Intelligent detection system and method for electric tool control

Abstract

The invention discloses an intelligent detection system and method for controlling an electric tool, and relates to the technical field of electric tools, the system is used for monitoring and evaluating the state of each single battery in an electric tool battery pack in real time, and if the state of the single battery is not good, the electric tool can be controlled. If yes, detecting the influence of the single battery in a poor state on the whole battery pack according to an evaluation result; if the state of the single battery affects the overall performance of the battery pack, braking energy and generated waste heat in the working process of the electric tool are converted into electric energy, a priority electric energy distribution strategy is made to supply power to the single battery, and meanwhile whether the converted electric energy can meet the supply requirement of the single battery or not is judged; and if the supply demand can be met, executing a corresponding distribution strategy, and if the supply demand cannot be met, executing the distribution strategy according to the priority and triggering an early warning prompt to access an external power supply for charging at the same time.

Description

Technical Field

[0001] The present invention relates to the technical field of electric tools, and in particular to an intelligent detection system and method for controlling electric tools. Background Art

[0002] In the field of power tools, with the continuous advancement of technology and the increasing variety of application scenarios, power tools have gradually become mainstream tools in the fields of industrial production, home maintenance, gardening care, etc. due to their advantages such as high efficiency, environmental protection, and easy operation. However, the battery life of power tools has always been one of the key factors restricting their widespread application.

[0003] At present, most of the power tools on the market use traditional battery management systems, which can only monitor the battery power and voltage simply, but cannot conduct a comprehensive and real-time evaluation of the battery status. This leads to problems such as overcharging, over-discharging, and overheating during use, which not only shortens the battery life, but also reduces the endurance and safety of power tools. In addition, power tools generate a lot of braking energy during operation. If this energy is not recycled, it will be directly converted into heat energy and dissipated, which not only wastes energy, but also aggravates the heating problem of power tools. Summary of the invention

[0004] The object of the present invention is to provide an intelligent detection system and method for electric tool control to solve the problems raised in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solutions: An intelligent detection system for electric tool control, characterized in that: the system includes a battery management module, a battery detection module, an energy recovery and conversion module, and an adjustment control module; The battery management module is used to monitor and evaluate the status of each single cell in the power tool battery pack in real time. If there is a single cell in a bad state, the battery detection module is entered; The battery detection module detects the impact of a single cell in poor condition on the entire battery pack according to the evaluation result of the battery management module. If the condition of the single cell affects the overall performance of the battery pack, the energy conversion module is enabled to supply power to the single cell. The energy recovery and conversion module converts the braking energy and waste heat generated during the operation of the electric tool into electrical energy and stores it in the battery pack; The adjustment control module is used to formulate a priority allocation strategy to determine whether the electric energy of the energy conversion module can meet the supply demand of the single battery. If it can be met, the corresponding allocation strategy is executed. If it cannot be met, the allocation strategy is executed first according to the priority and an early warning prompt is triggered to connect to an external power supply for charging.

[0006] Furthermore, the battery management module includes a state monitoring unit and a state evaluation unit; The state monitoring unit assigns unique numbers B1, B2, ..., Bn to each single battery in the battery pack, where Bn represents the nth single battery in the battery pack. The current, voltage, internal resistance, temperature, and charge-discharge cycle times of each single battery are respectively monitored through various sensors; The state evaluation unit evaluates the remaining power and health status of each single battery based on the monitoring results of the state monitoring unit. The remaining power of the battery is evaluated according to the following formula: ; Where represents the remaining power of the nth single battery at the current moment t, SOC n (t - 1) represents the remaining power of the nth single battery at the previous moment (t - 1), represents the instantaneous current of the nth single battery at the moment , represents the change in current from the previous moment to the current moment, Q n represents the rated capacity of the nth single battery; a threshold K for the remaining power of the single battery is set. When <K, it indicates that the power of the nth single battery is too low; The health status of the battery is evaluated according to the following formula: ; Where SOH n represents the battery health status of the nth single battery, Q c represents the current capacity of the nth single battery, Q i represents the initial capacity of the nth single battery, represents the change in internal resistance of the nth single battery, R i represents the initial internal resistance, , represent weight coefficients used to adjust the influence of internal resistance change and charge-discharge cycle times on SOH n , represents an exponential coefficient used to describe the non-linear influence of charge-discharge cycle times on SOH n , C represents the charge-discharge cycle times of the nth single battery, and Cmax represents the maximum charge-discharge cycle times of the nth single battery; a threshold M for the health status of the single battery is set. When <M, it indicates that the health status of the nth single battery is not good.

[0007] In the above technical solution, by real-time monitoring and evaluating the status of each single battery in the power tool battery pack, the overall performance and safety of the battery pack are ensured.

[0008] Further, the battery detection module includes a performance inconsistency evaluation unit and a comprehensive evaluation unit; The performance inconsistency evaluation unit evaluates the degradation of the overall performance of the battery pack by calculating the average remaining power of the battery pack, and calculates the average remaining power of the battery pack according to the formula: ; Where N represents the number of cells in the battery pack, and avgSOC represents the average remaining capacity of the battery pack; The shortening of the battery life is evaluated by calculating the average health state of the battery pack. The average health state of the battery pack is calculated according to the formula: ; Where avgSOH represents the average health state of the battery pack; The performance difference of the single cells in the battery pack is evaluated by calculating the standard deviation of the remaining power and health status of the single cells in the battery pack, according to the formula: ; ; Where d_SOC represents the standard deviation of the average remaining power of the single cells in the battery pack, and d_SOH represents the standard deviation of the average health status of the single cells in the battery pack; The comprehensive evaluation unit evaluates the influence of the single battery on the entire battery pack by comprehensively considering the remaining power, health status, and performance inconsistency factors, according to the formula: ; Where P represents the comprehensive evaluation index of the battery pack, w1, w2, w3, and w4 are the weight coefficients of the average remaining power, average health status, average remaining power standard deviation, and average health status standard deviation of the battery pack respectively; a comprehensive evaluation index threshold X is set, when P>X, it indicates that the performance of the nth single battery is in good condition, does not affect the overall performance of the entire battery pack, and can be used normally; when P<=X, it indicates that the performance of the nth single battery is poor and affects the overall performance of the battery pack.

