. The system comprises a battery parameter monitoring module, a temperature prediction module and an alarm generation module. The battery parameter monitoring module and the temperature prediction module are connected with the alarm generation module; wherein the temperature prediction module comprises a data acquisition unit, a storage unit, a battery impedance signal measurement unit and a signal processing unit; the battery parameter monitoring module comprises a data acquisition device and a comparison device; the storage unit is connected into the database and comprises an optimal excitation current frequency library corresponding to different parameters and a temperature-impedance function library corresponding to different current excitation frequencies, the storage unit is connected with the signal processing unit, and the signal processing unit calls data and functions from the storage unit. By adopting the technical scheme of the invention, the precision of battery temperature measurement in a complex ship environment is improved, an alarm is given in time, early warning is enhanced, and the ship safety is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of ship battery temperature prediction, and particularly relates to a lithium-ion battery temperature prediction and alarm method and system based on ship navigation characteristics. Background Art

[0002] In recent years, with the increasingly prominent environmental problems, the trend of using new energy to replace traditional energy has gradually been reflected in ships. At present, the number of large pure battery-powered ships is small because users pay more and more attention to the battery safety of ships. However, the traditional battery temperature measurement technology is not applicable to the complex environment of ships, and cannot accurately predict the internal temperature of ship batteries, nor can it issue an alarm in time, thus reducing the safety of this type of ship.

[0003] When a ship sails at sea, the environmental temperature where the lithium-ion battery is located, the electrical load of the ship, the vibration of the ship itself, etc. will increase the difficulty of predicting the internal temperature of the lithium-ion battery. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a lithium-ion battery temperature prediction and alarm method and system based on ship navigation characteristics.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] A lithium-ion battery temperature prediction and alarm method based on ship navigation characteristics, comprising:

[0007] S1. Monitor the surface temperature T of the lithium-ion battery carried on the ship surf and the real-time current I(t) in the power consumption circuit. If T surf ship is greater than the set temperature, or the time when I(t) is greater than the set current exceeds the set time, then start the battery temperature prediction and alarm process;

[0008] S2. Collect real-time environmental parameters and working condition parameters, including environmental temperature, battery surface temperature, battery working environment humidity, ship inclination degree, ship electrical load and other parameters, and establish a decision parameter set x i ;

[0009] S3. Input x i into the signal processing unit, and output the optimal current excitation frequency f(x i ) corresponding to each decision parameter based on the database in the storage unit. After comprehensively considering each decision parameter, output the optimal current excitation frequency f under the real-time working condition b , and substitute it into the temperature-impedance function library corresponding to different current excitation frequencies to obtain the temperature-impedance function F(f b , Z) under this working condition;

[0010] S4, f b As the excitation current signal frequency, the lithium-ion battery impedance Z(f b ) is measured and the measured Z(f b ) input signal processing unit, substitute into F(f b ,Z), obtain the predicted temperature T inside the battery in ;

[0011] S5. After each time period, the signal processing unit will in The calculated temperature rise parameter ε is input into the alarm generating unit once, and a corresponding alarm is issued or the alarm is canceled according to the difference in the signal and the battery temperature prediction alarm process is terminated.

[0012] As an optimization, the decision parameters are:

[0013] x=(T surf ,T env ,D,W)

[0014] D=(P,O,S)

[0015] P=(a1,a2,a3…a m )m=1,2,…M

[0016] O=(p1,p2,p3…p m )m=1,2,…M

[0017] S=(q1,q2,q3…q m )m=1,2,…M

[0018] Among them, x is the decision parameter, T surf is the battery surface temperature, T env is the ambient temperature, D is the operating parameter set, W is the humidity, P is the ship's pitch angle, O is the ship's roll angle, S is the battery charge state, and M is the maximum number of parameters selected.

[0019] The present invention also provides a lithium-ion battery temperature prediction and alarm system based on ship navigation characteristics, which is characterized in that it includes: a battery parameter monitoring module, a temperature prediction module and an alarm generation module; the battery parameter monitoring module and the temperature prediction module are connected to the alarm generation module; wherein the temperature prediction module includes: a data acquisition unit, a storage unit, a battery impedance signal measurement unit and a signal processing unit; the battery parameter monitoring module includes: a data acquisition device and a comparison device; the storage unit is connected to a database, which includes an optimal excitation current frequency library corresponding to different parameters, and a temperature-impedance function library corresponding to different current excitation frequencies; the storage unit is connected to a signal processing unit, and the signal processing unit calls data and functions from it.

