CN114744305A - Battery pack temperature prediction method and system - Google Patents

Battery pack temperature prediction method and system Download PDF

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Publication number
CN114744305A
CN114744305A CN202210431962.7A CN202210431962A CN114744305A CN 114744305 A CN114744305 A CN 114744305A CN 202210431962 A CN202210431962 A CN 202210431962A CN 114744305 A CN114744305 A CN 114744305A
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battery pack
temperature
energy
time
change rate
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冯礼鸿
蒋胜
沈向东
沈成宇
侯敏
曹辉
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Shanghai Ruipu Energy Co Ltd
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Shanghai Ruipu Energy Co Ltd
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    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H01M10/486—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for measuring temperature
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/4207—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/60—Heating or cooling; Temperature control
    • H01M10/62—Heating or cooling; Temperature control specially adapted for specific applications
    • H01M10/625—Vehicles
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/60—Heating or cooling; Temperature control
    • H01M10/63—Control systems
    • H01M10/633—Control systems characterised by algorithms, flow charts, software details or the like
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M2220/00—Batteries for particular applications
    • H01M2220/20—Batteries in motive systems, e.g. vehicle, ship, plane
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries

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  • Manufacturing & Machinery (AREA)
  • Chemical & Material Sciences (AREA)
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  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Automation & Control Theory (AREA)
  • Secondary Cells (AREA)

Abstract

The invention discloses a battery pack temperature prediction method and a system, which relate to the technical research field of batteries, and the method comprises the steps of collecting the temperature, the total current and the total voltage of a battery pack in real time, and calculating the total energy of the battery pack; determining an energy interval value according to the relationship between the temperature change of the vehicle battery pack and the charge and discharge energy of the battery pack; calculating the temperature change rate of the battery pack in a preset time period based on the integral multiple relation between the total energy of the battery pack and the energy interval value; calculating the future temperature change rate of the battery pack based on the calculated temperature change rate and combining a preset algorithm; and calculating the battery pack temperature at the set time in the future according to the battery temperature at the current time and the calculated future temperature change rate, so as to realize the temperature prediction of the battery pack. The method and the device realize the prediction of the battery pack temperature based on the data layer, simplify the prediction model, reduce the calculation amount and simultaneously ensure the accuracy of the battery pack temperature prediction.

Description

Battery pack temperature prediction method and system
Technical Field
The invention relates to the technical field of battery research, in particular to a battery pack temperature prediction method and system.
Background
Currently, the following methods are mainly adopted for predicting the temperature of the battery pack: (1) predicting a future temperature of the battery by coupling a battery heat generation mechanism with an ambient temperature; (2) measuring alternating current impedance of batteries in different charge states and different temperatures, acquiring an alternating current impedance spectrum to determine a frequency interval of an impedance phase angle in a full charge state, drawing an impedance phase angle change curve in the frequency interval at different temperatures, determining a characteristic phase angle, fitting a relation curve between the drawn characteristic phase angle and the temperatures, and predicting the temperature of the battery; (3) and determining key temperature parameters for temperature prediction by integrating multi-objective functions such as flux of lithium ion de-intercalation reaction, battery capacity attenuation, time of low-temperature heating and charging and the like in the charging and discharging process.
Although the temperature prediction method has high precision, the coupling factors are more, such as complicated change of the environmental temperature, need to acquire an alternating current impedance spectrum again when the battery material is replaced, difficult determination of the attenuation rule of the battery capacity and the like, so that the temperature prediction method is inconvenient for engineering application.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a battery pack temperature prediction method and a battery pack temperature prediction system, which can realize the prediction of the battery pack temperature based on a data layer, simplify a prediction model, reduce the calculation amount and simultaneously ensure the accuracy of the battery pack temperature prediction. .