[0009] In the above technical solution, the performance inconsistency evaluation unit and the comprehensive evaluation unit can accurately evaluate the impact of a single cell on the entire battery pack. When it is found that the performance of a single cell is poor and affects the overall performance of the battery pack, timely measures can be taken to intervene to avoid further degradation of the battery pack performance.

[0010] Further, the energy recovery and conversion module recovers the braking energy and waste heat generated by the electric tool during operation and converts them into electrical energy, including a braking energy recovery and conversion unit, a waste heat recovery and conversion unit, and a total energy unit; The braking energy recovery and conversion unit is based on the formula: ; Where E represents the recovered braking energy, m represents the number of braking times, represents the conversion efficiency of the braking energy recovery system, T(t) represents the braking torque of the electric tool motor at time t, w(t) represents the angular velocity of the electric tool motor at time t, and t0 and t1 represent the start and end time of the braking process; The waste heat recovery and conversion unit converts the waste heat generated by the power tool during operation into electrical energy according to the formula: ; Where E h Represents the recovered waste heat energy, represents the conversion efficiency of the waste heat recovery and conversion system, H S Indicates the total heat generated by the battery, H L Indicates the heat dissipated by the battery during the conversion process; The total energy unit calculates the total energy recovered according to the formula: ; Among them, E total Represents the total energy recovered.

[0011] In the above technical solution, the braking energy and waste heat generated during the operation of the power tool are converted into electrical energy, thereby improving the energy utilization rate and the endurance of the power tool; through the braking energy recovery and conversion unit and the waste heat recovery and conversion unit, the originally wasted energy can be recovered and utilized to provide additional power support for the battery pack, thereby reducing dependence on external power sources.

[0012] Furthermore, the adjustment control module includes an electric energy distribution control unit, an energy demand unit, and a single battery charging control unit; The power distribution control unit formulates a distribution strategy based on the evaluation results of each single battery status evaluation unit, and evaluates the health status evaluation results and the remaining power evaluation results of each single battery. Sort from low to high, give priority to the health status of each single battery, and give priority to the single battery with the worst health status and power below the threshold; The energy demand unit determines whether the electric energy converted by the energy conversion module can meet the supply demand of the single battery; when When <K, calculate the energy to be supplemented according to the formula: ; where E d represents the energy demand of the single battery; when E total >E d , it means that the recovered energy can meet the supply demand of the single battery, then the allocation strategy is converted into specific charging instructions and sent to the single battery charging control unit, including charging current, voltage, time, and the specific single battery number; when E total <E d , it means that the recovered energy is not enough to meet the supply demand of the single battery, then according to the priority ranking, the single battery with poor health and low power is preferentially powered and a prompt of current insufficient power is given, and it is recommended to connect to an external power supply as soon as possible; The single battery charging control unit receives the allocation strategy from the power distribution control unit, sets corresponding charging parameters for the single battery that needs to be charged, and supplies electric energy to the specified single battery for charging.

[0013] In the above technical solution, according to the information of the battery management module and the battery detection module, a priority allocation strategy is formulated to ensure that the electric energy of the energy conversion module can be reasonably allocated and meet the supply demand of the single battery; when the recovered energy is not enough to meet the supply demand of the single battery, an early warning prompt can be triggered and it is recommended to connect to an external power supply for charging, avoiding damage to the battery due to insufficient power or affecting the normal use of the electric tool.

[0014] An intelligent detection method for electric tool control, characterized in that: the method includes the following steps: Step S100: Real-time monitor and evaluate the state of each single battery in the electric tool battery pack. If there is a situation where the state of a single battery is not good, perform a battery pack detection; Step S200: Detect the impact of the single battery with poor state on the entire battery pack according to the evaluation result of the single battery. If the state of the single battery affects the overall performance of the battery pack, enable energy conversion to supply power to the single battery; Step S300: Convert the braking energy and the generated waste heat during the operation of the electric tool into electric energy and store it in the battery pack; Step S400: Formulate a priority allocation strategy, judge whether the electric energy of the energy conversion module can meet the supply demand of the single battery. If it can meet, execute the corresponding allocation strategy. If it cannot meet, first execute the allocation strategy according to the priority, and at the same time trigger an early warning prompt to connect to an external power supply for charging.

[0015] S100 assigns unique numbers B1, B2, ..., Bn to each single battery in the battery pack, where Bn represents the nth single battery in the battery pack. The current, voltage, internal resistance, temperature, and charge-discharge cycle times of each single battery are monitored by respective sensors. The specific evaluation steps are as follows; Step S101 evaluates the remaining power and health status of each single battery based on the monitoring results of the status monitoring unit. The remaining power of the battery is evaluated according to the following formula: ; where represents the remaining power of the nth single battery at the current time t, SOC n (t - 1) represents the remaining power of the nth single battery at the previous time (t - 1), represents the instantaneous current of the nth single battery at time , represents the change in current from the previous time to the current time, Q n represents the rated capacity of the nth single battery; a remaining power threshold K of the single battery is set. When <K, it indicates that the power of the nth single battery is too low; Step S102 evaluates the battery health status according to the following formula: ; where SOH n represents the battery health status of the nth single battery, Q c represents the current capacity of the nth single battery, Q i represents the initial capacity of the nth single battery, represents the change in internal resistance of the nth single battery, R i represents the initial internal resistance, , represent weight coefficients used to adjust the influence of internal resistance change and charge-discharge cycle times on SOH n , represents an exponential coefficient used to describe the non-linear influence of charge-discharge cycle times on SOH n , C represents the charge-discharge cycle times of the nth single battery, and Cmax represents the maximum charge-discharge cycle times of the nth single battery; a battery health status threshold M is set. When <M, it indicates that the health status of the nth single battery is poor.

