Extended-range hybrid power washing and sweeping vehicle power system

Abstract

The invention relates to the technical field of vehicle power control, in particular to a range extending type hybrid power washing and sweeping vehicle power system which comprises a state recognition module, a capacitance monitoring module, a response analysis module, a supply adjusting module and a power supply management module. According to the invention, through real-time identification of the current amplitude, the current interval and the fluctuation period in the operation process of the cleaning equipment and combination of dynamic determination of the equipment state type, fine control of the operation state and the state switching trend is realized, and through monitoring, capacitance characteristic comparison and charging and discharging process consistency analysis, automatic detection of the abnormal rate is realized. Synchronous characteristics of topographic slope change rate and motor power output change are analyzed, the adaptability of the system in response to topographic change is effectively improved, fuel heat value adjustment amplitude is matched in real time according to collaborative change of fuel injection parameters, heat energy release and power requirements, the equipment mutual exclusion relation and priority weight are introduced, and the flexibility of energy allocation is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle power control, and particularly to a power system for an extended-range hybrid washing and sweeping vehicle. Background Art

[0002] The technical field of vehicle power control involves the comprehensive scheduling and control of the energy flow, power output, and operating status of the power source, power transmission system, and load execution system during the operation of the vehicle. The aim is to achieve coordinated optimization of power output and load management by real-time monitoring, analysis, and control of the working states of various power sources in the vehicle, such as internal combustion engines, motors, generators, etc. It involves aspects such as power matching strategies, energy distribution logics, motor control, power management, and load scheduling, including chassis power control, superstructure power control, energy management control, and multi-condition coordinated control. It covers the real-time control process of the entire power transmission link from the power source to the final load execution mechanism, and coordinates the dynamic responses between multi-energy systems and multi-load systems through control strategies. Among them, the power system of an extended-range hybrid washing and sweeping vehicle refers to using an extender to provide electricity to drive multiple motor operation units in the superstructure operation part of the vehicle, and the control system conducts energy management and operating status control on the power source and load, covering the coordinated control of the power flow and power output of multiple operation units such as the chassis power source, extender, generator, energy storage capacitor, motor controller, fan motor, water pump motor, and hydraulic pump motor. Specifically, it includes controlling the engine speed and generator power with an extender controller, using an energy storage capacitor for short-term energy buffering, using a power distribution unit for voltage distribution and safety management, using a motor controller to control the speed and power of the fan motor, water pump motor, and hydraulic pump motor, and coordinating the working states of the extender, energy storage unit, and load execution mechanism under various operating conditions through an energy management control strategy.

[0003] In practical applications, the traditional technology relies on static monitoring and step-by-step control for the scheduling of the power source and load execution mechanism, resulting in slow response and single state discrimination when the operating state of the equipment switches. It is difficult for the cleaning equipment to dynamically control the energy distribution among various equipment when multiple loads occur simultaneously. The energy storage unit is prone to missing abnormal signals when the charge and discharge rate changes suddenly, and power supply resources are wasted due to equipment mutual exclusion conflicts during the operation task resource allocation process. For example, when multiple tasks simultaneously request cleaning operations, the fan and sewage suction equipment fail to perform resource priority allocation, resulting in energy supply shortages or conflict shutdowns, causing interruptions in operation continuity and a decline in energy consumption management accuracy. Summary of the Invention

[0004] In order to solve the technical problems existing in the prior art, an embodiment of the present invention provides a power system for an extended-range hybrid washing and sweeping vehicle. The technical solution is as follows: On the one hand, a range-extended hybrid power system for a road sweeper is provided, and the system includes: The status recognition module calls the operating electrical information, analyzes the maximum current amplitude, current change interval, and current fluctuation period during the operation of multiple cleaning devices, analyzes the operating current combination relationship of multiple motors, identifies the status type, and generates a channel status trend value; The capacitance monitoring module calls the channel status trend value, analyzes the relationship between the growth amplitude between the initial and terminal voltages of the energy storage capacitor during multiple consecutive charging stages and the corresponding charging time length, evaluates the consistency of the voltage change characteristics during the charging and discharging process, and obtains the capacitance instability offset rate; The response analysis module uses the capacitance instability offset rate to compare the change rate of the angle between consecutive terrain slope data and the change amplitude of the output power of the motor during the current stage, analyzes the time correspondence and delay characteristics between the power change stage and the slope data change time point, and outputs a response increase coefficient; The supply adjustment module analyzes the combination relationship between the fuel injection quantity, fuel inlet temperature, and power generation power per unit time according to the response increase coefficient, judges the change trend gap between the fuel unit heat release rate and the power generation demand, adjusts the control configuration of the injection parameters, and obtains a calorific value compensation coefficient.

[0005] As a further solution of the present invention, the channel status trend value includes current amplitude change characteristics, current fluctuation period classification, and motor status conversion frequency. The capacitance instability offset rate specifically refers to voltage growth amplitude difference, voltage drop rate offset, and consistency anomaly characteristics. The response increase coefficient includes slope change trend direction matching, power response time delay distribution, and slope and power linkage amplitude evaluation. The calorific value compensation coefficient specifically refers to injection cycle adjustment amplitude, heat release rate difference, and power generation power matching interval.

[0006] As a further solution of the present invention, the status recognition module includes: The electrical characteristic recognition sub-module calls the operating electrical information, collects the maximum current amplitude, current change interval, and current fluctuation period of the fan motor, water pump motor, and hydraulic pump motor during operation, establishes a current characteristic parameter set, and generates an equipment electrical characteristic quantity; The status type determination sub-module analyzes the equipment electrical characteristic quantity, analyzes the operating current combination relationship of each motor, compares the differences and change rhythms between the combination characteristics, judges the status type corresponding to the combination, including stable, starting, and fluctuating, and generates a status type parameter; The status switch statistics sub-module obtains the status type parameter, identifies the switching situation between each type of status, records the transfer times and durations, organizes them into continuous time period status change information, and establishes a channel status trend value.