In order to achieve the above object, the present invention provides a method for predicting battery pack temperature, which comprises the following steps:
collecting the temperature, the total current and the total voltage of the battery pack in real time, and calculating to obtain the total energy of the battery pack;
determining an energy interval value according to the relationship between the temperature change of the vehicle battery pack and the charge and discharge energy of the battery pack;
calculating the temperature change rate of the battery pack in a preset time period based on the integral multiple relation between the total energy and the energy interval value of the battery pack;
calculating the future temperature change rate of the battery pack based on the calculated temperature change rate and by combining a preset algorithm;
and calculating the battery pack temperature at the set time in the future according to the battery temperature at the current time and the calculated future temperature change rate, so as to realize the temperature prediction of the battery pack.
On the basis of the technical scheme, the method comprises the following steps of collecting the temperature, the total current and the total voltage of the battery pack in real time, and calculating the total energy of the battery pack, and comprises the following specific steps:
when a vehicle is started or charged, acquiring the temperature of a battery pack in real time through a temperature sensor, acquiring the total current of the battery pack in real time through a current sensor, and acquiring the total energy of the battery pack in real time through a voltage sensor;
and calculating the total energy of the battery pack based on the acquired temperature, total current and total voltage of the battery pack.
On the basis of the technical scheme, the specific way of calculating the total energy of the battery pack is as follows:
Figure BDA0003611104430000021
wherein E (t) represents the total energy of the battery pack, t0Indicates the initial time, i (t) indicates the total current of the battery pack at time t, and u (t) indicates the total voltage of the battery pack at time t.
On the basis of the technical scheme, the preset time is the time interval between the total energy of the two adjacent battery packs and the integral multiple of the energy interval value.
On the basis of the technical scheme, the temperature change rate of the battery pack in the preset time period is calculated based on the integral multiple relation between the total energy and the energy interval value of the battery pack, wherein the specific way of calculating the temperature change rate of the battery pack in the preset time period is as follows:
Figure BDA0003611104430000031
wherein, Delta TkRepresents a temperature change rate of the battery pack within a preset time period, T (T)pre,k) Represents the temperature of the battery pack when the total energy of the kth battery pack is an integral multiple of the energy interval value, T (T)pre,k-1) Indicates the temperature, t, of the battery pack when the total energy of the k-1 th time battery pack is an integral multiple of the energy interval valuepre,kRepresents the time when the total energy of the kth battery pack is an integral multiple of the energy interval value, tpre,k-1The time when the total energy of the battery pack at time k-1 is an integral multiple of the energy interval value is shown.
On the basis of the technical scheme, the future temperature change rate of the battery pack is obtained through calculation, and the specific calculation mode is as follows:
ΔTpre,k＝(1-wT)ΔTpre,k-1+wT·ΔTk
wherein, Delta Tpre,kRepresents a future temperature change rate, w, of the battery packTRepresents a weight value, Δ Tpre,k-1And (3) representing the temperature change rate of the battery pack when the total energy of the battery pack at the k-1 st time is integral multiple of the energy interval value.
On the basis of the above technical solution, the battery pack temperature at the future set time is calculated according to the battery temperature at the current time and the calculated future temperature change rate, wherein the specific manner of calculating the battery pack temperature at the future set time is as follows:
Tpre,k＝T(tpre,k)+ΔTpre,k·Δt
wherein, Tpre,kIndicates the battery pack temperature at the future set time, and Δ t indicates the time interval between the future set time and the current time.
On the basis of the technical scheme, when the total energy of the battery pack is smaller than the energy interval value, the battery pack temperature at the initial moment is used as the battery pack temperature at the future set moment.
The invention provides a battery pack temperature prediction system, comprising:
the acquisition module is used for acquiring the temperature, the total current and the total voltage of the battery pack in real time and calculating the total energy of the battery pack;
the determining module is used for determining an energy interval value according to the relation between the temperature change of the vehicle battery pack and the charge and discharge energy of the battery pack;
the first calculation module is used for calculating the temperature change rate of the battery pack in a preset time period based on the integral multiple relation between the total energy and the energy interval value of the battery pack;
the second calculation module is used for calculating the future temperature change rate of the battery pack based on the calculated temperature change rate and combining a preset algorithm;
and the prediction module is used for calculating the battery pack temperature at the set time in the future according to the battery temperature at the current time and the calculated future temperature change rate so as to realize the temperature prediction of the battery pack.