[0016] The specific steps of step S200 are as follows: Step S201 evaluates the degree of decline in the overall performance of the battery pack by calculating the average remaining power of the battery pack. The average remaining power of the battery pack is calculated according to the formula: ; Where N represents the number of cells in the battery pack, and avgSOC represents the average remaining capacity of the battery pack; Step S202 evaluates the shortening degree of the battery life by calculating the average health state of the battery pack, and the average health state of the battery pack is calculated according to the formula: ; Where avgSOH represents the average health state of the battery pack; Step S203 evaluates the performance difference of the single cells in the battery pack by calculating the remaining power and the standard deviation of the health status of the single cells in the battery pack, according to the formula: ; ; Where d_SOC represents the standard deviation of the average remaining power of the single cells in the battery pack, and d_SOH represents the standard deviation of the average health status of the single cells in the battery pack; The comprehensive evaluation unit in step S204 evaluates the influence of the single battery on the entire battery pack by comprehensively considering the factors of remaining power, health status, and performance inconsistency, according to the formula: ; Where P represents the comprehensive evaluation index of the battery pack, w1, w2, w3, and w4 are the weight coefficients of the average remaining power, average health status, average remaining power standard deviation, and average health status standard deviation of the battery pack respectively; a comprehensive evaluation index threshold X is set, when P>X, it indicates that the performance of the nth single battery is in good condition, does not affect the overall performance of the entire battery pack, and can be used normally; when P<=X, it indicates that the performance of the nth single battery is poor and affects the overall performance of the battery pack.

[0017] The step S300 includes the following steps: Step S301 converts the braking energy into electrical energy according to the formula: ; Where E represents the recovered braking energy, m represents the number of braking times, represents the conversion efficiency of the braking energy recovery system, T(t) represents the braking torque of the electric tool motor at time t, w(t) represents the angular velocity of the electric tool motor at time t, and t0 and t1 represent the start and end time of the braking process; Step S302 converts the waste heat generated by the power tool during operation into electrical energy according to the formula: ; Where E h Represents the recovered waste heat energy, Represents the conversion efficiency of the waste heat recovery and conversion system, H S Represents the total heat generated by the battery, H L Represents the heat dissipated by the battery during the conversion process; Step S303 calculates the total recovered energy according to the formula: ; where, E total Represents the total recovered energy.

[0018] The said step S400 is divided into the following steps: Step S401 formulates a distribution strategy based on the evaluation results of each single-cell state evaluation unit, sorts the health state evaluation results and remaining power evaluation results of each single-cell battery from low to high, gives priority to the health state of each single-cell battery, and preferentially supplies power to the single-cell battery with the worst health state and a power level lower than the threshold; Step S402 determines whether the electric energy converted by the energy conversion module can meet the supply demand of the single-cell battery; when <K, calculates the energy to be supplemented according to the formula: ; where E d Represents the energy demand of the single-cell battery; when E total >E d it means that the recovered energy can meet the supply demand of the single-cell battery, then converts the distribution strategy into specific charging instructions and sends them to the single-cell battery charging control unit, including charging current, voltage, time, and the specific single-cell battery number; when E total <E d it means that the recovered energy is not enough to meet the supply demand of the single-cell battery, then according to the priority ranking, preferentially supplies power to the single-cell battery with poor health and low power and prompts that the current power is insufficient, and it is recommended to connect to an external power supply as soon as possible; Step S403 receives the distribution strategy from the electric energy distribution control unit, sets corresponding charging parameters for the single-cell battery that needs to be charged, and supplies electric energy to the specified single-cell battery for charging.

[0019] Compared with the prior art, the beneficial effects of the present invention are: The present invention can timely detect the situation of poor battery state and take corresponding measures for intervention by the battery management module to monitor and evaluate the state of each single-cell battery in the battery pack in real time, which helps to extend the service life of the battery pack and improve the reliability and stability of the electric tool; The present invention converts the braking energy and waste heat during the operation of the power tool into electrical energy through the energy recovery and conversion module, thereby improving the energy utilization rate. This energy recovery technology not only helps to reduce energy waste, but also provides additional electrical energy support for the battery pack, thereby extending the battery life of the power tool. The present invention can intelligently evaluate the impact of a single cell on the entire battery pack through a battery detection module and an adjustment control module, and formulate a corresponding maintenance strategy based on the evaluation results. This intelligent battery maintenance method can avoid the situation where the overall performance of the battery pack is reduced due to poor performance of a single cell, thereby improving the overall performance and safety of the battery pack. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A system module diagram of an intelligent detection system for electric tool control according to the present invention; Figure 2 The present invention is a method flow chart of an intelligent detection method for electric tool control. DETAILED DESCRIPTION

[0021] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0022] Example: Figure 1-Figure 2 As shown, the present invention provides a technical solution, an intelligent detection system for electric tool control, characterized in that: the system includes a battery management module, a battery detection module, an energy recovery and conversion module, and an adjustment control module; The battery management module is used to monitor and evaluate the status of each single cell in the power tool battery pack in real time. If there is a single cell in a bad state, the battery detection module is entered; The battery detection module detects the impact of a single cell in poor condition on the entire battery pack according to the evaluation result of the battery management module. If the condition of the single cell affects the overall performance of the battery pack, the energy conversion module is enabled to supply power to the single cell. The energy recovery and conversion module converts the braking energy and waste heat generated during the operation of the electric tool into electrical energy and stores it in the battery pack; The adjustment control module is used to formulate a priority allocation strategy to determine whether the electric energy of the energy conversion module can meet the supply demand of the single battery. If it can be met, the corresponding allocation strategy is executed. If it cannot be met, the allocation strategy is executed first according to the priority and an early warning prompt is triggered to connect to an external power supply for charging.

