A wireless communication battery management system with signal self-adaptive adjustment function

Abstract

The application discloses a wireless communication battery management system with signal self-adaptive adjustment function and relates to the field of wireless communication networks.The application comprises a signal monitoring unit which is used for monitoring the parameter data of wireless signals in real time and transmitting the parameter data to a signal processing unit, the signal processing unit comprising a multi-band antenna and a signal acquisition circuit; and the signal processing unit is connected to the signal monitoring unit and is used for receiving the parameter data of wireless signals transmitted by the signal monitoring unit and performing filtering, noise reduction and enhancement processing on the signals through a preset signal processing algorithm.The application expands the signal receiving range and reduces the blind area through the design of a distributed multi-band antenna combined with an automatic gain control technology, improves the stability of signal acquisition in a complex environment, realizes multi-scale noise reduction of signals through a wavelet transform algorithm, predicts the signal quality trend in advance in combination with machine learning prediction, supports the pre-adjustment of transmission power of a control unit and the switching to a high-quality frequency band, and reduces the probability of communication interruption.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wireless communication network, in particular to a wireless communication battery management system with signal adaptive adjustment function. BACKGROUND

[0002] With the wide application of wireless communication technology, various mobile devices have higher requirements for the efficiency and stability of the battery management system.

[0003] The traditional system relies on fixed parameter configuration, and cannot dynamically adjust the transmission power, frequency band and modulation mode in the face of multipath fading, frequency congestion and electromagnetic interference (such as city high-rise group reflection and industrial equipment harmonic interference). For example, when the signal quality suddenly drops due to shielding, the device blindly increases the transmission power, resulting in a sharp increase in battery power consumption and a sharp decrease in endurance; or in weak signal areas, it falls into a vicious cycle of communication interruption and high power consumption due to not switching to a high-quality frequency band.

[0004] The signal processing unit and the battery management unit operate independently, lack data fusion and cooperative control, and the existing scheme does not combine the remaining battery capacity (such as maintaining high power transmission when the battery capacity is less than 20%) or the charging state (such as not starting fast charging when the signal is poor and the power consumption exceeds the standard), resulting in excessive battery consumption or low charging efficiency. In high-bandwidth protocol scenarios such as 5G NR and Wi-Fi 6, the contradiction between power consumption fluctuation and battery life is more prominent.

[0005] The traditional signal quality evaluation only relies on a single indicator of signal strength, ignores key parameters such as signal-to-noise ratio (SNR), bit error rate (BER) and adjacent channel interference ratio, and lacks prediction of signal quality trends (such as not using time series analysis algorithms to predict signal fading), resulting in a lagging adjustment strategy that cannot avoid signal blind areas or interference peaks in advance.

[0006] The existing charging mode does not associate signal quality and device power consumption, and when the signal is poor and the power consumption exceeds 150%, a single constant current charging is still used, resulting in low charging efficiency. At the same time, there is a lack of single battery voltage equalization adjustment, resulting in accelerated capacity decay of the battery pack, especially in series-connected battery packs, where single-cell differences significantly shorten the cycle life.

[0007] Therefore, we improve it and propose a wireless communication battery management system with signal adaptive adjustment function. SUMMARY

[0008] In order to achieve the above application purpose, the present application provides the following technical scheme:

[0009] The present application is specifically as follows:

[0010] A wireless communication battery management system with signal self-adaptive adjustment function, comprising:

[0011] A signal monitoring unit for real-time monitoring of parameter data of wireless signals and transmitting to a signal processing unit, which comprises a multi-band antenna and a signal acquisition circuit;

[0012] A signal processing unit connected to the signal monitoring unit for receiving parameter data of wireless signals transmitted by the signal monitoring unit, filtering, noise reduction and enhancement processing of signals through a preset signal processing algorithm, extracting features of processed signals including amplitude, phase and frequency components, then judging the quality level of the current signal according to a preset signal quality standard, and transmitting to a control unit, wherein the signal quality standard includes signal strength indicator, signal-to-noise ratio indicator, bit error rate indicator and interference strength indicator, and the signal quality level is quantified into multiple levels, which can be customized, and in the default case, the signal quality level is quantified into 4 levels based on the signal strength indicator, the signal-to-noise ratio indicator, the bit error rate indicator and the interference strength indicator;

[0013] A battery state monitoring unit for real-time monitoring of battery state data of the battery by high-precision sensors and transmitting to the control unit, wherein the high-precision sensors include power sensors, voltage sensors, current sensors and temperature sensors;

[0014] A control unit connected to the signal processing unit and the battery state monitoring unit for comprehensively processing signal quality level information transmitted by the signal processing unit and battery state data transmitted by the battery state monitoring unit, generating control instructions according to a preset strategy and algorithm, when the signal quality level is lower than 3, if the battery power is higher than the first preset proportion, the control unit generates instructions to increase the current power by 10%-30%, if the battery power is lower than the second preset proportion, the control unit generates instructions to reduce the transmission power to ≤10dBm, and switch to the frequency band with signal strength ≥-85dBm and adjacent channel interference ratio ≥40dB, wherein the first preset proportion can be customized, and the default is 60%, and the second preset proportion can be customized, and the default is 20%;

[0015] A wireless communication unit connected to the control unit for adjusting its working parameters according to the instructions of the control unit to realize self-adaptive adjustment of signals;

[0016] The battery management unit is connected to the control unit and is used for optimizing the charging and discharging process of the battery according to the instruction of the control unit, and when the signal quality level is less than or equal to 2 levels and the equipment power consumption exceeds the rated power consumption by 150%, a fast charging mode is started, and a strategy combining multiple charging modes is adopted, wherein the multiple charging modes include pulse charging, constant current charging and constant voltage charging, the pulse charging stage is charging at a current of 2C to 60% of the battery capacity, C is the battery capacity, the constant current stage is charging at a current of 1C to 80%, and the constant voltage charging is maintaining a voltage of 4.2V until the charging is completed, and the charging current is reduced to below 0.1C.

