Multi-mode timed wake-up system and method of battery management system

Abstract

The invention relates to the technical field of power batteries, and discloses a multi-mode timing wake-up system and method for a battery management system, and the method comprises the steps: 1, setting four wake-up modes according to the state of a vehicle, and respectively setting a trigger condition and an operation mode in the corresponding mode; 2, collecting the parameter change state of the wake-up source in real time, and judging whether the trigger condition of each mode is met or not; step 3, when the triggering condition is met, correspondingly switching to an awakening mode to control the battery management system according to a set operation mode; and when a plurality of modes are met at the same time, performing priority ranking on the wake-up modes, and preferentially switching to the mode with higher priority. Through a dynamic priority preemption mechanism, a parameter adaptive algorithm and a low-power-consumption design, the defects of a traditional BMS fixed wake-up strategy are optimized, and more efficient battery management is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of power batteries, and particularly to a multi-mode timing wake-up system and method for a battery management system. Background Art

[0002] With the popularization of electric vehicles and various battery-driven devices, the battery management system (BMS) plays a crucial role in the monitoring, protection, and management of batteries. The BMS usually needs to periodically wake up the system for battery state monitoring and data acquisition. Currently, most BMSs adopt a timing wake-up method based on a fixed time interval, that is, unconditionally wake up the system within a preset period for state monitoring and data acquisition. Although this static design is simple to implement, it is difficult to adapt to the dynamic requirements of vehicles in different operating modes (such as driving, charging, and sleeping), resulting in obvious deficiencies in aspects such as energy efficiency, real-time performance, and safety.

[0003] For example, when the vehicle is in the sleeping state, frequent fixed-period wake-ups will introduce additional static current losses, causing unnecessary energy waste. And in complex working conditions such as fast charging, low temperature, or high load, due to the lack of dynamic adjustment ability of the wake-up period, the system is difficult to detect abnormal situations such as voltage mutations in a timely manner, thus increasing the risk of thermal runaway. In addition, the battery equalization method of traditional BMSs is usually bound to a fixed wake-up period, which can neither be adjusted according to the actual state of the battery nor support efficient multiple equalizations, resulting in a long equalization process and limited effects, further affecting the overall performance and life of the battery pack. Summary of the Invention

[0004] The present invention aims to provide a multi-mode timing wake-up system and method for a battery management system to solve the problems of high energy consumption, response delay, low equalization efficiency, and inability to optimize and adjust for various working conditions in the existing wake-up methods.

[0005] To achieve the above object, the present invention adopts the following technical solutions. Solution 1, A multi-mode timing wake-up method for a battery management system, comprising the following steps: Step 1, Set four wake-up modes according to the vehicle state, and respectively set trigger conditions and operating modes in the corresponding modes. Step 2, Real-time collect the change state of the wake-up source parameters, and determine whether the trigger conditions of each mode are met. Step 3, When the trigger conditions are met, switch to the wake-up mode correspondingly and control the battery management system according to the set operating mode. When there are multiple modes that are simultaneously satisfied, prioritize the wake-up modes, and preferentially switch to the mode with a higher priority.

[0006] Solution 2: A multi-mode timing wake-up system for a battery management system, which is applied to the multi-mode timing wake-up method of the above battery management system, includes a signal detection unit for collecting wake-up source parameters and obtaining their change status; an event trigger unit for determining whether the wake-up source parameters meet the trigger conditions, and if so, feeding back to the mode scheduling unit; a mode scheduling unit for determining the priority of the satisfied modes and allocating mode resources according to the priority; and an execution unit for controlling the battery management system according to the allocated wake-up mode.

[0007] The principle and advantages of this solution are as follows: In the prior art, traditional BMS adopts a fixed wake-up strategy and cannot adapt to complex working conditions (such as fast charging, low temperature), resulting in high energy consumption, slow response, low equalization efficiency, and the self-discharge differences of stationary batteries have been ignored for a long time. This solution sets four wake-up modes according to the vehicle state and a dynamic priority mechanism based on real-time working conditions, enabling the system to intelligently judge the execution timing of key tasks. It not only solves the adaptability deficiency of traditional solutions in complex scenarios, but also reduces the standby power consumption of the system through low-power technologies such as time-sharing power supply and intelligent sleep, while improving the equalization efficiency.

