Efficient intelligent power range extending energy storage redundant system

Abstract

The invention relates to the technical field of power batteries and energy storage, in particular to an efficient intelligent power range-extending energy storage redundant system which comprises an energy state acquisition module, a peak value supply and demand time sequence analysis module, a peak value supply and demand time sequence analysis module, an energy storage module and an energy storage module. The extended range energy storage redundancy allocation module determines an output proportion to generate an allocation result, the power output path cooperation module matches a power-on path to generate a path result, and the energy recovery and power supplement evaluation module comprehensively plans feedback and power supplement and summarizes to generate an energy storage redundancy comprehensive result. According to the invention, by continuously scribing the discharge state, corresponding to the power demand, identifying the available depth of energy storage and comparing the available depth with the driving track, the supply and demand offset characteristics are clear, the energy intervention sequence and proportion are integrated to stabilize the output relation, the power-on path and the backflow direction are corrected, and the consistency of brake feedback and power compensation is determined, so that the energy consumption is reduced under the high load and frequent energy exchange. And the energy storage redundancy continuity and sustainability are ensured.

Description

Technical Field

[0001] This invention relates to the field of power battery and energy storage technology, and in particular to a high-efficiency intelligent power range extender and energy storage redundancy system. Background Technology

[0002] The field of power battery and energy storage technology encompasses the storage, allocation, and energy flow methods of electrical energy during vehicle use. Its core content includes the electrochemical energy storage unit composition of the power battery, the control structure for electrical energy input and output, the energy allocation requirements under multiple operating conditions, and the energy redundancy maintenance methods. It also systematically covers the organization of the electrical energy conversion path during vehicle acceleration and braking energy recovery, the safety maintenance mechanism of the energy storage structure, and the coordination structure between the range extender system and the drive system. In the scenario of new energy range-extended heavy trucks, this technology also involves the high-quality load problem brought by large-capacity power batteries, the problem of long charging time and limited driving range, the problem of difficulty in achieving effective energy recovery under small-capacity structure, and the adaptation relationship between the range extender power configuration and the energy storage capacity, thus forming a complete power battery and energy storage system technology system.

[0003] Among them, the high-efficiency intelligent power range-extending energy storage redundancy system refers to the dual energy storage structure system in the structure of new energy range-extending heavy trucks, which can perform energy replenishment, energy transfer and energy redundancy maintenance. It addresses the technical issues of range-extending heavy trucks such as high power consumption, long-term replenishment and short driving range and energy storage quality load. The system completes its energy organization and redundancy by setting up two 100-degree energy storage power batteries, configuring a 100-kilowatt range extender to form a medium power light range-extending combination, establishing an energy transfer path that can achieve differential timing matching between the high power output of the range extender and the energy consumption of the drive, constructing an energy return structure that facilitates energy recovery, and setting up an energy regulation structure to collect energy status and determine energy direction.

[0004] In existing technologies, discharge status is often based on single-point measurements, lacking continuous identification of power changes over time. In scenarios with frequent switching between high and low loads, it is difficult to present the true trend of battery availability, causing supply and demand to often exhibit delayed identification at peak stages. When range extension output and energy storage discharge participate in driving simultaneously, the lack of continuous adjustment of output sequence and ratio often leads to short-term deviations and affects the stability of power sharing. At the same time, the path is limited by fixed logic during energy recovery, and instantaneous mismatch between feedback current and charging capacity is prone to occur, causing the energy storage unit to suffer from uneven energy flow and efficiency fluctuations during long-term operation. Summary of the Invention

[0005] The purpose of this invention is to address the shortcomings of existing technologies by proposing a highly efficient and intelligent power range-extending energy storage redundancy system.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a high-efficiency intelligent power range extender energy storage redundancy system, the system comprising: The energy status acquisition module acquires the voltage, current and SOC signals of BattA and BattB, extracts the discharge segments according to the time sequence, and associates the discharge segments with the drive power demand, GCU power and SOC signals to determine the dischargeable state of BattA and BattB, distinguishes between dischargeable or restricted areas, and generates basic information on energy storage redundancy. The peak supply and demand timing analysis module obtains the speed and torque of MotorA and MotorB based on the discharge segment time division in the energy storage redundancy basic information, constructs the drive power trajectory and corresponds it with the GCU power, identifies supply and demand inconsistency segments and records their duration and location, organizes them into deviation entries, and generates energy storage redundancy offset information. The range-extended energy storage redundancy allocation module obtains the upper limit of GCU power, the discharge capacity of BattA and BattB and the range extension command of VCU based on the deviation degree and discharge time segment in the energy storage redundancy offset information, determines the output order of the three and adjusts the output ratio, and generates the energy storage redundancy allocation result. The power output path coordination module obtains the drive requirements corresponding to BattA, BattB, and GCU and the conduction status of the PDU pre-charge relay based on the output combination relationship in the energy storage redundancy allocation result, filters and establishes the current power-on path and matches it to each discharge segment, and generates the energy storage redundancy path result.

[0007] As a further aspect of the present invention, the basic information on energy storage redundancy includes battery capacity range, discharge carrying capacity, and energy release potential; the offset information on energy storage redundancy includes the magnitude of supply and demand difference, segment offset sorting, and time-series deviation trend; the energy storage redundancy allocation results include the power bearing ratio, energy distribution composition, and output structure framework; and the energy storage redundancy path results include the path channel structure, energy supply distribution form, and power flow layout.

[0008] As a further embodiment of the present invention, the energy state acquisition module includes an electrical parameter processing submodule, a discharge interval identification submodule, and a discharge capacity generation submodule. The electrical parameter processing submodule acquires BattA voltage, BattA current, BattB voltage, BattB current, and SOC signal in chronological order, maps the drive power demand at the same time point to the GCU output power, calls the corresponding record to filter the continuous time period of negative current and marks it as a discharge segment, maps the SOC signal to each discharge segment according to time point, and divides different change ranges on the time axis according to the SOC change after mapping to generate SOC change intervals; The discharge interval identification submodule, based on the SOC change interval, calls the simultaneous time point records of BattA voltage, BattA current, BattB voltage, and BattB current in each discharge segment. For each time point, it determines whether BattA and BattB are in a dischargeable state or a restricted state according to the lower voltage threshold and the upper current threshold. Based on the state judgment result, the corresponding drive power requirement and GCU output power of each discharge segment are processed at the same time point. The dischargeable interval proportion feature is extracted from the state distribution in each discharge segment to generate the dischargeable proportion. The discharge capacity generation submodule, based on the dischargeable percentage, calls upon the drive power requirements of each discharge segment and the output power of the GCU in chronological order for corresponding processing. It compares the differences between the BattA voltage, BattA current, BattB voltage, BattB current and drive requirements within the dischargeable range and records the output performance at each time point. It continuously integrates these on the time axis to form a quantitative representation of the output capacity that BattA and BattB can undertake, generating basic information on energy storage redundancy.

[0009] As a further aspect of the present invention, the peak supply and demand time series analysis module includes a power trajectory construction submodule, a supply and demand deviation extraction submodule, and a deviation degree generation submodule; The power trajectory construction submodule obtains the discharge segment time division in the energy storage redundancy basic information, obtains the Motor A speed, Motor A torque, Motor B speed, Motor B torque and GCU output power arranged in time order, and forms the drive power change trajectory by combining the speed and torque of Motor A and Motor B based on the arrangement record. It calls the drive power change trajectory and GCU output power to perform corresponding processing at the peak position, and extracts the time range of the peak to generate the peak time range. The supply-demand deviation extraction submodule, based on the peak time range, calls the drive power and GCU output power records at the peak time points. For each time point within the peak range, it uses the difference between the two items as a benchmark to determine whether the supply and demand are consistent and marks the inconsistent segments. It calls the inconsistent segments and discharge segments to match the time division, extracts the continuously arranged segments, and generates a supply-demand deviation sequence. The deviation degree generation submodule, based on the supply and demand deviation sequence, calls the corresponding processing of the occurrence position and duration of the deviation segment on the time axis, judges the time continuity relationship of adjacent segments and organizes the continuous segment group, forms a deviation performance record in time sequence, and generates energy storage redundancy offset information.