[0007] As a further solution of the present invention, the capacitance monitoring module includes: The charging characteristic analysis sub-module calls the channel state trend value, analyzes the growth amplitudes of the initial voltage and the termination voltage of the energy storage capacitor in a plurality of consecutive charging stages, combines the charging time lengths of each stage, establishes a record of charging characteristic changes, and generates a charging growth amplitude sequence; The discharge offset discrimination sub-module analyzes the change amplitude of the charging speed in each stage according to the charging growth amplitude sequence, collects the voltage reduction rate data during the discharge process, compares the characteristic changes in the charging and discharge processes, and obtains the charge-discharge offset characteristic interval; The consistency evaluation sub-module evaluates the consistency of the voltage change characteristics during the charging and discharging processes based on the charge-discharge offset characteristic interval, detects the relative offset characteristics of the charging and discharging rates in each stage, marks the rate abnormal conditions, and generates a capacitance instability offset rate.

[0008] As a further solution of the present invention, the specific formula for detecting the relative offset characteristics of the charging and discharging rates in each stage is: ; Calculate the voltage offset characteristic value; Wherein, is the voltage offset characteristic value of the j-th stage, is the normalized value of the termination voltage value of the j-th stage relative to the system maximum rated voltage value, is the normalized value of the initial voltage value of the j-th stage relative to the system maximum rated voltage value, is the normalized value of the reference discharge time of the j-th stage relative to the system reference discharge time length, is the normalized value of the actual charging time of the j-th stage relative to the system reference charging time length, is the normalized value of the voltage growth amplitude of the j-th stage relative to the system maximum rated voltage value, is the normalized value of the average voltage growth amplitude of all historical stages relative to the system maximum rated voltage value, j is the number of the current analyzed charge-discharge stage, is the number of the previous stage.

[0009] As a further solution of the present invention, the response analysis module includes: The slope change extraction sub-module calls the capacitance instability offset rate, collects continuous terrain slope data, calculates the change rate of the slope angle at adjacent moments, arranges the change amplitude of the motor output power within the current stage, and generates a slope and power change trend comparison group; The power synchronization discrimination sub-module determines the consistency of the change trends of the two based on the slope and power change trend comparison group, identifies the synchronization characteristics of the power change and the slope change, organizes them into a synchronization discrimination result, and obtains the synchronization matching grouping information; The response matching degree evaluation sub-module analyzes the time correspondence and response delay between the power change stage and the slope data change time point based on the synchronization matching grouping information, evaluates the matching degree to the slope change, and outputs a response increase coefficient.

[0010] As a further solution of the present invention, the specific formula for analyzing the time correspondence and response delay between the power change stage and the slope data change time point is: ; Calculate the response synchronization offset value; Wherein, is the response synchronization offset value of the power and slope change in the k-th stage, is the normalized value of the actual motor output power value of the i-th segment in the k-th stage relative to the system maximum power, is the normalized value of the power reference value of the i-th segment relative to the system maximum power, is the normalized value of the time difference between the motor power response peak moment and the slope change trigger moment in the i-th segment of the k-th stage relative to the system reference response time, is the normalized value of the average value of the response time differences of all segments within the k-th stage relative to the system reference response time, is the normalized value of the slope change amplitude of the i-th segment of the k-th stage relative to the system maximum slope change amplitude, is the normalized value of the average value of the slope change amplitudes of all segments within the k-th stage relative to the system maximum slope change amplitude, is the normalized value of the response delay offset within the k-th stage relative to the system reference response delay value, [[ID=3,0]]is the normalized value of the system average value of the historical response delay offset relative to the system reference response delay value, n is the total number of time segments participating in the analysis within the current stage, i is the serial number index of each segment within the stage, and k is the stage number of the current power slope response stage being evaluated.

[0011] As a further solution of the present invention, the supply adjustment module includes: The fuel data acquisition sub-module calls the response increase coefficient, acquires the fuel injection quantity, the fuel inlet temperature, and the power generation power per unit time, analyzes the fuel unit heat energy release rate, establishes a fuel and power generation data set, and generates a fuel and power generation correlation parameter group; The heat energy release analysis sub-module determines the gap in the change trends of the fuel unit heat energy release rate and the power generation demand based on the fuel power generation correlation parameter group, analyzes the response behavior of the injection pulse width and injection cycle to the change in unit heat release, forms heat release response parameters, and obtains injection cycle adjustment data; The injection adjustment execution sub-module adjusts the control range of the injection parameters and synchronizes the power generation output based on the injection cycle adjustment data, and outputs a calorific value compensation coefficient.

[0012] As a further solution of the present invention, the system further includes: The power supply management module analyzes the power generation output capacity according to the calorific value compensation coefficient, identifies the cleaning equipment corresponding to the cleaning operation task type, combines the priority order identifier and call frequency preset for the task, and matches the power supply priorities of multiple operation tasks to obtain a task power supply priority configuration; The task power supply priority configuration includes the operation task priority order level, the control mutual exclusion relationship between devices, and the power supply channel allocation configuration.

[0013] As a further solution of the present invention, the power supply management module includes: The power generation capacity analysis sub-module calls the calorific value compensation coefficient, analyzes the power generation output capacity in real time, evaluates the available power state, and generates a power generation capacity parameter group; The operation task identification sub-module analyzes the cleaning equipment corresponding to each cleaning operation task type according to the power generation capacity parameter group, including fan operation, flushing operation, and sewage suction operation, identifies the control function mutual exclusion logic and device conflict situation of each task combination, and generates a task device conflict index; The priority configuration sub-module matches the power supply priorities of multiple operation tasks based on the task device conflict index, combines the priority order identifier and call frequency of the cleaning operation task, and adjusts the power supply configuration path to obtain a task power supply priority configuration.

