An intelligent low-power fault monitoring method and system for a battery system

Abstract

The present invention belongs to the field of forklift batteries, and specifically relates to an intelligent low-power fault monitoring method and system for a battery system, including: the battery management system enters the standby sleep state, the voltage output switch K1 is disconnected, cutting off the power supply of the main control module to make it enter the sleep state; when the main control module reaches the sleep duration T1, the voltage output switch K1 is closed, enabling the main control module to start working. The main control module collects, processes, and monitors the battery index data in real time. When abnormal data is detected, the main control module will cause the alarm module to generate an alarm signal to prompt the operator to handle the abnormal situation; when the working duration of the main control module reaches the wake-up duration T2 and no abnormal situation is detected during this period, the main control module sends an instruction to the power management module to turn off the voltage output and returns to S1. The present invention dynamically adjusts the sleep cycle according to the monitored data, meets the requirements of the device for monitoring abnormal situations, ensures the safe and stable operation of the device, and reduces the power consumption of the monitoring system.

Description

Technical Field

[0001] The present invention belongs to the field of forklift batteries, and particularly relates to an intelligent low-power fault monitoring method and system for a battery system. Background Art

[0002] After the forklift enters the standby state, all functions will be turned off. During this period, the device cannot detect abnormal situations and respond in a timely manner, and the consequences will be very serious; if the device or its detection system is kept on all the time, abnormal situations can indeed be effectively detected, but the power consumption will be very large, affecting the endurance of the device. The present invention designs a new monitoring system and uses an intelligent low-power monitoring method, so that the device can also detect abnormal situations in a timely manner during standby and reduce the power consumption of the device. Summary of the Invention

[0003] In order to make up for the deficiencies of the prior art, the present invention provides a technical solution for an intelligent low-power fault monitoring method and system for a battery system.

[0004] An intelligent low-power fault monitoring method for a battery system, characterized by comprising:

[0005] S1 The battery management system enters the standby sleep state, the voltage output switch K1 is disconnected, and the power supply to the main control module is cut off to make it enter the sleep state;

[0006] S2 When the main control module reaches the sleep duration T1, the voltage output switch K1 is closed, so that the main control module starts to work. The main control module collects, processes and monitors the battery index data in real time. When abnormal data is detected, the main control module will cause the alarm module to generate an alarm signal to prompt the operator to handle the abnormal situation;

[0007] S3 When the working duration of the main control module reaches the wake-up duration T2 and no abnormal situation is detected during this period, the main control module sends an instruction to the power management module to turn off the voltage output and returns to S1.

[0008] Further, the wake-up duration T2 is set to τ + k, where τ represents the maximum duration of abnormal data before a fault is triggered, and k represents the delay duration.

[0009] Further, the sleep duration T1 is calculated and updated in real time according to the following relationship:

[0010]

[0011]

[0012] where P avgIt represents the system average power consumption, P1 represents the power consumption of the power management module, P2 represents the power consumption of the main control module, τ represents the maximum duration of abnormal data before a fault is triggered, n represents the number of types of monitored metric data; t i It represents the sleep duration required for the i-th battery metric data calculated according to formula (1); t 0,i It represents the starting sleep duration set for the i-th battery metric; a TH,i It represents the fault trigger threshold for the i-th battery metric; a i It represents the currently monitored i-th battery metric data; a 0,i It represents the ideal safety value set for the i-th battery metric.

[0013] The above-mentioned fault monitoring method can dynamically adjust the sleep cycle according to the monitored data, which not only meets the needs of device monitoring for abnormal situations, ensures the safe and stable operation of the device, but also reduces the power consumption of the monitoring system.

[0014] The present invention also provides an intelligent low-power fault monitoring system, which includes a power supply, a power management module, a main control module, and an alarm module that are electrically connected in sequence. The power management module includes a step-down function module, a communication function module, a voltage output switch K1, a timing function module, and a wake-up signal detection module. The step-down function module is electrically connected to the power supply. The step-down function module, the communication function module, the timing function module, and the wake-up signal detection module are all electrically connected to the voltage output switch K1. The voltage output switch K1 is electrically connected to the main control module, and the main control module is also electrically connected to the communication function module.