[0008] Secondly, this solution is different from the conventional idea of simply stacking functional modules. This solution deeply integrates real-time scheduling algorithms with battery characteristics, enabling the voltage difference threshold to be dynamically adjusted with temperature changes, and the equalization current to be automatically optimized according to historical data. This cross-domain innovative application enables the system to not only respond promptly to sudden working conditions such as fast charging, but also effectively suppress the self-discharge differences in the stationary state, improving the cycle life of the battery pack.

[0009] The advantages of this solution are as follows: The response delay caused by fixed-cycle detection is eliminated through dynamic task scheduling, significantly improving the system safety.

[0010] The best balance between energy efficiency and performance is achieved by means of an adaptive algorithm, overcoming the contradiction between energy consumption and equalization efficiency in traditional solutions.

[0011] The innovative low-power design provides a more reliable power management solution for application scenarios such as electric vehicles and energy storage systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 It is a schematic structural diagram of a multi-mode timing wake-up method for a battery management system of the present invention.

[0013] Figure 2 It is a flowchart of the operation of the sleep equalization mode in a multi-mode timing wake-up method for a battery management system of the present invention.

[0014] Figure 3It is the flowchart of the operation of the post - charging equalization mode in the multi - mode timed wake - up method of a battery management system according to the present invention.

[0015] Figure 4 It is the flowchart of the operation of the post - driving detection mode in the multi - mode timed wake - up method of a battery management system according to the present invention.

[0016] Figure 5 It is the flowchart of the operation of the normal inspection mode in the multi - mode timed wake - up method of a battery management system according to the present invention.

[0017] Figure 6 It is the logic block diagram of the multi - mode timed wake - up system of a battery management system according to the present invention.

[0018] Figure 7 It is the hardware architecture diagram of the multi - mode timed wake - up system of a battery management system according to the present invention. Detailed implementation manners

[0019] The following is a further detailed description through specific implementation manners: Embodiment 1 A multi - mode timed wake - up system and method for a battery management system in this embodiment dynamically switches among four modes: normal inspection, driving, charging, and sleep equalization. It matches the optimal wake - up period and task priority according to the working conditions to ensure wake - up on demand and avoid energy waste. At the same time, it reduces the number of ineffective wake - ups in the sleep state, optimizes the energy consumption, and increases the fault detection frequency for key modes to improve the monitoring safety of the system. Thus, the standby power consumption of the system is reduced, the equalization efficiency is improved, and the cycle life of the battery pack is effectively extended.

[0020] Solution 1, A multi - mode timed wake - up method for a battery management system, as shown in the appendix Figure 1 The wake - up method includes the following steps: S1, Set four wake - up modes according to the vehicle state, and respectively set the trigger conditions and operation modes in the corresponding modes.

[0021] In this embodiment, the wake - up modes are set to four according to the vehicle state, including the sleep equalization mode, the post - charging equalization mode, the post - driving detection mode, and the normal inspection mode. And various wake - up modes are set in detail, which will be described in detail below.

[0022] a) Sleep equalization mode.

[0023] The dormant balancing mode is mainly to balance the micro-current during the static period and suppress the accumulation of self-discharge differences. In the existing technology, the self-discharge difference of the static battery pack will lead to capacity decay. According to statistics, the monthly decay amount is >3%. However, traditional solutions generally ignore the key compensation method of micro-current balancing. The reason is that, first of all, the traditional BMS design pays more attention to battery management under active conditions, and believes that the self-discharge difference in the static state is an acceptable loss. It fails to realize that its cumulative effect will significantly accelerate the overall decay of the battery pack. Secondly, the industry has long focused on voltage consistency in balancing, and underestimated the profound impact of tiny current differences in the static state on the long-term health of the battery. This cognitive bias has caused the industry to regard static self-discharge as an uncontrollable factor rather than an optimizable link for a long time. This solution breaks the inherent cognitive bias, breaks through the precision control limitations of micro-current balancing, and fully considers the serious impact of micro-current accumulation. Therefore, a dormant balancing mode is set. Its operation process is as shown in the attached figure. Figure 2 shown.