[0014] The beneficial effects brought by the technical solution provided by the embodiment of the present invention at least include: By real-time identifying the current amplitude, current interval, and fluctuation period during the operation of the cleaning equipment, and combining the dynamic determination of the equipment state type, the refined control of the operation state and the state switching trend is realized. Through monitoring, capacitance characteristic comparison, and charge and discharge process consistency analysis, the abnormal rate is automatically detected, and the synchronous characteristics of the terrain slope change rate and the motor power output change are analyzed, effectively improving the system's adaptability to terrain changes. In the fuel supply link, according to the coordinated changes of injection parameters, heat energy release, and power demand, the fuel calorific value adjustment range is matched in real time, the device mutual exclusion relationship and priority weight are introduced, and the power supply resource allocation ratio between each cleaning task is dynamically adjusted, improving the flexibility of energy allocation, and realizing the coordinated improvement of operation safety, power supply reliability, and cleaning efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0016] Figure 1 is the system flow chart of the present invention; Figure 2 is the schematic diagram of the system framework of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] The following will describe the technical solutions in the present invention with reference to the drawings.

[0018] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as an "example" in the present invention should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly speaking, the use of the word "example" is intended to present concepts in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one of the two can be selected.

[0019] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference is not emphasized, the meaning they express is the same. "(of)", "corresponding", and "corresponding" can sometimes be used interchangeably. It should be noted that when the difference is not emphasized, the meaning they express is the same.

[0020] In the embodiments of the present invention, sometimes subscripts such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0021] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will be described in detail with reference to the drawings and specific embodiments.

[0022] The embodiments of the present invention provide a power system for an extended-range hybrid washing and sweeping vehicle. Please refer to Figures 1 to 2 , the present invention provides a technical solution. A power system for an extended-range hybrid washing and sweeping vehicle includes: The status recognition module calls the operating electrical information, analyzes the maximum current amplitude, current change interval, and current fluctuation period during the operation of multiple cleaning devices, analyzes the combined relationship of the operating currents of multiple motors, identifies the status type, and generates a channel status trend value; The capacitance monitoring module calls the channel status trend value, analyzes the relationship between the growth amplitude between the initial and terminal voltages of the energy storage capacitor during multiple consecutive charging stages and the corresponding charging duration, evaluates the consistency of the voltage change characteristics during the charge and discharge process, and obtains the capacitance instability offset rate; The response analysis module uses the capacitance instability offset rate to compare the change rate of the angle between consecutive terrain slope data and the change amplitude of the output power of the motor during the current stage, analyzes the time correspondence and delay characteristics between the power change stage and the change time point of the slope data, and outputs a response amplification coefficient; The supply adjustment module analyzes the combined relationship between the fuel injection volume, fuel inlet temperature, and power generation power per unit time according to the response amplification coefficient, judges the change trend gap between the fuel unit heat release rate and the power generation demand, adjusts the control configuration of the injection parameters, and obtains a calorific value compensation coefficient; The power supply management module analyzes the power generation output capacity according to the calorific value compensation coefficient, identifies the cleaning devices corresponding to the cleaning operation task type, combines the priority order identifier and call frequency preset by the task, matches the power supply priorities of multiple operation tasks, and obtains the task power supply priority configuration.

[0023] The channel status trend value includes current amplitude change characteristics, current fluctuation period classification, and motor state conversion frequency. The capacitance instability offset rate specifically refers to voltage growth amplitude difference, voltage drop rate offset, and consistency anomaly characteristics. The response amplification coefficient includes slope change trend direction matching, power response time delay distribution, and slope and power linkage amplitude evaluation. The calorific value compensation coefficient specifically refers to injection cycle adjustment amplitude, heat release rate difference, and power generation power matching interval. The task power supply priority configuration includes operation task priority order level, control mutual exclusion relationship between devices, and power supply channel allocation configuration.

[0024] The status recognition module includes: The electrical characteristic recognition sub-module calls the operating electrical information, collects the maximum current amplitude, current change interval, and current fluctuation period of the fan motor, water pump motor, and hydraulic pump motor during operation, establishes a set of current characteristic parameters, and generates device electrical characteristic quantities; The electrical characteristic recognition sub-module calls the operating electrical information. First, during the operation of the road sweeper, it independently collects data on the fan motor, water pump motor, and hydraulic pump motor. Assuming that the operating data of each motor is at an interval of a sampling period of 10 ms, it records the sequence of current changes over time and extracts the maximum current amplitude within each sampling window and calculates the time interval between any two times when the current reaches the peak and count the period of current fluctuation from the starting point to the ending point , for example, when the fan motor is running, the maximum current in a certain interval is 35A, the maximum current of the water pump motor is 28A, and the maximum current of the hydraulic pump motor is 25A. The current fluctuation periods are 0.5 seconds, 0.7 seconds, and 0.9 seconds respectively. The current change intervals are 0.12 seconds for the fan motor, 0.15 seconds for the water pump motor, and 0.18 seconds for the hydraulic pump motor. Organize these parameters into a current characteristic parameter set according to the equipment and time sequence, and establish an array in the form of parameter groups such as etc., to form the electrical characteristic quantity of the equipment. This characteristic quantity can accurately reflect the current distribution and change law of each equipment under different working states, and provide basic data support for subsequent state type determination and operation state trend analysis.

[0025] The state type determination sub-module analyzes the electrical characteristic quantity of the equipment, analyzes the combined relationship of the operating current of each motor, compares the differences and change rhythms between the combined characteristics, and judges the state type corresponding to the combination, including stable, starting, and fluctuating, and generates state type parameters; The state type determination sub-module analyzes the electrical characteristic quantity of the equipment. First, normalize the current amplitude, change interval, and fluctuation period parameters of all equipment, establish the current characteristic vectors of different equipment at the same moment, compare the distribution patterns of the current combinations of each motor within the same time slice, and set the stable state determination threshold , starting state determination threshold , fluctuating state determination threshold etc. Judge the distance between each combination in the parameter set and these thresholds. If the current amplitude and fluctuation period of the equipment are stable for a long time and the change interval is close to the average value, it is classified as a stable state. If the current suddenly rises and the interval is greatly shortened, it is judged as a starting state. If the current fluctuates periodically, it is classified as a fluctuating state. If the combined characteristics deviate greatly from the above thresholds, it is marked as an unclassified state. For example, the characteristic quantity of the fan motor is , belonging to stable, the water pump motor is starting, and the hydraulic pump motor is fluctuating. Organize all classification results and arrange them linearly according to time to generate state type parameters, which describe in detail the working states of each equipment in each sampling period.