[0020] As a preference, the battery parameter monitoring module is used to monitor the surface temperature T of the lithium-ion battery carried by the ship. surf And the real-time current I(t) in the power circuit is monitored; wherein, the data acquisition device is used to collect real-time environmental parameters and working condition parameters, including ambient temperature, battery surface temperature, battery working environment humidity, ship inclination, ship power load and other parameters; the comparison device is used to compare if T surf If the temperature is greater than the set temperature, or I(t) is greater than the set current for more than the set time, the battery temperature prediction alarm process is started.

[0021] As a preference, the data acquisition unit establishes a decision parameter set x based on real-time environmental parameters and working condition parameters. i , and x i Input to the signal processing unit, and output the optimal current excitation frequency f(x i ), after comprehensively considering all decision parameters, the optimal current excitation frequency f under real-time working conditions is output b , substitute the temperature-impedance function library corresponding to different current excitation frequencies to obtain the temperature-impedance function F(f b ,Z).

[0022] As an example, the battery impedance signal measuring unit is used to measure f b As the excitation current signal frequency, the lithium-ion battery impedance Z(f b ) is measured and the measured Z(f b ) input signal processing unit, substitute into F(f b ,Z), obtain the predicted temperature T inside the battery in .

[0023] As an example, the signal processing unit is used to set T in The calculated temperature rise parameter ε is input into the alarm generating unit once, and a corresponding alarm is issued or the alarm is canceled according to the difference in the signal and the battery temperature prediction alarm process is terminated.

[0024] By adopting the technical solution of the present invention, the accuracy of battery temperature measurement in the complex environment of a ship is improved, and an alarm is issued in time, thereby strengthening early warning and improving ship safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0026] Figure 1 Schematic diagram of the temperature prediction and alarm method for lithium-ion batteries based on the ship navigation characteristics of the present invention;

[0027] Figure 2 Schematic diagram of the determination method of the temperature-impedance relationship function of the present invention;

[0028] Figure 3 Schematic diagram of the temperature prediction and alarm system for lithium-ion batteries based on the ship navigation characteristics of the present invention. Detailed implementation manners

[0029] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0030] To make the above objects, features, and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific implementation manners.

[0031] Embodiment 1:

[0032] As Figure 1 , 2 shown, a temperature prediction and alarm method for lithium-ion batteries based on the ship navigation characteristics in an embodiment of the present invention includes:

[0033] S1. Using the battery parameter monitoring module, monitor the surface temperature T of the lithium-ion battery carried on the ship surf and the real-time current I(t) in the power consumption circuit. If T surf ship is greater than the set temperature, or the time when I(t) is greater than the set current exceeds the set time, then start the battery temperature prediction and alarm process;

[0034] S2. At the beginning of the process, the data acquisition unit collects real-time environmental parameters and working condition parameters, including environmental temperature, battery surface temperature, battery working environment humidity, ship inclination degree, ship power consumption load and other parameters, and establishes a decision parameter set x i ;

[0035] S3. The data acquisition unit inputs x i to the signal processing unit, and outputs the optimal current excitation frequency f(x i ) corresponding to each decision parameter based on the database in the storage unit, and outputs the optimal current excitation frequency f under the real-time working condition after comprehensively considering each decision parameter b, substitute the temperature-impedance function library corresponding to different current excitation frequencies to obtain the temperature-impedance function F(f b ,Z);

[0036] S4, the battery impedance signal measurement unit will f b As the excitation current signal frequency, the lithium-ion battery impedance Z(f b ) is measured and the measured Z(f b ) input signal processing unit, substitute into F(f b ,Z), obtain the predicted internal temperature of the battery T in ;

[0037] S5. After each time period, the signal processing unit will in The calculated temperature rise parameter ε is input into the alarm generating unit once, and a corresponding alarm is issued or the alarm is canceled according to the difference in the signal and the battery temperature prediction alarm process is terminated.