[0017] The signal broadcast interaction unit is responsible for broadcasting and interaction of signal conditions between system units, which includes a broadcast sending module and a broadcast receiving module. The broadcast sending module is connected with the signal monitoring unit and the signal processing unit, and the broadcast receiving module is connected with the control unit.

[0018] The multi-band antenna adopts a distributed layout design, and multiple antennas are installed at different positions of the device to improve the all-around coverage capability of signal reception and reduce signal blind areas. The signal acquisition circuit has an automatic gain control function, which can automatically adjust the gain according to the received signal strength, so that the voltage amplitude of the digital electric signal is within the preset effective interval of the input dynamic range of the analog-digital conversion chip, and the accuracy of signal processing is improved.

[0019] The specific working steps of the signal monitoring unit are as follows:

[0020] SA1, start;

[0021] SA2, the multi-band antenna continuously scans and receives wireless signals including 4G and 5G bands in the surrounding environment by virtue of the wideband receiving capability. The multi-band antenna with a distributed layout design collects signals from different positions of the device, expands the signal receiving range, and reduces signal blind areas.

[0022] SA3, the signal acquisition circuit uses a high-precision analog-digital conversion chip to convert the received analog wireless signal into a digital electric signal. The automatic gain control function is used to dynamically adjust the gain according to the signal strength, so that the voltage amplitude of the digital electric signal is within the preset effective interval of the input dynamic range of the analog-digital conversion chip. The converted digital signal is transmitted to the signal processing unit through a high-speed data bus. The preset effective interval is 20%-80% of the full-scale range of the analog-digital conversion chip or a voltage range of 0.5V-2.5V set according to the input requirements of the signal processing unit.

[0023] SA4, end.

[0024] The specific working steps of the signal processing unit are as follows:

[0025] SB1, start;

[0026] SB2, receiving wireless signal parameter data from the signal monitoring unit through a dedicated data interface;

[0027] SB3, using a wavelet transform algorithm to filter, denoise, and enhance the signal, which utilizes multi-resolution analysis characteristics to decompose and reconstruct the signal at different scales, removes noise interference, and preserves important feature information;

[0028] SB4, extracting the amplitude, phase, and frequency component characteristics of the processed signal, and determining the current signal quality level according to detailed signal quality standards customized for different communication protocols and application scenarios;

[0029] SB5, transmitting signal quality level information to the control unit through a dedicated data interface, and using analysis of historical signal data and machine learning algorithms to predict signal quality trends in the future period of time and provide the prediction results to the control unit as decision-making reference, wherein the machine learning algorithm is used to predict signal quality trends based on historical signal data to provide decision-making basis for the control unit, and the machine learning algorithm selects any one of time series analysis algorithm, regression algorithm, and neural network algorithm based on the application scenario of signal prediction;

[0030] SB6, end.

[0031] The specific working steps of the battery state monitoring unit are as follows:

[0032] SC1, start;

[0033] SC2, the coulomb counting technology is used to accurately measure the battery charge and discharge capacity, the remaining capacity percentage is calculated in real time, the high-resolution and low-noise characteristics of the voltage sensor are used to monitor the battery terminal voltage in real time, the Hall effect principle or resistance sampling principle is used to measure the battery charge and discharge current size and direction, and the high-precision thermistor or thermocouple is used to monitor the battery working temperature in real time;

[0034] SC3, the battery state data collected by the coulomb sensor, voltage sensor, current sensor, and temperature sensor is transmitted to the control unit through independent data channels;

[0035] SC4, real-time monitoring of the working state of the coulomb sensor, voltage sensor, current sensor, and temperature sensor and abnormal conditions of the battery, if there is an abnormality, immediately send an alarm information to the control unit;

[0036] SC5, end.

[0037] The specific working steps of the wireless communication unit are as follows:

[0038] SD1, start;

[0039] SD2, receiving control instructions sent by the control unit through the SPI or I2C communication protocol;

[0040] SD3, adjusting its own working parameters according to the instructions, including:

[0041] Transmit power adjustment: adjust the transmit power within the design required power range according to the signal strength requirement, increase the transmit power by no more than 30% of the current power when the signal quality level is below the preset threshold and the battery power is above the first preset proportion, gradually reduce the transmit power by at least 10dBm each time when the battery power is below the second preset proportion, until the minimum transmit power -10dBm is reached, wherein the design required power range can be self-defined, and by default it is -20dBm to 33dBm with a step of 1dB;

[0042] Frequency switching: switch to the target frequency band with signal strength ≥-85dBm and adjacent channel interference ratio ≥40dB;

[0043] Modulation mode adjustment: dynamically select the modulation mode according to the signal quality index, use high-order modulation modes such as 64QAM or 256QAM when SNR ≥25dB, use 16QAM or QPSK modulation mode when 15dB ≤ SNR <25dB, and use low-order modulation modes such as BPSK when SNR <15dB;

[0044] Communication protocol adaptation: automatically select the appropriate communication protocol according to different communication scene parameters and signal quality indicators according to the preset rules to improve communication compatibility and efficiency, and the preset rules can be self-defined, and by default, select LTE-M or NB-IoT protocol when in wide-area coverage scenario and signal strength ≤-100dBm, automatically switch to 5GNR or Wi-Fi6 protocol when in high-speed data scene requiring rate ≥100Mbps and SNR ≥20dB, and select Bluetooth 5.0 or Zigbee protocol when in short-distance low-power consumption scenario;

[0045] SD4, end.