[0026] The state transition statistics sub-module obtains the state type parameters, identifies the switching situations between each type of state, records the transfer times and durations, organizes them into continuous time period state change information, and establishes the channel state trend value; The status transition statistics sub-module obtains the status type parameters. For each device, it arranges the status types in sequence according to the sampling order, identifies the moments when the status changes on the time line, marks the specific time points when the status switches from one type to another each time, calculates the total duration of each status and the number of transitions between each status and other statuses. By recording the status type sequence, such as stable - start - fluctuation - stable, it statistically analyzes the frequencies of conversions such as from stable to start and from start to fluctuation. For example, for a fan motor, the stable state lasts for 18 minutes, the start state lasts for 3 minutes, and the fluctuation state lasts for 9 minutes within 30 minutes, and there are 8 switches from stable to fluctuation. It collates the status transitions and durations of all devices uniformly to form a status change information matrix for continuous time periods, and finally summarizes it according to the device and time dimensions to establish the channel status trend value, which is used to reflect the device status transition trajectory and dynamic distribution of the entire system during the operation cycle.

[0027] The capacitance monitoring module includes: The charging characteristic analysis sub-module calls the channel status trend value, analyzes the growth amplitudes of the initial voltage and the terminal voltage of the energy storage capacitor in multiple consecutive charging stages, combines the charging duration of each stage, establishes a record of charging characteristic changes, and generates a charging growth amplitude sequence; The charging characteristic analysis sub-module calls the channel status trend value. First, during the operation of the vehicle energy storage unit, it sequentially collects the starting voltage and the terminal voltage of each charging stage, records the time length experienced by each charging, and calculates the voltage change amount of each stage as , where is the voltage growth amplitude of the th charging stage, is the terminal voltage of this stage, is the initial voltage of this stage. Taking the daily operation sampling of the vehicle as an example, the first charging rises from 24V to 26V and takes 90 seconds, and the second charging rises from 25.5V to 27V and takes 100 seconds. It records the growth amplitudes and durations of the charging stages in sequence. For example, the charging growth amplitude sequence is 2V, 1.5V, and the charging duration sequence is 90 seconds, 100 seconds. It arranges the voltage increments of all stages, establishes a data set in order, and compares and judges the correlation between the of each segment and the corresponding duration . It uses the fluctuation amplitude judgment. If the voltage increment of a certain charging stage is significantly lower than the previous stage and the charging duration exceeds the reference interval, it is recorded as a charging fluctuation. The charging growth reference interval can refer to the average amplitude and root mean square of the last five chargings. If V and the previous two times are both greater than 1.5V, it is judged as a fluctuation deviation, and the voltage increment sequence of all stages is sorted into a charging growth amplitude sequence.

[0028] The discharge offset discrimination sub-module analyzes the change amplitude of the charging speed in each stage according to the charging growth amplitude sequence, collects the data of the voltage reduction rate during the discharge process, compares the characteristic changes in the charging and discharge processes, and obtains the charge-discharge offset characteristic interval; The discharge offset discrimination sub-module first processes each item in the sequence according to the charging growth amplitude sequence Calculate the change amplitude of the charging speed in adjacent stages, using the formula , where is the charging speed at the th time, is the charging voltage increase at the th time, is the charging duration at the th time. Arrange the charging speeds of all stages, collect the voltage reduction rate of each discharge stage, and record the discharge rate as , where is the discharge speed at the th time, and are the starting and ending voltages of the discharge respectively, is the discharge time. Taking a certain vehicle as an example, the charging speeds for three consecutive times are 0.022V / s, 0.015V / s, and 0.005V / s respectively, and the corresponding discharge speeds are 0.018V / s, 0.017V / s, and 0.024V / s. Determine whether there are abnormal fluctuations in the changes between each pair of charging and discharge speeds, and establish a charge-discharge offset characteristic interval for the change differences between all charging speeds and discharge speeds.

[0029] The consistency evaluation sub-module evaluates the consistency of the voltage change characteristics during the charging and discharging processes based on the charge-discharge offset characteristic interval, detects the relative offset characteristics of the charge-discharge rates in each stage, marks the abnormal rate situations, and generates the capacitance instability offset rate; The specific formula for detecting the relative offset characteristics of the charge-discharge rates in each stage is: ; Calculate the voltage offset characteristic value; where, is the voltage offset characteristic value at the jth stage, is the normalized value of the ending voltage value at the jth stage relative to the system maximum rated voltage value, is the normalized value of the initial voltage value at the jth stage relative to the system maximum rated voltage value, is the normalized value of the reference discharge time at the jth stage relative to the system reference discharge time length, is the normalized value of the actual charging time at the jth stage relative to the system reference charging time length, is the The normalized value of the stage voltage increase relative to the system's maximum rated voltage value is the normalized value of the average of the voltage increase amplitudes of all historical stages relative to the system's maximum rated voltage value. j is the number of the charging and discharging stage being currently analyzed is the number of the previous stage