[0024] In this embodiment, the triggering conditions of the sleep balance mode are: the sleep balance conditions are met, the single cell voltage is greater than 3V, the single cell voltage - the average voltage is 0.015V~0.3V, the maximum single cell temperature is less than 50°C, the minimum single cell temperature is greater than -20°C, and the RTC wakes up in stages in the static state.

[0025] The operation mode is: 10 scheduled wake-up times within every 24 hours, the first 9 scheduled wake-up times have an interval of 0.25h, and the 10th scheduled wake-up time interval is In low power mode, only the voltage sampling circuit is activated to detect the voltage difference of each cell and make dynamic adjustments based on the voltage difference.

[0026] When the voltage difference is greater than 10mV, micro-current balancing (such as 10mA current) is started to avoid deep discharge that affects battery life.

[0027] At the same time, in this embodiment, a time wheel algorithm is also used to optimize the wake-up interval to avoid energy loss caused by frequent wake-ups. In sleep mode, only the RTC and PMIC basic power supply are maintained, and the sensor is activated on demand after wake-up, such as polling once every 5ms, so as to achieve time-sharing power supply, reduce energy consumption, and realize low-power detection.

[0028] b) Post-charging equalization mode.

[0029] The post-charge balancing mode can also be called the charging end mode, which is to actively balance after fast charging and dynamically optimize the current and trigger conditions. However, fast charging generally causes voltage consistency to deteriorate (ΔV>100mV), and the traditional solution is only a single balance, which is difficult to solve the problem of continuous deterioration. Therefore, this solution sets the post-charge balancing mode to achieve active balancing and effectively solve the problem of continuous deterioration.

[0030] Its operation process is as shown in the appendix Figure 3 As shown, in this embodiment, the trigger condition for the post-charging balancing mode is: overcharging has occurred during the current power-on sequence, the charging pile is disconnected, and at this time, CP changes from 1 to 0.

[0031] Its operation method is: the BMS is woken up regularly 6 times after going to sleep, and the time interval for regular wake-up is 0.5 h. After waking up, it preferentially selects the monomer with the highest voltage and starts the hierarchical balancing control strategy to balance efficiency and power consumption.

[0032] Among them, the hierarchical balancing control strategy includes First-level balancing: when the voltage difference between monomers > 50 mV, a flying capacitor balancing circuit is used to quickly transfer energy.

[0033] Second-level balancing: when the voltage difference between monomers < 50 mV, switch to resistor balancing to reduce power consumption.

[0034] After the balancing is completed, the number of balancing times is recorded. If the number of balancing times per single month > 10 times, an alarm for abnormal battery pack consistency is triggered. Through hierarchical balancing control, the risk of overcharging or over-discharging of the battery is greatly reduced, and the battery life is effectively increased by nearly 20%.

[0035] c) Post-driving detection mode.

[0036] The post-driving detection mode is to delay waking up after high-load operation, perform thermal management and fault diagnosis, and avoid the risk of thermal runaway caused by uneven battery temperature and local overheating after driving. Its operation process is as shown in the appendix Figure 4 As shown.

[0037] In this embodiment, the trigger condition for the post-driving detection mode is: after the completion of high-voltage power-on in the current power-on cycle and the vehicle is turned off, at this time, IGN changes from 1 to 0.

[0038] Its operation method is: the BMS is woken up regularly 3 times after going to sleep, and the time interval for regular wake-up is 1 h; if the temperature > 45 °C, the cycle is shortened to T = 5 minutes, and the cooling fan is started; if the SOC < 20%, a low battery warning is triggered.