On the basis of the technical scheme, the acquisition module acquires the temperature of the battery pack in real time through the temperature sensor, acquires the total current of the battery pack in real time through the current sensor, and acquires the total energy of the battery pack in real time through the voltage sensor.
Compared with the prior art, the invention has the advantages that: the method comprises the steps of acquiring the temperature, the total current and the total voltage of a battery pack in real time, calculating the total energy of the battery pack, determining an energy interval value according to the relation between the temperature change of a vehicle and the charge and discharge energy of the battery pack, calculating the temperature change rate of the battery pack in a preset time period based on the integral multiple relation between the total energy and the energy interval value of the battery pack, calculating the future temperature change rate of the battery pack based on the calculated temperature change rate and a preset algorithm, calculating the battery pack temperature at the set time in the future according to the battery temperature at the current time and the calculated future temperature change rate, predicting the temperature of the battery pack based on a data layer, simplifying a prediction model, reducing the calculated amount and ensuring the accuracy of the temperature prediction of the battery pack.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a method for predicting a battery pack temperature according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a battery pack temperature prediction method, which acquires the temperature, the total current and the total voltage of a battery pack in real time and calculates the total energy of the battery pack, then determining an energy interval value according to the relationship between the temperature change of the vehicle and the charge and discharge energy of the battery pack, then calculating the temperature change rate of the battery pack in a preset time period based on the integral multiple relation between the total energy and the energy interval value of the battery pack, then calculating the future temperature change rate of the battery pack based on the calculated temperature change rate and combining a preset algorithm, and then, according to the battery temperature at the current moment and the future temperature change rate obtained by calculation, the battery pack temperature at the set moment in the future is obtained by calculation, so that the temperature prediction of the battery pack is realized, the prediction of the battery pack temperature is realized on the basis of a data layer, a prediction model is simplified, the calculation amount is less, and the accuracy of the battery pack temperature prediction is ensured. The embodiment of the invention also provides a battery pack temperature prediction system.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments.
The present invention will be described in further detail with reference to the accompanying drawings and examples.
Referring to fig. 1, a method for predicting a temperature of a battery pack according to an embodiment of the present invention includes the following steps:
s1: collecting the temperature, the total current and the total voltage of the battery pack in real time, and calculating to obtain the total energy of the battery pack; step S1 specifically includes:
s101: when a vehicle is started or charged, acquiring the temperature of a battery pack in real time through a temperature sensor, acquiring the total current of the battery pack in real time through a current sensor, and acquiring the total energy of the battery pack in real time through a voltage sensor;
s102: and calculating the total energy of the battery pack based on the acquired temperature, total current and total voltage of the battery pack.
In the embodiment of the invention, the specific way of calculating the total energy of the battery pack is as follows:
Figure BDA0003611104430000061
wherein E (t) represents the total energy of the battery pack, t0Indicates the initial time, i (t) indicates the total current of the battery pack at time t, and u (t) indicates the total voltage of the battery pack at time t.
Because the temperature of the battery is closely related to the charging and discharging power of the battery, and meanwhile, the power change in the driving process is large, the future temperature change rate of the battery pack is predicted directly according to the charging and discharging power of the battery, the result fluctuation is large, and the problem of inaccuracy exists, therefore, when a vehicle is started or charged, the temperature, the total current and the total voltage of the battery pack are acquired in real time, and then the total energy of the battery pack is calculated in real time based on a power integration method.