[0038] As an implementation method of an embodiment of the present invention, the data acquisition unit collects real-time environmental parameters and operating parameters of the ship during navigation, including parameters such as ambient temperature, battery surface temperature, battery operating environment humidity, ship inclination, and ship power load, and uses these to establish a decision parameter set, where the decision parameters are:

[0039] x=(T surf ,T env ,D,W)

[0040] D=(P,O,S)

[0041] P=(a1,a2,a3…a m )m=1,2,…M

[0042] O=(p1,p2,p3…p m )m=1,2,…M

[0043] S=(q1,q2,q3…q m )m=1,2,…M

[0044] Among them, x is the decision parameter, T surf is the battery surface temperature, T env is the ambient temperature, D is the working condition parameter set, W is the humidity, P is the ship's pitch angle, O is the ship's roll angle, S is the battery charge state, and M is the maximum number of parameters selected;

[0045] As an implementation manner of an embodiment of the present invention, a library of the optimal current excitation frequencies corresponding to different parameters is established. For different decision-making parameters, the dependence of the battery impedance on temperature and different decision-making parameters is evaluated, the frequency range in which the internal temperature of the battery has a low dependence on its parameters is determined, and then, according to the sensitivity of the battery impedance to temperature at different current excitation frequencies within this frequency range, the current excitation frequency at which the battery impedance shows a strong dependence on temperature is selected, which is the current excitation frequency least affected by the corresponding decision-making parameter. The optimal excitation frequencies of different decision-making parameters are recorded to form a decision-making parameter - optimal current excitation frequency library. The optimal current excitation frequencies corresponding to all decision-making parameters are comprehensively calculated to obtain the optimal current excitation frequency under real-time working conditions. The calculation formula for the optimal current excitation frequency is:

[0046]

[0047] Among them, f b is the optimal current excitation frequency, x i is the i-th decision-making parameter, f(x i ) is the current excitation frequency least affected by the corresponding decision-making parameter, and N is the total number of selected decision-making parameters;

[0048] As an implementation manner of an embodiment of the present invention, a temperature-impedance function library corresponding to different current excitation frequencies is established. At each current excitation frequency, the impedance data at different temperatures are recorded and fitted using functions such as quadratic polynomials to establish the corresponding temperature-impedance function, and they are integrated to form the temperature-impedance function library F(f x ,Z) corresponding to different current excitation frequencies. As shown in Figure 3 , according to the optimal current excitation frequency under the real-time working conditions of the ship, the corresponding temperature-impedance function is selected, and the battery impedance value obtained by the battery impedance signal measurement unit is substituted into the temperature-impedance function to obtain the predicted temperature inside the lithium-ion battery. The calculation method for the predicted temperature inside the lithium-ion battery is:

[0049] T in = F[(f b ,Z(f b )]

[0050] Among them, f b is the optimal excitation frequency, T in is the predicted temperature inside the lithium-ion battery, and F[(f b ,Z(f b )] is the temperature-impedance function corresponding to the optimal excitation frequency,

[0051] The calculation method for the battery impedance value is:

[0052]

[0053] Among them, Z(f b ) is the impedance value, is the phase angle, I0 is the excitation current, U0 is the response voltage, Z Re is the real impedance, Z Im is the imaginary impedance;

[0054] As an implementation method of an embodiment of the present invention, the signal processing unit sets a temperature rise parameter based on the real-time current of the ship in different time periods, determines the ship's power load, and thereby evaluates the temperature rise of the measured battery. The temperature rise parameter calculation formula is:

[0055]

[0056] Among them, ε is the temperature rise parameter, I(t) is the real-time current, Z Re is the real impedance, t n is the time interval, m is the number of time groups;

[0057] As an implementation method of an embodiment of the present invention, the obtained predicted internal temperature and temperature rise coefficient of the battery are input into the alarm generation module, and the judgment device determines whether to cancel the alarm, or issues an over-temperature warning, a rapid temperature rise warning, or a long-term temperature rise warning based on whether the critical temperature is exceeded, whether the critical temperature rise coefficient is exceeded, and whether the critical temperature rise time is exceeded. The judgment method is as follows:

[0058]

[0059] Where T0 is the critical temperature, ε0 is the critical temperature rise parameter; t is the temperature rise time, t0 is the critical temperature rise time, τ1 is the signal to release the alarm and terminate the battery temperature prediction alarm process, and τ2 is the signal to issue an alarm and classify the battery temperature.