[0039] At the same time, the voltage / temperature mutation rate is monitored in real time, and a thermal runaway warning is triggered when the set threshold is reached. For example, when the voltage drop rate > 0.1 V / s or the temperature rise rate > 1 °C / s, a thermal runaway warning is triggered to improve safety and reliability.

[0040] In this embodiment, a safety mechanism is also included, adopting double temperature verification to prevent mis-triggering.

[0041] d) Normal inspection mode.

[0042] The normal inspection mode is to regularly collect battery health parameters (such as State of Health SOH, internal resistance, etc.) to avoid the estimation drift of State of Charge SOC (remaining power) caused by long-term static state and the inaccuracy of aging battery parameters, and ensure the detection accuracy and reliability. Its operation process is as shown in the appendix Figure 5 as follows.

[0043] In this embodiment, the trigger conditions for the normal inspection mode are: the vehicle is turned off and not charging, at this time IGN = 0, CP = 0; the battery SOC > 20%, the difference in single-cell voltage < 50 mV, and the temperature difference < 3 °C.

[0044] Its operation mode is: wake-up period ; wake up once every 2 hours within 12 hours of BMS dormancy, and wake up once every 4 hours if the dormancy exceeds 12 hours; among them, is the aging coefficient (for every 10% decrease in SOH, increases by 0.1), which is determined according to the dormancy time.

[0045] At the same time, in the normal inspection mode, it is also necessary to collect battery health parameters, such as SOH (battery aging degree), internal resistance, etc., and store the operation log, and upload it to the cloud regularly for easy query and call.

[0046] S2. Real-time collect the change status of wake-up source parameters and determine whether the trigger conditions of each mode are met.

[0047] In this embodiment, the wake-up source parameters include the integrated RTC clock signal, vehicle status signal (such as the ignition-off CAN message), charging pile communication signal (such as the CCS protocol message), and voltage / temperature abnormal signal, which are used as the wake-up source input for each mode determination.

[0048] In this embodiment, during the detection and determination process, it also includes dynamically adjusting the voltage difference threshold to ensure that the threshold can be reduced at high temperatures, and the threshold can be relaxed for aging batteries to improve safety and service life.

[0049] Among them, the dynamic adjustment of the voltage difference threshold is dynamically optimized according to the ambient temperature and battery type (such as lithium iron phosphate or ternary battery). For example, for every 10 °C increase in temperature, the threshold is reduced by 5 mV. The specific adjustment can be calculated according to the following formula: ; In the formula, is the basic voltage threshold, which can be set to 50 mV; k is the temperature compensation coefficient, generally set to 0.5 mV / °C; is the reference temperature, generally set to 25 °C; is the aging influence factor, set to 10 mV / 10%; is the aging coefficient. By combining temperature and the aging coefficient to optimize the balancing strategy, parameter adaptive adjustment is achieved, thereby reducing ineffective operations by nearly 70% and greatly reducing energy consumption.

[0050] S3. When the trigger condition is met, it correspondingly switches to the wake-up mode and controls the battery management system according to the set operating mode.

[0051] When there are multiple modes that are simultaneously satisfied, the wake-up modes are sorted by priority, and it preferentially switches to the mode with a higher priority.

[0052] In this embodiment, according to the set four wake-up modes, a preliminary priority sorting is performed on the four modes, and the sorting order is the sleep balancing mode > the post-charge balancing mode > the post-driving detection mode > the normal inspection mode. High-priority tasks are preferentially processed according to the sorting. The above sorting is the sorting order under normal circumstances, and the specific sorting can be based on the set timed wake-up time for each mode for priority sorting. The smaller the timed wake-up time, the higher the priority.

