High-efficiency intelligent power range extending and energy storing redundancy system

Abstract

The application relates to the field of power batteries and energy storage technology, in particular to an efficient intelligent power range-extended energy storage redundancy system, which comprises an energy state acquisition module, a peak supply-demand time sequence analysis module, a range-extended energy storage redundancy deployment module, a power output path coordination module and an energy recovery and power compensation evaluation module. The energy state acquisition module sorts battery data to generate basic information; the peak supply-demand time sequence analysis module identifies deviation to generate offset information; the range-extended energy storage redundancy deployment module determines power proportion to generate deployment results; the power output path coordination module matches power-on paths to generate path results; the energy recovery and power compensation evaluation module plans feedback and power compensation; and the system generates comprehensive energy storage redundancy results. According to the application, the discharge state is continuously described, the power demand is correspondingly obtained, the available depth of energy storage is identified, and the driving track is compared, so that the supply-demand offset characteristics are clear, the energy intervention sequence and proportion are integrated to stabilize the power output relationship, the power-on path and the backflow direction are corrected, and the braking feedback and power compensation consistency are established. Therefore, the energy storage redundancy continuity and sustainability are ensured under high load and frequent energy exchange.

Description

TECHNICAL FIELD

[0001] The application relates to the field of power batteries and energy storage technology, and particularly relates to a high-efficiency intelligent power range-extended energy storage redundancy system. BACKGROUND

[0002] The field of power batteries and energy storage technology includes storage and deployment of electric energy in the use process of vehicles and energy flow conversion mode, and the core content includes the electrochemical energy storage unit composition of the power battery, the control structure of electric energy input and output, the deployment requirements of energy in multiple working conditions, and the energy redundancy maintenance mode, and the system covers the organization mode of the electric energy conversion path of the vehicle in the driving acceleration braking energy recovery process, the safety maintenance mechanism of the energy storage structure, and the coordination structure of electric energy between the range extender system and the driving system, the high-quality load problem caused by large electric quantity power batteries in the new energy range-extended heavy truck scene, the long charging time and limited range problem, the problem that effective energy recovery is difficult to realize under a small electric quantity structure, and the adaptation relationship between the power configuration of the range extender and the energy storage capacity, so as to form a complete power battery and energy storage system technology system.

[0003] Among them, the high-efficiency intelligent power range-extended energy storage redundancy system refers to setting a double energy storage structure system capable of performing energy supplement, energy transfer and energy redundancy maintenance in the structure of the new energy range-extended heavy truck, and for the technical matters such as large electric quantity consumption, long time energy supplement, short range and energy storage quality load of the range-extended heavy truck, the energy organization and redundancy composition of the system are completed by setting two 100-kilowatt-hour energy storage power batteries, configuring a 100-kilowatt range extender to form a medium electric quantity light range-extended combination, establishing an electric energy transfer path capable of realizing time sequence matching between high power output of the range extender and driving energy consumption, constructing an electric energy backflow structure convenient for performing energy recovery, and setting an electric energy regulation structure used for collecting energy state and determining energy direction.

[0004] In the prior art, the discharge state is often based on single-point measurement, and there is a lack of continuous identification of power change with time, so that in the scene of frequent switching of high and low loads, the real trend of the available depth of the battery cannot be presented, the supply-demand relationship often appears lagging recognition in the peak stage, and when the range extender output and the energy storage discharge participate in driving at the same time, the continuous arrangement of the output sequence and the proportion is often lacking, which often forms a short-time deviation and affects the stability of power sharing, and in the energy recovery process, the path is limited by fixed logic, and the instantaneous mismatch between the feedback current and the charging capacity is easy to occur, so that the energy storage unit bears uneven energy flow in long-time operation and causes efficiency fluctuation. SUMMARY

[0005] The purpose of the present application is to solve the shortcomings in the prior art, and a high-efficiency intelligent power range-extended energy storage redundancy system is provided.

