Battery safety monitoring and early warning system of electric yacht

Abstract

The invention discloses a battery safety monitoring and early warning system of an electric yacht, which relates to the technical field of battery safety monitoring and comprises an environment monitoring module, a battery monitoring module, a processing module and a database, the database comprises battery information corresponding to yacht models, a battery safety mapping table and temperature adjusting parameters of yacht batteries under different water temperatures and solar radiation intensities; the battery monitoring module comprises a battery temperature monitoring unit, a battery state monitoring unit and a transmission unit; the battery temperature monitoring unit is used for monitoring the actual temperature Tb of the yacht battery; and the battery state monitoring unit is used for monitoring battery working data of the yacht battery. Based on the use environment of the yacht, the working state of the battery is combined with various environments, the safety of the yacht battery is quantified, the system can conveniently carry out corresponding treatment on the yacht battery, the safety of the battery is improved, and the service life of the battery is effectively prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of battery safety monitoring, and in particular to a battery safety monitoring and early warning system for an electric yacht. Background Art

[0002] In modern electric ships and autonomous vessels, the reliability and safety of the battery system are critical to continuous operation; especially for yachts, which operate in marine environments and are often subject to strong vibrations caused by factors such as sea conditions, engine operation, and ship activities. These vibrations may cause instability in the battery system, affect its output current, and ultimately reduce the battery's service life and working efficiency. Therefore, safety monitoring of the battery during the yacht's operation is one of the research and development directions.

[0003] After searching, a Chinese patent (publication number: CN115439999A) discloses a battery safety alarm system and a battery replacement method for an electric yacht. The patent includes a safety management center, which is connected to the alarm module and the yacht main control center through the Internet. The yacht main control center is connected to each cabin monitoring module, the power compartment module, the outboard monitoring module, and the navigation positioning module. The cabin monitoring module includes a camera and a smoke alarm; the power compartment module includes a battery power detection module, a battery temperature detection module, a battery contact detection module, a battery charge and discharge detection module, and a battery replacement power module; the outboard monitoring module includes a wind monitoring module and a turbulence monitoring module.

[0004] When monitoring the battery safety of a yacht, since its use environment is in the ocean, and the traditional battery monitoring system mainly focuses on the static parameters of the battery, such as temperature, voltage and power, but is usually unable to dynamically evaluate the impact of the external environment (such as vibration) on the battery performance. Therefore, how to use innovative technologies to monitor the stability of the battery under the influence of external vibration in real time and take immediate adjustment measures to ensure the best performance of the battery during operation has become an urgent problem to be solved. The present invention proposes a battery safety monitoring and early warning system for an electric yacht. Summary of the invention

[0005] The purpose of the present invention is to provide a battery safety monitoring and early warning system for an electric yacht to solve the problems mentioned in the above background technology.

[0006] The present invention can be implemented by the following technical solutions: A battery safety monitoring and early warning system for an electric yacht, comprising an environment monitoring module, a battery monitoring module, a processing module and a database;

[0007] The database includes battery information and a battery safety mapping table corresponding to the yacht model, the battery information includes the maximum current output data and the nominal voltage data of the battery, and the database establishes temperature adjustment parameters for the yacht battery by water temperature and solar radiation based on the historical records of the corresponding yacht model;

[0008] The battery safety mapping table associates the battery safety index with the safety level and the corresponding treatment method;

[0009] The battery monitoring module includes a battery temperature monitoring unit, a battery status monitoring unit and a transmission unit;

[0010] The battery temperature monitoring unit is used to monitor the actual temperature of the yacht battery;

[0011] The battery status monitoring unit is used to monitor the battery operating data of the yacht battery, and the battery operating data includes current output data, remaining power data and voltage data;

[0012] The transmission unit is used to receive the actual temperature and battery operating data of the yacht battery in real time, and upload the actual temperature and battery operating data to the processing module after adding a timestamp to them;

