A high-rate discharge device and system for a sodium-ion automobile starting battery

Abstract

This invention discloses a high-rate discharge device and system for sodium-ion automotive starting batteries. The invention relates to the field of demand analysis technology and includes a data acquisition and monitoring module, an analysis module, a power control module, a mode control module, and an early warning module. The data acquisition and monitoring module collects physical parameter information of the automotive starting battery at different cycles, engine information, and user's daily vehicle usage habits. In this invention, the power control module calculates the difference J between the battery charge value S and the user's average energy consumption C, and generates a corresponding control signal based on the charging difference J, which is transmitted to the mode control module. This adjusts the engine power to ensure that the battery charge value S is always higher than the user's average energy consumption C, maintaining sufficient battery charge and ensuring that the starting battery has enough energy for high-rate discharge, thus ensuring stable and reliable battery support for the vehicle during startup and operation.

Description

Technical Field

[0001] This invention relates to the field of demand analysis technology, specifically to a high-rate discharge device and system for sodium-ion automotive starting batteries. Background Technology

[0002] Sodium-ion batteries are a type of rechargeable battery. Their working principle is mainly based on the movement of sodium ions between the positive and negative electrodes. During the charging and discharging process, sodium ions will move back and forth between the two electrodes, inserting and extracting. Car starter batteries are mainly used to start the vehicle's engine. They can provide a large current in a short time to ensure that the engine can be started smoothly. In addition, car starter batteries also provide power to other electronic devices in the vehicle, such as headlights, audio systems, etc.

[0003] Currently, the starting battery power control of gasoline vehicles usually relies on the output power of the vehicle engine and the actual speed of the vehicle. However, when the car is not in use, the starting battery power is easily insufficient, resulting in a significant drop in the battery's discharge power.

[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a high-rate discharge device and system for sodium-ion automotive starting batteries.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a high-rate discharge system for sodium-ion automotive starting batteries, comprising: a data acquisition and monitoring module, an analysis module, a power control module, a mode control module, and an early warning module.

[0007] The data acquisition and monitoring module is used to collect physical parameter information of the car's starter battery at different cycles, engine information, and user's daily vehicle usage habits. The information is then preprocessed and transmitted to the analysis module.

[0008] The analysis module receives data packets transmitted by the acquisition and monitoring module, uses the anomaly analysis unit to analyze the physical parameters of the battery at different start-up cycles, and transmits the obtained battery risk value F and power value S to the early warning module and power control module. It also sends engine information to the power control module. The user analysis unit analyzes user habit information, obtains the start-up base value H1, the average value of other usage H2, and the average value of entertainment media usage H3, and then transmits the obtained average user energy consumption C to the power control module.

[0009] The power control module generates control signals and continuously transmits these signals to the mode control module.

[0010] The mode control module is responsible for dynamically adjusting the engine power based on dynamic signals.

[0011] The warning module is responsible for receiving battery status signals, retaining safe signals according to signal classification, and notifying the driver of serious warnings and emergency alarms through display and voice. It also generates battery health reports and sends them to the driver periodically.

[0012] Preferably, the data acquisition and monitoring module includes a battery acquisition unit, an engine acquisition unit, a user habit acquisition unit, and a preprocessing unit. The battery acquisition unit continuously monitors the physical parameter information of the vehicle's starting battery at different cycles, including information such as battery temperature, battery voltage, and battery current. The engine acquisition unit intermittently acquires engine information. The user habit acquisition unit acquires information such as the user's daily vehicle usage habits, usage cycle, and time, and then transmits the above information to the preprocessing unit.

[0013] The preprocessing unit filters noise from the battery information and then corrects the data to eliminate data deviations caused by equipment errors, environmental changes, etc. For high-frequency data such as battery current and voltage, it compresses and aggregates them to convert them into smaller, easier-to-transmit information packets. The preprocessed data will be packaged into standard format information packets and transmitted to the analysis module through a high-speed data transmission interface.