[0006] In order to achieve the above object, the present application adopts the following technical scheme: A high-efficiency intelligent power extension energy storage redundancy system, the system comprises:

[0007] An energy state acquisition module acquires BattA and BattB voltage, current and SOC signals, extracts discharge segments in time sequence, corresponds the discharge segments with driving power demand and GCU power and SOC signals, judges the dischargeable state of BattA and BattB, distinguishes the dischargeable or limited interval, and generates energy storage redundancy basic information;

[0008] 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;

[0009] An extension energy storage redundancy deployment module acquires GCU power upper limit, BattA and BattB discharge capacity and VCU extension instruction 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;

[0010] 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.

[0011] As a further scheme of the present application, 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 magnitude, segment deviation sorting and time sequence deviation trend, the energy storage redundancy deployment result includes power bearing proportion, energy distribution composition and output structure framework, and the energy storage redundancy path result includes path channel structure, energy distribution form and power flow direction layout.

[0012] As a further scheme of the present application, the energy state acquisition module comprises an electric parameter sorting sub-module, a discharge interval identification sub-module and a discharge bearing capacity generation sub-module.

[0013] The electric parameter arrangement submodule arranges BattA voltage, BattA current, BattB voltage, BattB current and SOC signals in time sequence, corresponds driving power demand and GCU output power at the same time point, calls corresponding records, screens continuous time periods with negative current and marks as discharge segments, maps SOC signals to each discharge segment at time points, divides different change ranges on a time axis according to the mapped SOC change, and generates an SOC change interval;

[0014] The discharge interval identification submodule calls records of BattA voltage, BattA current, BattB voltage and BattB current at the same time point in each discharge segment, judges whether BattA and BattB are in a dischargeable state or a limited state according to a voltage lower threshold and a current upper threshold for each time point, performs corresponding processing of the driving power demand and the GCU output power at the same time point based on a state judgment result and each discharge segment, extracts a dischargeable interval proportion feature from a state distribution in each discharge segment, and generates a dischargeable proportion.

[0015] The discharge carrying capacity generation submodule performs corresponding processing of the driving power demand and the GCU output power in time sequence according to the dischargeable proportion, compares and records output performances at each time point for differences between BattA voltage, BattA current, BattB voltage, BattB current and driving demand in the dischargeable interval, continuously integrates quantitative performances of BattA and BattB that can be carried on a time axis, and generates energy storage redundancy basic information.

[0016] As a further scheme of the application, 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.

[0017] The power trajectory construction submodule arranges MotorA speed, MotorA torque, MotorB speed, MotorB torque and GCU output power in time sequence, combines MotorA speed and torque and MotorB speed and torque to form a driving power change trajectory based on the arranged records, performs corresponding processing of the driving power change trajectory and the GCU output power at a peak position, extracts a time range where the peak is located, and generates a peak time range.

[0018] The supply-demand deviation extraction submodule calls driving power and GCU output power records at a peak time point based on the peak time range, judges whether supply and demand are consistent and marks inconsistent segments for each time point in the peak range based on the two differences, calls corresponding inconsistent segments and discharge segment time divisions, extracts continuously arranged segments, and generates a supply-demand deviation sequence.

[0019] The deviation degree generating submodule generates the energy storage redundancy deviation information according to the supply-demand deviation sequence, calls the corresponding position and duration of the deviation segment on the time axis, judges the time continuity of adjacent segments, arranges the continuous connection segment group, forms the deviation performance record in time sequence, and generates the energy storage redundancy deviation information.

[0020] As a further scheme of the present application, the extended-range energy storage redundancy allocation module comprises a deviation calling submodule, an output arrangement submodule, and a distribution generating submodule.

[0021] 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 capacities on the same time axis based on the arrangement record, calls the corresponding record, judges the output sequence based on the power upper limit and the discharge capacity for each time segment, marks the sequence segment on the time axis, and generates the output sequence range.

[0022] The output arrangement 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 at the same time point based on the output sequence range, arranges the three outputs based on the power demand sequence, records the output combination of each segment, calls the combination record on the time axis, extracts the continuous combination interval according to the segment connection, and generates the output combination sequence.

[0023] The distribution generating submodule calls the continuous combination interval in time sequence according to the output combination sequence, judges the continuity of adjacent intervals, extracts the stable connection combination group, integrates the overall output distribution relationship in sequence arrangement, establishes the distribution relationship summary record, and generates the energy storage redundancy allocation result.