[0010] As a further embodiment of the present invention, the range-extended energy storage redundancy allocation module includes a deviation call submodule, an output realignment submodule, and a distribution generation submodule; The deviation call submodule obtains the degree of deviation of the discharge segment in the energy storage redundancy offset information and obtains the upper limit of output power of GCU, discharge capacity of BattA, discharge capacity of BattB and range extension torque command of VCU. Arrange them in time order, and based on the arrangement record, map the degree of deviation to the upper limit of output power of GCU and discharge capacity of BattA and BattB on the same time axis. Call the corresponding record, and for each time segment, based on the upper limit of power and discharge capacity, determine the order of output and mark the sequence segment on the time axis to generate the output sequence amplitude. The output integration submodule, based on the output sequence amplitude, calls the upper limit of the output power of GCU, the discharge capacity of BattA, the discharge capacity of BattB and the range extension torque command of VCU in each discharge segment and processes them at the same time point. Based on the power demand benchmark, it organizes the three outputs and records the output combination of each segment. On the time axis, it calls the combination record to extract the continuous combination interval according to the segment connection and generates the output combination sequence. The distribution generation submodule, based on the output combination sequence, calls the corresponding processing of continuous combination intervals in time sequence, judges the continuity relationship between adjacent intervals, extracts stable connection combination groups, integrates them into the overall output distribution relationship in sequence arrangement, establishes a distribution relationship summary record, and generates energy storage redundancy allocation results.

[0011] As a further embodiment of the present invention, the power output path coordination module includes a path screening sub-module, a path marking sub-module, and a stage integration sub-module; The path screening stator module obtains the output combination relationship corresponding to each discharge segment time interval in the energy storage redundancy allocation result, obtains the drive demand of BattA to MotorA, the drive demand of BattB to MotorB, the drive demand of GCU, and the conduction state of PDU precharge relay in chronological order, and based on the arrangement record, for each time point with the conduction state of PDU precharge relay as the benchmark, screens out the path that allows BattA, BattB, or GCU to establish current output, and processes the screened path and output combination relationship at the same time point to generate the power-on path amplitude; The path marking submodule, based on the power-on path amplitude, calls the output combination relationship within each discharge time segment and processes it accordingly on the time axis. Based on the matching status of the power-on path and the combination relationship for each time segment, it marks the power-on path record of each discharge time segment. In the time sequence, the marked records are judged according to the connection relationship of each discharge time segment, and continuous marked groups are extracted to generate a path marking sequence. The stage integration submodule, based on the path marker sequence, calls the continuous marker group to perform corresponding processing in the time series, judges the continuity relationship of adjacent marker groups, and organizes them into a path sequence of driving stages. Under the arrangement of the stage sequence, a path coordination record is established, and the path coordination performance between segments is summarized in time order to generate energy storage redundancy path results.

[0012] As a further aspect of the present invention, the process of filtering out the paths that allow BattA, BattB, or GCU to establish current output based on the PDU precharge relay conduction state is specifically as follows: When the PDU precharge relay is in the on state and the voltage establishment condition is met, the minimum allowable voltage of BattA to MotorA drive demand, BattB to MotorB drive demand and GCU drive demand at the same time point is used as the path determination basis. By comparing the minimum allowable voltage with the bus voltage at each time point, the path corresponding to the time point where the bus voltage is higher than the minimum allowable voltage is selected. The process of recording the power-on path for each discharge time segment, based on the matching of the power-on path and the combination relationship, is as follows: Within each discharge time segment, the power demand magnitudes of BattA's drive demand for MotorA, BattB's drive demand for MotorB, and GCU's drive demand are used as matching order parameters. By comparing the path allowable situation at the corresponding time point in the power-on path amplitude with the corresponding power demand magnitude, each time point is marked with a path and continuously integrated into a segment mark.

[0013] As a further aspect of the present invention, the process of determining the succession relationship of adjacent marker groups specifically includes: By comparing the time continuity of BattA's driving demand for MotorA, BattB's driving demand for MotorB, and GCU's driving demand corresponding to adjacent marker groups, when the change in any driving demand in an adjacent marker group is within a preset change threshold, the adjacent marker groups are merged into a unified time phase sequence. The process of establishing path collaboration records under the arrangement of stage sequences is as follows: Using the start and end times of consecutive marker groups in the time series as path boundary conditions, a path channel arrangement relationship with continuity in time sequence is formed by comparing the path allowable conditions of adjacent stages, and the path correspondence of each stage is recorded in the integrated path channel arrangement relationship.

[0014] As a further aspect of the present invention, the system further includes: The energy recovery and replenishment assessment module, based on the path coordination record in the energy storage redundancy path result, obtains the recovery flow direction formed by the braking feedback current and bus voltage of MotorA and MotorB, obtains the charging acceptance capability of BattA and BattB to form the replenishment current direction, and associates the two with the path coordination mark of each discharge segment and records the coordination behavior to generate the comprehensive energy storage redundancy result. The comprehensive results of energy storage redundancy include energy recovery pattern, power replenishment distribution, and collaborative performance system.

[0015] As a further embodiment of the present invention, the energy recovery and recharge assessment module includes a recovery flow direction construction submodule, a recharge flow direction corresponding submodule, and a cooperative behavior generation submodule; The recycling flow direction construction submodule obtains the braking feedback current of Motor A, the braking feedback current of Motor B and the bus voltage in chronological order according to the path coordination record in the energy storage redundancy path result. It then forms the recycling flow direction by corresponding the two currents and the bus voltage at the same time point, and sorts out the recycling performance by corresponding the recycling flow direction and the path coordination record according to the discharge segment. Finally, it gathers the segment records in the time series and generates the recycling correlation amplitude. The current replenishment direction corresponding submodule, based on the recovery correlation amplitude, calls BattA charging acceptance capability and BattB charging acceptance capability in the order of segments. For each segment, based on the charging acceptance capability, the current replenishment direction and path coordination record are processed and the replenishment segment is recorded. The segment connection relationship is sorted in time order to form a continuous replenishment sequence. The replenishment coordination performance is obtained under the sequence, and the replenishment coordination amplitude is generated. The collaborative behavior generation submodule, based on the replenishment coordination amplitude, calls the replenishment sequence and the recovery correlation amplitude to process the corresponding segments. For the corresponding segments, it records the collaborative performance of the recovery flow direction and the replenishment current direction in chronological order, and organizes them into collaborative behavior records under the working condition sequence according to the connection of adjacent segments. It forms a collaborative sequence structure on the time axis and generates a comprehensive result of energy storage redundancy.

[0016] Compared with the prior art, the advantages and positive effects of the present invention are as follows: In this invention, the battery discharge state is continuously characterized during vehicle operation and power demand is corresponding to time segments. The available depth of the energy storage unit is identified by the voltage and current changes within the segments. The output space is synchronously compared with the drive power trajectory in a serialized manner, so that the supply and demand offset position and change trend show clear characteristics under dynamic load. During the power rise or fall phase, the intervention order and the proportion of each energy unit are continuously integrated to keep the output relationship stable in fluctuating conditions. By corresponding and calibrating the power-on path and the energy return direction, the braking feedback and recharging behavior are kept consistent with the direction of electric energy during the driving phase. Thus, the continuity and sustainability of energy storage redundancy are maintained under high load and frequent energy exchange conditions. Attached Figure Description

[0017] Figure 1 This is a system flowchart of the present invention; Figure 2 This is a flowchart illustrating the process of obtaining basic information on energy storage redundancy in this invention. Figure 3 This is a flowchart illustrating the process of obtaining energy storage redundancy offset information according to the present invention. Figure 4 This is a flowchart illustrating the process of obtaining the energy storage redundancy allocation results of the present invention. Figure 5 This is a flowchart illustrating the process of obtaining the energy storage redundancy path results of the present invention. Figure 6 This is a flowchart illustrating the process of obtaining the comprehensive results of energy storage redundancy in this invention. Detailed Implementation