[0023] The battery management module includes a state monitoring unit and a state evaluation unit; The state monitoring unit assigns unique numbers B1, B2, ..., Bn to each single battery in the battery pack, where Bn represents the nth single battery in the battery pack. The current, voltage, internal resistance, temperature, and charge-discharge cycle count of each single battery are respectively monitored through various sensors. The state evaluation unit evaluates the remaining power and health status of each single battery based on the monitoring results of the state monitoring unit. The remaining power of the battery is evaluated according to the following formula: ; Where represents the remaining power of the nth single battery at the current moment t, SOC n (t - 1) represents the remaining power of the nth single battery at the previous moment (t - 1), represents the instantaneous current of the nth single battery at the moment , represents the change in current from the previous moment to the current moment, Q n represents the rated capacity of the nth single battery; a remaining power threshold K of the single battery is set. When <K, it indicates that the power of the nth single battery is too low. The health status of the battery is evaluated according to the following formula: ; Where SOH n represents the battery health status of the nth single battery, Q c represents the current capacity of the nth single battery, Q i represents the initial capacity of the nth single battery, represents the change in internal resistance of the nth single battery, R i represents the initial internal resistance, , represent weight coefficients used to adjust the influence of internal resistance change and charge-discharge cycle count on SOH n , represents an exponential coefficient used to describe the non-linear influence of charge-discharge cycle count on SOH n , C represents the charge-discharge cycle count of the nth single battery, and Cmax represents the maximum charge-discharge cycle count of the nth single battery; a battery health status threshold M is set. When <M, it indicates that the health status of the nth single battery is poor.

[0024] In the above technical solution, by real-time monitoring and evaluating the state of each single battery in the power tool battery pack, the overall performance and safety of the battery pack are ensured.

[0025] The battery detection module includes a performance inconsistency evaluation unit and a comprehensive evaluation unit. The performance inconsistency evaluation unit evaluates the degradation of the overall performance of the battery pack by calculating the average remaining power of the battery pack, and calculates the average remaining power of the battery pack according to the formula: ; Where N represents the number of cells in the battery pack, and avgSOC represents the average remaining capacity of the battery pack; The shortening of the battery life is evaluated by calculating the average health state of the battery pack. The average health state of the battery pack is calculated according to the formula: ; Where avgSOH represents the average health state of the battery pack; The performance difference of the single cells in the battery pack is evaluated by calculating the standard deviation of the remaining power and health status of the single cells in the battery pack, according to the formula: ; ; Where d_SOC represents the standard deviation of the average remaining power of the single cells in the battery pack, and d_SOH represents the standard deviation of the average health status of the single cells in the battery pack; The comprehensive evaluation unit evaluates the influence of the single battery on the entire battery pack by comprehensively considering the remaining power, health status, and performance inconsistency factors, according to the formula: ; Where P represents the comprehensive evaluation index of the battery pack, w1, w2, w3, and w4 are the weight coefficients of the average remaining power, average health status, average remaining power standard deviation, and average health status standard deviation of the battery pack respectively; a comprehensive evaluation index threshold X is set, when P>X, it indicates that the performance of the nth single battery is in good condition, does not affect the overall performance of the entire battery pack, and can be used normally; when P<=X, it indicates that the performance of the nth single battery is poor and affects the overall performance of the battery pack.

[0026] In the above technical solution, the performance inconsistency evaluation unit and the comprehensive evaluation unit can accurately evaluate the impact of a single cell on the entire battery pack. When it is found that the performance of a single cell is poor and affects the overall performance of the battery pack, timely measures can be taken to intervene to avoid further degradation of the battery pack performance.

[0027] The energy recovery and conversion module recovers the braking energy and waste heat generated by the electric tool during operation and converts them into electrical energy, including a braking energy recovery and conversion unit, a waste heat recovery and conversion unit, and a total energy unit; The braking energy recovery and conversion unit is based on the formula: ; Where E represents the recovered braking energy, m represents the number of brakings, represents the conversion efficiency of the braking energy recovery system, T(t) represents the braking torque of the electric tool motor at time t, w(t) represents the angular velocity of the electric tool motor at time t, and t0 and t1 respectively represent the start and end times of the braking process; The waste heat recovery and conversion unit converts the waste heat generated during the operation of the electric tool into electric energy according to the formula: ; Where E h represents the recovered waste heat energy, represents the conversion efficiency of the waste heat recovery and conversion system, H S represents the total heat generated by the battery, H L represents the heat dissipated by the battery during the conversion process; The total energy unit calculates the total recovered energy according to the formula: ; Where, E total represents the total recovered energy.

[0028] In the above technical solution, the braking energy and the generated waste heat during the operation of the electric tool are converted into electric energy, improving the energy utilization rate and the endurance of the electric tool; through the braking energy recovery and conversion unit and the waste heat recovery and conversion unit, the originally wasted energy can be recovered and utilized, providing additional electric energy support for the battery pack and reducing the dependence on external power sources.