[0046] The specific working steps of the battery management unit are as follows:

[0047] SE1, start;

[0048] SE2, receiving control instructions sent by the control unit;

[0049] SE3, when the signal quality is poor and the device power consumption increases, use a combination of multiple charging methods to speed up the battery charging speed, wherein the multiple charging methods are respectively: applying high-current pulse in the pulse charging stage to quickly supplement the power, maintaining constant charging current in the constant current charging stage to gradually increase the power, and maintaining constant charging voltage in the constant voltage charging stage to prevent battery overcharging;

[0050] SE4, when the device is in a low-power state, the discharge strategy is optimized by intermittent discharge or reducing the discharge current, reducing the self-discharge loss of the battery;

[0051] SE5, the voltage of each single battery in the battery pack is monitored and adjusted to balance the power of each single battery, prolonging the service life of the battery pack;

[0052] SE6, end.

[0053] The specific working steps of the broadcast sending module are as follows:

[0054] SF1, start;

[0055] SF2, the broadcast sending module is connected with the signal monitoring unit and the signal processing unit, and the wireless signal parameters and signal quality level information are obtained in real time every 1 second periodically;

[0056] SF3, the packaged and integrated data is packed according to a specific binary data format, and the data is encrypted by using the AES algorithm to ensure the security of data transmission;

[0057] SF4, using low-power Bluetooth or a custom low-power wireless communication protocol, the encrypted data is broadcast to the broadcast receiving module through a dedicated radio frequency transmitting circuit;

[0058] SF5, end.

[0059] The specific working steps of the broadcast receiving module are as follows:

[0060] SG1, start;

[0061] SG2, continuously monitor the specific wireless channel to receive the signal condition data broadcast from other units;

[0062] SG3, after receiving the data, the signal parameters and quality level information are extracted according to the corresponding binary data format;

[0063] SG4, using data screening and preprocessing functions, according to the preset simple rules, the data is screened in the range of signal strength ≥-100dBm and signal quality level ≥2, and abnormal data with signal-to-noise ratio <10dB or bit error rate >10^-3 is filtered out. After the preliminary screening of the data, remove the obviously abnormal or invalid data, and store the screened data in the cache;

[0064] SG5, the data in the cache is transmitted to the control unit through the high-speed data interface;

[0065] SG6, end.

[0066] The specific working steps of the control unit are as follows:

[0067] SH1, start;

[0068] SH2, respectively from the signal processing unit to obtain signal quality level information and signal quality trend prediction results, from the battery state monitoring unit to obtain battery state data, and from the signal broadcast interaction unit to receive signal condition data broadcast by other units;

[0069] SH3, when making decisions based on the data of the fusion signal broadcast interaction unit, different weights are assigned to the signal condition data broadcast by different units according to the hardware performance of each signal monitoring unit, the complexity of the environment it is in, and the distance from other units. The data weight coefficient of the unit data is 0.8-1.0 for the unit with superior hardware performance, in a simple signal propagation environment, and close to the signal source, and the weight coefficient of other cases is 0.5-0.7;

[0070] SH4, based on the reliability, spatial position relationship and time sequence change of the signal data of each unit, when the signal quality level is lower than 3, if the battery power is higher than the first preset proportion, the control unit generates an instruction to increase 10%-30% based on the current power; if the battery power is lower than the second preset proportion, the control unit generates an instruction to reduce the transmission power to ≤10dBm, and switches to a frequency band with signal strength ≥-85dBm and adjacent channel interference ratio ≥40dB. The frequency band switching comprehensively considers the signal strength, interference condition, and frequency band availability. The specific comprehensive consideration operation is determined according to the actual needs of the user. In addition, according to different use scenarios and device types, the signal quality threshold, the first preset proportion and the second preset proportion parameters are dynamically adjusted;

[0071] SH5, based on the above decisions, generate control instructions, and transmit them to the wireless communication unit and the battery management unit through the communication protocol;

[0072] SH6, end.

[0073] Compared with the prior art, the beneficial effects of the present application are:

[0074] 1. The present application expands the signal receiving range and reduces the blind area by combining the automatic gain control technology with the distributed multi-frequency band antenna design, and improves the stability of signal acquisition in complex environments.

[0075] 2. The present application realizes signal multi-scale noise reduction through wavelet transform algorithm, and supports the control unit to pre-adjust the transmission power and switch to a high-quality frequency band by combining machine learning prediction to predict the signal quality trend in advance, thereby reducing the probability of communication interruption.

[0076] 3, The control unit of the application is based on the default 4-level signal quality classification and battery power threshold dynamic decision, when the power is sufficient and the signal quality is <3 level, the power is increased by 10%-30% to ensure communication, when the power is insufficient, the power is reduced to ≤10dBm and the low-power frequency band is switched, prolonging the endurance.

[0077] 4, The wireless communication unit dynamically selects the modulation mode according to the SNR, and automatically matches the communication protocol to improve the data transmission efficiency.