[0013] The environmental monitoring module is used to obtain the real-time environmental data of the yacht, which includes real-time water temperature, real-time sunlight radiation intensity, yacht vibration data and yacht speed data, and the environmental monitoring module adds a timestamp to the real-time environmental data and uploads it to the processing module;

[0014] The processing module retrieves the corresponding temperature adjustment parameters from the database based on the real-time environmental data, and obtains the battery safety index S through calculation using the formula:

[0015]

[0016] Where S is the battery safety index, which is used to evaluate the safety of the battery; T b is the actual temperature of the battery; is the average speed data of the yacht in the corresponding time window T; Q is the temperature adjustment parameter corresponding to the real-time water temperature and real-time sunlight radiation intensity; I out is the current output data, V is the voltage data; A is the yacht vibration data; k1 is the influence coefficient of the yacht speed data, which measures the influence of the yacht speed on the battery temperature; k2 is the weight coefficient of the current-voltage relationship, which is used to adjust its influence on battery safety; α is the influence index of the current output, and the risk of the battery increases when the current is too large; β is the vibration influence coefficient, moderate vibration helps to dissipate heat, which is a positive influence, and excessive vibration may affect the internal connection of the battery, increase the internal resistance or affect the monitoring accuracy of the system, which is a negative influence;

[0017] And when the processing module is calculating, it removes the unit and takes the value;

[0018] The processing module matches the battery safety index S with a preset battery safety mapping table to obtain a corresponding battery safety level and a processing method.

[0019] The further technical improvement of the present invention is that the average speed of the yacht The methods for obtaining include:

[0020] A1. The processing module sets a time window T and continuously collects yacht speed data, and the new yacht speed data replaces the oldest yacht speed data in the time window T;

[0021] A2, the processing module sorts the yacht speed data within the time window T, and removes extreme values ​​according to preset rules, that is, removes the maximum and minimum values ​​of the yacht speed data;

[0022] A3. The processing module calculates the mean of the remaining yacht speed data within the time window T as the average yacht speed of the corresponding timestamp

[0023] A further technical improvement of the present invention is that the method for obtaining the temperature adjustment parameter comprises the following steps:

[0024] S1. Record the standard temperature of the battery under standard working conditions as the reference temperature T b ;

[0025] S2. Set different water temperatures T s and solar radiation intensity F, simulating the working conditions of yachts in different environments;

[0026] For different water temperatures T s and solar radiation intensity F, record the actual operating temperature of the battery in this environment, denoted as T a (T s ,F,t), t is the corresponding water temperature T s and the duration of solar radiation intensity F;

[0027] S3, record the battery at different water temperatures T multiple times s and the actual operating temperature T of the solar radiation intensity F a (T s ,F,t), and during the duration, the battery remains in the standard working state;

[0028] Finally, take multiple actual working temperatures T a (T s ,F,t) and the battery reference temperature T b The difference between

[0029] S4. Use regression analysis or data fitting method to establish a model of temperature regulation parameter Q, and calculate water temperature T by combining time factor t. s and the effect of solar radiation intensity F on battery temperature;

[0030] Q=z1·T s +z2·F+z3·t;

[0031] In the formula, z1 and z2 are coefficients obtained based on experimental data, which represent the direct effects of water temperature and solar radiation on battery temperature; z3 is the coefficient of influence of time factor on temperature change, which represents the regulating effect of temperature changing with time;

[0032] S5. Conduct tests under different water temperatures, solar radiation and time conditions in the laboratory to calibrate the parameters of the temperature regulation parameter Q to improve the accuracy of the temperature regulation parameter Q.

[0033] A further technical improvement of the present invention is that the method for obtaining the vibration influence coefficient β comprises the following steps:

[0034] Y1. The processing module sets multiple vibration intensity intervals, and each vibration intensity interval corresponds to a different value of the vibration influence coefficient β;

[0035] And the vibration influence coefficient β value of each vibration intensity interval is obtained through laboratory testing;

[0036] Y2, the processing module sets a time window D, and continuously collects vibration data within the time window D through the corresponding sensor;

[0037] Y3. The processing module matches the vibration data with the highest value collected in the time window D with each vibration intensity interval to obtain the value of the vibration influence coefficient β of the corresponding vibration intensity interval.