[0014] Preferably, the analysis module includes an anomaly analysis unit and a user analysis unit;

[0015] The anomaly analysis unit periodically analyzes various physical parameters of the battery according to a preset time period, compares the battery physical parameters with the normal operating range, and when a parameter deviates from the normal range, the abnormal parameter value is obtained according to the formula. The abnormal values ​​of voltage, current, temperature and internal impedance are marked as O, P, I and N, respectively, with the abnormal value range from 0 to 1. The battery risk value is obtained through the formula, and the battery risk value is compared with two threshold values ​​to generate a safety signal, a serious warning signal and an emergency warning signal, which are transmitted to the early warning module.

[0016] Preferably, the anomaly analysis unit calculates the voltage anomaly value, current anomaly value, temperature anomaly value, and internal impedance anomaly value using the following formulas: where Y represents the value of each parameter;

[0017] .

[0018] Preferably, the anomaly analysis unit calculates the battery risk value F according to a formula, the specific formula of which is as follows:

[0019] ;

[0020] Where O represents voltage anomaly, P represents current anomaly, I represents temperature anomaly, N represents internal impedance anomaly, X1 represents the weighting coefficient of voltage anomaly, X2 represents the weighting coefficient of current anomaly, X3 represents the weighting coefficient of temperature anomaly, and X4 represents the weighting coefficient of internal impedance anomaly.

[0021] The anomaly analysis unit compares the battery risk value with the warning threshold. When the battery risk value is less than the warning threshold 1, a safety signal is generated. When the battery risk value is greater than the warning threshold 1 but less than the warning threshold 2, a serious warning signal is generated. When the battery risk value is greater than the warning threshold 2, an emergency alarm signal is generated. The above signals are marked as battery status signals and transmitted to the early warning module.

[0022] Preferably, the user analysis unit analyzes user habits, obtains the average power consumption of lights and other electrical devices during vehicle operation and marks it as the average usage value H2, calculates the average energy consumption value H3 of user entertainment media use according to the formula, and obtains the average user energy consumption value C according to the formula. The above information and engine information are transmitted to the power control module.

[0023] The user analysis unit calculates the average energy consumption H3 for entertainment media usage using the following formula:

[0024] ;

[0025] The user analysis unit calculates the average user energy consumption C using the following formula:

[0026] ;

[0027] Among them, the starting base value H1 refers to the minimum amount of electricity required for engine starting and vehicle electronic system initialization, which is preset and fixed; M1 represents the weighting coefficient of the average value used by other users; and M2 represents the weighting coefficient of the average energy consumption of entertainment media.

[0028] Preferably, the power control module calculates the charging difference J by subtracting the battery power value S from the average user energy consumption C. When the charging difference J is less than the evaluation threshold, a low power signal is generated. When the charging difference J is greater than or equal to the evaluation threshold, a hold signal is generated, and the hold signal is continuously transmitted to the mode control module.

[0029] Preferably, the mode control module is responsible for dynamically adjusting the engine power output. When it receives a hold signal, it does not change the engine power output. When the mode control module receives a power shortage signal, it increases the fuel injection quantity and engine speed to improve the engine power output.

[0030] Preferably, after receiving the battery status signal, the early warning module only saves the safety signal. When it receives a serious warning signal or an emergency alarm signal, it notifies the driver to take emergency stop through the display and voice system. Based on long-term battery usage data and battery risk values, it generates a battery health report and pushes it to the driver from time to time.

[0031] Preferably, the specific method of the vehicle starting battery discharge system is as follows:

[0032] S1, the data acquisition and monitoring module is responsible for collecting information on the car's starter battery, engine operation, and user usage habits. After preprocessing, the information is transmitted to the analysis module.

[0033] S2. The analysis module uses the anomaly analysis unit to analyze the physical parameters of the battery at different cycles and obtain the battery risk value F. The user analysis unit analyzes the user's habits and obtains the average user energy consumption C. Based on the battery risk value F, the corresponding battery status signal is generated and transmitted to the early warning module. The average user energy consumption C is transmitted to the power control module.

[0034] S3. The power control module calculates the charging difference J and generates a corresponding control signal based on the charging difference J, which is then transmitted to the mode control module.

[0035] S4. The mode control module dynamically adjusts the engine power based on the control signal transmitted by the power control module.