[0053] Under normal circumstances, when there are multiple modes in parallel, after the mode with a smaller timed wake-up time is completed, the normal inspection will take over to wake up and detect the battery health and safety status. When it is detected that there are multiple modes simultaneously, that is, when there is a mode conflict, the low-priority task is interrupted by the high-priority event during execution, then the current state is saved and the mode is switched. For example, if the normal inspection is preempted by the charge end signal during charging, it will enter the sleep state and then be woken up regularly for charging.

[0054] In this embodiment, in the case of multiple modes in parallel, first, sorting processing is performed according to the set priority dominant principle, such as the sleep balancing mode > the post-charge balancing mode > the post-driving detection mode > the normal inspection mode, so that the high-priority mode is preferentially executed. However, when there is a parallel state under the same priority situation, a weight refinement method is used for further sorting processing. Among them, when the same-priority modes coexist (such as multiple high-priority modes are triggered simultaneously), a real-time weight score is calculated for the same-priority modes for sorting, and the mode with a higher weight value preempts first. The calculation method of the weight score can be specifically expressed as ; In the formula, are all weight coefficients, which can be configured according to the working conditions. For example, = 0.6, = 0.3, = 0.1; is the voltage difference; is the timed wake-up time; is the remaining battery power.

[0055] According to the weight score comparison, in the case of the same priority, the one with a higher weight score is preferentially switched, realizing intelligent mode switching and increasing the response speed by 5 times.

[0056] In addition, in the sleep balancing mode and the post-charging balancing mode, there is also an equalization control method. The post-driving detection mode mainly performs thermal management and fault diagnosis, such as starting the cooling fan, low battery warning, etc., and does not involve equalization current control; the normal inspection mode focuses on collecting health parameters and also has no equalization control. Therefore, the equalization current is used to control specific demand modes to achieve the balance of efficiency and power consumption. In this embodiment, based on historical equalization efficiency data, such as the equalization energy loss rate, the current amplitude is adjusted to balance efficiency and power consumption, so as to adapt to different voltage difference scenarios and improve the equalization efficiency. Among them, the sleep balancing mode triggers micro-current equalization (at the 10 mA level) and dynamically adjusts the current amplitude according to the voltage difference. The post-charging balancing mode adopts a hierarchical equalization strategy (flying capacitor equalization and resistor equalization) and switches the current scheme according to the voltage difference.

[0057] Specifically, in this embodiment, the current is first classified, and the classification rules are as follows ; Then, dynamic correction is performed according to the classification rules to achieve the equalization control of the current. The correction method can be expressed as ; In the formula, is the current value at the previous moment; is the equalization efficiency, which represents the improvement degree of the voltage difference; is the cell voltage difference at the previous moment (highest cell voltage - lowest cell voltage); is the cell voltage difference at the current moment (highest cell voltage - lowest cell voltage). Through the equalization current control, the system power consumption is greatly reduced, the equalization efficiency is increased by nearly 30%, and the power consumption is reduced by nearly 40%.

[0058] Solution 2: Provide a multi-mode timing wake-up system for a battery management system, which is applied to the multi-mode timing wake-up method of the above battery management system. As shown in the attached Figure 6 This solution uses a three-level architecture of "event trigger layer - mode scheduling layer - execution control layer" to realize the collaborative control and management of battery multi-modes. Among them, the system hardware architecture is as shown in the attached Figure 7 It adopts a distributed BMS architecture. The main controller MCU is connected to the RTC module and the PMIC module through the SPI / I2C bus. The slave controller is responsible for collecting data on the voltage and temperature of individual batteries. The high-voltage controller integrates the insulation detection function and supports multi-mode collaborative operation.

[0059] The wake-up system software architecture includes a signal detection unit, which is used to collect wake-up source parameters and obtain their change status.

[0060] An event trigger unit, which is used to determine whether the wake-up source parameters meet the trigger conditions. If they are met, it will feedback to the mode scheduling unit.

[0061] A mode scheduling unit, which allocates wake-up mode resources based on a dynamic priority algorithm (such as a preemptive state machine), is used to determine the priority of the satisfied modes, and allocate mode resources according to the priority.