[0015] The above-mentioned fault monitoring system enables the device to timely detect abnormal situations during standby and reduces the device power consumption by designing a new type of monitoring system and applying an intelligent low-power monitoring method. Description of the Drawings

[0016] Figure 1 It is a flowchart of an intelligent low-power fault monitoring method for a battery system according to the present invention;

[0017] Figure 2 It is a schematic diagram of the circuit relationship of an intelligent low-power fault monitoring system according to the present invention. Detailed Embodiments

[0018] In the description of the present invention, it should be understood that the orientation or positional relationships indicated by terms such as "one end", "the other end", "outer side", "upper", "inner side", "horizontal", "coaxial", "center", "end portion", "length", "outer end", etc. are based on the orientation or positional relationships shown in the drawings. These are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the present invention.

[0019] The present invention will be further described below with reference to the drawings.

[0020] Please refer to Figure 1 , an intelligent low-power fault monitoring method for a battery system. After the device enters the standby and then the sleep state, the main control module 3 with relatively high power consumption is turned off, and the low-power power management module 2 is retained to run. When the timing reaches the configured sleep duration, the voltage is re-output to wake up the main control module 3. After the main control module 3 is woken up, it calculates the optimal sleep duration T1 and transmits the optimal sleep duration T1 to the power management module through the communication link. Specifically, it includes:

[0021] S1 When the wake-up signals (Key_On signal and Chg_A+ signal) disappear, the battery management system enters the standby sleep state, the voltage output switch K1 is disconnected, the power supply to the main control module is cut off to make it enter the sleep state, and at this time, the timing function of the power management module is activated.

[0022] S2 When the timing reaches the sleep duration T1, the timing function module controls the voltage output switch K1 to close, so that the main control module starts to work again. After the main control module starts to work, it will collect, process and monitor the battery index data in real time, such as battery temperature, battery voltage, battery current, etc. When abnormal data is detected, such as too high or too low battery temperature, too high or too low battery voltage, too low SOC, etc., the main control module will control devices such as a buzzer and an audible and visual alarm to generate an alarm signal to prompt the operator to handle the abnormal situation. After the main control module 3 is woken up, it calculates the optimal sleep duration T1 and transmits the optimal sleep duration T1 to the power management module 2 through the communication link.

[0023] S3 The main control module itself has a timing function. When the working duration of the main control module reaches the pre-set wake-up duration T2 and no abnormal situation is detected during this period, the main control module sends an instruction to the power management module to turn off the voltage output through the communication link. After the voltage output switch K1 is disconnected, the main control module enters the sleep state again.

[0024] Repeat the above steps, where the sleep duration T1 will be updated in real time according to the change of parameters.

[0025] Further, the wake-up duration T2 is set to τ + k, where τ represents the maximum duration of abnormal data before a fault is triggered. For example, if the threshold for fault 1 is set to a1 and the duration is t1, the threshold for fault 2 is set to a2 and the duration is t2, the threshold for fault 3 is set to a3 and the duration is t3... (“duration” means that the time exceeds the fault threshold and lasts for t, and the system considers that a fault has been triggered), then the “maximum duration of abnormal data before a fault is triggered” refers to max(t1, t2, t3...). k represents the delay duration, and k is preferably 3 seconds.

[0026] The factors affecting the total power consumption of the monitoring system are as follows: 1. The power consumption P1 of the power management module; 2. The power consumption P2 of the main control module; 3. The sleep duration T1 and the wake-up duration T2. Among them, P1 and P2 are fixed values after measurement, so the average power consumption of the system is related to the sleep duration T1 of the main control module, and its expression is:

[0027]

[0028] When T1 satisfies the conditions of formula (2), the sleep duration of the system will reach the optimal value, and at the same time, the average power consumption of the system will also be reduced:

[0029]

[0030] The sleep duration T1 is calculated and updated in real time according to the above relationship.

[0031] In the above formula, n represents the number of types of monitored index data; t i represents the sleep duration required for the i-th battery index data calculated according to formula (1); t 0,i represents the starting sleep duration set for the i-th battery index; a TH,i represents the fault trigger threshold for the i-th battery index; a i represents the currently monitored i-th battery index data; a 0,i represents the ideal safety value set for the i-th battery index. In formula (2), when the monitored data exceeds the fault threshold, the sleep duration T1 is set to 0. At this time, the system no longer enters the sleep state, and an alarm is triggered to remind the operator to troubleshoot the fault.