[0036] S5, the warning module will notify the driver to stop the vehicle immediately via display and voice notification of serious warnings and emergency alarms in the battery status signals, and will also generate a battery health report and push it to the driver.

[0037] This invention provides a high-rate discharge device and system for sodium-ion automotive starting batteries. Compared with existing technologies, it has the following advantages:

[0038] This invention calculates the difference J between the battery charge value S and the average user energy consumption C using a power control module. Based on the charging difference J, a corresponding control signal is generated and transmitted to the mode control module to regulate the engine power. This ensures that the battery charge value S is always higher than the average user energy consumption C, allowing the battery to maintain sufficient charge. This guarantees that the starting battery has enough energy for high-rate discharge, ensuring stable and reliable battery support for the vehicle during startup and operation.

[0039] This invention analyzes the physical parameters of the starting battery at different cycles through an anomaly analysis unit, thereby monitoring the battery's operating status. When these parameters deviate from the normal range, the anomaly analysis unit calculates the battery risk value F and determines whether the starting battery is in an abnormal state based on the change of the battery risk value F, and sends different battery status signals to the driver. The monitoring and anomaly judgment mechanism can effectively improve the safety of battery use, thereby improving vehicle safety and reducing the risk of accidents caused by battery failure. Attached Figure Description

[0040] Figure 1 This is a schematic diagram of the principle framework of the present invention. Detailed Implementation

[0041] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] Example 1:

[0043] Please see Figure 1 This application provides a high-rate discharge system for sodium-ion automotive starting batteries, including a data acquisition and monitoring module, an analysis module, a power control module, a mode control module, and an early warning module.

[0044] The data acquisition and monitoring module is used to collect physical parameter information of the car's starter battery at different cycles, engine information, and user's daily vehicle usage habits. The information is then preprocessed and transmitted to the analysis module.

[0045] The analysis module receives data packets transmitted by the acquisition and monitoring module, analyzes the physical parameters of the battery at different start-up cycles through the anomaly analysis unit, transmits the obtained battery risk value F to the early warning module, transmits the obtained power value S to the power control module, and sends engine information to the power control module. The user analysis unit analyzes user habit information, obtains the start-up base value H1, the average value of other usage H2, and the average value of entertainment media usage H3, and then transmits the obtained average user energy consumption C to the power control module.

[0046] The power control module generates control signals and transmits them to the mode control module.

[0047] The data acquisition and monitoring module includes a battery acquisition unit, an engine acquisition unit, a user habit acquisition unit, and a preprocessing unit. The battery acquisition unit continuously monitors the physical parameter information of the vehicle's starter battery at different cycles. The engine acquisition unit intermittently acquires engine information. The user habit acquisition unit acquires information on the user's daily vehicle usage habits, usage cycles, and time, and then transmits the above information to the preprocessing unit.

[0048] The main physical parameters monitored include:

[0049] Voltage: It should generally be kept within a certain range (e.g., 12V to 14V).

[0050] Current: The charging and discharging current of the battery should also be kept within a set range (e.g., -10A to +10A).

[0051] Temperature: The battery temperature needs to be within a safe range, typically between 0°C and 45°C.

[0052] Internal impedance: The internal impedance of a battery can reflect its health condition. A high impedance may indicate that the battery is aging or damaged.

[0053] The preprocessing unit filters noise from the battery information and then corrects the data to eliminate data deviations caused by equipment errors, environmental changes, etc. For high-frequency data such as battery current and voltage, it compresses and aggregates them to convert them into smaller, easier-to-transmit information packets. The preprocessed data will be packaged into standard format information packets and transmitted to the analysis module through a high-speed data transmission interface.

[0054] The analysis module includes an anomaly analysis unit and a user analysis unit;

[0055] The user analysis unit analyzes user habits, obtains the average power consumption of lights and other electrical devices during vehicle operation and marks it as the average usage value H2, calculates the average energy consumption value H3 of user entertainment media use according to the formula, and obtains the average user energy consumption value C according to the formula. The above information and engine information are transmitted to the power control module.