S2: determining an energy interval value according to the relationship between the temperature change of the vehicle battery pack and the charge and discharge energy of the battery pack;
in the embodiment of the invention, the energy interval value is an empirical value, the temperature change rate under different energy interval values is calculated according to real vehicle data, and the energy interval value can be selected within 0.5kWh and 20.5kWh in order to ensure that the temperature change rate can be updated in time while the temperature change rate fluctuates violently. Meanwhile, it should be noted that the smaller the energy interval value is, the more drastic the change of the temperature change rate is, and the larger the energy interval value is, the more stable the temperature change rate is.
S3: calculating the temperature change rate of the battery pack in a preset time period based on the integral multiple relation between the total energy and the energy interval value of the battery pack;
in the embodiment of the invention, the preset time is the time interval between the total energy of the two adjacent battery packs and the integral multiple of the energy interval value. Namely, when the total energy of the battery pack is calculated in real time, the current time is marked when the total energy of the battery pack obtained by calculation is an integral multiple of an energy interval value, and the preset time period refers to the interval between two adjacent marked times. In the embodiment of the invention, the total energy of the battery pack is an integral multiple of the energy interval value, and means that the total energy of the battery pack is an integral multiple of the energy interval value.
In the embodiment of the invention, the temperature change rate of the battery pack in the preset time period is calculated based on the integral multiple relation between the total energy and the energy interval value of the battery pack, wherein the specific way of calculating the temperature change rate of the battery pack in the preset time period is as follows:
Figure BDA0003611104430000071
wherein, Delta TkRepresents a temperature change rate of the battery pack within a preset time period, T (T)pre,k) Represents the temperature of the battery pack when the total energy of the kth battery pack is an integral multiple of the energy interval value, T (T)pre,k-1) Represents the temperature, t, of the battery pack when the total energy of the battery pack at the k-1 st time is integral multiple of the energy interval valuepre,kRepresents the time when the total energy of the kth battery pack is an integral multiple of the energy interval value, tpre,k-1The time when the total energy of the battery pack at time k-1 is an integral multiple of the energy interval value is shown.
S4: calculating the future temperature change rate of the battery pack based on the calculated temperature change rate and by combining a preset algorithm;
in the embodiment of the invention, the future temperature change rate of the battery pack is obtained by calculation, and the specific calculation mode is as follows:
ΔTpre,k＝(1-wT)ΔTpre,k-1+wT·ΔTk
wherein, Delta Tpre,kRepresents a future temperature change rate, w, of the battery packTRepresents a weight value, Δ Tpre,k-1And (3) representing the temperature change rate of the battery pack when the total energy of the battery pack at the k-1 st time is integral multiple of the energy interval value.
Namely, when the total energy of the battery pack at the kth time is obtained by calculation and is an integral multiple of the energy interval value, and the total energy of the battery pack at the kth-1 st time is an integral multiple of the energy interval value, after the temperature change rate of the battery pack in the current time period is obtained, the total energy of the battery pack at the kth time is taken as an integral multiple of the energy interval value, the time is the current time, and the temperature change rate of the battery pack after the current time, namely the future temperature change rate of the battery pack, is obtained by calculation by adopting the formula.
S5: and calculating the battery pack temperature at the set time in the future according to the battery temperature at the current time and the calculated future temperature change rate, so as to realize the temperature prediction of the battery pack. The method and the device can predict the future terminal voltage, the cut-off charge-discharge voltage and the cut-off charge-discharge SOC of the battery pack by combining the battery model and couple the prediction results to realize the prediction of the residual available energy of the battery pack by predicting the temperature of the battery pack, and can optimize the thermal management strategy of the battery based on the predicted temperature of the battery pack.
In the embodiment of the present invention, the battery pack temperature at the future set time is calculated according to the battery temperature at the current time and the calculated future temperature change rate, wherein the specific manner of calculating the battery pack temperature at the future set time is as follows:
Tpre,k＝T(tpre,k)+ΔTpre,k·Δt
wherein, Tpre,kIndicates the battery pack temperature at the set time in the future, and Δ t indicates the time interval between the set time in the future and the current time.