[0032] Please refer to Figure 2, An intelligent low-power fault monitoring system for implementing the above monitoring method, which includes a power supply 1, a power management module 2, a main control module 3, and an alarm module 4 that are electrically connected in sequence. The power management module 2 includes a buck function module 20, a communication function module 21, a voltage output switch K1, a timing function module 22, and a wake-up signal detection module 23. The buck function module 20 is electrically connected to the power supply 1, and the buck function module 20, the communication function module 21, the timing function module 22, and the wake-up signal detection module 23 are all electrically connected to the voltage output switch K1. The voltage output switch K1 is electrically connected to the main control module 3, and the main control module 3 is also electrically connected to the communication function module 21.

[0033] Among them, the power management module 2 is located between the power supply 1 and the main control module 3. Its communication function module 21 can receive the optimal sleep cycle output by the main control module 3 and configure it to the timing function module 22 to achieve the dynamic adjustment of the sleep cycle. It also has the following functions:

[0034] 1. Convert the supply voltage to a voltage level suitable for the operation of the main control module 3;

[0035] 2. Turn on and off the voltage output according to the wake-up signal, the set sleep self-wake-up cycle, and the control instruction of the main control module 3.

[0036] Among them, the functions of the main control module 3 are:

[0037] 1. Responsible for collecting, processing, and monitoring index data;

[0038] 2. When an abnormal situation is detected, control the alarm module to alarm;

[0039] 3. Calculate the optimal sleep cycle based on the collected data and send it to the power management module 2 through the communication link.

[0040] When a wake-up signal is detected, the power management module 2 directly closes the voltage output switch K1 to wake up the main control module 3 to work. At the same time, the timing function of the timing function module 22 is blocked; when the wake-up signal disappears, the timing function module 22 is restarted; or when the main control module 3 detects that it needs to enter the sleep state, the main control module 3 will send an instruction to disconnect the voltage output switch K1 to the power management module 2 through the communication link. After stopping the voltage output, the timing function is restarted.

[0041] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent low-power fault monitoring method for a battery system, characterized in that, Including: S1 The battery management system enters the standby and sleep state, the voltage output switch K1 is disconnected, cutting off the power supply to the main control module to make it enter the sleep state; S2 When the main control module reaches the sleep duration T1, the voltage output switch K1 is closed, enabling the main control module to start working. The main control module collects, processes, and monitors the battery index data in real time. When abnormal data is detected, the main control module controls the alarm module to generate an alarm signal to prompt the operator to handle the abnormal situation; S3 When the working duration of the main control module reaches the wake-up duration T2 and no abnormal situation is detected during this period, the main control module sends an instruction to the power management module to turn off the voltage output and returns to S1; The wake-up duration T2 is set to τ + k, where τ represents the maximum continuous duration of abnormal data before the fault is triggered, and k represents the delay duration; The sleep duration T1 is calculated and updated in real time according to the following relationship: Among them, P avg represents the average power consumption of the system, P1 represents the power consumption of the power management module, p2 represents the power consumption of the main control module, τ represents the maximum duration of abnormal data before a fault is triggered, and n represents the number of types of monitored indicator data; t i represents the sleep duration required for the i-th battery indicator data calculated according to formula (1); t 0,i represents the starting sleep duration set for the i-th battery indicator; a TH,i represents the fault trigger threshold for the i-th battery indicator; a i represents the currently monitored i-th battery indicator data; a 0,i represents the ideal safety value set for the i-th battery indicator.

2. An intelligent low-power fault monitoring system for a battery system, which is used to implement the intelligent low-power fault monitoring method as described in Claim 1, and is characterized in that, Including a power supply, a power management module, a main control module, and an alarm module that are electrically connected in sequence. The power management module includes a step-down function module, a communication function module, a voltage output switch K1, a timing function module, and a wake-up signal detection module. The step-down function module is electrically connected to the power supply. The step-down function module, the communication function module, the timing function module, and the wake-up signal detection module are all electrically connected to the voltage output switch K1. The voltage output switch K1 is electrically connected to the main control module. The main control module is also electrically connected to the communication function module.

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