[0018] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0019] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0020] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0021] Please see Figure 1 This invention provides a technical solution: a high-efficiency intelligent range extender energy storage redundancy system, the system comprising: The energy state acquisition module acquires BattA voltage, BattA current, BattB voltage, BattB current, and SOC signal from the high-voltage power battery management unit of new energy heavy-duty trucks. It organizes the discharge segments of BattA and BattB in time sequence, and matches the discharge segments, drive power requirements, and GCU output power item by item. It also matches the SOC signal with the discharge segments, determines the degree to which BattA and BattB are in a dischargeable state within each discharge segment, identifies whether BattA and BattB are in a dischargeable range or a restricted range within the discharge segment, and forms a discharge feasibility record. The discharge feasibility record and demand difference information are summarized in time sequence to form a quantitative representation of the power output that BattA and BattB can undertake within each discharge segment, and generates basic information on energy storage redundancy. The peak supply and demand timing analysis module obtains the speed and torque records of MotorA and MotorB of the electric drive control unit of the new energy heavy truck based on the time division of each discharge segment in the basic information of energy storage redundancy. It constructs the actual drive power change trajectory of the whole vehicle, and makes a time-series correspondence between the drive power change trajectory and the GCU output power change trajectory at the time segment when the peak occurs. It identifies and marks the time segment when the peak occurs and the supply and demand are inconsistent. It records the duration and occurrence position of the time segment with inconsistent supply and demand in chronological order. It matches the time segment with the discharge segment time division and organizes it into supply and demand deviation items. It identifies the supply and demand deviation items that are arranged in succession in time as continuous items, and uses the connection method and the order of occurrence of continuous items in time sequence as the presentation method of deviation performance to form an expression of the degree of supply and demand deviation and generate energy storage redundancy offset information. The range-extended energy storage redundancy allocation module obtains the upper limit of output power of the GCU of the new energy heavy truck range extender control unit, the discharge capacity of BattA, the discharge capacity of BattB, and the range-extending torque command of the VCU of the vehicle control unit based on the deviation degree of each discharge segment and the corresponding time segment in the energy storage redundancy offset information. It then serializes these commands along the same time axis, determines the order in which GCU, BattA, and BattB bear the power output for each time segment, and organizes the output ratio of GCU, BattA, and BattB in each discharge segment time interval into output combination records based on the order. It then organizes the continuous combination records to form a stable output distribution relationship and generates the energy storage redundancy allocation result. The power output path coordination module obtains the drive demand of BattA to MotorA, the drive demand of BattB to MotorB, the drive demand of GCU, and the conduction status of PDU pre-charge relays based on the output combination relationship corresponding to each discharge time interval in the energy storage redundancy allocation result. According to the conduction status of PDU pre-charge relays, it filters out the power-on paths that allow BattA, BattB, or GCU to establish current output, matches and marks the output combination relationship corresponding to the power-on paths in each discharge time segment, and integrates the power-on path matching and marking of each discharge time segment according to the driving stage to form a path coordination record and generate energy storage redundancy path results.

[0022] The energy recovery and replenishment assessment module, based on the path coordination records in the energy storage redundancy path results, obtains the braking feedback current and bus voltage records of MotorA and MotorB and forms the recovery flow direction. At the same time, it obtains the charging acceptance capabilities of BattA and BattB and forms the replenishment current direction. Within each discharge segment time interval, the recovery flow direction is matched with the path coordination mark item by item, and the replenishment current direction is matched with the path coordination mark item by item in the same time interval. The module records the coordination performance of the recovery flow direction and the replenishment current direction within each discharge segment time interval, and organizes them into a coordination behavior record according to the operating condition sequence to generate a comprehensive energy storage redundancy result.

[0023] The basic information on energy storage redundancy includes battery capacity range, discharge carrying capacity, and energy release potential. The energy storage redundancy offset information includes the magnitude of supply and demand differences, segment offset ranking, and time-series deviation trend. The energy storage redundancy allocation results include the power bearing ratio, energy distribution composition, and output structure framework. The energy storage redundancy path results include the path channel structure, energy supply distribution form, and power flow layout. The comprehensive results of energy storage redundancy include the energy recovery pattern, power replenishment carrying capacity distribution, and collaborative performance system.

[0024] Please see Figure 2 The energy state acquisition module includes an electrical parameter processing submodule, a discharge range identification submodule, and a discharge capacity generation submodule. The electrical parameter processing submodule acquires BattA voltage, BattA current, BattB voltage, BattB current, and SOC signal in chronological order, maps the drive power demand at the same time point to the GCU output power, calls the corresponding record to filter the continuous time period of negative current and marks it as a discharge segment, maps the SOC signal to each discharge segment according to time point, and divides different change ranges on the time axis according to the SOC change after mapping to generate SOC change intervals; The BattA voltage, BattA current, BattB voltage, BattB current, and SOC signal of the high-voltage power battery management unit of the new energy heavy-duty truck are obtained and arranged in chronological order. For the driving data of the heavy-duty truck under the condition of climbing uphill with full load, high-precision Hall current sensors and voltage isolation sampling modules are used to collect analog quantities at the battery end, and upload them at a frequency of 10Hz through the high-speed CAN bus interface inside the battery management system (BMS) to establish a time axis sequence, and extract each moment on the time axis. The corresponding voltage value of BattA Current value Voltage values ​​of BattB Current value and their respective states of charge corrected by the ampere-hour integration method and the open-circuit voltage method. and The drive power demand sequence is traversed through the vehicle's CAN network. Output power sequence of range extender generator control unit Perform a subtraction operation at each sampling time to calculate the net power demand. Simultaneously, the current scanning program is started, and the current discharge judgment threshold is set to -5A to filter sensor zero drift and noise oscillation. If it is detected... and If the value is simultaneously less than -5A and the duration exceeds the set time window threshold of 10 seconds, the start time of this continuous time interval is locked. and the end time This interval is marked as an effective discharge segment. All SOC values ​​within this segment are extracted, and the SOC change rate within the segment is calculated. The SOC (State of Charge) state is defined by a high charge threshold of 80% and a low charge threshold of 30%. If the average SOC value within a segment is greater than 80%, it is classified as a high-energy zone; between 30% and 80% is classified as a plateau zone; and below 30% is classified as a depletion zone. For a real-world example, when the vehicle... to During this period, the system monitored that the bus voltage remained stable at approximately 650V. It remained between -150A and -160A. For 280kW At 80kW, the total output current of the dual batteries is approximately 308A (corresponding to a net power of approximately 200kW to meet the demand). The SOC drops from 65% to 62%. The program packages the entire 50-second data packet and marks it with an index, mapping the SOC decrease per second to the time index. Based on the SOC value range of 62%-65%, it is defined as falling within the plateau range, generating the SOC change interval.

[0025] The discharge interval identification submodule, based on the SOC change interval, calls the simultaneous time point records of BattA voltage, BattA current, BattB voltage, and BattB current within each discharge segment. For each time point, it determines whether BattA and BattB are in a dischargeable or restricted state according to the lower voltage threshold and the upper current threshold. Based on the state judgment results, the corresponding drive power requirements and GCU output power of each discharge segment are processed at the same time point. The dischargeable interval proportion feature is extracted from the state distribution within each discharge segment to generate the dischargeable proportion. Based on the SOC variation range, the system retrieves simultaneous time-point records of BattA voltage, BattA current, BattB voltage, and BattB current within each discharge segment, and sets the lower voltage threshold according to the battery cell specifications. The setting principle is to multiply the single-cell discharge cutoff voltage of 2.5V by the number of cells in series (180) to get 450V, and set the upper limit threshold current. The setting principle is to multiply the battery's maximum allowable continuous discharge rate of 1.5C by the rated capacity of 280Ah to get 420A, and then iterate through every moment within the discharge segment. voltage With the absolute value of the current Perform logical comparison operations, if and The battery is then determined to be in a "dischargeable state" at that moment. If any parameter exceeds the threshold (i.e., the voltage is too low or the current is too high), it is determined to be in a "limited state," and an anomaly counter is triggered to count the total number of sampling points within the discharge segment. The number of sampling points in the "dischargeable state" is accumulated. The state flag (0 or 1) at each moment is associated with the drive power requirement at that moment. and GCU output power Perform index matching. For example, in a 20-second discharge segment, there are 200 sampling points. 180 of these sampling points have a voltage of 520V and a current of 200A, meeting the conditions. Only the last 20 points trigger the limitation judgment due to the voltage dropping to 448V. Calculate the ratio. The value 0.9 is obtained and used as a quantitative indicator of the health of the discharge segment under the current operating conditions. At the same time, the time distribution of the limited state is recorded. If the limited state is concentrated at the end of the segment, it indicates that the battery is not capable at the end of deep discharge. If the limited state is scattered, it indicates that the instantaneous power demand is too large. The state judgment results of all time points (1 is dischargeable, 0 is limited) are compiled into a sequence to generate the dischargeable percentage.