Namely, when the total energy of the battery pack at the kth time is calculated to be an integral multiple of the energy interval value, and the total energy of the battery pack at the kth-1 st time is an integral multiple of the energy interval value, after the battery pack temperature change rate in the current time period is obtained, the total energy of the battery pack at the kth time is taken as an integral multiple of the energy interval value, the time is the current time, the battery pack temperature change rate after the current time is calculated and obtained by adopting the step S4, then the battery pack temperature at a future set time after the current time is calculated and obtained by adopting the step S5, and the specific time point at the future set time can be flexibly determined according to needs.
By adopting the battery pack temperature prediction method, when a vehicle is started or charged, the total energy of the battery pack is calculated in real time, and when the total energy of the battery pack obtained by calculation is smaller than an energy interval value, the battery pack temperature at the initial moment is used as the battery pack temperature at the set moment in the future; when the total energy of the battery pack obtained by calculation is integral multiple of the energy interval value, recording the current moment, calculating the temperature change rate of the battery pack in the adjacent recorded moments, further calculating the future temperature change rate of the battery pack (which is equivalent to predicting the future temperature change rate of the battery pack), and then calculating the battery pack temperature at the set future moment according to the battery temperature at the current moment and the future temperature change rate obtained by calculation, so as to realize the temperature prediction of the battery pack.
The method predicts the temperature of the battery pack based on the data layer, simplifies a prediction model and reduces the calculated amount; the energy interval is used as a trigger condition, and the relation between the temperature change rate and the power is built in, so that the prediction of the temperature change rate is more reasonable; meanwhile, a proper weighting coefficient is set, the weight of the temperature change rate in the current interval and the weight of the temperature change rate predicted value at the last prediction time are reasonably distributed, and the accuracy of temperature prediction is improved.
The battery pack temperature prediction system provided by the embodiment of the invention comprises an acquisition module, a determination module, a first calculation module, a second calculation module and a prediction module.
The acquisition module is used for acquiring the temperature, the total current and the total voltage of the battery pack in real time and calculating the total energy of the battery pack; the determining module is used for determining an energy interval value according to the relationship between the temperature change of the vehicle battery pack and the charge and discharge energy of the battery pack; the first calculation module is used for calculating the temperature change rate of the battery pack in a preset time period based on the integral multiple relation between the total energy and the energy interval value of the battery pack; the second calculation module is used for calculating the future temperature change rate of the battery pack based on the calculated temperature change rate and combined with a preset algorithm; the prediction module is used for calculating the battery pack temperature at the set time in the future according to the battery temperature at the current time and the calculated future temperature change rate, so that the temperature prediction of the battery pack is realized.
In the embodiment of the invention, the acquisition module acquires the temperature of the battery pack in real time through the temperature sensor, acquires the total current of the battery pack in real time through the current sensor and acquires the total energy of the battery pack in real time through the voltage sensor.
The previous description is only an example of the present application, and is provided to enable any person skilled in the art to understand or implement the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Claims (10)

1. A method for predicting the temperature of a battery pack is characterized by comprising the following steps:
collecting the temperature, the total current and the total voltage of the battery pack in real time, and calculating to obtain the total energy of the battery pack;
determining an energy interval value according to the relationship between the temperature change of the vehicle battery pack and the charge and discharge energy of the battery pack;
calculating the temperature change rate of the battery pack in a preset time period based on the integral multiple relation between the total energy and the energy interval value of the battery pack;
calculating the future temperature change rate of the battery pack based on the calculated temperature change rate and combining a preset algorithm;
and calculating the battery pack temperature at the set time in the future according to the battery temperature at the current time and the calculated future temperature change rate, so as to realize the temperature prediction of the battery pack.
2. The method for predicting the temperature of the battery pack according to claim 1, wherein the steps of collecting the temperature, the total current and the total voltage of the battery pack in real time and calculating the total energy of the battery pack comprise:
when a vehicle is started or charged, acquiring the temperature of a battery pack in real time through a temperature sensor, acquiring the total current of the battery pack in real time through a current sensor, and acquiring the total energy of the battery pack in real time through a voltage sensor;
and calculating the total energy of the battery pack based on the acquired temperature, total current and total voltage of the battery pack.