[0056] The user analysis unit calculates the average energy consumption H3 for entertainment media usage using the following formula:

[0057] ;

[0058] The user analysis unit calculates the average user energy consumption C using the following formula:

[0059] ;

[0060] Among them, the starting base value H1 refers to the minimum amount of electricity required for engine starting and vehicle electronic system initialization, which is preset and fixed; M1 represents the weighting coefficient of the average value used by other users; and M2 represents the weighting coefficient of the average energy consumption of entertainment media.

[0061] The warning module is responsible for receiving battery status signals, retaining safe signals according to signal classification, and notifying the driver of serious warnings and emergency alarms through display and voice. It also generates battery health reports and sends them to the driver periodically.

[0062] The power control module calculates the charging difference J by subtracting the battery power value S from the average user energy consumption C. When the charging difference J is less than the evaluation threshold, a low power signal is generated. When the charging difference J is greater than or equal to the evaluation threshold, a hold signal is generated and the hold signal is continuously transmitted to the mode control module.

[0063] The mode control module is responsible for dynamically adjusting the engine power output. When it receives a hold signal, it does not change the engine power output. When the mode control module receives a power shortage signal, it increases the fuel injection quantity and engine speed to increase the engine power output.

[0064] After receiving the battery status signal, the warning module only saves the safety signal. When it receives a serious warning signal or an emergency alarm signal, it notifies the driver to take emergency stop through the display and voice system. Based on long-term battery usage data and battery risk values, it generates a battery health report and pushes it to the driver from time to time.

[0065] Specific workflow:

[0066] The data acquisition and monitoring module collects battery physical information from the car's starter battery, engine information from the car's engine, and user usage information. It then transmits the battery physical information, user usage information, and engine information to the analysis module for analysis. The resulting average user energy consumption C and battery charge value S are transmitted to the power control module, while the engine speed information is transmitted to the mode control module.

[0067] The analysis module includes an anomaly analysis unit and a user analysis unit;

[0068] Furthermore, the present invention calculates the difference J between the battery charge value S and the average user energy consumption C through the power control module, and generates a corresponding control signal based on the charging difference J and transmits it to the mode control module, thereby regulating the engine power so that the battery charge value S is always higher than the average user energy consumption C, the battery can maintain sufficient charge, ensure that the starting battery has enough power to discharge at a high rate, and ensure that the vehicle has stable and reliable battery support during startup and operation.

[0069] Example 2:

[0070] The anomaly analysis unit periodically analyzes various physical parameters of the battery according to a preset time period, compares the battery physical parameters with the normal operating range, and when a parameter deviates from the normal range, the abnormal parameter value is obtained according to the formula. The abnormal parameter values ​​include abnormal voltage values, abnormal current values, abnormal temperature values, and abnormal internal impedance values, which are marked as O, P, I, and N respectively. The abnormal value range is 0 to 1. The battery risk value is obtained through the formula, and the battery risk value is compared with two threshold values ​​to generate a safety signal, a serious warning signal, and an emergency warning signal, which are transmitted to the early warning module.

[0071] The anomaly analysis unit yields the following formulas for calculating abnormal voltage, current, temperature, and internal impedance values: where Y represents the values ​​of each parameter;

[0072] ;

[0073] The anomaly analysis unit calculates the battery risk value F according to the formula, which is as follows:

[0074] ;

[0075] Where O represents voltage anomaly, P represents current anomaly, I represents temperature anomaly, N represents internal impedance anomaly, X1 represents the weighting coefficient of voltage anomaly, X2 represents the weighting coefficient of current anomaly, X3 represents the weighting coefficient of temperature anomaly, and X4 represents the weighting coefficient of internal impedance anomaly.

[0076] The anomaly analysis unit compares the battery risk value with the warning threshold. When the battery risk value is less than the first warning threshold, a safety signal is generated. When the battery risk value is greater than the first warning threshold but less than the second warning threshold, a serious warning signal is generated. When the battery risk value is greater than the second warning threshold, an emergency alarm signal is generated. The above signals are marked as battery status signals and transmitted to the early warning module.