[0026] The discharge capacity generation submodule, based on the dischargeable percentage, calls the drive power requirements of each discharge segment and the output power of the GCU in chronological order for corresponding processing. It compares the differences between the BattA voltage, BattA current, BattB voltage, BattB current and drive requirements within the dischargeable range and records the output performance at each time point. It continuously integrates these on the time axis to form a quantitative representation of the output capacity that BattA and BattB can bear, generating basic information on energy storage redundancy. Based on the dischargeable percentage, the drive power requirements of each discharge segment and the GCU output power are processed sequentially over time to extract the set of time points marked as "dischargeable state". For each moment in the set... Calculate the total power actually borne by BattA and BattB: (Results converted to kW), and the theoretical power required is calculated. ; Perform interpolation ,like If the absolute value is less than the set tolerance of 1kW, then the output at that moment is considered to meet the demand. For negative values ​​exceeding 1kW, record the power deficit value at that moment. For time points marked as "limited state," directly record the difference between the specific voltage or current exceeding the limit and the threshold. For example, if the voltage is 448V at a certain moment, which is lower than the threshold of 450V, record the voltage difference as -2V. Record all time points under the "dischargeable state" condition. Numerical integration or discrete accumulation over the time axis is performed using the following formula: ; in With a sampling interval of 0.1s, a coefficient of 1 / 3600 is used to convert kW·s to kWh, thereby obtaining the total energy actually released by the battery pack within this discharge segment. It is assumed that during a 30-second uphill climb, the battery pack cumulatively outputs 2.5kWh of energy within the dischargeable range, and the output power at each moment is consistent with... Matching involves packaging the power curve and energy values ​​within these 30 seconds as a quantitative basis for evaluating the battery pack's carrying capacity under the current operating conditions. It integrates the power response capability at each moment, the existence of over-limit behavior, and the cumulative output energy into structured data entries to generate basic information on energy storage redundancy.

[0027] Please see Figure 3 The peak supply and demand time series analysis module includes a power trajectory construction submodule, a supply and demand deviation extraction submodule, and a deviation degree generation submodule. The power trajectory construction submodule obtains the discharge segment time division from the basic information of energy storage redundancy, obtains the speed of Motor A, torque of Motor A, speed of Motor B, torque of Motor B and output power of GCU arranged in time order, and combines the speed and torque of Motor A and Motor B based on the arrangement record to form the drive power change trajectory. It calls the drive power change trajectory and GCU output power to perform corresponding processing at the peak position, and extracts the time range of the peak to generate the peak time range. The system acquires the discharge segment time division from the basic information of energy storage redundancy, obtains the speed and torque of Motor A, the speed and torque of Motor B, and the output power of GCU in chronological order, and sets the data sampling period to 100ms for the operating characteristics of the dual-motor drive system of heavy-duty trucks. It uses a rotary transformer or photoelectric encoder installed on the motor shaft to collect real-time speed, and calculates the real-time electromagnetic torque using the current vector calculation inside the motor controller (MCU), iterating through each sampling moment. Extract the real-time rotational speed of Motor A (Unit: rpm) and real-time torque (Unit: N·m) Extract the real-time rotational speed of Motor B. With real-time torque According to the motor power calculation formula Calculate the instantaneous mechanical power output of each motor separately, i.e. and The results of the two calculations are then superimposed. To construct the actual driving power change trajectory of the entire vehicle, and simultaneously read the electric power output value of the range extender control unit (GCU) at the same moment. ,Will Sequence and The sequences are aligned on the same time axis, the peak search logic is initiated, and the peak determination power threshold is set. The total rated drive power of the vehicle is 400kW, which is 80% of 320kW. The trajectory identifies all local maxima greater than 320kW as peak center points. For each Extend the search in both directions along the timeline until... The value decays to below 70% of the peak value, thus determining the start time of the peak event. and the end time For example, during a rapid acceleration uphill, Motor A outputs 1800 N·m at 1500 rpm, and Motor B outputs 1800 N·m at 1500 rpm. The calculated power of a single motor is approximately 282.7 kW, and the total power of 565.4 kW exceeds the threshold. The system locks the 8-second time interval of this high-power continuous output and uses this interval as the focus of analysis to generate the peak time range.

[0028] The supply-demand deviation extraction submodule, based on the peak time range, calls the drive power and GCU output power records at the peak time points. For each time point within the peak range, it uses the difference between the two items as a benchmark to determine whether the supply and demand are consistent and marks the inconsistent segments. It calls the inconsistent segments and discharge segments to match the time division, extracts the continuously arranged segments, and generates the supply-demand deviation sequence. Based on the peak time range, the drive power and GCU output power records at the peak time points are retrieved, within each peak time interval determined above. Internally, calculate the drive power requirement point by point. Power supplied by the range extender algebraic difference between Set a dead zone threshold for determining supply and demand consistency. The value is 5kW. If the absolute value of the calculated difference is... If it is determined that supply and demand are basically in balance at that moment, If a discrepancy is found between supply and demand, that moment is marked as a "point of inconsistency" and further investigation is required. The sign is used to indicate whether the value is positive and greater than 5kW, and is marked as "demand overflow deviation". If the value is negative and less than -5kW, it is marked as "supply redundancy deviation". If the inconsistency point is detected to be discretely distributed on the time axis and the duration of a single occurrence is less than 200ms, it is regarded as transient noise and is removed. Only the steady-state deviation segment is retained. All time coordinates marked as "inconsistency points" and passing the steady-state verification are extracted and intersected with the "discharge segment time division" generated by the previous module. Those time segments that are both in the peak supply and demand deviation state and in the battery discharge state are selected. For example, at the peak time of 565.4kW, the GCU only outputs 120kW, generating a huge power gap of 445.4kW (demand overflow). At this time, the battery is in the discharge range. This moment and the consecutive moments that meet the conditions before and after it are connected in series. Finally, these time periods when the battery must intervene to fill the huge power gap under the peak high voltage are extracted to generate the supply and demand deviation sequence.

[0029] The deviation degree generation submodule, based on the supply and demand deviation sequence, calls the corresponding processing of the occurrence position and duration of the deviation segment on the time axis, judges the time continuity relationship of adjacent segments and organizes the continuous segment group, forms a deviation performance record in time sequence, and generates energy storage redundancy offset information. Based on the supply and demand deviation sequence, the occurrence position and duration of the deviation segments are matched on the timeline. All extracted supply and demand deviation sequence segments are traversed to obtain the start time of each segment. End time and the average power deviation value within that segment Set a time proximity threshold For a period of 3 seconds, the continuity of adjacent segments arranged in chronological order is determined. If the end time of the previous segment is... The start time of the next segment If the difference between the two segments is less than 3 seconds, then the two segments are considered to belong to the same "continuous supply and demand pressure event" and are merged into the same group of records. The "interval" characteristics between the two segments are also recorded. For each merged group of continuous segments, its cumulative energy gap is calculated. (Unit: kWh) To quantify the degree of deviation, assuming the system identifies two adjacent deviation segments, the first lasting 5 seconds with an average deficit of 200kW, followed by a 2-second interval, and the second lasting 4 seconds with an average deficit of 180kW, the system combines these two into a composite event lasting 11 seconds (including the interval) and calculates the total energy deficit to be approximately 0.477kWh. The distribution location (such as "early stage of climbing" and "late stage of acceleration"), duration and energy gap of such composite events on the time axis are structured and encoded to form a time-series record reflecting the degree of dependence of the vehicle on the energy storage system under extreme conditions, and to generate energy storage redundancy offset information.