[0024] As a further scheme of the present application, the power output path cooperation module comprises a path screening submodule, a path marking submodule, and a stage integration submodule.

[0025] 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 BattA driving demand for MotorA, the BattB driving demand for MotorB, the GCU driving demand and the PDU pre-charging relay conduction state in time sequence, and 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 as the reference for each time point, and correspondingly processes the screened path and the output combination relationship at the same time point to generate the power-on path amplitude;

[0026] The path marking submodule correspondingly processes the output combination relationship in each discharge time segment based on the power-on path amplitude, and 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 record in time sequence, extracts the continuous marking group, and generates the path marking sequence according to the connection relationship of each discharge time segment.

[0027] The stage integration submodule correspondingly processes the continuous marking group according to the path marking sequence, judges the connection relationship of adjacent marking groups, integrates the path sequence of the driving stage, establishes the path coordination record under the arrangement of the stage sequence, and generates the energy storage redundancy path result by summarizing the path coordination performance between segments in time sequence.

[0028] As a further scheme of the application, 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 specifically:

[0029] When the PDU pre-charging relay conduction state meets the voltage establishment condition, the minimum allowable voltage of the BattA driving demand for MotorA, the BattB driving demand for MotorB and the GCU driving demand at the same time point is taken as the path determination basis, and the path corresponding to the time point with the bus voltage higher than the minimum allowable voltage is screened out by comparing the minimum allowable voltage with the bus voltage at each time point.

[0030] 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 specifically:

[0031] The power demand order of magnitude of the BattA driving demand for MotorA, the BattB driving demand for MotorB and the GCU driving demand is used as the matching order parameter in each discharge time segment, the corresponding relationship between the path allowing condition of the corresponding time point in the power-on path amplitude and the power demand order is compared, and each time point is marked and continuously integrated into a segment mark.

[0032] As a further scheme of the present application, the process of judging the sequential relationship of adjacent marking groups is specifically:

[0033] By comparing the time continuity of the BattA to MotorA driving demand, the BattB to MotorB driving demand and the GCU driving demand corresponding to the adjacent marking groups, when the change range of any driving demand in the adjacent marking groups is within the preset change threshold, the adjacent marking groups are merged into a unified time stage sequence;

[0034] The process of establishing a path coordination record under the arrangement of the stage sequence is specifically:

[0035] Taking the start time and end time of the continuous marking groups in the time sequence as the path boundary conditions, by corresponding comparison of the path allowed conditions of adjacent stages, a path channel arrangement relationship with continuity in time sequence is formed, and the path corresponding condition of each stage is recorded in the integrated path channel arrangement relationship.

[0036] As a further scheme of the present application, the system further comprises:

[0037] An energy recovery and power compensation evaluation module, according to the path coordination record in the energy storage redundancy path result, obtains the MotorA and MotorB braking feedback current and the bus voltage to form a recovery flow direction, obtains the BattA and BattB charging acceptance ability to form a compensation flow direction, corresponds and records the coordination behavior of the two to each discharge segment path coordination mark, and generates an energy storage redundancy comprehensive result;

[0038] The energy storage redundancy comprehensive result includes an energy recovery pattern, a power compensation bearing distribution, and a coordination performance system.

[0039] As a further scheme of the present application, 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.

[0040] The recovery flow direction construction submodule, according to the path coordination record in the energy storage redundancy path result, obtains the MotorA braking feedback current, the MotorB braking feedback current, and the bus voltage arranged in time sequence, corresponds the two currents and the bus voltage at the same time point to form a recovery flow direction, corresponds the recovery flow direction and the path coordination record according to the discharge segment, organizes the recovery performance, collects the segment record in the time sequence, and generates a recovery correlation range.

[0041] The compensation current is directed to the corresponding sub-module, based on the recycling associated amplitude, the charging acceptance capability of BattA and the charging acceptance capability of BattB are arranged in order of segment, for each segment, the compensation current direction and the path are recorded corresponding to the processing and the compensation segment is recorded, the segment connection relationship is arranged in time sequence to form a continuous compensation sequence, the compensation cooperation performance is obtained under the sequence, and the compensation cooperation amplitude is generated;

[0042] The cooperative behavior generation sub-module processes the compensation sequence and the recycling associated amplitude in the same segment according to the compensation cooperation amplitude, records the cooperative performance of the recycling flow direction and the compensation current direction for the corresponding segment in time sequence, and arranges the cooperative behavior record under the working condition sequence according to the adjacent segment connection, forms a cooperative sequence structure on the time axis, and generates a comprehensive result of energy storage redundancy.