[0030] Formula ; Detailed explanation of the formula and the derivation process of the formula calculation The formula is used to calculate the normalized voltage offset eigenvalue. The result is used to determine whether there is a rate deviation in the current stage charging behavior and serves as the basis for determining the capacitance instability offset rate Meaning and set values of parameters is the normalized value of the termination voltage value of the j-th stage relative to the maximum system rated voltage value. The set data acquisition value is 538V, the maximum system voltage is 600V, and the normalization calculation method is the termination voltage divided by the maximum voltage value. The value is ; is the normalized value of the initial voltage value of the j-th stage relative to the system's maximum voltage value. The set monitored value is 514V, the maximum voltage is 600V, and the normalized value is ; is the normalized value of the reference discharge time of the j-th stage relative to the reference discharge time. The set measured discharge time is 102 seconds, and the system reference discharge cycle time is set to 120 seconds. This reference value is the standard test cycle in the system energy model, and the normalized value is ; is the normalized value of the time taken for the current charging stage relative to the reference charging cycle time. The set detected value is 130 seconds, the standard cycle is 120 seconds, and the normalization is ; is the normalized value of the voltage increase value of the previous stage relative to the system's maximum voltage value. The set voltage difference is 27V (the previous stage rose from 500V to 527V), the system's maximum voltage is 600V, and the normalized value is ; is the normalized value of the average of the charging voltage increase amplitudes of multiple historical stages. The average of the charging differences of 30 sampled historical stages is set to 36V, the system's maximum voltage is 600V, and the normalization is ; Substitute the parameters into the formula for calculation ; ; ; ; ; ; The result of 0.2562 indicates that there is a medium - amplitude deviation characteristic between the charging voltage change in the current stage and the historical average voltage change. This value has exceeded the set judgment line compared with the set reference value of the normalized voltage deviation threshold system (such as 0.2), representing that there is a trend anomaly in the charging at this stage and needs to be marked as a rate anomaly situation, providing a basic judgment condition for the formation of the capacitance instability offset rate in the subsequent stage.

[0031] The response analysis module includes: The slope - change extraction sub - module calls the capacitance instability offset rate, collects continuous terrain slope data, calculates the change rate of the slope angle between adjacent moments, arranges the change amplitude of the motor output power in the current stage, and generates a comparison group of slope and power change trends; The slope - change extraction sub - module calls the capacitance instability offset rate. First, it collects slope - angle data at continuous time points from the real - time terrain sensor during the vehicle operation. Let the acquisition - point times be , , etc., and the corresponding slope angles are , , . It uses the formula to calculate the slope - change rate between each pair of adjacent moments, where is the slope - change rate of the th segment, and are the slope angles of two adjacent moments, and are the corresponding moments. Record the change - rate sequence. Combining with the motor output power data in the current stage, the power sampling points are , , . Calculate the power - change amplitude sequence . Taking the vehicle driving from flat ground into a ramp as an example, the sampling - point time interval is 1 second, , , , and the corresponding powers are 8kW, 10kW, 13kW. Then , kW, compare the slope change rate in each time period with the power change amplitude group to form a comparison group of slope and power change trends. Each group of data is marked with states such as slope rising - power rising, slope falling - power falling, or slope changing - power not changing. In this way, a comparison group of slope and power change trends at the current stage is constructed.

[0032] The power synchronization discrimination sub - module judges the consistency of the change trends of the two according to the comparison group of slope and power change trends, identifies the synchronous characteristics of power change and slope change, organizes them into a synchronous discrimination result, and obtains synchronous matching grouping information; The power synchronization discrimination sub - module judges the consistency of the change trends of the two for each group according to the comparison group of slope and power change trends. Each pair of combinations is used as a discrimination unit to judge whether the power rises synchronously when the slope rises and whether the power falls synchronously when the slope falls. If the change directions of the two are the same, it is judged as synchronous; if the change directions are opposite or the power has no response, it is judged as asynchronous. For the quantification of synchronous discrimination, a synchronous discrimination flag is set If then otherwise Taking the vehicle driving example, if kW, then For example, if the slope rises but the power falls, then Organize all the synchronous discrimination results into a synchronous matching grouping information table, which records the synchronous or asynchronous states in each time period to form synchronous matching grouping information.

[0033] The response matching degree evaluation sub - module analyzes the time correspondence and response delay between the power change stage and the slope data change time point based on the synchronous matching grouping information, evaluates the matching degree to the slope change, and outputs a response increase coefficient; The specific formula for analyzing the time correspondence and response delay between the power change stage and the slope data change time point is: ; Calculate the response synchronization offset value; Among them, is the response synchronization offset value of the power and slope changes in the k - th stage, is the normalized value of the actual motor output power value in the i - th segment of the k - th stage relative to the system maximum power, is the normalized value of the power reference value in the i - th segment relative to the system maximum power, is the normalized value of the time difference between the motor power response peak moment and the slope change trigger moment in the i - th segment of the k - th stage relative to the system reference response time, is the normalized value of the average of the response time differences of all segments in the k-th stage relative to the system baseline response time. is the normalized value of the slope change amplitude of the i-th segment in the k-th stage relative to the maximum slope change amplitude of the system. is the normalized value of the average of the slope change amplitudes of all segments in the k-th stage relative to the maximum slope change amplitude of the system. is the normalized value of the response delay offset in the k-th stage relative to the system reference response delay value. is the normalized value of the system average of the historical response delay offset values relative to the system reference response delay value. n is the total number of time segments participating in the analysis in the current stage, i is the sequence number index of each segment in the stage, and k is the stage number of the current power slope response stage being evaluated.

[0034] Formula: ; Detailed explanation of the formula and the derivation process of the formula calculation: The formula is used to calculate the response matching degree between the power output and the slope change, and the obtained result is used to evaluate the synchronous offset trend of the power-slope matching. " Parameter meaning and setting values: is the number of slope change segments analyzed in the current stage, set to 4; Set , , , , indicating that the motor output power is obtained by sampling through the vehicle control unit, and the original powers are 1640W, 1700W, 1580W, 1660W respectively, and the maximum power P_max is 2000W, after normalization calculation; Set , , , , is the power reference value set by the task scheduling and management system for the terrain slope type, obtained through the task type - slope classification corresponding mapping method; Set , , , , indicating the delay between the power response moment and the slope change trigger moment, in seconds recorded by the in-vehicle inertial navigation + electronic control unit time sequence alignment, and the baseline response time T_std is 1 second; Set , is the average response delay of four segments; Set , , , , for the slope sampling data calculated by the combined positioning of lidar and IMU, the original slopes are 4.6°, 5.4°, 4.9°, and 4.1° respectively, and the normalization coefficient θ_max is set to 10°; Set , as the average value of the slope change in the current stage; Set , , representing the overall response inertia offset in this stage (from the start of the change to the midpoint of the stable interval), calculated by the integral area delay of the slope-power response process curve and normalized; Substitute the parameters into the formula for calculation: ; ; ; ; ; ; The result 0.00115 indicates that there is a very small synchronous offset eigenvalue between the power output fluctuation and the slope change trigger. This value is significantly lower compared to the response offset judgment threshold of 0.02, representing that the overall power response maintains a high degree of matching with the slope trend. This result is used to judge that the current operation response state is at a good linkage level and can be transmitted to the energy supply adjustment module as the basis for generating the response increase coefficient.