[0030] Please see Figure 4 The range-extended energy storage redundancy allocation module includes a deviation call submodule, an output centering submodule, and a distributed generation submodule; The deviation call submodule obtains the degree of deviation of the discharge segment in the energy storage redundancy offset information and obtains the upper limit of output power of GCU, the discharge capacity of BattA, the discharge capacity of BattB and the range extension torque command of VCU. Arrange them in time order, and based on the arrangement record, map the degree of deviation to the upper limit of output power of GCU and the discharge caps of BattA and BattB on the same time axis. Call the corresponding record, and for each time segment, based on the upper limit of power and the discharge capacity, determine the order of output and mark the sequence segment on the time axis to generate the output sequence amplitude. The system extracts the discharge segment deviation from the energy storage redundancy offset information and obtains the upper limit of the output power of the GCU, the discharge capacity of BattA, the discharge capacity of BattB, and the range-extending torque command of the VCU. These are arranged in chronological order, and for each time step, a sampling sequence with a time step of 10ms is set. The system then calls the intelligent management algorithm built into the vehicle controller (VCU). This algorithm dynamically calculates the range-extending torque command based on the vehicle's driving status (vehicle speed, gradient) and the driver's intention. It can also optimize the allocation strategy of multiple energy sources in real time, and... Combined with the current motor speed Converted to total drive power demand Simultaneously read the real-time maximum allowable power reported by the range extender controller. And the real-time peak discharge power limits of BattA and BattB reported by the battery management system. and For each point in time, the power demand and supply capacity are compared to determine the supply-demand difference. If the system is determined to be in range extender independent coverage mode, the GCU is marked as the first priority power source. Calculate the power gap At this point, the discharge capacity of BattA and BattB needs to be utilized to replenish the battery. Based on the power balance strategy of the dual-battery system, the current state of charge of BattA and BattB is read. and Set the SOC difference balance threshold to 5%. and If BattA is determined to be the second priority power source and BattB to be the third priority power source, then BattA is determined to be the second priority power source and BattB to be the third priority power source. If the difference is higher, then the opposite applies; if the SOC difference between the two is within 5%, then further comparison is needed. and The candidate with the higher numerical value will be given priority; Suppose at a certain moment of climbing, ,and There is a 100kW shortage at this time. and The system determines the output order as GCU first, BattA second, and BattB last. It writes the sequence identifier code of "GCU->BattA->BattB" (e.g., encoded as 1-2-3) into the status register of the timestamp and continuously scans subsequent time windows until a sudden change in power demand or supply capacity causes the priority logic to flip. On the time axis, consecutive moments with the same output order identifier are concatenated and marked as output order segments with specific priorities, generating an output order amplitude.

[0031] The output integration submodule, based on the output sequence amplitude, calls the upper limit of the output power of GCU, the discharge capacity of BattA, the discharge capacity of BattB, and the range extension torque command of VCU in each discharge segment and processes them at the same time point. Based on the power demand benchmark, it organizes the three outputs and records the output combination of each segment. The combination record is called on the time axis to extract the continuous combination interval according to the segment connection and generate the output combination sequence. Based on the output sequence amplitude, the upper limit of the output power of the GCU, the discharge capacity of BattA, the discharge capacity of BattB, and the VCU range-extending torque command within each discharge segment are called and processed at the same time point. This process iterates through each of the generated output sequence segments, and for each discrete time point within a segment... The specific power allocation calculations are performed according to the determined priority order, and the output value of the first priority GCU is allocated: Calculate the remaining demand: ,like Then, the output value of the second priority (let's say BattA) is allocated. Recalculate the remaining demand. If there are still remaining output values, then allocate them to the third priority (let's say BattB). This ultimately forms the power allocation vector at that moment. For example, during the 3-second acceleration of a fully loaded heavy truck, the demand jumps from 300kW to 450kW. The GCU continuously outputs its maximum power of 200kW. BattA, as the second priority, increases its power output from 100kW to its maximum power of 150kW as demand increases. BattB, as the third priority, intervenes in the last second, outputting power from 0kW to 100kW. The system records the specific power value changes of the three power sources during these 3 seconds. Subsequently, the system extracts features from the allocation results and defines the power allocation ratio features. If the output state of each power source remains consistent within 50 consecutive sampling points (i.e., 0.5 seconds) (e.g., all are in the state of "GCU full load + BattA full load + BattB adjustment"), then this 0.5 seconds is packaged into an "output combination record". The record includes the average power, peak power, and share of each source. The allocation vectors at all time points are classified and merged according to this state stability, forming a series of connected combination intervals on the time axis, generating an output combination sequence.

[0032] The distribution generation submodule calls the corresponding processing of continuous combination intervals in time order according to the output combination sequence, judges the continuity relationship between adjacent intervals, extracts stable connection combination groups, integrates them into the overall output distribution relationship in the sequence arrangement, establishes a distribution relationship summary record, and generates energy storage redundancy allocation results. Based on the output combination sequence, the continuous combination intervals are processed sequentially in time. A continuity analysis of adjacent intervals is performed on the output combination sequence arranged on the time axis. A steady-state filtering time window threshold of 200ms is set. The sequence is checked for short-lived combination intervals lasting less than 200ms. For example, between the two long intervals "GCU dominant" and "GCU+BattA combined," there is a transient interval of 50ms called "GCU+BattA+BattB." This transient interval may be due to signal noise or PID control overshoot causing unrealistic demand. Based on the characteristics of the preceding and following intervals, this transient interval is smoothed and merged into the preceding or following dominant interval to eliminate jitter in the control strategy. If a complete logical conflict is found between adjacent intervals (such as a sudden change from full power to zero output), it is marked as a logical anomaly. The system retains the original data for subsequent fault diagnosis. After filtering, it analyzes the distribution logic of the retained stable combination intervals in the operating cycle, and identifies macroscopic distribution characteristics such as "starting phase - dual electric priority", "cruising phase - range extension dominance", and "climbing phase - full power output". The system encapsulates the start time, end time, duration of each stable interval and the corresponding core logic of power allocation of GCU, BattA, and BattB (such as fixed ratio, peak shaving and valley filling, master-slave control, etc.) in a structured manner, and establishes a mapping table of energy source allocation for the whole vehicle under different driving conditions. Assuming that a long climbing condition of 120 seconds is identified, the system locks it into an overall distribution unit, and internally records the detailed coordination relationship of GCU constant 200kW and BattA and BattB alternately bearing the remaining 50kW fluctuation, and generates energy storage redundancy allocation results.

[0033] Please see Figure 5 The power output path coordination module includes a path screening sub-module, a path marking sub-module, and a stage integration sub-module. The path screening stator module obtains the output combination relationship corresponding to each discharge segment time interval in the energy storage redundancy allocation result, obtains the drive demand of BattA to MotorA, the drive demand of BattB to MotorB, the drive demand of GCU, and the conduction status of PDU precharge relay in chronological order, and based on the arrangement record, for each time point with the conduction status of PDU precharge relay as the benchmark, screens out the paths that allow BattA, BattB, or GCU to establish current output, and processes the screened paths and output combination relationships at the same time point to generate the power-on path amplitude; The output combination relationship corresponding to each discharge segment time interval in the energy storage redundancy allocation result is obtained. The drive demand of BattA to MotorA, the drive demand of BattB to MotorB, the drive demand of GCU, and the conduction status of PDU precharge relay are obtained in chronological order. For the multi-source coordination scenario in the high-voltage power-on and drive process of heavy trucks, the sampling frequency of PDU (Power Distribution Unit) status is set to 50Hz, and each time sampling point is traversed. Read the BattA side main positive relay via hard wire or CAN signal. Main and negative relays and precharge relay Real-time switch auxiliary contact status (1 for closed, 0 for open), read the corresponding relay on BattB side. , , The status signals, and the contactor status of the GCU access point. Based on the high-voltage interlock logic, the physical criteria for path conduction are set, and only when... and If both conditions are met, the main power supply path of the corresponding circuit is determined to be in a "physically conductive" state; if only... and The system is then determined to be in a "pre-charge path on" state. Simultaneously, it acquires the theoretical source allocation command for that moment from the output combination relationship generated by the previous module based on the VCU intelligent algorithm. This theoretical command is then compared with the physical relay state using Boolean logic. The verification scope covers combinations such as BattA driving only MotorA, BattB driving only MotorB, BattA+BatB driving either MotorA or MotorB, and BattA+BatB driving both MotorA and MotorB in pure electric mode. Furthermore, it fully traverses all topologies in range-extended mode, including those where GCU drives either MotorA or MotorB. The following are scenarios where the GCU drives MotorA+MotorB, GCU+BattA drives MotorA or MotorB, GCU+BattA drives MotorA+MotorB, GCU+BattB drives MotorA or MotorB, GCU+BattB drives MotorA+MotorB, GCU+BattA+BattB drives MotorA / MotorB, and GCU+BattA+BattB drives MotorA+MotorB. If the theoretical command requires BattA to output current, check the status of BattA's main power supply path. If so, then mark the BattA path as a "valid execution path"; like If the path is blocked, it is marked as a "path blocking fault". Similarly, the paths between BattB and GCU are checked one by one. For the pre-charge stage, if the pre-charge relay is detected to be closed and the bus voltage is collected by the high-voltage sampling board, the fault is detected. Rise to the battery terminal voltage within a set time window of 200ms. More than 95%, that is If the precharge path is successfully established, the subsequent main relay closure is allowed. For example, in a certain instance... At startup, the power output combination requires BattA to drive MotorA independently, and the system detects this. It opens 0.5 seconds after closing. and The circuit is then closed, and all relays on the BattB side are open. The system sets the path status code at that moment to [1,0,0] (corresponding to BattA, BattB, GCU), and associates this status code with the drive current requirement of Motor A. Perform association binding, filter out invalid time points that exist in theory but are not physically established due to relay jitter or failure, retain all valid time segments that match the physical path and logical requirements, and generate the power-on path amplitude.