[0060] Alerts are categorized as follows:

[0061]

[0062] Among them, a1 is the alarm signal for over-temperature, a2 is the alarm signal for rapid temperature rise, and a3 is the alarm signal for long-term temperature rise.

[0063] Example 2:

[0064] like Figure 3As shown in the figure, an embodiment of the present invention further provides a lithium-ion battery temperature prediction and alarm system based on ship navigation characteristics, including: a battery parameter monitoring module, a temperature prediction module, and an alarm generation module. The battery parameter monitoring module and the temperature prediction module are connected to the alarm generation module, and the alarm generation module is also connected to a judgment device; among them, the temperature prediction module includes a data acquisition unit, a storage unit, a battery impedance signal measurement unit, and a signal processing unit; the battery parameter monitoring module includes a data acquisition device and a comparison device; the storage unit is connected to a database, which includes a library of optimal excitation current frequencies corresponding to different parameters, and a temperature-impedance function library corresponding to different current excitation frequencies. The storage unit is connected to the signal processing unit, and the signal processing unit calls data and functions from it.

[0065] As an implementation manner of an embodiment of the present invention, the battery parameter monitoring module is used to monitor the surface temperature T of the lithium-ion battery carried on the ship surf and the real-time current I(t) in the power consumption circuit; among them, the data acquisition device is used to collect real-time environmental parameters and working condition parameters, including parameters such as environmental temperature, battery surface temperature, battery working environment humidity, ship inclination degree, ship power consumption load, etc.; the comparison device is used to start the battery temperature prediction and alarm process if T surf of the ship is greater than the set temperature, or the time when I(t) is greater than the set current exceeds the set time.

[0066] As an implementation manner of an embodiment of the present invention, the data acquisition unit establishes a decision parameter set x according to the real-time environmental parameters and working condition parameters i , and at the same time inputs x i to the signal processing unit, and outputs the optimal current excitation frequency f(x i ) corresponding to each decision parameter based on the database in the storage unit. After comprehensively considering each decision parameter, the optimal current excitation frequency f under the real-time working condition is output b , and substituting it into the temperature-impedance function library corresponding to different current excitation frequencies to obtain the temperature-impedance function F(f b ,Z) under this working condition.

[0067] As an implementation manner of an embodiment of the present invention, the battery impedance signal measurement unit is used to use f b as the excitation current signal frequency to measure the impedance Z(f b ) of the lithium-ion battery, input the measured Z(f b ) to the signal processing unit, and substitute it into F(f b ,Z) to obtain the predicted temperature T inside the battery in .

[0068] As an implementation manner of an embodiment of the present invention, the signal processing unit is used to, every time a time period passes, make T inThe calculated temperature rise parameter ε is input into the alarm generating unit once, and a corresponding alarm is issued or the alarm is canceled according to the difference in the signal and the battery temperature prediction alarm process is terminated.

[0069] The embodiments described above are merely descriptions of preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Without departing from the spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by persons skilled in the art should fall within the scope of protection defined by the claims of the present invention.