[0029] The adjustment control module includes an electric energy distribution control unit, an energy demand unit, and a single-cell battery charging control unit; The electric energy distribution control unit formulates a distribution strategy based on the evaluation results of each single-cell state evaluation unit, and sorts the evaluation results of the health state and the remaining power of each single-cell battery from low to high, giving priority to the health state of each single-cell battery, and preferentially supplying power to the single-cell battery with the worst health state and a power lower than the threshold; The energy demand unit judges whether the electric energy converted by the energy conversion module can meet the supply demand of the single-cell battery; when <K, calculate the energy that needs to be supplemented according to the formula: ; Where E d represents the energy demand of the single-cell battery; when E total >E dWhen E is reached, it means that the recovered energy can meet the supply demand of the single battery, and the allocation strategy is converted into a specific charging instruction and sent to the single battery charging control unit, including the charging current, voltage, time and specific single battery number; when E total <E d When the battery is low, it indicates that the recovered energy is insufficient to meet the supply demand of the single battery. Then, according to the priority sorting, the single battery with poor health and low power will be powered first and the current power is low. It is recommended to connect the external power supply as soon as possible. The single cell charging control unit receives the allocation strategy from the electric energy allocation control unit, sets corresponding charging parameters for the single cells that need to be charged, and supplies electric energy to the designated single cells for charging.

[0030] In the above technical solution, a priority allocation strategy is formulated based on the information from the battery management module and the battery detection module to ensure that the electric energy of the energy conversion module can be reasonably allocated and meet the supply demand of the single cell battery; when the recovered energy is not enough to meet the supply demand of the single cell battery, it can trigger an early warning prompt and recommend connecting to an external power source for charging, thereby avoiding damage to the battery due to insufficient power or affecting the normal use of the power tool.

[0031] An intelligent detection method for electric tool control, characterized in that the method comprises the following steps: Step S100: monitor and evaluate the status of each single cell in the power tool battery pack in real time, and if there is a single cell in a poor state, perform a battery pack inspection; Step S200: Detecting the impact of a single cell in poor condition on the entire battery pack according to the evaluation result of the single cell. If the condition of the single cell affects the overall performance of the battery pack, energy conversion is enabled to supply power to the single cell. Step S300: converting the braking energy and waste heat generated during the operation of the electric tool into electrical energy and storing it in a battery pack; Step S400: Formulate a priority allocation strategy to determine whether the electric energy of the energy conversion module can meet the supply demand of the single battery. If it can, execute the corresponding allocation strategy. If it cannot, execute the allocation strategy according to the priority and trigger an early warning prompt to connect to an external power source for charging.

[0032] The step S100 uniquely numbers each single cell in the battery pack B1, B2, ..., Bn, where Bn represents the nth single cell in the battery pack, and monitors the current, voltage, internal resistance, temperature, and charge and discharge cycle number of each single cell through various sensors. The specific evaluation steps are as follows; Step S101 evaluates the remaining power and health status of each single battery based on the monitoring results of the status monitoring unit, and evaluates the remaining power of the battery according to the following formula: ; where represents the remaining power of the nth single battery at the current time t, SOC n (t - 1) represents the remaining power of the nth single battery at the previous time (t - 1), represents the instantaneous current of the nth single battery at time , represents the current change from the previous time to the current time, Q n represents the rated capacity of the nth single battery; set the remaining power threshold K of the single battery, when < K, it means that the power of the nth single battery is too low; Step S102 evaluates the battery health status according to the following formula: ; where SOH n represents the battery health status of the nth single battery, Q c represents the current capacity of the nth single battery, Q i represents the initial capacity of the nth single battery, represents the internal resistance change of the nth single battery, R i represents the initial internal resistance, , represent the weight coefficients used to adjust the influence of internal resistance change and charge-discharge cycle times on SOH n , represents the exponential coefficient used to describe the non-linear influence of charge-discharge cycle times on SOH n , C represents the charge-discharge cycle times of the nth single battery, Cmax represents the maximum charge-discharge cycle times of the nth single battery; set the battery health status threshold M, when < M, it means that the battery health status of the nth single battery is not good.

[0033] The specific steps of the said step S200 are as follows: Step S201 evaluates the degree of decline in the overall performance of the battery pack by calculating the average remaining power of the battery pack, and calculates the average remaining power of the battery pack according to the formula: ; where N represents the number of single batteries in the battery pack, and avgSOC represents the average remaining power of the battery pack; Step S202 evaluates the shortening degree of the battery life by calculating the average health state of the battery pack, and the average health state of the battery pack is calculated according to the formula: ; Where avgSOH represents the average health state of the battery pack; Step S203 evaluates the performance difference of the single cells in the battery pack by calculating the remaining power and the standard deviation of the health status of the single cells in the battery pack, according to the formula: ; ; Where d_SOC represents the standard deviation of the average remaining power of the single cells in the battery pack, and d_SOH represents the standard deviation of the average health status of the single cells in the battery pack; The comprehensive evaluation unit in step S204 evaluates the influence of the single battery on the entire battery pack by comprehensively considering the factors of remaining power, health status, and performance inconsistency, according to the formula: ; Where P represents the comprehensive evaluation index of the battery pack, w1, w2, w3, and w4 are the weight coefficients of the average remaining power, average health status, average remaining power standard deviation, and average health status standard deviation of the battery pack respectively; a comprehensive evaluation index threshold X is set, when P>X, it indicates that the performance of the nth single battery is in good condition, does not affect the overall performance of the entire battery pack, and can be used normally; when P<=X, it indicates that the performance of the nth single battery is poor and affects the overall performance of the battery pack.

[0034] The step S300 includes the following steps: Step S301 converts the braking energy into electrical energy according to the formula: ; Where E represents the recovered braking energy, m represents the number of braking times, represents the conversion efficiency of the braking energy recovery system, T(t) represents the braking torque of the electric tool motor at time t, w(t) represents the angular velocity of the electric tool motor at time t, and t0 and t1 represent the start and end time of the braking process; Step S302 converts the waste heat generated by the power tool during operation into electrical energy according to the formula: ; Where E h Represents the recovered waste heat energy, represents the conversion efficiency of the waste heat recovery and conversion system, H S Indicates the total heat generated by the battery, H LIndicates the heat dissipated by the battery during the conversion process; Step S303 calculates the total recovered energy according to the formula: ; where E total represents the total recovered energy.