[0034] The path marking submodule, based on the power-on path amplitude, calls the output combination relationship within each discharge time segment and processes it accordingly on the time axis. Based on the matching status of the power-on path and the combination relationship for each time segment, it marks the power-on path record of each discharge time segment. In the time sequence, the marked records are judged according to the connection relationship of each discharge time segment, and continuous marked groups are extracted to generate a path marking sequence. Based on the power-on path amplitude, the output combination relationship within each discharge time segment is called and processed accordingly on the time axis, traversing each effective discharge time segment determined in the previous steps. Within this time window, the power-on path status code sequence is scanned point by point, and path consistency determination logic is set. If the status codes are consecutive... Within each sampling point (set) If the path status code remains constant (e.g., a continuous all-source parallel state of [1,1,1]), then this 1-second interval is marked as a stable "path-combination matching unit". If a status code transition occurs in the middle of the segment, for example, from [1,1,0] to [1,0,0] (meaning BattB suddenly loses power), the precise moment of the transition is recorded. It also calculates the duration before and after the transition, and sets a minimum effective path holding time threshold based on the characteristics of heavy truck driving conditions. If the duration of a certain path state is less than 0.5s, it is judged as a "transient disturbance" and discarded, only the steady-state path record is retained. For each retained steady-state path unit, its matching degree with the actual torque response of Motor A and Motor B in the same time period is calculated, using the following formula: ,in The number of sampling points. It is a Boolean value (1 when the path is open and there is current output, 0 otherwise). A value equal to 1 indicates the unit is "fully coordinated"; a value less than 1 indicates "partially restricted". Assuming a 30-second ramp discharge segment, the first 20 seconds are characterized by full conduction of GCU+BattA+BattB (marked as...). After 10 seconds, the BattB relay tripped due to excessive temperature, causing GCU+BattA to become active (marked as...). The system will generate "" on the timeline (20s)-> The sequence record of “(10s)” is recorded and uniquely indexed and bound to the original discharge fragment ID to form a path marker sequence.

[0035] The phase integration submodule, based on the path marker sequence, calls the continuous marker group to perform corresponding processing in the time series, judges the continuity relationship of adjacent marker groups, and organizes them into the path sequence of the driving phase. Under the arrangement of the phase sequence, a path coordination record is established, and the path coordination performance between segments is summarized in time order to generate the energy storage redundancy path result. Based on the path marking sequence, continuous marking groups are called for corresponding processing in the time series. A continuity analysis is performed on all marked path units on the time axis. Based on the power flow characteristics of typical driving conditions for new energy heavy-duty trucks, four basic driving stage models are defined: "starting acceleration," "constant speed cruising," "high-speed overtaking," and "braking recovery." Continuous marking groups are traversed, and the state transition probability and time interval between adjacent marking groups are calculated. A time tolerance threshold for stage merging is set. If the time interval between two path marker groups of the same type (e.g., both driven independently by GCU) is less than 2 seconds (e.g., due to a brief interruption during gear shifting), a merging operation is performed to group them into the same driving phase. For nodes switching between different path types, such as switching from dual-battery power supply in the "starting acceleration" phase to independent GCU power supply in the "constant speed cruise" phase, the smoothness of power handover during the switching process is recorded, and the calculation formula is as follows: If the power change rate exceeds the set threshold of 50kW / s, it is recorded as "abrupt switching"; otherwise, it is recorded as "smooth switching". The entire driving process is divided into several coordinated intervals with clear path characteristics, such as "0-15s: dual-electric parallel start (coordination degree 100%)" and "15-120s: range extender main supply + BattA peak shaving (coordination degree 98%)". The actual grid current integral of each power source and the number of pre-charge relay actions are recorded in each stage to form a detailed history reflecting the coordination effect of physical actions and logical requirements of the vehicle energy management execution layer, and to generate energy storage redundancy path results.

[0036] Please see Figure 6 The energy recovery and power replenishment assessment module includes a recovery flow direction construction submodule, a power replenishment flow direction corresponding submodule, and a collaborative behavior generation submodule. The recycling flow direction construction submodule obtains the braking feedback current of Motor A, the braking feedback current of Motor B and the bus voltage in chronological order based on the path coordination record in the energy storage redundancy path results. It then forms the recycling flow direction by corresponding the two currents and the bus voltage at the same time point, and sorts out the recycling performance by corresponding the recycling flow direction and the path coordination record according to the discharge segment. Finally, it gathers the segment records in the time series and generates the recycling correlation amplitude. Based on the path coordination record in the energy storage redundancy path results, the braking feedback current of Motor A, the braking feedback current of Motor B, and the bus voltage are obtained in chronological order. For the energy recovery process of new energy heavy-duty trucks during downhill or braking conditions, the data acquisition and processing cycle is set to 20ms, iterating through each sampling moment. Read the real-time feedback current of MotorA uploaded by the motor controller (MCU) through the current sensor. (Defining the outflow from the motor as negative), Motor B's feedback current. and high-voltage bus voltage Simultaneously, the path coordination record generated by the preceding module is retrieved, and the physical conduction status flags of the main circuit relays of BattA and BattB at that moment are extracted. and (1 indicates on, 0 indicates off), calculate the theoretically recoverable total power of the entire vehicle: (Unit: kW), the effective recycling threshold is set at 5kW. If the current is determined to be in an effective recycling state, the current flow is logically split according to the path status flag. and The system determines that the recovered energy flows unidirectionally to BattA. If both values ​​are 1, the flow is diverted to the dual-battery system. If both values ​​are 0, the energy flows to the braking resistor or dissipation. If an abnormal state occurs where there is feedback current but the path is completely disconnected, it is marked as an "energy waste event." For each effective recovery state, the flow direction attribute (e.g., "dual-source-dual-storage" or "single-source-single-storage") is recorded. Specifically, the physical distribution paths of MotorA feeding back to BattA, MotorB feeding back to BattB, and both motors simultaneously feeding back to either or both battery packs are identified. The continuity of the flow direction attribute is checked on the time axis. If the same flow direction attribute lasts for more than 200ms, it is locked as an independent recovery flow segment, and the start time, end time, average bus voltage, and cumulative feedback energy of the segment are recorded. (Unit: kWh) Assuming that during a 15-second braking process, both Motor A and Motor B generate feedback current for the first 10 seconds and both BattA and BattB paths are conductive, and for the last 5 seconds, due to the decrease in vehicle speed, only Motor A provides feedback and BattB path is disconnected, the system divides these 15 seconds into two independent flow segments, records the corresponding current source and voltage conditions for each segment, queues all the sorted time segments with flow direction labels according to their occurrence order, and generates a recovery correlation amplitude.

[0037] The current replenishment direction corresponding submodule, based on the recovery correlation amplitude, calls the charging acceptance capabilities of BattA and BattB in the order of segments. For each segment, based on the charging acceptance capability, the current replenishment direction and path coordination record are processed and the replenishment segment is recorded. The segment connection relationship is sorted in time order to form a continuous replenishment sequence. The replenishment coordination performance is obtained under the sequence, and the replenishment coordination amplitude is generated. Based on the recovery correlation amplitude, the BattA and BattB charge acceptance capabilities are retrieved in segment order. According to the pulse charging characteristic MAP map in the battery management system (BMS) internal memory, and considering the current battery temperature... With state of charge Using these as index variables, look up the tables to obtain the maximum allowable continuous feedback charging current limits for BattA and BattB at the current moment. and Iterate through the recycling flow segments generated in the previous steps, and for each sampling point within a segment, sum the theoretical feedback current. Overall acceptance capacity of the battery system; Perform numerical comparisons; Calculate the feedback current acceptance index ,like This moment is marked as "fully charged," meaning that the feedback energy is fully absorbed. Marked as "limited power supply state", calculate the overflow current value. Simultaneously, the actual battery-side sampled inlet current is read. and Perform a verification; if the sum of the actual inflow currents is equal to... If the deviation is within 5% and the battery is in a fully charged state, the charging path is confirmed to be unobstructed and effective. The time intervals in which the battery is continuously charged (fully or limitedly) are extracted and a charging segment record is established. For example, under a certain low temperature condition, the battery's receiving capacity is only 50A, while the motor's feedback current reaches 100A. The system recognizes that although there is charging behavior during this period, it is in a "limited charging state". The actual charging capacity and the theoretical capacity lost due to capacity limitation are recorded during this period. The charging state and limiting factors (such as low temperature, high SOC, and path disconnection) of each segment are encoded and connected in series according to the time sequence to generate a charging coordination amplitude.