Claims

1. A method for predicting and alarming the temperature of a lithium-ion battery based on the navigation characteristics of a ship, characterized in that, Including: S1. Monitor the surface temperature T of the lithium-ion battery carried on the ship surf and the real-time current I(t) in the power consumption circuit. If T surf is greater than the set temperature, or the time when I(t) is greater than the set current exceeds the set time, then start the battery temperature prediction and alarm process; S2. Collect real-time environmental parameters and operating conditions parameters, including environmental temperature, battery surface temperature, humidity of the battery operating environment, ship inclination degree, ship electrical load and other parameters, and establish a decision parameter set x based on these parameters i ; S3. Input x i to the signal processing unit, and output the optimal current excitation frequency f(x i ) corresponding to each decision parameter based on the database in the storage unit. After comprehensively considering each decision parameter, output the optimal current excitation frequency f b under the real-time working condition. Substitute it into the temperature-impedance function library corresponding to different current excitation frequencies to obtain the temperature-impedance function F(f b , Z); S4. Take f b as the frequency of the excitation current signal, measure the impedance Z(f b ) of the lithium-ion battery, input the measured Z(f b ) into the signal processing unit, substitute it into F(f b , Z), and obtain the predicted internal temperature T in ; S5. After each time period, the signal processing unit will in The calculated temperature rise parameter ε is input into the alarm generating unit once, and a corresponding alarm is issued or the alarm is canceled according to the difference in the signal and the battery temperature prediction alarm process is terminated.

2. The method for predicting and alarming the temperature of a lithium-ion battery based on the ship navigation characteristics according to claim 1, wherein, The decision parameters are: x = (T surf , T env , D, W) D = (P, O, S) P = (a1, a2, a3…a m ) m = 1, 2, … M O = (p1, p2, p3…p m ) m = 1, 2, …M S = (q1, q2, q3…q m ) m = 1, 2, …M where x is the decision parameter, T surf is the battery surface temperature, T env is the ambient temperature, D is the set of operating condition parameters, W is the humidity, P is the longitudinal inclination of the ship, O is the transverse inclination of the ship, S is the state of charge of the battery, and M is the maximum number of parameter selections.

3. A lithium-ion battery temperature prediction and alarm system based on ship navigation characteristics, characterized in that, Including: A battery parameter monitoring module, a temperature prediction module, and an alarm generation module; The battery parameter monitoring module and the temperature prediction module are connected to the alarm generation module; among them, the temperature prediction module includes: a data acquisition unit, a storage unit, a battery impedance signal measurement unit, and a signal processing unit; the battery parameter monitoring module includes: a data acquisition device and a comparison device; the storage unit is connected to the database, which includes a library of the optimal excitation current frequencies corresponding to different parameters, and a temperature-impedance function library corresponding to different current excitation frequencies. The storage unit is connected to the signal processing unit, and the signal processing unit calls data and functions from it.

4. The lithium-ion battery temperature prediction and alarm system based on ship navigation characteristics according to claim 3, wherein The battery parameter monitoring module is used to monitor the surface temperature T of the lithium-ion battery carried on the ship surf and the real-time current I(t) in the power consumption circuit; among them, the data acquisition device is used to collect real-time environmental parameters and working condition parameters, including environmental temperature, battery surface temperature, battery working environment humidity, ship inclination degree, ship power consumption load and other parameters; the comparison device is used to start the battery temperature prediction alarm process if T surf is greater than the set temperature of the ship, or the time when I(t) is greater than the set current exceeds the set time.

5. The lithium-ion battery temperature prediction and alarm system based on ship navigation characteristics according to claim 4, characterized in that The data acquisition unit establishes a decision parameter set x based on real-time environmental parameters and operating conditions parameters i , and at the same time inputs x i to the signal processing unit, and outputs the optimal current excitation frequency f(x i ) corresponding to each decision parameter relying on the database in the storage unit. After comprehensively considering each decision parameter, the optimal current excitation frequency f b under the real-time operating conditions is output, and is substituted into the temperature-impedance function library corresponding to different current excitation frequencies to obtain the temperature-impedance function F(f b , Z) under this operating condition.

6. The lithium-ion battery temperature prediction and alarm system based on ship navigation characteristics according to claim 5, wherein The battery impedance signal measurement unit is used to take f b as the excitation current signal frequency and measure the impedance Z(f b ) of the lithium-ion battery. The measured Z(f b ) is input into the signal processing unit and substituted into F(f b , Z) to obtain the predicted internal temperature T in .

7. The lithium-ion battery temperature prediction and alarm system based on ship navigation characteristics according to claim 6, characterized in that, The signal processing unit is used to convert T in The calculated temperature rise parameter ε is input into the alarm generating unit once, and a corresponding alarm is issued or the alarm is canceled according to the difference in the signal and the battery temperature prediction alarm process is terminated.

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