[0038] A further technical improvement of the present invention is that the processing module corrects the collected vibration data based on the service life, vibration frequency and vibration duration of the yacht battery, and the correction formula is:

[0039] A x =A y ·(1+ω1·T age )·(1+ω2·T vt )·(1+ω3·f v );

[0040] In the formula, A y is the original vibration data, collected in real time by the sensor; T age T is the service life of the yacht battery; vt is the duration of vibration, which depends on the frequency used; fv is the vibration frequency;

[0041] ω1, ω2 and ω3 are correction coefficients, which represent the degree of correction of the corresponding factors on the vibration data, and are obtained through experiments.

[0042] A further technical improvement of the present invention is that: the processing module monitors the vibration time and vibration frequency of the yacht in real time during the driving process through corresponding sensors;

[0043] At the same time, the processing module collects the current output data in the current working state in real time, and quantifies the stability of the battery output by calculating the standard deviation of the current fluctuation. The processing module also determines the time and frequency of battery fluctuations based on the stability of the battery output;

[0044] The processing module compares the time and frequency of the battery fluctuation with the vibration time and frequency of the yacht during driving to determine whether there is a correlation between them;

[0045] If the changes in battery current fluctuations match the time and frequency of vibration, it means that the vibration has affected the stability of the battery;

[0046] If the battery is unstable, the processing module issues a warning based on the judgment result.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] Based on the use environment of the yacht, the present invention combines the working state of the battery with a variety of environments to quantify the safety of the yacht battery, so as to facilitate the system to handle the yacht battery in a corresponding manner. This temperature adjustment mechanism based on real-time environmental data not only improves the safety of the battery, but also effectively extends the service life of the battery, avoiding damage to the battery caused by excessively high or low temperatures;

[0049] In addition, by continuously monitoring the battery output current fluctuation and comparing it with the yacht vibration data, the system can immediately detect the instability caused by external vibration, and by analyzing the correlation between battery fluctuation and yacht vibration frequency, it can predict the performance fluctuation or failure of the battery in advance. When abnormal patterns of battery fluctuation and vibration are detected, the system will immediately issue an alarm and automatically take protective measures to prevent potential damage to the battery system and ensure the reliability of the battery in operation;

[0050] On the other hand, the monitoring capability of the present invention enables it to perform predictive maintenance and issue early warnings before problems develop into major failures. The proactive management approach reduces unexpected downtime and maintenance costs and improves the overall operational efficiency of the yacht. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0052] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0053] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0054] Example 1

[0055] See also Figure 1 As shown, the present invention provides a battery safety monitoring and early warning system for an electric yacht, including an environment monitoring module, a battery monitoring module, a processing module and a database;

[0056] The database includes battery information and a battery safety mapping table corresponding to the yacht model, the battery information includes the maximum current output data and the nominal voltage data of the battery, and the database establishes temperature adjustment parameters for the yacht battery by water temperature and solar radiation based on the historical records of the corresponding yacht model;

[0057] The battery safety mapping table associates the battery safety index with the safety level and the corresponding treatment method;

[0058] The battery monitoring module includes a battery temperature monitoring unit, a battery status monitoring unit and a transmission unit;

[0059] The battery temperature monitoring unit is used to monitor the actual temperature of the yacht battery;

[0060] The battery status monitoring unit is used to monitor the battery operating data of the yacht battery, and the battery operating data includes current output data, remaining power data and voltage data;

[0061] The transmission unit is used to receive the actual temperature and battery operating data of the yacht battery in real time, and upload the actual temperature and battery operating data to the processing module after adding a timestamp to them;

[0062] The environmental monitoring module is used to obtain the real-time environmental data of the yacht, which includes real-time water temperature, real-time sunlight radiation intensity, yacht vibration data and yacht speed data, and the environmental monitoring module adds a timestamp to the real-time environmental data and uploads it to the processing module;