[0043] Compared with the prior art, the advantages and positive effects of the present application are that:

[0044] In the present application, the battery discharge state is continuously described during the operation of the vehicle, and the power demand is correspondingly processed in the form of time segments, the available depth of the energy storage unit is identified through the voltage and current changes in the segment, the output space is compared with the driving power track in a serialized manner, the supply-demand deviation position and the change trend are clearly characterized under dynamic load, the intervention sequence and the bearing ratio of each energy unit are continuously integrated during the power rising or decaying stage, the output relationship is stably distributed in the fluctuating working condition, the braking feedback and the compensation behavior are consistent with the direction of electric energy during the driving stage through the corresponding correction of the power-up path and the energy return direction, and therefore the continuity and sustainability of the energy storage redundancy are maintained under the conditions of high load and frequent energy exchange. BRIEF DESCRIPTION OF DRAWINGS

[0045] Figure 1 The system flowchart of the present application is shown in the figure;

[0046] Figure 2 The acquisition flowchart of the energy storage redundancy basic information of the present application is shown in the figure;

[0047] Figure 3 The acquisition flowchart of the energy storage redundancy deviation information of the present application is shown in the figure;

[0048] Figure 4 The acquisition flowchart of the energy storage redundancy allocation result of the present application is shown in the figure;

[0049] Figure 5 The acquisition flowchart of the energy storage redundancy path result of the present application is shown in the figure;

[0050] Figure 6 The acquisition flowchart of the energy storage redundancy comprehensive result of the present application is shown in the figure. DETAILED DESCRIPTION

[0051] The technical solutions in the present application will be described below with reference to the drawings.

[0052] In the embodiments of the present application, the words such as "example", "for example" are used to represent an example, illustration or description. Any embodiment or design scheme described as "example" in the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the word "example" is intended to present the concept in a specific manner. In addition, in the embodiments of the present application, the meaning expressed by "and / or" can be both, or can be one of the two.

[0053] In order to make the technical problems, technical solutions and advantages of the present application clearer, specific embodiments will be described in detail below with reference to the drawings.

[0054] Please refer to Figure 1 The present application provides a technical solution: an efficient intelligent power range-extended energy storage redundant system, which comprises:

[0055] An energy state acquisition module acquires BattA voltage, BattA current, BattB voltage, BattB current and SOC signals of a new energy heavy truck high-voltage power battery management unit, arranges discharge segments of BattA and BattB in time sequence, corresponds the discharge segments, driving power demand and GCU output power item by item, corresponds the SOC signals and the discharge segments, judges the degree of distinction of BattA and BattB in each discharge segment in the dischargeable state, identifies that BattA and BattB in the discharge segment are in the dischargeable interval or the limited interval, forms a discharge feasibility record, and according to the time sequence, the discharge feasibility record and the demand difference information are summarized to form the quantitative performance of the amount of BattA and BattB that can be borne in each discharge segment, and generate energy storage redundant basic information;

[0056] A peak supply and demand time sequence analysis module acquires MotorA and MotorB speed and torque records of a new energy heavy truck electric drive control unit according to the time division of each discharge segment in the energy storage redundant basic information, constructs the actual driving power change trajectory of the whole vehicle, corresponds the driving power change trajectory and the GCU output power change trajectory in the time segment where the peak value appears, identifies and marks the time segment where the supply and demand are inconsistent when the peak value appears, records the duration and appearance position of the time segment where the supply and demand are inconsistent in time sequence, corresponds the time segment where the supply and demand are inconsistent and the discharge segment time division, arranges the supply and demand deviation items, identifies the supply and demand deviation items arranged in succession in time as continuous items, and takes the connection mode and appearance in time sequence of the continuous items as the presentation mode of the deviation performance, forms the supply and demand deviation degree expression, and generates energy storage redundant deviation information;