[0035] The said step S400 is divided into the following steps: Step S401 formulates a distribution strategy based on the evaluation results of each single-cell status evaluation unit, sorts the health status evaluation results and remaining power evaluation results of each single-cell battery from low to high, gives priority to the health status of each single-cell battery, and preferentially supplies power to the single-cell battery with the worst health status and a remaining power lower than the threshold; Step S402 determines whether the electric energy converted by the energy conversion module can meet the supply demand of the single-cell battery; when <K, calculates the energy to be supplemented according to the formula: ; where E d represents the energy demand of the single-cell battery; when E total >E d it means that the recovered energy can meet the supply demand of the single-cell battery, then converts the distribution strategy into a specific charging instruction and sends it to the single-cell battery charging control unit, including charging current, voltage, time, and the specific single-cell battery number; when E total <E d it means that the recovered energy is insufficient to meet the supply demand of the single-cell battery, then according to the priority sorting, preferentially supplies power to the single-cell battery with poor health and low power and prompts that the current power is insufficient, and it is recommended to connect an external power supply as soon as possible; Step S403 receives the distribution strategy from the electric energy distribution control unit, sets the corresponding charging parameters for the single-cell battery to be charged, and supplies electric energy to the specified single-cell battery for charging.

[0036] In the embodiment of the present invention, an electric drill is taken as the specific object of this embodiment. The electric drill is powered by a lithium battery pack. The lithium battery pack has 10 single-cell batteries, and each single-cell battery in the battery pack is uniquely numbered B1, B2,..., B10. The current, voltage, internal resistance, temperature, and charge and discharge cycle times of each single-cell battery are respectively monitored through built-in sensors; Set the remaining power threshold K of the single-cell battery to 20%, that is, when the remaining power of the single-cell battery is lower than 20%, it is considered that the power is too low; Set the health status threshold M of the single-cell battery to 80%, that is, when the health status of the single-cell battery is lower than 80%, it is considered that the health status is poor; Assuming that the current time t is 100 seconds and t-1 is 99 seconds, the instantaneous current of battery B1 is Between 99 seconds and 100 seconds, the value is constant at 2A. Other batteries are similar. The rated capacity of each single battery is Q n is 5Ah; for B1 battery, SOC1(99)=80%, , is greater than the set threshold; Get the current capacity Q of battery B1 c 4.5Ah, initial capacity Q i For 5Ah, the internal resistance change The initial internal resistance R is 0.01Ω. i is 0.05Ω, the number of charge and discharge cycles C is 200 times, and the maximum number of charge and discharge cycles Cmax is 1000 times; set the weight coefficient α=0.5, β=0.3, exponential coefficient γ=2, according to the formula SOH1≈0.79; then calculate the average remaining power and average health status, and calculate the standard deviation, set the weights w1=0.3, w2=0.3, w3=0.2, w4=0.2, according to the formula: =78% is less than the set threshold of 80%, indicating that the performance of the single battery B1 is poor and affects the performance of the entire battery pack; During the braking process of the electric drill, the braking torque T(t) is 10Nm, the angular velocity is 5rad / s, the braking process lasts for 5s (t0=0, t1=5), a total of 8 braking times, and the conversion efficiency m is 0.8. According to the formula E z =8*0.8*10*5*5=1600J, the braking process of the electric drill lasts for 5 seconds, a total of 8 brakes, recovering 1600 joules of energy; The total heat generated by the battery is 100J, the heat lost is 20J, and the conversion efficiency r is 0.6. According to the formula E h =48J,E total =1648J; An allocation strategy is formulated based on the evaluation results of each monomer state evaluation unit, and the health state evaluation results and the remaining power evaluation results of each monomer battery are sorted from low to high, and the health state of each monomer battery is given priority. The monomer battery with the worst health state and power below the threshold is preferentially powered. In this embodiment, the battery B1 is preferentially powered according to the evaluation results; Determine whether the converted electric energy can meet the supply demand of the single battery; calculate the energy that needs to be replenished according to the formula, and the battery voltage obtained by the sensor is 3.7V: E d =5Ah*(1-76%)=1.2Ah=1.2Ah*3.7V=4.44Wh=4.44Wh*3600J / Wh=15984J; According to the above embodiment E total <E d , indicating that the recovered energy is insufficient to meet the supply demand of the single battery, the single battery B1 is powered first according to the priority sorting, and the system prompts and recommends connecting the external power supply as soon as possible; Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent detection system for electric tool control, characterized in that: The system includes a battery management module, a battery detection module, an energy recovery and conversion module, and an adjustment control module; The battery management module is used to monitor and evaluate the status of each single cell in the power tool battery pack in real time. If there is a single cell in a bad state, the battery detection module is entered; The battery detection module detects the impact of a single cell in poor condition on the entire battery pack according to the evaluation result of the battery management module. If the condition of the single cell affects the overall performance of the battery pack, the energy conversion module is enabled to supply power to the single cell. The energy recovery and conversion module converts the braking energy and waste heat generated during the operation of the electric tool into electrical energy and stores it in the battery pack; The adjustment control module is used to formulate a priority allocation strategy to determine whether the electric energy of the energy conversion module can meet the supply demand of the single battery. If it can be met, the corresponding allocation strategy is executed. If it cannot be met, the allocation strategy is executed first according to the priority and an early warning prompt is triggered to connect to an external power supply for charging.