[0063] The processing module retrieves the corresponding temperature adjustment parameters from the database based on the real-time environmental data, and obtains the battery safety index S through calculation using the formula:

[0064]

[0065] Where S is the battery safety index, which is used to evaluate the safety of the battery; T b is the actual temperature of the battery; is the average speed data of the yacht in the corresponding time window T; Q is the temperature adjustment parameter corresponding to the real-time water temperature and real-time sunlight radiation intensity; I out is the current output data, V is the voltage data; A is the yacht vibration data; k1 is the influence coefficient of the yacht speed data, which measures the influence of the yacht speed on the battery temperature; k2 is the weight coefficient of the current-voltage relationship, which is used to adjust its influence on battery safety; α is the influence index of the current output, and the risk of the battery increases when the current is too large; β is the vibration influence coefficient, moderate vibration helps to dissipate heat, which is a positive influence, and excessive vibration may affect the internal connection of the battery, increase the internal resistance or affect the monitoring accuracy of the system, which is a negative influence;

[0066] And when the processing module is calculating, it removes the unit and takes the value;

[0067] The processing module matches the battery safety index S with a preset battery safety mapping table to obtain a corresponding battery safety level and a processing method.

[0068] Average speed of yacht The methods for obtaining include:

[0069] A1. The processing module sets a time window T and continuously collects yacht speed data, and the new yacht speed data replaces the oldest yacht speed data in the time window T;

[0070] A2, the processing module sorts the yacht speed data within the time window T, and removes extreme values ​​according to preset rules, that is, removes the maximum and minimum values ​​of the yacht speed data;

[0071] A3. The processing module calculates the mean of the remaining yacht speed data within the time window T as the average yacht speed of the corresponding timestamp

[0072] The method for obtaining the temperature adjustment parameters comprises the following steps:

[0073] S1. Record the standard temperature of the battery under standard working conditions as the reference temperature T b ;

[0074] S2. Set different water temperatures T s and solar radiation intensity F, simulating the working conditions of yachts in different environments;

[0075] For different water temperatures T sand solar radiation intensity F, record the actual operating temperature of the battery in this environment, denoted as T a (T s ,F,t), t is the corresponding water temperature T s and the duration of solar radiation intensity F;

[0076] S3, record the battery at different water temperatures T multiple times s and the actual operating temperature T of the solar radiation intensity F a (T s ,F,t), and during the duration, the battery remains in the standard working state;

[0077] Finally, take multiple actual working temperatures T a (T s ,F,t) and the battery reference temperature T b The difference between

[0078] S4. Use regression analysis or data fitting method to establish a model of temperature regulation parameter Q, and calculate water temperature T by combining time factor t. s and the effect of solar radiation intensity F on battery temperature;

[0079] Q=z1·T s +z2·F+z3·T;

[0080] In the formula, z1 and z2 are coefficients obtained based on experimental data, which represent the direct effects of water temperature and solar radiation on battery temperature; z3 is the coefficient of influence of time factor on temperature change, which represents the regulating effect of temperature changing with time;

[0081] S5. Conduct tests under different water temperatures, solar radiation and time conditions in the laboratory to calibrate the parameters of the temperature regulation parameter Q to improve the accuracy of the temperature regulation parameter Q.

[0082] The method for obtaining the vibration influence coefficient β comprises the following steps:

[0083] Y1. The processing module sets a plurality of vibration intensity intervals, each of which corresponds to a different value of the vibration influence coefficient β. In this embodiment, the vibration intensity intervals include:

[0084] Mild vibrations (low intensity): usually caused by smooth sailing or gentle seas;

[0085] Under mild vibration, the effect of vibration on battery temperature is usually positive, and the vibration influence coefficient β is a positive value;

[0086] Moderate vibration (medium intensity): usually occurs when the sea conditions are slightly rough or the ship speed is high;

[0087] Moderate vibration may be beneficial to heat dissipation, but may also cause certain pressure inside the battery. The value of the vibration influence coefficient β is set to be close to zero;

[0088] Strong vibration (high intensity): usually occurs in severe sea conditions or when sailing at high speed;

[0089] Under strong vibration, the impact of vibration on the battery is usually negative, that is, vibration may cause problems such as loose connections inside the battery, increase internal resistance, and cause the battery temperature to rise. The vibration impact coefficient β is negative.