[0062] An execution unit, which is used to control the battery management system according to the allocated wake-up mode. It activates sensors, balancing circuits, and communication modules in a time-sharing manner, and dynamically adjusts the power supply domain through the PMIC to reduce power consumption.

[0063] It also includes a communication module unit, which is used to immediately turn off the CAN transceiver after uploading data, reduce the standby current (from 5 mA to 1 mA), achieve the sleep control state of the communication module, and thus reduce energy consumption.

[0064] Applying this embodiment to different scenarios for testing, the following test results are obtained.

[0065] Scenario 1: Testing the corresponding time of equalization triggering in high-temperature / low-temperature scenarios.

[0066] Test conditions: Thermostatic chamber (-10°C / 40°C), battery pack (SOH≥90%), voltage acquisition module (±1 mV).

[0067] Result comparison:

[0068] From the above tests, it can be seen that in complex scenarios such as high temperature or low temperature, the operating mode adopted by this solution has a shorter response time, and the detection results are more sensitive and accurate, with better reliability.

[0069] Scenario 2: Comparing the number of ineffective equalizations of different aged batteries.

[0070] Test conditions: New battery (SOH = 100%), aged battery (SOH = 80%), standing for 7 days.

[0071] Result comparison:

[0072] From the above tests, it can be seen that for new batteries and old batteries, the operating mode adopted by this solution has fewer ineffective equalizations than the traditional solution, thereby reducing unnecessary energy consumption and improving service life and efficiency.

[0073] In this embodiment, through intelligent dynamic scheduling, adaptive algorithms, and low-power design, problems such as high energy consumption, slow response, and low equalization efficiency of traditional BMS are solved. It has significant advantages in improving battery safety, lifespan, and energy efficiency, and has strong technological advancement and market application value.

[0074] Traditional solutions usually execute tasks in a fixed order. This solution establishes a dynamic priority preemption mechanism, dynamically adjusts the execution order according to the importance of different tasks, and dynamically adjusts the priority in combination with the timed wake-up time to ensure the priority response of critical tasks. At the same time, it supports task interruption and recovery to avoid low-priority tasks blocking high-priority events. Secondly, combined with the parameter adaptive algorithm, the voltage difference threshold is set for dynamic adjustment, and the equalization trigger conditions are automatically optimized according to temperature and battery type to avoid ineffective equalization. During operation, through intelligent control of the equalization current, the current is dynamically adjusted based on historical equalization efficiency data to balance energy consumption and equalization speed.

[0075] In addition, in this embodiment, time-sharing power supply is also designed. Only key modules are maintained in the sleep mode, and sensors are activated on demand after waking up to reduce the static current, achieve low-power operation, improve the equalization efficiency, and extend the battery lifespan.

[0076] The above are only embodiments of the present invention. Specific technical solutions and / or common knowledge such as characteristics well known in the art are not described in detail herein. It should be noted that for those skilled in the art, without departing from the technical solution of the present invention, several modifications and improvements can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the implementation effect of the present invention and the practicality of the patent. The protection scope required by this application shall be subject to the content of its claims, and the specific implementation manners described in the specification can be used to interpret the content of the claims.

Claims

1. A multi-mode timing wake-up method for a battery management system, characterized in that It includes the following steps: Step 1: Set four wake-up modes according to the vehicle state, and set trigger conditions and operation modes respectively in the corresponding modes; Step 2: Collect the change status of wake-up source parameters in real time, and determine whether the trigger conditions of each mode are met; Step 3: When the trigger conditions are met, switch to the wake-up mode correspondingly and control the battery management system according to the set operation mode; When multiple modes are satisfied simultaneously, priority sorting is performed on the wake-up modes, and the mode with higher priority is switched to first.

2. The multi-mode timed wake-up method of the battery management system according to claim 1, characterized in that: The wake-up modes include a sleep equalization mode, a post-charge equalization mode, a post-driving detection mode, and a normal inspection mode; The priority sorting is determined according to the set timed wake-up time in each mode, and after a single mode is completed, it switches to the normal inspection mode.