2. The intelligent detection system for electric tool control according to claim 1, characterized in that: The battery management module includes a state monitoring unit and a state evaluation unit; The state monitoring unit uniquely numbers each single cell in the battery pack B1, B2, ..., Bn, where Bn represents the nth single cell in the battery pack, and monitors the current, voltage, internal resistance, temperature, and charge and discharge cycle number of each single cell through various sensors; The state evaluation unit evaluates the remaining power and health status of each single battery according to the monitoring result of the state monitoring unit, and evaluates the remaining power of the battery according to the following formula: ； in Indicates the remaining power of the nth single battery at the current time t, SOC n (t-1) represents the remaining power of the nth single cell at the last moment (t-1), Indicates that the nth single cell is at time The instantaneous current, Indicates the current change from the previous moment to the current moment, Q n Indicates the rated capacity of the nth single cell; Set the remaining power threshold K of the single cell. When < K, it indicates that the power of the nth single cell is too low; The battery health status is evaluated according to the following formula: ； Among them SOH n Indicates the battery health status of the nth single cell, Q c Indicates the current capacity of the nth single cell, Q i represents the initial capacity of the nth single cell, Represents the change in internal resistance of the nth single cell, R i represents the initial internal resistance, , Indicates the weight coefficient used to adjust the internal resistance change and the number of charge and discharge cycles to SOH n The impact of It represents the exponential coefficient used to describe the effect of charge and discharge cycles on SOH n The nonlinear influence of , C represents the number of charge and discharge cycles of the n-th single battery, and Cmax represents the maximum number of charge and discharge cycles of the n-th single battery; Set the threshold M for the health state of a single battery. When < M, it indicates that the health state of the nth single battery is poor.

3. The intelligent detection system for electric tool control according to claim 1, characterized in that: The battery detection module includes a performance inconsistency evaluation unit and a comprehensive evaluation unit; The performance inconsistency evaluation unit evaluates the degradation of the overall performance of the battery pack by calculating the average remaining power of the battery pack, and calculates the average remaining power of the battery pack according to the formula: ； Where N represents the number of cells in the battery pack, and avgSOC represents the average remaining capacity of the battery pack; The shortening of the battery life is evaluated by calculating the average health state of the battery pack. The average health state of the battery pack is calculated according to the formula: ； Where avgSOH represents the average health state of the battery pack; The performance difference of the single cells in the battery pack is evaluated by calculating the standard deviation of the remaining power and health status of the single cells in the battery pack, according to the formula: ； ； Where d_SOC represents the standard deviation of the average remaining power of the single cells in the battery pack, and d_SOH represents the standard deviation of the average health status of the single cells in the battery pack; The comprehensive evaluation unit evaluates the influence of the single battery on the entire battery pack by comprehensively considering the remaining power, health status, and performance inconsistency factors, according to the formula: ； Where P represents the comprehensive evaluation index of the battery pack, w1, w2, w3, and w4 are the weight coefficients of the average remaining power, average health status, average remaining power standard deviation, and average health status standard deviation of the battery pack respectively; a comprehensive evaluation index threshold X is set, when P>X, it indicates that the performance of the nth single battery is in good condition, does not affect the overall performance of the entire battery pack, and can be used normally; when P<=X, it indicates that the performance of the nth single battery is poor and affects the overall performance of the battery pack.

4. The intelligent detection system for electric tool control according to claim 1, characterized in that: The energy recovery and conversion module includes a braking energy recovery and conversion unit, a waste heat recovery and conversion unit, and a total energy unit; The braking energy recovery and conversion unit is based on the formula: ； Where E represents the recovered braking energy, m represents the number of braking times, represents the conversion efficiency of the braking energy recovery system, T(t) represents the braking torque of the electric tool motor at time t, w(t) represents the angular velocity of the electric tool motor at time t, and t0 and t1 represent the start and end time of the braking process; The waste heat recovery and conversion unit converts the waste heat generated by the power tool during operation into electrical energy according to the formula: ； Where E h Represents the recovered waste heat energy, represents the conversion efficiency of the waste heat recovery and conversion system, H S Indicates the total heat generated by the battery, H L Indicates the heat dissipated by the battery during the conversion process; The total energy unit calculates the total energy recovered according to the formula: ； Among them, E total Represents the total energy recovered.

5. The intelligent detection system for electric tool control according to claim 1, characterized in that: The adjustment control module includes an electric energy distribution control unit, an energy demand unit, and a single battery charging control unit; The power distribution control unit formulates a distribution strategy based on the evaluation results of each single battery status evaluation unit, and evaluates the health status evaluation results and the remaining power evaluation results of each single battery. Sort from low to high, give priority to the health status of each single battery, and give priority to the single battery with the worst health status and power below the threshold; The energy demand unit determines whether the electric energy converted by the energy conversion module can meet the supply demand of the single battery, and calculates the energy to be supplemented according to the formula: ； Where E d Indicates the energy demand of a single battery; when E total >E d When E is reached, it means that the recovered energy can meet the supply demand of the single battery, and the allocation strategy is converted into a specific charging instruction and sent to the single battery charging control unit, including the charging current, voltage, time and specific single battery number; when E total <E d When the battery is low, it indicates that the recovered energy is insufficient to meet the supply demand of the single battery. Then, according to the priority sorting, the single battery with poor health and low power will be powered first and the current power is low. It is recommended to connect the external power supply as soon as possible. The single cell charging control unit receives the allocation strategy from the electric energy allocation control unit, sets corresponding charging parameters for the single cells that need to be charged, and supplies electric energy to the designated single cells for charging.