[0090] And the vibration influence coefficient β value of each vibration intensity interval is obtained through laboratory testing;

[0091] Y2, the processing module sets a time window D, and continuously collects vibration data within the time window D through the corresponding sensor;

[0092] Y3. The processing module matches the vibration data with the highest value collected in the time window D with each vibration intensity interval to obtain the value of the vibration influence coefficient β of the corresponding vibration intensity interval.

[0093] Example 2

[0094] A battery safety monitoring and early warning system for an electric yacht, comprising an environment monitoring module, a battery monitoring module, a processing module and a database;

[0095] The database includes battery information and a battery safety mapping table corresponding to the yacht model, the battery information includes the maximum current output data and the nominal voltage data of the battery, and the database establishes temperature adjustment parameters for the yacht battery by water temperature and solar radiation based on the historical records of the corresponding yacht model;

[0096] The battery safety mapping table associates the battery safety index with the safety level and the corresponding treatment method;

[0097] The battery monitoring module includes a battery temperature monitoring unit, a battery status monitoring unit and a transmission unit;

[0098] The battery temperature monitoring unit is used to monitor the actual temperature of the yacht battery;

[0099] The battery status monitoring unit is used to monitor the battery operating data of the yacht battery, and the battery operating data includes current output data, remaining power data and voltage data;

[0100] The transmission unit is used to receive the actual temperature and battery operating data of the yacht battery in real time, and upload the actual temperature and battery operating data to the processing module after adding a timestamp to them;

[0101] The environmental monitoring module is used to obtain the real-time environmental data of the yacht, which includes real-time water temperature, real-time sunlight radiation intensity, yacht vibration data and yacht speed data, and the environmental monitoring module adds a timestamp to the real-time environmental data and uploads it to the processing module;

[0102] Compared with Example 1, the processing module in Example 2 corrects the collected vibration data based on the service life, vibration frequency and vibration duration of the yacht battery, and the correction formula used is:

[0103] A x =A y ·(1+ω1·T age )·(1+ω2·T vt )·(1+ω3·f v );

[0104] In the formula, A y is the original vibration data, collected in real time by the sensor; T age T is the service life of the yacht battery; vt is the duration of vibration, which depends on the frequency used; f v is the vibration frequency;

[0105] ω1, ω2, and ω3 are correction coefficients, which indicate the degree of correction of the vibration data by the corresponding factors, and are obtained through experiments;

[0106] The processing module retrieves the corresponding temperature adjustment parameters from the database based on the real-time environmental data, and obtains the battery safety index S through calculation using the formula:

[0107]

[0108] The processing module matches the battery safety index S with a preset battery safety mapping table to obtain a corresponding battery safety level and a processing method.

[0109] Example 3

[0110] A battery safety monitoring and early warning system for an electric yacht, comprising an environment monitoring module, a battery monitoring module, a processing module and a database;

[0111] The database includes battery information and a battery safety mapping table corresponding to the yacht model, the battery information includes the maximum current output data and the nominal voltage data of the battery, and the database establishes temperature adjustment parameters for the yacht battery by water temperature and solar radiation based on the historical records of the corresponding yacht model;

[0112] The battery safety mapping table associates the battery safety index with the safety level and the corresponding treatment method;

[0113] The battery monitoring module includes a battery temperature monitoring unit, a battery status monitoring unit and a transmission unit;

[0114] The battery temperature monitoring unit is used to monitor the actual temperature of the yacht battery;

[0115] The battery status monitoring unit is used to monitor the battery operating data of the yacht battery, and the battery operating data includes current output data, remaining power data and voltage data;

[0116] The transmission unit is used to receive the actual temperature and battery operating data of the yacht battery in real time, and upload the actual temperature and battery operating data to the processing module after adding a timestamp to them;