[0035] The supply adjustment module includes: The fuel data acquisition sub-module calls the response increase coefficient, collects the fuel injection volume, fuel inlet temperature, and power generation per unit time, analyzes the fuel unit heat release rate, establishes a fuel and power generation data set, and generates a fuel-power generation correlation parameter group; The fuel data acquisition sub-module calls the response increase coefficient. First, according to the real-time data output by the engine management unit in the vehicle control system, it collects the fuel injection volume per unit time of the injector , the injection pulse width , the fuel inlet temperature and the power generation per unit time . Add the injection volume and the injection pulse width to get the total injection volume. Using the actual working condition data, assume that the injection volume in a certain operation section is 1.2 grams / second, the injection pulse width is 12 milliseconds, the fuel inlet temperature is 35 degrees Celsius, and the power generation is 8 kilowatts. Multiply the calorific value of the fuel (such as 43000 J / g) by the injection volume to get the heat energy released per unit time , where is the heat release rate, is the fuel injection quantity, is the calorific value of the fuel, for example Joules per second, and then compare the heat release rate with the power generation Perform a comparison, combine various data to form a set of corresponding parameters for fuel and power generation, establish multiple sets of data collections, and gradually record the corresponding situations of fuel injection quantity, temperature, calorific value and power generation at each stage to form a fuel power generation correlation parameter group.

[0036] The heat release analysis sub-module, based on the fuel power generation correlation parameter group, judges the change trend gap between the unit heat release rate of the fuel and the power generation demand, analyzes the response behavior of the fuel injection pulse width and the fuel injection cycle to the change of the unit heat release, forms heat release response parameters, and obtains fuel injection cycle adjustment data; The heat release analysis sub-module, based on the fuel power generation correlation parameter group, first judges the change trend gap between the unit heat release rate of the fuel and the power generation demand in each operation section, and uses the thermal energy utilization efficiency for evaluation, where is the thermal energy utilization efficiency, is the power generation, is the thermal energy released per unit time, and the efficiency interval is statistically analyzed. For example, if in a certain section Joules per second, Joules per second, then , set the reference efficiency interval to 0.8 to 0.9, based on the common vehicle working load experiment. If is lower than 0.8 or higher than 0.9, it is recorded as an efficiency abnormal section, and further analyze the fuel injection pulse width and the fuel injection cycle . By comparing the and in different operation sections with respect to the thermal energy released per unit time response, if the fuel injection cycle shortens and the heat release increases, it is determined that the heat release response is sensitive. Summarize all abnormal and response data to form heat release response parameters and obtain fuel injection cycle adjustment data.

[0037] The fuel injection adjustment execution sub-module, based on the fuel injection cycle adjustment data, adjusts the control amplitude of the fuel injection parameters and synchronizes the power generation output, and outputs a calorific value compensation coefficient; The fuel injection adjustment execution sub-module, based on the fuel injection cycle adjustment data, first analyzes the actual influence of the fuel injection pulse width and the fuel injection cycle on the power generation , records the change relationship between the fuel injection cycle and the actual power generation, adjusts the fuel injection control amplitude according to the adjustment data, and compares before and after the adjustment The change range is used to set the adjustment coefficient , where is the influence coefficient of fuel injection parameter adjustment, is the power generation power before and after adjustment, is the fuel injection pulse width before and after adjustment. If the power generation power increases after adjustment and the increase range of the fuel injection pulse width is controlled within 5%, it is considered that the adjustment is reasonable. Record all parameters after adjustment and output the calorific value compensation coefficient.

[0038] The power supply management module includes: The power generation capacity analysis sub-module calls the calorific value compensation coefficient, analyzes the power generation output capacity in real time, evaluates the available electric energy state, and generates a power generation capacity parameter group; The power generation capacity analysis sub-module calls the calorific value compensation coefficient. First, it reads the fuel calorific value compensation coefficient, the current fuel injection volume, the fuel inlet temperature, and the output voltage and current data at the generator end from the engine management unit in real time, and uses the formula to calculate the current instantaneous power generation power, where is the voltage at the power generation end, is the current at the power generation end. Multiply the fuel injection volume and the fuel calorific value to obtain the theoretical released heat energy per unit time , where is the fuel injection volume, is the fuel calorific value. The collected sample data is a fuel injection volume of 1.1 grams / second and a fuel calorific value of 43000 joules / gram. At this time joules / second. The collected voltage at the power generation end is 48V and the current is 160A, then the power generation power watts, that is, 7680 joules / second. Compare the theoretical heat energy with the actual power generation output, and calculate to obtain the efficiency. If , it is determined that the power generation capacity is lower than the vehicle system benchmark efficiency (such as the benchmark is 0.8). Therefore, the available electric energy state is evaluated as insufficient. Record all the collected efficiencies, fuel injection volumes, temperatures, and power generation powers within a period of time, summarize and statistically calculate the maximum, minimum, and average values, and generate a power generation capacity parameter group, including parameters such as theoretical heat energy, actual output power, efficiency range, and temperature range.