[0078] 5, When the signal quality is ≤2 level and the power consumption is excessive, start pulse charging + constant current + constant voltage three-stage fast charging, shorten the charging time, at the same time avoid overcharge, through real-time monitoring of voltage, current, temperature, intermittent discharge / current regulation to reduce self-discharge loss, and equalize the voltage of single battery, prolong the life of battery pack cycle, the battery state monitoring unit real-time alarm sensor failure or battery abnormality, the control unit triggers the protection mechanism, enhances the stability of the system.

[0079] 6, The signal broadcast interaction unit realizes data broadcast between units through low-power Bluetooth, the broadcast sending module encrypts the transmission signal parameters every 1 second, the receiving module filters valid data and assigns weights, and the reliability of decision-making is improved.

[0080] 7, Support user-defined signal quality level, power adjustment range, charging current and other parameters, adapt to Internet of Things terminals, portable devices, industrial sensors and other scenes, compatible with LTE-M, Bluetooth 5.0 and other protocols. BRIEF DESCRIPTION OF DRAWINGS

[0081] Figure 1 The working process diagram of the signal monitoring unit of the present application;

[0082] Figure 2 The working process diagram of the signal processing unit of the present application;

[0083] Figure 3 The working process diagram of the battery state monitoring unit of the present application;

[0084] Figure 4 The working process diagram of the wireless communication unit of the present application;

[0085] Figure 5 The working process diagram of the battery management unit of the present application;

[0086] Figure 6 The working process diagram of the broadcast sending module of the present application;

[0087] Figure 7 The working process diagram of the broadcast receiving module of the present application;

[0088] Figure 8 Workflow diagram of the control unit of the present application;

[0089] Figure 9 Default classification diagram of the signal quality level of the present application. DETAILED DESCRIPTION

[0090] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application.

[0091] Therefore, the following detailed description of the embodiments of the present application is not intended to limit the scope of the claimed application, but merely represents some embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative labor fall within the scope of the present application.

[0092] It should be noted that the embodiments in the present application and the features and technical solutions in the embodiments can be combined with each other without conflict.

[0093] It should be noted that: similar reference numerals and letters represent similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0094] In the description of the present application, it should be noted that the terms "upper", "lower", and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the product of the present application is usually placed, or the orientation or positional relationship commonly understood by those skilled in the art, and such terms are only for the convenience of describing the present application and simplifying the description, and are not intended to indicate or imply that the indicated device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application. In addition, the terms "first", "second", and the like are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0095] In order to solve this technical problem, the present application provides the following technical solutions:

[0096] Please refer to Figures 1-9 A wireless communication battery management system with signal self-adaptive adjustment function, comprising:

[0097] A signal monitoring unit: for real-time monitoring of parameter data of wireless signals and transmitting to a signal processing unit, which includes a multi-band antenna and a signal acquisition circuit;

[0098] The signal processing unit is connected to the signal monitoring unit and is used to receive the parameter data of the wireless signal transmitted by the signal monitoring unit, filter, denoise and enhance the signal through a preset signal processing algorithm, extract the features of the processed signal, including the amplitude, phase and frequency components of the signal, and then judge the quality level of the current signal according to a preset signal quality standard and transmit it to the control unit. The signal quality standard includes signal strength indicators, signal-to-noise ratio indicators, bit error rate indicators and interference strength indicators. The signal quality level is quantified into multiple levels, which can be customized. By default, as shown in the figure, the signal quality level is quantified into four levels based on the signal strength indicators, signal-to-noise ratio indicators, bit error rate indicators and interference strength indicators. Figure 9

[0099] The battery state monitoring unit monitors the battery state data of the battery in real time through high-precision sensors and transmits it to the control unit. The high-precision sensors include power sensors, voltage sensors, current sensors and temperature sensors.

[0100] The control unit is connected to the signal processing unit and the battery state monitoring unit, respectively, and is used to integrate the signal quality level information transmitted by the signal processing unit and the battery state data transmitted by the battery state monitoring unit, and generate control instructions according to a preset strategy and algorithm. When the signal quality level is lower than level 3, if the battery power is higher than the first preset proportion, the control unit generates an instruction to increase the current power by 10%-30%, and if the battery power is lower than the second preset proportion, the control unit generates an instruction to reduce the transmission power to ≤10dBm and switch to a frequency band with a signal strength ≥-85dBm and a neighbor channel interference ratio ≥40dB. The first preset proportion can be customized by default, which is 60%, and the second preset proportion can be customized by default, which is 20%.

[0101] The wireless communication unit is connected to the control unit and is used to adjust its working parameters according to the instructions of the control unit to realize adaptive adjustment of the signal.

[0102] The battery management unit is connected to the control unit and is used to optimize the charging and discharging process of the battery according to the instructions of the control unit. When the signal quality level is ≤2 and the device power consumption exceeds the rated power consumption by 150%, the fast charging mode is started, and a combination of multiple charging methods is used, including pulse charging, constant current charging and constant voltage charging. The pulse charging stage: charge at 2C current to 60% capacity, C is the battery capacity, the constant current stage: charge at 1C current to 80%, the constant voltage charging: maintain 4.2V voltage until the charging is completed, and the charging current decreases to 0.1C or below.

[0103] ​The signal broadcast interaction unit is responsible for the broadcast and interaction of signal conditions between the units of the system, and includes a broadcast sending module and a broadcast receiving module. The broadcast sending module is connected with the signal monitoring unit and the signal processing unit, and the broadcast receiving module is connected with the control unit.

[0104] The multi-band antenna adopts a distributed layout design, multiple antennas are installed at different positions of the device to improve the all-around coverage capability of signal reception and reduce signal blind areas. The signal acquisition circuit has an automatic gain control function, which can automatically adjust the gain according to the received signal strength, so that the voltage amplitude of the digital electric signal is within the preset effective interval of the input dynamic range of the analog-digital conversion chip, and the accuracy of signal processing is improved.