[0038] The collaborative behavior generation submodule, based on the power replenishment coordination amplitude, calls the corresponding processing of the power replenishment sequence and the recovery correlation amplitude in the same segment. For the corresponding segment, it records the collaborative performance of the recovery flow direction and the power replenishment flow direction in chronological order, and organizes them into collaborative behavior records under the working condition sequence according to the connection of adjacent segments, forming a collaborative sequence structure on the time axis, and generating a comprehensive result of energy storage redundancy. Based on the power replenishment coordination amplitude, the power replenishment sequence and the recovery correlation amplitude are called and processed in the same segment. Under a unified time axis coordinate system, the data records of the recovery correlation amplitude (supply side) and the power replenishment coordination amplitude (demand side) are aligned for each corresponding discharge / recovery time segment. Calculate energy recovery rate ,in This refers to the actual energy deposited into the reservoir as recorded in the power replenishment sequence. To recover the energy generated at the motor end recorded in the associated amplitude, a coordination level evaluation standard is set. If it is judged as "excellent synergy", then If it is determined to be "general coordination", then The condition was determined to be "inefficient coordination." A thorough analysis of the causes of the inefficient coordination fragments was conducted, comparing the path status and battery acceptance capabilities during the same period. If the inefficient coordination was caused by a broken path... Low, marked as "path-blocking loss", if due to battery Insufficient energy density leads to what is labeled as "capacity bottleneck loss." All segments within the entire operating cycle are sequentially linked to form a behavioral sequence encompassing the entire "generation-transmission-absorption" chain. For example, during a long downhill section, the initial stage sees battery utilization at only 30% due to low temperatures (capacity bottleneck); the middle stage, after battery heating, utilization increases to 98% (excellent synergy); and the final stage, due to the SOC reaching the full charge threshold, path interruption reduces utilization to 0% (path blockage). This series of synergistic behavioral characteristics is structured and archived as the final basis for evaluating the energy throughput efficiency and control strategy matching degree of the vehicle's energy storage redundancy system under dynamic operating conditions. High-efficiency energy utilization is achieved through combinations of various energy modules, fully utilizing physical allocation methods on the energy recovery path to realize energy recovery timing differences, ensuring energy recovery remains in a high-efficiency range, reducing brake pad usage frequency, lowering costs, and generating a comprehensive energy storage redundancy result.

[0039] BattA and BattB mentioned above are independently configured high-voltage power battery systems. A battery pack (BMS) is typically composed of several lithium-ion battery cells (such as lithium iron phosphate or ternary lithium) connected in series and parallel. Each BMS has an independent internal management system for real-time acquisition of voltage, current, temperature and calculation of state of charge (SOC). It has an independent high-voltage interface and charge / discharge control capabilities. It is a core component in the energy storage system of new energy heavy trucks for providing driving energy and recovering braking energy. It is a mature technology in the current technology.

[0040] MotorA and MotorB mentioned above are high-power vehicle traction motors, typically permanent magnet synchronous motors (PMSM) or AC asynchronous induction motors. Each is equipped with an independent motor controller (MCU) to receive torque commands and convert DC power into AC power to drive the motor. They drive different axles or wheels of the vehicle through drive shafts or wheel-side reduction mechanisms, supporting both drive and regenerative braking modes. This is a mature technology in the current field.

[0041] The GCU mentioned above is the range extender control unit (Generator). Control The Unit, as the core controller of the range extender system, is used to coordinate the operation of the internal combustion engine and the generator. It is responsible for responding to the power requests of the vehicle controller, adjusting the engine speed and generator torque to output stable high-voltage direct current, realizing the conversion of fossil fuels into electrical energy. It is a mature technology in the existing technology.

[0042] The VCU intelligent algorithm mentioned above is burned into the vehicle controller. Control The energy management strategy program inside the microprocessor (Unit) is usually based on multi-objective optimization theory (such as equivalent fuel consumption minimization strategy ECMS, dynamic programming DP or fuzzy logic control). It can dynamically calculate and allocate the power sharing ratio between the motor and the range extender in real time according to the current vehicle speed, pedal opening, battery SOC and road conditions. It is a mature technology in the existing technology.

[0043] The PDU pre-charge relay mentioned above is integrated into the high-voltage power distribution unit (Power Distribution The high-voltage circuit protection switch in the unit or high-voltage box of the battery pack is usually connected in series with the pre-charge resistor to form a pre-charge circuit. Its function is to close before the high-voltage main positive relay closes, limit the charging current of the bus capacitor through the resistor, and prevent the surge current at the moment of power-on from damaging the high-voltage device. It is then disconnected or bypassed after the bus voltage is established. It is a mature technical means in the existing technology.

[0044] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A high-efficiency intelligent power range extending energy storage redundancy system, characterized in that, The system comprises: An energy state acquisition module acquires BattA and BattB voltage, current and SOC signals, extracts discharge segments in sequence, corresponds the discharge segments with driving power demand and GCU power, judges the dischargeable state of BattA and BattB, distinguishes the dischargeable or limited interval, and generates energy storage redundancy basic information; A peak supply and demand time sequence analysis module acquires MotorA and MotorB speed and torque according to the discharge segment time division in the energy storage redundancy basic information, constructs a driving power trajectory and corresponds it with GCU power, identifies inconsistent segments and records the length and position, sorts them into deviation items, generates energy storage redundancy deviation information; An extended energy storage redundancy deployment module acquires GCU power upper limit, BattA and BattB discharge capacity and VCU extended range command according to the deviation degree and discharge time segment in the energy storage redundancy deviation information, judges the output sequence of the three and sorts out the output proportion, and generates energy storage redundancy deployment results; A power output path coordination module acquires the driving demand corresponding to BattA, BattB and GCU and the PDU pre-charge relay conduction state according to the output combination relationship in the energy storage redundancy deployment results, screens and establishes the power-on path of current and matches it to each discharge segment, and generates energy storage redundancy path results.

2. The high-efficient intelligent power extended-range energy storage redundancy system of claim 1, wherein: The energy storage redundancy basic information includes battery capacity interval, discharge bearing amplitude and energy release potential, the energy storage redundancy deviation information includes supply and demand difference level, segment deviation order and time sequence deviation trend, the energy storage redundancy deployment results include power bearing proportion, energy distribution composition and output structure framework, and the energy storage redundancy path results include path channel structure, energy supply distribution form and power flow direction layout.

3. The high-efficient intelligent power extended-range energy storage redundancy system of claim 1, wherein: The energy state acquisition module comprises an electrical parameter sorting submodule, a discharge interval identification submodule and a discharge bearing capacity generation submodule; The electrical parameter sorting submodule acquires BattA voltage, BattA current, BattB voltage, BattB current and SOC signals arranged in time sequence, corresponds driving power demand and GCU output power at the same time point, calls corresponding records to filter continuous time periods with negative current and marks them as discharge segments, maps SOC signals to each discharge segment at time points, divides different change ranges on the time axis according to the mapped SOC change, and generates SOC change intervals; The discharge interval identification submodule calls the records of BattA voltage, BattA current, BattB voltage and BattB current at the same time point in each discharge segment based on the SOC change intervals, judges whether BattA and BattB are in a dischargeable state or a limited state according to the voltage lower threshold and the current upper threshold at each time point, performs same-time-point corresponding processing based on the state judgment result and the driving power demand and GCU output power corresponding to each discharge segment, extracts the dischargeable interval proportion feature from the state distribution in each discharge segment, and generates the dischargeable proportion. The discharge carrying capacity generation submodule generates the energy storage redundancy basic information according to the dischargeable proportion, calls the driving power demand of each discharge segment and the GCU output power for corresponding processing in time sequence, compares and records the output performance at each time point according to the differences between the BattA voltage, the BattA current, the BattB voltage, the BattB current and the driving demand in the dischargeable interval, continuously integrates the quantified performance of the BattA and the BattB that can bear the output on the time axis, and generates the energy storage redundancy basic information.