[0039] The operation task identification sub-module analyzes the cleaning equipment corresponding to each cleaning operation task type according to the power generation capacity parameter group, including fan operation, flushing operation, and sewage suction operation, identifies the mutually exclusive logic of control functions and equipment conflicts for each task combination, and generates a task equipment conflict index; Based on the power generation capacity parameter group, the operation task recognition sub-module first retrieves the current and scheduled operation plans of the vehicle, extracts the cleaning equipment required for each task type such as fan operation, flushing operation, and sewage suction operation and their power requirements, and calculates the total call duration and peak power of each equipment within the day. Assume the fan is 8kW, the flushing pump is 6kW, and the sewage suction fan is 10kW. At the same time, compare the maximum and average available power in the power generation capacity parameter group, screen out the combinable equipment combinations that can be started in parallel, then read the task mutual exclusion logic table, and judge combinations where flushing and sewage suction tasks cannot run simultaneously. In the actual data, the fan and the flushing pump can run concurrently, while there is mutual exclusion between sewage suction and fan flushing. Group all combinations through Boolean logic. Combinations such as fan = 1, flushing = 1, sewage suction = 0 are available, and fan = 1, flushing = 1, sewage suction = 1 are in conflict. Mark the corresponding status of each group to form a task equipment conflict index, where the index content specifically includes the call, mutual exclusion relationship, power distribution priority information, etc. of each task.

[0040] Based on the task equipment conflict index, the priority configuration sub-module combines the priority order identification and call frequency of the cleaning operation task, matches the power supply priorities of multiple operation tasks, and adjusts the power supply configuration path to obtain the task power supply priority configuration. Based on the task equipment conflict index, the priority configuration sub-module extracts the priority order identification of all current operation tasks (such as fan operation priority 1, flushing 2, sewage suction 3), combines the actual call frequencies of each task within the past hour, with the fan called 10 times, flushing 7 times, and sewage suction 5 times, calculates the priority weights. Assume the priority order weight is 0.7 and the call frequency weight is 0.3. The priority score is the sum of the weighted order score and the weighted call frequency score. For example, the score of the fan is , and the same applies to the other tasks. Sort them in order according to the scores, allocate the task with the highest score to the main power supply channel, turn off or limit the current of conflicting equipment according to the priority, and allocate power to the remaining equipment in order of the scores according to the actual available power. Finally, organize and output the task power supply priority configuration, and the specific content includes the priority channel setting, equipment allocation, and conflict adjustment status of each time period task.

[0041] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wired (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that contains one or more collections of available media. The available media can be magnetic media (such as floppy disks, hard disks, magnetic tapes), optical media (such as DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0042] It should be understood that the term "and / or" in this document is merely a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. Here, A and B can be singular or plural. In addition, the character " / " in this document generally represents an "or" relationship between the associated objects before and after, but it may also represent an "and / or" relationship, which can be specifically understood with reference to the context before and after.

[0043] In the present invention, "at least one" means one or more, and "a plurality" means two or more. "At least one of the following" or its similar expressions refer to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can represent: a, b, c, a - b, a - c, b - c, or a - b - c, where a, b, and c can be single or multiple.

[0044] It should be understood that in various embodiments of the present invention, the magnitudes of the sequence numbers of the above processes do not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0045] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Skilled professionals can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present invention.

[0046] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described devices, apparatuses, and units can refer to the corresponding processes in the foregoing method embodiments, and will not be described herein again.

[0047] In several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0048] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place, or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0049] In addition, the functional units in each embodiment of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit.

[0050] When the above-mentioned function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs.

[0051] As described above, the above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. An extended-range hybrid power system for a washing and sweeping vehicle, characterized in that, The system includes: The status recognition module calls the running electrical information, analyzes the maximum current amplitude, current change interval, and current fluctuation period during the operation of multiple cleaning devices, analyzes the combined relationship of the running currents of multiple motors, identifies the status type, and generates a channel status trend value; The capacitance monitoring module calls the channel status trend value, analyzes the relationship between the growth amplitude between the initial and final voltages of the energy storage capacitor during multiple consecutive charging stages and the corresponding charging duration, evaluates the consistency of the voltage change characteristics during the charge and discharge process, and obtains the capacitance instability offset rate; The response analysis module uses the capacitance instability offset rate to compare the change rate of the angle between consecutive terrain slope data and the change amplitude of the output power of the motor during the current stage, analyzes the time correspondence and delay characteristics between the power change stage and the change time point of the slope data, and outputs a response increase coefficient; The supply adjustment module analyzes the combined relationship between the fuel injection volume, fuel inlet temperature, and power generation power per unit time according to the response increase coefficient, judges the change trend gap between the fuel unit heat release rate and the power generation demand, adjusts the control configuration of the fuel injection parameters, and obtains a calorific value compensation coefficient.

2. The range-extended hybrid power system of the road sweeper according to claim 1, wherein The channel status trend value includes the current amplitude change characteristic, current fluctuation period classification, and motor status conversion frequency. The capacitance instability offset rate specifically refers to the voltage growth amplitude difference, voltage drop rate offset, and consistency anomaly characteristic. The response increase coefficient includes the slope change trend direction matching, power response time delay distribution, and slope and power linkage amplitude evaluation. The calorific value compensation coefficient specifically refers to the fuel injection cycle adjustment amplitude, heat release rate difference, and power generation power matching interval.

3. The range-extended hybrid power system of the road sweeper according to claim 1, wherein, The status recognition module includes: The electrical characteristic recognition sub-module calls the running electrical information, collects the maximum current amplitude, current change interval, and current fluctuation period of the fan motor, water pump motor, and hydraulic pump motor during operation, establishes a set of current characteristic parameters, and generates an equipment electrical characteristic quantity; The status type determination sub-module analyzes the equipment electrical characteristic quantity, analyzes the combined relationship of the running currents of each motor, compares the differences and change rhythms between the combined characteristics, and judges the corresponding status type of the combination, including stable, start, and fluctuation, and generates a status type parameter; The status switch statistics sub-module obtains the status type parameter, identifies the switching situation between each type of status, records the transfer times and durations, organizes them into continuous time period status change information, and establishes a channel status trend value.