[0105] As shown in Figure 1 The specific working steps of the signal monitoring unit are as follows:

[0106] SA1, start;

[0107] SA2, the multi-band antenna continuously scans and receives wireless signals including 4G and 5G bands in the surrounding environment by virtue of the wideband receiving capability. The multi-band antenna with a distributed layout design collects signals from different positions of the device, expands the signal receiving range, and reduces signal blind areas.

[0108] SA3, the signal acquisition circuit adopts a high-precision analog-digital conversion chip to convert the received analog wireless signal into a digital electric signal. The automatic gain control function is used to dynamically adjust the gain according to the signal strength, so that the voltage amplitude of the digital electric signal is within the preset effective interval of the input dynamic range of the analog-digital conversion chip. The converted digital signal is transmitted to the signal processing unit through a high-speed data bus. The preset effective interval is 20%-80% of the full scale of the analog-digital conversion chip or a voltage range of 0.5V-2.5V set according to the input requirements of the signal processing unit.

[0109] SA4, end.

[0110] As shown in Figure 2 The specific working steps of the signal processing unit are as follows:

[0111] SB1, start;

[0112] SB2, receive the wireless signal parameter data transmitted by the signal monitoring unit through a special data interface;

[0113] SB3, use the wavelet transform algorithm to filter, denoise and enhance the signal. This algorithm uses multi-resolution analysis characteristics to decompose and reconstruct the signal at different scales, removes noise interference, and preserves important feature information.

[0114] SB4, the amplitude, phase and frequency component features of the extracted signal, the detailed signal quality standards customized for different communication protocols and application scenarios, and the judgment of the current signal quality level;

[0115] SB5, transmitting the signal quality level information to the control unit through a dedicated data interface, and using analysis of historical signal data and machine learning algorithms to predict the signal quality trend in the future period of time and provide the prediction results to the control unit as a decision reference, wherein the machine learning algorithm is used to predict the signal quality trend based on historical signal data to provide a decision basis for the control unit, and the machine learning algorithm selects any one of a time series analysis algorithm, a regression algorithm and a neural network algorithm based on the application scenario of signal prediction;

[0116] SB6, end.

[0117] As shown in Figure 3 , the specific working steps of the battery state monitoring unit are as follows:

[0118] SC1, start;

[0119] SC2, the coulomb counting technology is used to accurately measure the battery charge and discharge capacity, and the remaining capacity percentage is calculated in real time, the voltage sensor monitors the battery terminal voltage in real time with high resolution and low noise characteristics, the current sensor measures the battery charge and discharge current size and direction according to the Hall effect principle or resistance sampling principle, and the temperature sensor uses high-precision thermistor or thermocouple to monitor the battery working temperature in real time;

[0120] SC3, the battery state data collected by the coulomb sensor, voltage sensor, current sensor and temperature sensor is transmitted to the control unit through independent data channels;

[0121] SC4, real-time monitoring of the working state of the coulomb sensor, voltage sensor, current sensor and temperature sensor and abnormal conditions of the battery, if there is an abnormality, immediately send an alarm information to the control unit;

[0122] SC5, end.

[0123] As shown in Figure 4 , the specific working steps of the wireless communication unit are as follows:

[0124] SD1, start;

[0125] SD2, receiving the control instruction sent by the control unit through the SPI or I2C communication protocol;

[0126] SD3, adjusting its own working parameters according to the instruction, including:

[0127] Transmit power adjustment: adjust the transmit power within the design requirement power range according to the signal strength requirement, increase the transmit power by no more than 30% of the current power when the signal quality level is lower than the preset threshold and the battery power is higher than the first preset proportion, gradually reduce the transmit power by at least 10dBm each time when the battery power is lower than the second preset proportion, until the minimum transmit power-10dBm is reached, wherein the design requirement power range can be self-defined, and by default, it is-20dBm to 33dBm with a step of 1dB;

[0128] Frequency switching: switch to the target frequency band with signal strength≥-85dBm and adjacent channel interference ratio≥40dB;

[0129] Modulation mode adjustment: dynamically select the modulation mode according to the signal quality index, use high-order modulation modes such as 64QAM or 256QAM when SNR≥25dB, use 16QAM or QPSK modulation mode when 15dB≤SNR<25dB, and use low-order modulation modes such as BPSK when SNR<15dB;

[0130] Communication protocol adaptation: according to different communication scene parameters and signal quality indexes, automatically select the appropriate communication protocol according to the preset rules to improve the communication compatibility and efficiency, and the preset rules can be self-defined, and by default, in the wide area coverage scene and signal strength≤-100dBm, select LTE-M or NB-IoT protocol, in the high-speed data scene, when the demand rate≥100Mbps and SNR≥20dB, automatically switch to 5GNR or Wi-Fi6 protocol, and in the short distance low power consumption scene, select Bluetooth 5.0 or Zigbee protocol;

[0131] SD4, end.

[0132] As shown in Figure 5 , the specific working steps of the battery management unit are as follows:

[0133] SE1, start;

[0134] SE2, receive the control instruction sent by the control unit;

[0135] SE3, when the signal quality is poor and the device power consumption increases, use a combination of multiple charging methods to speed up the battery charging speed, wherein the multiple charging methods are respectively: applying high-current pulse in the pulse charging stage to quickly supplement the power, maintaining constant charging current in the constant current charging stage to gradually increase the power, and maintaining constant charging voltage in the constant voltage charging stage to prevent battery overcharging;

[0136] SE4, when the device is in a low-power consumption state, use intermittent discharge or reduce the discharge current to optimize the discharge strategy and reduce the self-discharge loss of the battery;

[0137] SE5, monitoring and regulating the voltage of each single battery in the battery pack, balancing the power of each single battery, prolonging the service life of the battery pack;

[0138] SE6, end.