6. An intelligent detection method for electric tool control, characterized in that: The method comprises the following steps: Step S100: monitor and evaluate the status of each single cell in the power tool battery pack in real time, and if there is a single cell in a poor state, perform a battery pack inspection; Step S200: Detecting the impact of a single cell in poor condition on the entire battery pack according to the evaluation result of the single cell. If the condition of the single cell affects the overall performance of the battery pack, energy conversion is enabled to supply power to the single cell. Step S300: converting the braking energy and waste heat generated during the operation of the electric tool into electrical energy and storing it in a battery pack; Step S400: Formulate a priority allocation strategy to determine whether the electric energy of the energy conversion module can meet the supply demand of the single battery. If it can, execute the corresponding allocation strategy. If it cannot, execute the allocation strategy according to the priority and trigger an early warning prompt to connect to an external power source for charging.

7. The intelligent detection method for electric tool control according to claim 6, characterized in that: The step S100 uniquely numbers each single cell in the battery pack B1, B2, ..., Bn, where Bn represents the nth single cell in the battery pack, and monitors the current, voltage, internal resistance, temperature, and charge and discharge cycle number of each single cell respectively. The specific evaluation steps are as follows; Step S101 evaluates the remaining power and health status of each single battery through the monitoring results of the status monitoring unit, and evaluates the remaining power of the battery according to the following formula: ； in Indicates the remaining power of the nth single battery at the current time t, SOC n (t-1) represents the remaining power of the nth single cell at the last moment (t-1), Indicates that the nth single cell is at time The instantaneous current, Indicates the current change from the previous moment to the current moment, Q n Indicates the rated capacity of the nth single cell; Set the remaining battery charge threshold K for a single battery cell. When < K, it indicates that the charge of the nth single battery cell is too low; Step S102 evaluates the battery health status according to the following formula: ； Among them SOH n Indicates the battery health status of the nth single cell, Q c Indicates the current capacity of the nth single cell, Q i represents the initial capacity of the nth single cell, Represents the change in internal resistance of the nth single cell, R i represents the initial internal resistance, , Indicates the weight coefficient used to adjust the internal resistance change and the number of charge and discharge cycles to SOH n The impact of It represents the exponential coefficient used to describe the effect of charge and discharge cycles on SOH n The nonlinear influence of , C represents the number of charge and discharge cycles of the n-th single battery, and Cmax represents the maximum number of charge and discharge cycles of the n-th single battery; Set the threshold M for the health state of a single battery. When < M, it indicates that the health state of the nth single battery is poor; The specific steps of step S200 are as follows: Step S201 evaluates the degradation of the overall performance of the battery pack by calculating the average remaining power of the battery pack. The average remaining power of the battery pack is calculated according to the formula: ； Where N represents the number of cells in the battery pack, and avgSOC represents the average remaining capacity of the battery pack; Step S202 evaluates the shortening degree of the battery life by calculating the average health state of the battery pack, and the average health state of the battery pack is calculated according to the formula: ； Where avgSOH represents the average health state of the battery pack; Step S203 evaluates the performance difference of the single cells in the battery pack by calculating the standard deviation of the remaining power and health status of the single cells in the battery pack, according to the formula: ； ； Where d_SOC represents the standard deviation of the average remaining power of the single cells in the battery pack, and d_SOH represents the standard deviation of the average health status of the single cells in the battery pack; The comprehensive evaluation unit in step S204 evaluates the influence of the single battery on the entire battery pack by comprehensively considering the factors of remaining power, health status, and performance inconsistency, according to the formula: ； Where P represents the comprehensive evaluation index of the battery pack, w1, w2, w3, and w4 are the weight coefficients of the average remaining power, average health status, average remaining power standard deviation, and average health status standard deviation of the battery pack respectively; a comprehensive evaluation index threshold X is set, when P>X, it indicates that the performance of the nth single battery is in good condition, does not affect the overall performance of the entire battery pack, and can be used normally; when P<=X, it indicates that the performance of the nth single battery is poor and affects the overall performance of the battery pack.

8. The intelligent detection method for electric tool control according to claim 6, characterized in that: The step S300 includes the following steps: Step S301 converts the braking energy into electrical energy according to the formula: ； Where E represents the recovered braking energy, m represents the number of braking times, represents the conversion efficiency of the braking energy recovery system, T(t) represents the braking torque of the electric tool motor at time t, w(t) represents the angular velocity of the electric tool motor at time t, and t0 and t1 represent the start and end time of the braking process; Step S302 converts the waste heat generated by the power tool during operation into electrical energy according to the formula: ； Where E h Represents the recovered waste heat energy, represents the conversion efficiency of the waste heat recovery and conversion system, H S Indicates the total heat generated by the battery, H L Indicates the heat dissipated by the battery during the conversion process; Step S303 calculates the total recovered energy according to the formula: ； Among them, E total represents the total energy recovered; The step S400 is divided into the following steps: Step S401 formulates a distribution strategy based on the evaluation results of each monomer state evaluation unit, sorts the health state evaluation results and the remaining power evaluation results of each monomer battery from low to high, gives priority to the health state of each monomer battery, and gives priority to supplying power to the monomer battery with the worst health state and power below the threshold; Step S402 determines whether the electric energy converted by the energy conversion module can meet the supply demand of the single battery; when < When it is less than K, calculate the energy to be supplemented according to the formula: ； Where E d Indicates the energy demand of a single battery; when E total >E d When E is reached, it means that the recovered energy can meet the supply demand of the single battery, and the allocation strategy is converted into a specific charging instruction and sent to the single battery charging control unit, including the charging current, voltage, time and specific single battery number; when E total <E d When the battery is low, it indicates that the recovered energy is insufficient to meet the supply demand of the single battery. Then, according to the priority sorting, the single battery with poor health and low power will be powered first and the current power is low. It is recommended to connect the external power supply as soon as possible. Step S403 receives the distribution strategy from the power distribution control unit, sets corresponding charging parameters for the single battery that needs to be charged, and supplies power to the designated single battery for charging.

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