4. The range-extended hybrid power system of the washing and sweeping vehicle according to claim 3, characterized in that, The capacitance monitoring module includes: The charging characteristic analysis sub-module calls the channel status trend value, analyzes the growth amplitude of the initial voltage and the final voltage of the energy storage capacitor during multiple consecutive charging stages, combines the charging duration of each stage, establishes a record of charging characteristic changes, and generates a charging growth amplitude sequence; The discharge offset discrimination sub-module analyzes the change amplitude of the charging speed in each stage according to the charging growth amplitude sequence, collects the voltage reduction rate data during the discharge process, and compares the characteristic changes during the charge and discharge processes to obtain the charge and discharge offset characteristic interval; The consistency evaluation sub-module evaluates the consistency of the voltage change characteristics during the charging and discharging processes based on the charging and discharging offset characteristic intervals, detects the relative offset characteristics of the charging and discharging rates at each stage, marks abnormal rate situations, and generates a capacitance instability offset rate.

5. The range-extended hybrid power system for a washing and sweeping vehicle according to claim 4, characterized in that, The specific formula for detecting the relative offset characteristics of the charging and discharging rates at each stage is: ； Calculate the voltage offset characteristic value; Among them, is the voltage offset eigenvalue in the j-th stage, is the normalized value of the termination voltage value in the j-th stage relative to the system maximum rated voltage value, is the normalized value of the initial voltage value in the j-th stage relative to the system maximum rated voltage value, is the normalized value of the reference discharge time in the j-th stage relative to the system reference discharge time length, is the normalized value of the actual charging time in the j-th stage relative to the system reference charging time length, is the normalized value of the voltage increase amplitude in the stage relative to the system maximum rated voltage value, is the normalized value of the average voltage increase amplitude of all historical stages relative to the system maximum rated voltage value. j is the charge-discharge stage number of the current analysis, is the previous stage number.

6. The range-extended hybrid power system for a washing and sweeping vehicle according to claim 4, wherein The response analysis module includes: The slope change extraction sub-module calls the capacitance instability offset rate, collects continuous terrain slope data, calculates the change rate of the slope angle at adjacent moments, collates the change amplitude of the motor output power within the current stage, and generates a comparison group of slope and power change trends; The power synchronization discrimination sub-module determines the consistency of the change trends of the two based on the comparison group of slope and power change trends, identifies the synchronization characteristics of the power change and the slope change, collates them into a synchronization discrimination result, and obtains synchronization matching grouping information; The response matching degree evaluation sub-module analyzes the time correspondence and response delay between the power change stage and the slope data change time point based on the synchronization matching grouping information, evaluates the matching degree to the slope change, and outputs a response amplification coefficient.

7. The range-extended hybrid power system of the road sweeper according to claim 6, wherein The specific formula for analyzing the time correspondence and response delay between the power change stage and the slope data change time point is: ； Calculate the response synchronization offset value; Among them, is the response synchronization offset value of the power and slope change in the k-th stage, is the normalized value of the actual motor output power value of the i-th segment in the k-th stage relative to the system maximum power, is the normalized value of the power reference value of the i-th segment relative to the system maximum power, is the normalized value of the time difference between the motor power response peak moment and the slope change trigger moment in the i-th segment of the k-th stage relative to the system reference response time, is the normalized value of the average value of the response time differences of all segments within the k-th stage relative to the system reference response time, is the normalized value of the slope change amplitude of the i-th segment in the k-th stage relative to the system maximum slope change amplitude, is the normalized value of the average value of the slope change amplitudes of all segments within the k-th stage relative to the system maximum slope change amplitude, is the normalized value of the response delay offset within the k-th stage relative to the system reference response delay value, is the normalized value of the system average value of the historical response delay offset relative to the system reference response delay value. n is the total number of time segments participating in the analysis within the current stage, i is the serial number index of each segment within the stage, and k is the stage number of the current power-slope response stage being evaluated.

8. The range-extended hybrid power system for a road sweeper according to claim 6, wherein The supply adjustment module includes: The fuel data acquisition sub-module calls the response amplification coefficient, acquires the fuel injection quantity, the fuel inlet temperature, and the power generation power per unit time, analyzes the fuel unit heat energy release rate, establishes a fuel and power generation data set, and generates a fuel and power generation correlation parameter group; The heat energy release analysis sub-module determines the change trend gap between the fuel unit heat energy release rate and the power generation demand based on the fuel and power generation correlation parameter group, analyzes the response behavior of the injection pulse width and the injection cycle to the change in the unit heat release, forms heat release response parameters, and obtains injection cycle adjustment data; The injection adjustment execution sub-module adjusts the control amplitude of the injection parameters and synchronizes the power generation output based on the injection cycle adjustment data, and outputs a calorific value compensation coefficient.

9. The range-extended hybrid power system of the road sweeper according to claim 1, wherein The system further includes: The power supply management module analyzes the power generation output capacity based on the calorific value compensation coefficient, identifies the cleaning equipment corresponding to the cleaning operation task type, combines the priority order identifier and the call frequency preset for the task, and matches the power supply priorities of multiple operation tasks to obtain a task power supply priority configuration; The task power supply priority configuration includes the operation task priority order level, the control mutual exclusion relationship between devices, and the power supply channel allocation configuration.

10. The range-extended hybrid power system for a washing and sweeping vehicle according to claim 9, characterized in that, The power supply management module includes: The power generation capacity analysis sub-module calls the calorific value compensation coefficient, analyzes the power generation output capacity in real time, evaluates the available electric energy state, and generates a power generation capacity parameter group; The operation task identification sub-module analyzes the cleaning equipment corresponding to each cleaning operation task type based on the power generation capacity parameter group, including fan operation, flushing operation, and sewage suction operation, identifies the control function mutual exclusion logic and device conflict situations of each task combination, and generates a task device conflict index; Based on the task device conflict index, the priority configuration sub-module matches the power supply priorities of multiple job tasks in combination with the priority order identifier and call frequency of the cleaning job tasks, and adjusts the power configuration path to obtain the task power supply priority configuration.

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