[0139] As Figure 6 shown, the specific working steps of the broadcast sending module are as follows:

[0140] SF1, start;

[0141] SF2, the broadcast sending module is connected with the signal monitoring unit and the signal processing unit, and periodically acquires the wireless signal parameters and signal quality level information every 1 second interval in real time;

[0142] SF3, the integrated data is packaged according to a specific binary data format, and the data is encrypted using the AES algorithm to ensure the security of data transmission;

[0143] SF4, using low-power Bluetooth or a custom low-power wireless communication protocol, the encrypted data is broadcast to the broadcast receiving module through a dedicated radio frequency transmitting circuit;

[0144] SF5, end.

[0145] As Figure 7 shown, the specific working steps of the broadcast receiving module are as follows:

[0146] SG1, start;

[0147] SG2, continuously monitor the specific wireless channel to receive the signal condition data broadcast from other units;

[0148] SG3, after receiving the data, the signal parameters and quality level information are extracted according to the corresponding binary data format for analysis;

[0149] SG4, using data filtering and preprocessing functions, according to the preset simple rules, data is filtered within the range of signal strength ≥-100dBm and signal quality level ≥2, while filtering abnormal data with signal-to-noise ratio <10dB or bit error rate >10^-3, after preliminary screening of the data to remove obvious abnormal or invalid data, the filtered data is temporarily stored in the cache;

[0150] SG5, the data in the cache is transmitted to the control unit through a high-speed data interface;

[0151] SG6, end.

[0152] As Figure 8 shown, the specific working steps of the control unit are as follows:

[0153] SH1, start;

[0154] SH2, respectively, from the signal processing unit to obtain signal quality level information and signal quality trend prediction results, from the battery state monitoring unit to obtain battery state data, and from the signal broadcast interaction unit to receive signal condition data broadcast by other units;

[0155] SH3, when making decisions by fusing data of the signal broadcast interaction unit, different weights are assigned to signal condition data broadcast by different units according to hardware performance, environmental complexity and distance from other units, the unit data with superior hardware performance, in a simple signal propagation environment and close to the signal source is given a data weight coefficient of 0.8-1.0, and other conditions are given a weight coefficient of 0.5-0.7, wherein the weight 0.8-1.0 is high-quality data: antenna gain ≥ 5dBi, distance from signal source ≤ 50m, and environmental obstacles ≤ 2 / 100m, and the weight 0.5-0.7 is ordinary data: antenna gain < 5dBi or distance from signal source > 50m or environmental obstacles > 2 / 100m;

[0156] SH4, based on the reliability, spatial position relationship and time sequence change of signal data of each unit, when the signal quality level is lower than level 3, if the battery power is higher than the first preset proportion, the control unit generates an instruction to increase 10%-30% based on the current power; if the battery power is lower than the second preset proportion, the control unit generates an instruction to reduce the transmission power to ≤ 10dBm, and switches to a frequency band with signal strength ≥ -85dBm and adjacent channel interference ratio ≥ 40dB, the frequency band switching comprehensively considers signal strength, interference condition and frequency band availability, and the specific comprehensive consideration operation is determined according to actual needs of the user, in addition, the signal quality threshold, the first preset proportion and the second preset proportion parameters are dynamically adjusted according to different use scenarios and device types;

[0157] SH5, based on the above decisions, a control instruction is generated and transmitted to the wireless communication unit and the battery management unit through a communication protocol;

[0158] SH6, end.

[0159] In order for those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings.

[0160] It should be noted that the embodiments in the present application and the features and technical solutions in the embodiments can be combined with each other without conflict.

[0161] It should be noted that: similar reference numbers and letters represent similar items in the following drawings, therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0162] The above examples are only used to illustrate the present application and not to limit the technical solutions described in the present application. Although the present application has been described in detail with reference to the above various embodiments, the present application is not limited to the above specific embodiments. Therefore, any modification or equivalent replacement of the present application; and all technical solutions and improvements without departing from the spirit and scope of the application are all included in the scope of the claims of the present application.