[0117] The environmental monitoring module is used to obtain the real-time environmental data of the yacht, which includes real-time water temperature, real-time sunlight radiation intensity, yacht vibration data and yacht speed data, and the environmental monitoring module adds a timestamp to the real-time environmental data and uploads it to the processing module;

[0118] The processing module corrects the collected vibration data based on the service life, vibration frequency and vibration duration of the yacht battery. The correction formula is:

[0119] A x =A y ·(1+ω1·T age )·(1+ω2·T vt )·(1+ω3·f v );

[0120] The processing module retrieves the corresponding temperature adjustment parameters from the database based on the real-time environmental data, and obtains the battery safety index S through calculation using the formula:

[0121]

[0122] The processing module matches the battery safety index S with a preset battery safety mapping table to obtain a corresponding battery safety level and processing method;

[0123] And the processing module monitors the vibration time and vibration frequency of the yacht in real time during the driving process through corresponding sensors;

[0124] At the same time, the processing module collects the current output data in the current working state in real time, and quantifies the stability of the battery output by calculating the standard deviation of the current fluctuation. The processing module also determines the time and frequency of battery fluctuations based on the stability of the battery output;

[0125] The method by which the processing module determines when battery fluctuation occurs is:

[0126] By analyzing the time series of current fluctuations, it is possible to determine whether the current fluctuations of the battery at certain moments exceed the normal range. Fluctuations are usually manifested as a sudden increase or decrease in current output within a certain period of time. At this time, the processing module records the time interval in which the current fluctuations occur.

[0127] The method by which the processing module determines the frequency of battery fluctuations is:

[0128] The processing module identifies the frequency by calculating the periodicity or repetitiveness of the current fluctuations. The frequency can be calculated by performing Fourier transform or periodic analysis on the current fluctuations.

[0129] When using Fourier transform analysis: By performing Fourier transform on the current fluctuation data, the time domain signal is converted into a frequency domain signal, and the frequency components of the fluctuation are identified. Fluctuations with higher frequencies usually indicate the influence of vibration or high-frequency noise;

[0130] When using periodic analysis: By performing periodic analysis on the time series, determine whether fluctuations occur repeatedly within certain time intervals;

[0131] The processing module compares the time and frequency of the battery fluctuation with the vibration time and frequency of the yacht during driving to determine whether there is a correlation between them;

[0132] If the changes in battery current fluctuations match the time and frequency of vibration, it means that the vibration has affected the stability of the battery;

[0133] If the battery is unstable, the processing module issues a warning based on the judgment result;

[0134] The method for the processing module to determine the relevance, in this embodiment, uses sliding window comparison, specifically including:

[0135] Set a time window Y, and count the time and frequency of battery fluctuations, as well as the vibration time and frequency of the yacht during driving within the time window Y;

[0136] The processing module compares the battery fluctuation time, frequency and vibration time, frequency in each time window Y to see whether there is significant synchronization;

[0137] And the processing module uses a sliding window to gradually move forward to continuously monitor the correlation between battery fluctuations and yacht vibrations.

[0138] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A battery safety monitoring and early warning system for an electric yacht, comprising an environmental monitoring module, a battery monitoring module, a processing module and a database, characterized in that: The database includes battery information corresponding to the yacht model, a battery safety mapping table, and temperature adjustment parameters for yacht batteries at different water temperatures and solar radiation intensities; The battery monitoring module comprises: Battery temperature monitoring unit, monitors the actual temperature T of the yacht battery b ; Battery status monitoring unit, monitors the battery working data of the yacht battery, the battery working data includes the current output data I out and voltage data V; Transmission unit, real-time receiving the actual temperature T of the yacht battery b and battery operating data, and upload it to the processing module after adding a timestamp to it; The environmental monitoring module is used to obtain the real-time environmental data of the yacht, which includes real-time water temperature, real-time sunlight radiation intensity, yacht vibration data A and yacht speed data, and the environmental monitoring module adds a timestamp to the real-time environmental data and uploads it to the processing module; The processing module retrieves the corresponding temperature adjustment parameter Q from the database based on the real-time environmental data, and obtains the battery safety index S through calculation using the formula: In the formula, is the average speed data of the yacht in the corresponding time window T; k1 is the influence coefficient of the yacht speed data; k2 is the weight coefficient of the current-voltage relationship; α is the influence index of the current output; β is the vibration influence coefficient; The processing module matches the battery safety index S with a preset battery safety mapping table to obtain a corresponding battery safety level and a processing method.