3. The battery pack temperature prediction method according to claim 2, wherein the total energy of the battery pack is calculated by:
Figure FDA0003611104420000011
whereinE (t) represents the total energy of the battery, t0Indicates the initial time, i (t) indicates the total current of the battery pack at time t, and u (t) indicates the total voltage of the battery pack at time t.
4. A battery pack temperature prediction method as claimed in claim 1, wherein: the preset time is the time interval between the total energy of the two adjacent battery packs and the integral multiple of the energy interval value.
5. The method for predicting the temperature of the battery pack according to claim 4, wherein the temperature change rate of the battery pack in the preset time period is calculated based on an integral multiple relation between the total energy and the energy interval value of the battery pack, and the specific way of calculating the temperature change rate of the battery pack in the preset time period is as follows:
Figure FDA0003611104420000021
wherein, Delta TkRepresents a temperature change rate of the battery pack within a preset time period, T (T)pre,k) Indicates the temperature of the battery, T (T), when the total energy of the kth battery is an integral multiple of the energy interval valuepre,k-1) Indicates the temperature, t, of the battery pack when the total energy of the k-1 th time battery pack is an integral multiple of the energy interval valuepre,kRepresents the time when the total energy of the kth battery pack is an integral multiple of the energy interval value, tpre,k-1The time when the total energy of the battery pack at time k-1 is an integral multiple of the energy interval value is shown.
6. The method for predicting the temperature of the battery pack according to claim 5, wherein the future temperature change rate of the battery pack is obtained by calculating in a manner that:
ΔTpre,k＝(1-wT)ΔTpre,k-1+wT·ΔTk
wherein, Δ Tpre,kRepresents a future temperature change rate, w, of the battery packTExpress rightWeight value, Δ Tpre,k-1The temperature change rate of the battery pack when the total energy of the k-1 th time battery pack is integral multiple of the energy interval value is shown.
7. The battery pack temperature prediction method according to claim 6, wherein the battery pack temperature at the future set time is calculated according to the battery temperature at the current time and the calculated future temperature change rate, and wherein the battery pack temperature at the future set time is calculated by:
Tpre,k＝T(tpre,k)+ΔTpre,k·Δt
wherein, Tpre,kIndicates the battery pack temperature at the future set time, and Δ t indicates the time interval between the future set time and the current time.
8. The battery pack temperature prediction method of claim 1, wherein when the total energy of the battery pack is smaller than the energy interval value, the battery pack temperature at the initial time is used as the battery pack temperature at the set time in the future.
9. A battery pack temperature prediction system, comprising:
the acquisition module is used for acquiring the temperature, the total current and the total voltage of the battery pack in real time and calculating the total energy of the battery pack;
the determining module is used for determining an energy interval value according to the relation between the temperature change of the vehicle battery pack and the charge and discharge energy of the battery pack;
the first calculation module is used for calculating the temperature change rate of the battery pack in a preset time period based on the integral multiple relation between the total energy and the energy interval value of the battery pack;
the second calculation module is used for calculating the future temperature change rate of the battery pack based on the calculated temperature change rate and combining a preset algorithm;
and the prediction module is used for calculating the battery pack temperature at the set time in the future according to the battery temperature at the current time and the calculated future temperature change rate so as to realize the temperature prediction of the battery pack.
10. The battery pack temperature prediction system of claim 9, wherein the collection module collects the temperature of the battery pack in real time via a temperature sensor, collects the total current of the battery pack in real time via a current sensor, and collects the total energy of the battery pack in real time via a voltage sensor.
CN202210431962.7A 2022-04-22 2022-04-22 Battery pack temperature prediction method and system Pending CN114744305A (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117388732A (en) * 2023-07-07 2024-01-12 江苏华翊成电气科技有限公司 High-power density direct-current power supply safety monitoring method and system

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