Claims

1. A wireless communication battery management system with adaptive signal adjustment function, characterized in that, include: Signal monitoring unit: Used to monitor the parameter data of wireless signals in real time and transmit them to the signal processing unit. This unit includes a multi-band antenna and signal acquisition circuit. Signal processing unit: Connected to the signal monitoring unit, it receives parameter data of the wireless signal from the signal monitoring unit, performs filtering, noise reduction, and enhancement processing on the signal through a preset signal processing algorithm, extracts features from the processed signal, including the amplitude, phase, and frequency components, and then determines the current signal quality level according to the preset signal quality standards and transmits it to the control unit. The signal quality standards include: signal strength index, signal-to-noise ratio index, bit error rate index, and interference intensity index. The signal quality level adopts a multi-level quantization classification, which can be customized. By default, the signal quality level is based on a 4-level quantization classification of signal strength index, signal-to-noise ratio index, bit error rate index, and interference intensity index. Battery Status Monitoring Unit: Monitors battery status data in real time through high-precision sensors and transmits it to the control unit. The high-precision sensors include a power sensor, a voltage sensor, a current sensor, and a temperature sensor. Control Unit: Connected to the signal processing unit and the battery status monitoring unit respectively, it integrates the signal quality level information from the signal processing unit and the battery status data from the battery status monitoring unit, and generates control commands according to preset strategies and algorithms. When the signal quality level is lower than level 3, if the battery power is higher than the first preset ratio, the control unit generates a command to increase the power by 10%-30% based on the current power. If the battery power is lower than the second preset ratio, the control unit generates a command to reduce the transmission power to ≤10dBm and switch to a frequency band with a signal strength ≥-85dBm and an adjacent channel interference ratio ≥40dB. The first preset ratio can be customized and is set to 60% by default. The second preset ratio can also be customized and is set to 20% by default. Wireless communication unit: Connected to the control unit, used to adjust its own operating parameters according to the instructions of the control unit to achieve adaptive signal adjustment; Battery Management Unit: Connected to the control unit, it optimizes the battery charging and discharging process according to the control unit's instructions. When the signal quality level is ≤2 and the device power consumption exceeds 150% of the rated power consumption, it starts the fast charging mode and adopts a strategy combining multiple charging methods, including pulse charging, constant current charging and constant voltage charging. Pulse charging stage: charging to 60% capacity at 2C current, where C is the battery capacity. Constant current stage: charging to 80% capacity at 1C current. Constant voltage charging: maintaining 4.2V voltage until charging is completed, and the charging current drops to below 0.1C. Signal broadcasting and interaction unit: responsible for broadcasting and interacting with signal status between various units of the system. It includes a broadcast sending module and a broadcast receiving module. The broadcast sending module is connected to the signal monitoring unit and the signal processing unit, and the broadcast receiving module is connected to the control unit.

2. The wireless communication battery management system with signal adaptive adjustment function according to claim 1, characterized in that, The multi-band antenna adopts a distributed layout design, with multiple antennas installed at different locations on the device to improve the all-round coverage of signal reception and reduce signal blind spots. The signal acquisition circuit has an automatic gain control function, which can automatically adjust the gain according to the received signal strength, so that the voltage amplitude of the digital electrical signal is within the preset effective range of the input dynamic range of the analog-to-digital converter chip, thereby improving the accuracy of signal processing.

3. The wireless communication battery management system with signal adaptive adjustment function according to claim 1, characterized in that, The specific working steps of the signal monitoring unit are as follows: SA1, Begin; SA2, with its wideband reception capability, continuously scans and receives wireless signals in the surrounding environment, including 4G and 5G frequency bands. The distributed layout design of the multi-band antenna collects signals from different locations of the device, expanding the signal reception range and reducing signal blind spots. SA3, the signal acquisition circuit uses a high-precision analog-to-digital converter chip to convert the received analog wireless signal into a digital electrical signal. It uses automatic gain control to dynamically adjust the gain according to the signal strength, so that the voltage amplitude of the digital electrical signal is within the preset effective range of the input dynamic range of the analog-to-digital converter chip. The converted digital signal is then transmitted to the signal processing unit through a high-speed data bus. The preset effective range is 20%-80% of the full scale of the analog-to-digital converter chip or a voltage range of 0.5V-2.5V set according to the input requirements of the signal processing unit. SA4, End.

4. The wireless communication battery management system with signal adaptive adjustment function according to claim 1, characterized in that, The specific working steps of the signal processing unit are as follows: SB1, Begin; SB2 receives wireless signal parameter data from the signal monitoring unit via a dedicated data interface; SB3. Wavelet transform algorithm is used to filter, denoise and enhance the signal. This algorithm uses the multi-resolution analysis characteristics to decompose and reconstruct the signal at different scales, remove noise interference and retain important feature information. SB4. Extract the amplitude, phase, and frequency components of the processed signal, and determine the current signal quality level based on detailed signal quality standards customized for different communication protocols and application scenarios. SB5 transmits signal quality level information to the control unit through a dedicated data interface. Simultaneously, it uses the analysis of historical signal data and machine learning algorithms to predict the signal quality change trend in the future period and provides the prediction results to the control unit as a decision reference. The machine learning algorithm is used to predict the signal quality change trend based on historical signal data to provide a basis for decision-making for the control unit. The machine learning algorithm is selected from time series analysis algorithm, regression algorithm and neural network algorithm based on the application scenario of signal prediction. SB6, End.

5. The wireless communication battery management system with signal adaptive adjustment function according to claim 1, characterized in that, The specific working steps of the battery status monitoring unit are as follows: SC1, Start; SC2: The power sensor uses coulomb meter technology to accurately measure the battery's charge and discharge capacity and calculate the remaining power percentage in real time. The voltage sensor, with its high resolution and low noise characteristics, monitors the battery terminal voltage in real time. The current sensor, based on the Hall effect principle or resistance sampling principle, measures the magnitude and direction of the battery's charge and discharge current. The temperature sensor uses a high-precision thermistor or thermocouple to monitor the battery's operating temperature in real time. SC3, the power sensor, voltage sensor, current sensor, and temperature sensor transmit the collected battery status data to the control unit through independent data channels; SC4 monitors the working status of the power sensor, voltage sensor, current sensor, and temperature sensor, as well as any abnormal battery conditions in real time. If any abnormality is detected, it immediately sends an alarm message to the control unit. SC5, End.