[0077] Warning threshold 1: This threshold is usually set at 0.5. When an abnormal value approaches 0.5, it indicates that a certain parameter of the battery has begun to deviate from the normal range. The system believes that the battery may face a certain risk, but this deviation is not enough to immediately affect its function.

[0078] Warning threshold two: This threshold is usually set at 0.8. When an abnormal value is close to 0.8, it indicates that a certain parameter of the battery has deviated significantly from the normal range, and the battery may face more serious risks, such as performance degradation or potential failure.

[0079] The specific method for starting and discharging the car's battery is as follows:

[0080] S1, the data acquisition and monitoring module is responsible for collecting information on the car's starter battery, engine operation, and user usage habits. After preprocessing, the information is transmitted to the analysis module.

[0081] S2. The analysis module uses the anomaly analysis unit to analyze the physical parameters of the battery at different cycles and obtain the battery risk value F. The user analysis unit analyzes the user's habits and obtains the average user energy consumption C. Based on the battery risk value F, the corresponding battery status signal is generated and transmitted to the early warning module. The average user energy consumption C is transmitted to the power control module.

[0082] S3. The power control module calculates the charging difference J and generates a corresponding control signal based on the charging difference J, which is then transmitted to the mode control module.

[0083] S4. The mode control module dynamically adjusts the engine power based on the control signal transmitted by the power control module.

[0084] S5, the warning module will notify the driver to stop the vehicle immediately via display and voice notification of serious warnings and emergency alarms in the battery status signals, and will also generate a battery health report and push it to the driver.

[0085] Specific workflow:

[0086] The data acquisition and monitoring module collects battery physical information from the car's starting battery. The battery physical information is processed by the preprocessing unit and transmitted to the analysis module. The analysis module analyzes and processes the battery physical information to obtain abnormal values ​​of various parameters and battery risk values ​​F. The abnormal values ​​of various parameters and battery risk values ​​F are transmitted to the early warning module to generate a battery health report. Based on the battery risk values ​​F, a battery status signal is generated and transmitted to the early warning module.

[0087] Furthermore, this invention analyzes the physical parameters of the starting battery at different cycles through an anomaly analysis unit, thereby monitoring the battery's operating status. When these parameters deviate from the normal range, the anomaly analysis unit calculates the battery risk value F and determines whether the starting battery is in an abnormal state based on the change in the battery risk value F, and sends different battery status signals to the driver. The monitoring and anomaly judgment mechanism can effectively improve the safety of battery use, thereby improving vehicle safety and reducing the risk of accidents caused by battery failure.

[0088] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0089] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A high-rate discharge system for a sodium-ion automotive starting battery, characterized in that, include: The system includes a data acquisition and monitoring module, an analysis module, a power control module, a mode control module, and an early warning module. The data acquisition and monitoring module is used to collect physical parameter information of the car's starter battery at different cycles, engine information, and user's daily vehicle usage habits. The information is then preprocessed and transmitted to the analysis module. The analysis module receives data packets transmitted by the acquisition and monitoring module, analyzes the physical parameters of the battery at different cycles through the anomaly analysis unit, transmits the obtained battery risk value F to the early warning module, transmits the obtained power value S to the power control module, and sends engine information to the power control module. The analysis module analyzes user habit information through the user analysis unit, obtains the starting base value H1, the average value of other usage H2, and the average value of entertainment media usage H3, and then transmits the obtained average user energy consumption C to the power control module. The mode control module is responsible for dynamically adjusting the engine power based on dynamic signals; The anomaly analysis unit periodically analyzes various physical parameters of the battery according to a preset time period, compares the battery physical parameters with the normal operating range, and when a parameter deviates from the normal range, the abnormal parameter value is obtained according to the formula. The abnormal voltage value, abnormal current value, abnormal temperature value, and abnormal internal impedance value are marked as O, P, I, and N, respectively, with the abnormal value range being 0 to 1. The battery risk value is obtained through the formula, and the battery risk value is compared with two threshold values ​​to generate a safety signal, a serious warning signal, and an emergency warning signal, which are then transmitted to the early warning module. The anomaly analysis unit compares the battery risk value with the warning threshold. When the battery risk value is less than the first warning threshold, a safety signal is generated. When the battery risk value is greater than the first warning threshold but less than the second warning threshold, a serious warning signal is generated. When the battery risk value is greater than the second warning threshold, an emergency alarm signal is generated. The above signals are marked as battery status signals and transmitted to the early warning module. The warning module is responsible for receiving battery status signals, retaining safety signals according to signal classification, and notifying the driver of serious warnings and emergency alarm signals through display and voice, and generating battery health reports for the driver from time to time. The power control module calculates the charging difference J by subtracting the battery power value S from the average user energy consumption C. When the charging difference J is less than the evaluation threshold, a low power signal is generated. When the charging difference J is greater than or equal to the evaluation threshold, a hold signal is generated and the hold signal is continuously transmitted to the mode control module.