4. The high-efficient intelligent power extended-range energy storage redundancy system of claim 1, wherein: The peak supply-demand time sequence analysis module includes a power trajectory construction submodule, a supply-demand deviation extraction submodule, and a deviation degree generation submodule. The power trajectory construction submodule obtains the discharge segment time division in the energy storage redundancy basic information, arranges the MotorA rotating speed, the MotorA torque, the MotorB rotating speed, the MotorB torque and the GCU output power in time sequence, forms a driving power change trajectory based on the arrangement record combination of the MotorA and MotorB rotating speed and torque, calls the driving power change trajectory and the GCU output power for corresponding processing at the peak position, extracts the time range where the peak value is located, and generates the peak time range. The supply-demand deviation extraction submodule calls the driving power and the GCU output power record at the peak time point based on the peak time range, judges whether the supply and demand are consistent or not according to the differences of each time point in the peak range, marks the inconsistent segment, calls the inconsistent segment and the discharge segment time division for corresponding processing, extracts the continuously arranged segment, and generates the supply-demand deviation sequence. The deviation degree generation submodule calls the appearance position and the duration of the deviation segment for corresponding processing on the time axis according to the supply-demand deviation sequence, judges the time connection relationship of adjacent segments and arranges the continuous connection segment group, forms the deviation performance record in time sequence, and generates the energy storage redundancy deviation information.

5. The high-efficient intelligent power extended-range energy storage redundancy system of claim 1, wherein: The extended-range energy storage redundancy deployment module includes a deviation calling submodule, an output regulation submodule, and a distribution generation submodule. The deviation calling submodule obtains the discharge segment deviation degree in the energy storage redundancy deviation information and obtains the GCU output power upper limit, the BattA discharge capacity, the BattB discharge capacity and the VCU extended-range torque instruction, arranges them in time sequence, corresponds the deviation degree to the GCU output power upper limit and the BattA and BattB discharge capacity on the same time axis based on the arrangement record, calls the corresponding record, judges the output sequence according to the power upper limit and the discharge capacity as the reference for each time segment, marks the sequence segment on the time axis, and generates the output sequence range. The output regulation submodule calls the GCU output power upper limit, the BattA discharge capacity, the BattB discharge capacity and the VCU extended-range torque instruction in each discharge segment for corresponding processing at the same time point based on the output sequence range, arranges the three outputs according to the power demand as the reference in the sequence, records the output combination of each segment, extracts the continuous combination interval according to the combination record on the time axis based on the segment connection, and generates the output combination sequence. The distribution generation submodule calls corresponding processing of the continuous combination intervals in time sequence according to the output combination sequence, judges the successive relationship of adjacent intervals, extracts stable connection combination groups, integrates into overall output distribution relationship in sequence arrangement, establishes distribution relationship summary record, and generates energy storage redundancy allocation result.

6. The high-efficient intelligent power extended-range energy storage redundancy system of claim 1, wherein: The power output path coordination module includes a path screening submodule, a path marking submodule, and a stage integration submodule. The path screening submodule obtains the output combination relationship corresponding to each discharge segment time interval in the energy storage redundancy allocation result, obtains the time sequence arrangement of the driving demand of BattA on MotorA, the driving demand of BattB on MotorB, the driving demand of GCU, and the PDU pre-charging relay conduction state, screens out the path allowing BattA, BattB or GCU to establish current output based on the arrangement record and the PDU pre-charging relay conduction state at each time point, and generates the power-on path amplitude by corresponding processing of the screened path and the output combination relationship at the same time point. The path marking submodule calls corresponding processing of the output combination relationship in each discharge time segment based on the power-on path amplitude, marks the power-on path record of each discharge time segment based on the matching condition of the power-on path and the combination relationship for each time segment, judges the marked records in time sequence, extracts continuous marked groups, and generates a path marking sequence. The stage integration submodule calls corresponding processing of the continuous marked groups in time sequence according to the path marking sequence, judges the successive relationship of adjacent marked groups, integrates into the path sequence of the driving stage, establishes the path coordination record in the arrangement of the stage sequence, summarizes the path coordination performance between segments in time sequence, and generates the energy storage redundancy path result.

7. The high-efficient intelligent power extended-range energy storage redundancy system of claim 6, wherein: The process of screening out the path allowing BattA, BattB or GCU to establish current output based on the PDU pre-charging relay conduction state is as follows: When the PDU pre-charging relay conduction state meets the voltage establishment condition, the minimum allowable voltage of the driving demand of BattA on MotorA, the driving demand of BattB on MotorB, and the driving demand of GCU at the same time point is taken as the path determination basis, and the paths corresponding to the time points with bus voltage higher than the minimum allowable voltage are selected by comparing the minimum allowable voltage and the bus voltage at each time point. The process of marking the power-on path record of each discharge time segment based on the matching condition of the power-on path and the combination relationship is as follows: In each discharge time segment, the power demand order of magnitude of the driving demand of BattA on MotorA, the driving demand of BattB on MotorB, and the driving demand of GCU is taken as the matching order parameter, and each time point is marked and continuously integrated into a segment mark by comparing the corresponding relationship between the path allowance of the corresponding time point in the power-on path amplitude and the power demand order.

8. The high-efficient intelligent power extended-range energy storage redundancy system of claim 6, wherein: The process of judging the successive relationship of adjacent marked groups is as follows: By comparing the time continuity of the driving demand of BattA to MotorA, the driving demand of BattB to MotorB and the driving demand of GCU, when the change range of any driving demand in the adjacent marking group is within the preset change threshold, the adjacent marking groups are combined into a unified time stage sequence; The process of establishing the path coordination record under the arrangement of the stage sequence is specifically: Taking the start time and end time of the continuous marking group in the time sequence as the path boundary conditions, the path channel arrangement relationship with continuity in time sequence is formed by corresponding comparison of the path allowed conditions of adjacent stages, and the path corresponding condition of each stage is recorded in the integrated path channel arrangement relationship.

9. The high-efficient intelligent power extended-range storage energy redundancy system of claim 1, wherein: The system further comprises: An energy recovery and power compensation evaluation module, which obtains the MotorA and MotorB braking feedback current and bus voltage recovery flow direction, and obtains the BattA and BattB charging acceptance ability compensation flow direction according to the path coordination record in the energy storage redundancy path result, corresponds and records the coordination behavior of the two to the path coordination mark of each discharge segment, and generates an energy storage redundancy comprehensive result; The energy storage redundancy comprehensive result includes an energy recovery pattern, a power compensation bearing distribution and a coordination performance system.

10. The high-efficient intelligent power extended-range storage energy redundancy system of claim 9, wherein: The energy recovery and power compensation evaluation module comprises a recovery flow direction construction submodule, a compensation flow direction corresponding submodule and a coordination behavior generation submodule; The recovery flow direction construction submodule obtains the MotorA braking feedback current, MotorB braking feedback current and bus voltage arranged in time sequence according to the path coordination record in the energy storage redundancy path result, forms the recovery flow direction by corresponding the two currents and the bus voltage at the same time point, corresponds the recovery flow direction and the path coordination record according to the discharge segment, arranges the recovery performance, collects the segment record in the time sequence, and generates a recovery association range; The compensation flow direction corresponding submodule arranges the BattA charging acceptance ability and the BattB charging acceptance ability according to the recovery association range, takes the charging acceptance ability as the basis for each segment, corresponds and records the compensation segment according to the path coordination record, arranges the segment connection relationship in time sequence to form a continuous compensation sequence, obtains the compensation coordination performance under the sequence, generates a compensation coordination range, and The coordination behavior generation submodule corresponds the compensation sequence and the recovery association range according to the compensation coordination range, records the coordination performance of the recovery flow direction and the compensation flow direction according to the time sequence for the corresponding segment, and arranges the coordination behavior record under the working condition sequence according to the adjacent segment connection, forms a coordination sequence structure on the time axis, and generates an energy storage redundancy comprehensive result.

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