6. The wireless communication battery management system with signal adaptive adjustment function according to claim 1, characterized in that, The specific working steps of the wireless communication unit are as follows: SD1, Start; SD2 receives control commands sent by the control unit via SPI or I2C communication protocols; SD3 adjusts its own operating parameters according to instructions, including: Transmit power adjustment: Adjust the transmit power within the design power range according to the signal strength requirements. When the signal quality level is lower than the preset threshold and the battery level is higher than the first preset ratio, increase the transmit power by no more than 30% of the current power. When the battery level is lower than the second preset ratio, gradually decrease the transmit power by at least 10dBm each time until the minimum transmit power of -10dBm is reached. The design power range can be customized. By default, it is -20dBm to 33dBm in 1dB increments. Frequency switching: Switch to the target frequency band with a signal strength ≥ -85dBm and an adjacent channel interference ratio ≥ 40dB; Modulation mode adjustment: The modulation mode is dynamically selected according to the signal quality index. When SNR≥25dB, a high-order modulation mode such as 64QAM or 256QAM is used. When 15dB≤SNR<25dB, a 16QAM or QPSK modulation mode is used. When SNR<15dB, a low-order modulation mode such as BPSK is used. Adaptive communication protocol: Based on different communication scenario parameters and signal quality indicators, the system automatically selects the appropriate communication protocol according to preset rules to improve communication compatibility and efficiency. The preset rules can be customized. By default, in wide-area coverage scenarios and when the signal strength is ≤-100dBm, the system selects the LTE-M or NB-IoT protocol. In high-speed data scenarios with a required rate of ≥100Mbps and SNR ≥20dB, the system automatically switches to the 5GNR or Wi-Fi 6 protocol. In short-range low-power scenarios, the system selects the Bluetooth 5.0 or Zigbee protocol. SD4, End.

7. The wireless communication battery management system with signal adaptive adjustment function according to claim 1, characterized in that, The specific working steps of the battery management unit are as follows: SE1, Begin; SE2 receives control commands sent by the control unit; SE3. When poor signal quality leads to increased device power consumption, a strategy combining multiple charging methods is adopted to accelerate battery charging speed. The multiple charging methods are: applying high current pulses to quickly replenish the power during the pulse charging stage, maintaining a constant charging current to gradually increase the power during the constant current charging stage, and maintaining a constant charging voltage to prevent battery overcharging during the constant voltage charging stage. SE4. When the device is in a low power consumption state, the discharge strategy is optimized by intermittent discharge or reducing the discharge current to reduce battery self-discharge loss. SE5 monitors and adjusts the voltage of each individual cell in the battery pack to ensure balanced charge of each cell and extend the battery pack's lifespan. SE6, End.

8. The wireless communication battery management system with signal adaptive adjustment function according to claim 1, characterized in that, The specific working steps of the broadcast sending module are as follows: SF1, Begin; SF2, the broadcast transmission module is connected to the signal monitoring unit and the signal processing unit, and periodically acquires wireless signal parameters and signal quality level information every 1 second; SF3. Data packaged and integrated according to a specific binary data format is encrypted using the AES algorithm to ensure data transmission security. SF4. Utilize Bluetooth Low Energy or a custom low-power wireless communication protocol to broadcast encrypted data to the broadcast receiver module via a dedicated radio frequency transmitting circuit; SF5, End.

9. The wireless communication battery management system with signal adaptive adjustment function according to claim 1, characterized in that, The specific working steps of the broadcast receiving module are as follows: SG1, Begin; SG2: Continuously monitors a specific wireless channel and receives signal status data broadcast from other units; SG3. After receiving the data, parse it according to the corresponding binary data format and extract the signal parameters and quality level information; SG4. Using data filtering and preprocessing functions, based on preset simple rules, data is filtered within the range of signal strength ≥ -100dBm and signal quality level ≥ 2. At the same time, abnormal data with signal-to-noise ratio < 10dB or bit error rate > 10^-3 is filtered out. After the data is initially filtered and obvious abnormal or invalid data is removed, the filtered data is temporarily stored in the cache. SG5. Transmits data from the cache to the control unit via a high-speed data interface; SG6, End.

10. The wireless communication battery management system with signal adaptive adjustment function according to claim 1, characterized in that, The specific working steps of the control unit are as follows: SH1, Start; SH2: Obtain signal quality level information and signal quality change trend prediction results from the signal processing unit, obtain battery status data from the battery status monitoring unit, and receive signal status data broadcast by other units from the signal broadcasting interaction unit. SH3. When making decisions based on data from the integrated signal broadcasting interaction unit, different weights are assigned to the signal data broadcast by different units based on the hardware performance of each signal monitoring unit, the complexity of its environment, and its distance from other units. Data from units with superior hardware performance, located in simple signal propagation environments, and close to the signal source are assigned a data weight coefficient of 0.8-1.0, while data from other units are assigned a weight coefficient of 0.5-0.

7. SH4. Based on the reliability, spatial relationship, and time series changes of the signal data of each unit, when the signal quality level is lower than level 3, if the battery power is higher than the first preset ratio, the control unit generates an instruction to increase the power by 10%-30% based on the current power; if the battery power is lower than the second preset ratio, the control unit generates an instruction to reduce the transmission power to ≤10dBm and switch to a frequency band with a signal strength ≥-85dBm and an adjacent channel interference ratio ≥40dB. The frequency band switching comprehensively considers the signal strength, interference situation, and frequency band availability. The specific comprehensive consideration operation depends on the actual needs of the user. In addition, the signal quality threshold, the first preset ratio, and the second preset ratio parameters are dynamically adjusted according to different usage scenarios and device types. SH5. Based on the above decisions, control commands are generated and transmitted to the wireless communication unit and battery management unit via the communication protocol; SH6, End.

Images