2. The high-rate discharge system for a sodium-ion automotive starting battery according to claim 1, characterized in that, The user analysis unit analyzes user habits, obtains the average power consumption of lights and other electrical devices during vehicle operation and marks it as the average usage value H2, calculates the average energy consumption value H3 of user entertainment media use according to the formula, and obtains the average user energy consumption value C according to the formula. The above information and engine information are transmitted to the power control module. The user analysis unit calculates the average energy consumption H3 for entertainment media usage using the following formula: ； The user analysis unit calculates the average user energy consumption C using the following formula: ； Among them, the starting base value H1 refers to the minimum amount of electricity required for engine starting and vehicle electronic system initialization, which is preset and fixed; M1 represents the weighting coefficient of the average value used by other users; and M2 represents the weighting coefficient of the average energy consumption of entertainment media.

3. The high-rate discharge system for a sodium-ion automotive starting battery according to claim 1, characterized in that, The mode control module is responsible for dynamically adjusting the engine power output. When it receives a hold signal, it does not change the engine power output. When the mode control module receives a power shortage signal, it increases the fuel injection quantity and engine speed to improve the engine power output.

4. The high-rate discharge system for a sodium-ion automotive starting battery according to claim 1, characterized in that, After receiving the battery status signal, the early warning module only saves the safety signal. When it receives a serious warning signal or an emergency alarm signal, it notifies the driver to take emergency stop through the display and voice system. Based on long-term battery usage data and battery risk values, it generates a battery health report and pushes it to the driver from time to time.

5. A high-rate discharge system for a sodium-ion automotive starting battery according to claim 1, characterized in that, The anomaly analysis unit derives the following formulas for calculating abnormal voltage, abnormal current, abnormal temperature, and abnormal internal impedance values: where Y represents the values ​​of each parameter; ； The anomaly analysis unit calculates the battery risk value F according to the formula, which is as follows: ； Where O represents voltage anomaly, P represents current anomaly, I represents temperature anomaly, N represents internal impedance anomaly, X1 represents the weighting coefficient of voltage anomaly, X2 represents the weighting coefficient of current anomaly, X3 represents the weighting coefficient of temperature anomaly, and X4 represents the weighting coefficient of internal impedance anomaly.

6. A high-rate discharge method for a sodium-ion automotive starting battery, based on the discharge system described in any one of claims 1-5, characterized in that, The specific method for the automotive starting battery discharge system is as follows: S1, the data acquisition and monitoring module is responsible for collecting information on the car's starter battery, engine operation, and user usage habits, and then transmitting it to the analysis module after preprocessing. S2. The analysis module analyzes the physical parameters of the battery at different cycles through the anomaly analysis unit to obtain the battery risk value F. The analysis module analyzes the user's habits through the user analysis unit to obtain the average user energy consumption C. Based on the battery risk value F, the module generates the corresponding battery status signal and transmits it to the early warning module. The module also transmits the average user energy consumption C to the power control module. S3. The power control module calculates the charging difference J and generates a corresponding control signal based on the charging difference J, which is then transmitted to the mode control module. S4. The mode control module dynamically adjusts the engine power according to the control signal transmitted by the power control module. S5, the warning module will notify the driver to stop the vehicle immediately via display and voice notification of serious warnings and emergency alarms in the battery status signals, and will also generate a battery health report and push it to the driver.

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