2. The battery safety monitoring and early warning system for an electric yacht according to claim 1, characterized in that: Average yacht speed The methods for obtaining include: A1. The processing module sets a time window T and continuously collects yacht speed data, and the new yacht speed data replaces the oldest yacht speed data in the time window T; A2, the processing module sorts the yacht speed data within the time window T and removes extreme values; A3. The processing module calculates the mean of the remaining yacht speed data within the time window T as the average yacht speed of the corresponding timestamp 3. The battery safety monitoring and early warning system for an electric yacht according to claim 2, characterized in that: The method for obtaining the temperature adjustment parameters comprises the following steps: S1. Record the standard temperature of the battery under standard working conditions as the reference temperature T b ; S2. Set different water temperatures T s and solar radiation intensity F, simulating the working conditions of yachts in different environments; For different water temperatures T s and solar radiation intensity F, record the actual operating temperature of the battery in this environment, denoted as T a (T s ,F,t), t is the corresponding water temperature T s and the duration of solar radiation intensity F; S3, record the battery at different water temperatures T multiple times s and the actual operating temperature T of the solar radiation intensity F a (T s ,F,t), and take the average value to calculate the battery reference temperature T b The difference between S4. Use regression analysis or data fitting method to establish a model of temperature regulation parameter Q, and calculate water temperature T by combining time factor t. s and the effect of solar radiation intensity F on battery temperature; Q=z1·T s +z2·F+z3·t; In the formula, z1 and z2 are coefficients obtained based on experimental data; z3 is the coefficient of influence of time factor on temperature change.

4. The battery safety monitoring and early warning system for an electric yacht according to claim 3, characterized in that: The method for obtaining the vibration influence coefficient β comprises the following steps: Y1. The processing module sets multiple vibration intensity intervals, and each vibration intensity interval corresponds to a different value of the vibration influence coefficient β; Y2, the processing module sets a time window D, and continuously collects vibration data within the time window D through the corresponding sensor; Y3. The processing module matches the vibration data with the highest value collected in the time window D with each vibration intensity interval to obtain the value of the vibration influence coefficient β of the corresponding vibration intensity interval.

5. The battery safety monitoring and early warning system for an electric yacht according to claim 1, characterized in that: The processing module corrects the collected vibration data based on the service life, vibration frequency and vibration duration of the yacht battery. The correction formula is: A x =A y ·(1+ω1·T age )·(1+ω2·T vt )·(1+ω3·f v ); In the formula, A y is the original vibration data; T age T is the service life of the yacht battery; vt is the vibration duration; f v is the vibration frequency; ω1, ω2 and ω3 are correction coefficients, indicating the degree of correction of the vibration data by the corresponding factors.

6. The battery safety monitoring and early warning system for an electric yacht according to claim 1, characterized in that: The processing module monitors the vibration time and vibration frequency of the yacht in real time during the driving process through corresponding sensors; At the same time, the processing module collects the current output data in the current working state in real time, and quantifies the stability of the battery output by calculating the standard deviation of the current fluctuation. The processing module also determines the time and frequency of battery fluctuations based on the stability of the battery output.

7. The battery safety monitoring and early warning system for an electric yacht according to claim 6, characterized in that: The processing module compares the time and frequency of battery fluctuations with the vibration time and frequency of the yacht during driving to determine whether there is a correlation between them; If the change in the battery current fluctuation matches the time and frequency of the vibration, the processing module determines that the yacht vibration has affected the stability of the battery; The processing module issues a warning based on the judgment result.

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