3. The multi-mode timed wake-up method for a battery management system according to claim 2, characterized in that, The trigger conditions are respectively: Sleep equalization mode: meet the sleep equalization conditions, single-cell voltage > 3V, single-cell voltage - average voltage is 0.015V - 0.3V, highest single-cell temperature < 50°C, lowest single-cell temperature > -20°C, RTC wakes up in stages in the static state; Post-charge equalization mode: overcharge has occurred within the current power-on sequence, and the charging pile is disconnected; Post-driving detection mode: high-voltage power-on is completed in the current power-on cycle, and the vehicle shuts off; Normal inspection mode: the vehicle is shut off and not charging; battery SOC > 20%, single-cell voltage difference < 50mV, temperature difference < 3°C.

4. The multi-mode timed wake-up method of the battery management system according to claim 2, wherein The operation modes are respectively: Sleep balance mode: Wake up regularly 10 times within every 24 hours. The time intervals for the first 9 regular wake-ups are 0.25 hours, and the time interval for the 10th regular wake-up is ; and in the low-power mode, only activate the voltage sampling circuit, detect the voltage differences of individual cells, and perform dynamic adjustment according to the voltage differences; Post-charge equalization mode: The BMS wakes up 6 times at a fixed time after going to sleep, and the fixed-time wake-up time interval is 0.5h; after waking up, the single cell with the highest voltage is preferentially selected, and a hierarchical equalization control strategy is started; Post-driving detection mode: The BMS wakes up 3 times at a fixed time after going to sleep, and the fixed-time wake-up time interval is 1h; if the temperature > 45°C, the cycle is shortened to T = 5 minutes, and the cooling fan is started; if the SOC < 20%, a low-battery warning is triggered; At the same time, the voltage / temperature mutation rate is monitored in real time, and when the set threshold is reached, a thermal runaway warning is triggered; Normal inspection mode: Wake-up period ; Wake up once every 2 hours within 12 hours of BMS sleep, and wake up once every 4 hours if the sleep exceeds 12 hours; where is the aging coefficient, which is determined according to the sleep time.

5. The multi-mode timing wake-up method of the battery management system according to claim 1, characterized in that: The wake-up source parameters include an integrated RTC clock signal, a vehicle state signal, a charging pile communication signal, and a voltage / temperature anomaly signal.

6. The multi-mode timed wake-up method of the battery management system according to claim 3, characterized in that: It also includes dynamically adjusting the voltage difference threshold during determination; dynamically optimizing according to the ambient temperature and battery type.

7. The multi-mode timed wake-up method of the battery management system according to claim 4, characterized in that: A safety mechanism is also included in the post-driving detection mode, which uses dual temperature verification to prevent mis-triggering.

8. The multi-mode timed wake-up method for a battery management system according to claim 4, characterized in that The hierarchical equalization control strategy includes: First-level equalization: When the single-cell voltage difference > 50mV, a flying capacitor equalization circuit is used to quickly transfer energy; Second-level equalization: When the single-cell voltage difference < 50mV, switch to resistance equalization to reduce power consumption; After the equalization is completed, record the number of equalization times. If the number of equalization times in a single month > 10 times, an alarm for abnormal battery pack consistency is triggered.

9. The multi-mode timed wake-up method of the battery management system according to claim 4, characterized in that: In the sleep equalization mode, a time wheel algorithm is also used to optimize the wake-up interval.

10. A multi-mode timed wake-up system for a battery management system, characterized in that, The multi-mode timed wake-up method applied to the battery management system according to any one of claims 1-9 includes a signal detection unit for collecting wake-up source parameters and obtaining their change status; An event trigger unit for determining whether the wake-up source parameters meet the trigger conditions, and if so, feeding back to the mode scheduling unit; A mode scheduling unit for determining the priority of satisfied modes and allocating mode resources according to the priority; An execution unit for controlling the battery management system according to the allocated wake-up mode.

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