[0057] The energy storage redundancy deployment module obtains the GCU output power upper limit of the new energy heavy truck range extender control unit, the BattA discharge capacity, the BattB discharge capacity, and the VCU range extender torque instruction of the vehicle control unit according to the deviation degree of each discharge segment in the energy storage redundancy offset information and the corresponding time segment, and serializes and arranges them on the same time axis. The energy storage redundancy deployment module judges the sequence of the GCU and the BattA and the BattB in terms of the output, and sorts the output proportion of the GCU and the BattA and the BattB in each discharge segment time interval into an output combination record according to the sequence. The energy storage redundancy deployment module arranges the continuous combination record to form a stable output distribution relationship, and generates an energy storage redundancy deployment result.

[0058] The power output path coordination module obtains the driving demand of the BattA on the MotorA, the driving demand of the BattB on the MotorB, the driving demand of the GCU, and the PDU pre-charging relay conduction state according to the output combination relationship of each discharge segment time interval in the energy storage redundancy deployment result. According to the conduction state of the PDU pre-charging relay, the power-up path that allows the BattA, the BattB, or the GCU to establish current output is filtered out. The power-up path is matched and marked in the corresponding output combination relationship in each discharge time segment. The power-up path matching mark of each discharge time segment is integrated according to the driving stage to form a path coordination record, and an energy storage redundancy path result is generated.

[0059] The energy recovery and power compensation evaluation module obtains the MotorA and MotorB braking feedback current and bus voltage record and forms a recovery flow direction according to the path coordination record in the energy storage redundancy path result. The BattA and BattB charging acceptance capacity are obtained and a power compensation flow direction is formed. In each discharge segment time interval, the recovery flow direction and the path coordination mark are corresponded item by item, and the power compensation flow direction and the path coordination mark in the same time interval are corresponded item by item. The coordination performance of the recovery flow direction and the power compensation flow direction in each discharge segment time interval is recorded, and the coordination behavior record is sorted according to the working condition sequence to generate an energy storage redundancy comprehensive result.

[0060] The energy storage redundancy basic information includes battery capacity interval, discharge bearing range, and energy release potential. The energy storage redundancy offset information includes supply-demand difference level, segment offset order, and time sequence deviation trend. The energy storage redundancy deployment result includes power bearing proportion, energy distribution composition, and output structure framework. The energy storage redundancy path result includes path channel structure, energy supply distribution form, and power flow direction layout. The energy storage redundancy comprehensive result includes energy recovery pattern, power compensation bearing distribution, and coordination performance system.

[0061] Please refer to Figure 2 The energy state acquisition module includes an electrical parameter arrangement submodule, a discharge interval identification submodule, and a discharge bearing capacity generation submodule.

[0062] The electric parameter arrangement sub-module arranges the BattA voltage, BattA current, BattB voltage, BattB current and SOC signal in time sequence, corresponds the driving power demand and the GCU output power at the same time point, calls the corresponding record, filters the continuous time interval with negative current as the discharge segment, maps the SOC signal to each discharge segment according to the time point, divides different change ranges on the time axis according to the mapped SOC change, and generates the SOC change interval;

[0063] The BattA voltage, BattA current, BattB voltage, BattB current and SOC signal of the new energy heavy truck high-voltage power battery management unit are arranged in time sequence, the battery end analog quantity is collected by using a high-precision Hall current sensor and a voltage isolation sampling module under the driving data of the full-load climbing working condition of the heavy truck, and is uploaded through the high-speed CAN bus interface in the battery management system (BMS) at a frequency of 10Hz, a time axis sequence is established, and the corresponding BattA voltage value , current value , BattB voltage value , current value and state of charge corrected by ampere-hour integration method and open circuit voltage method and are extracted at each moment on the time axis , the driving power demand sequence and the output power sequence of the range extender generator control unit are traversed through the vehicle CAN network , the net demand power is calculated by performing subtraction operation at each sampling moment , the current scanning program is started, the current discharge judgment threshold is set to -5A to filter sensor zero drift and noise oscillation, if the value and are less than -5A at the same time and the continuous time interval is more than the set time window threshold of 10 seconds, the start moment and the end moment of the continuous time interval are locked, the interval is marked as an effective discharge segment, all SOC values in the segment are extracted, and the SOC change rate in the segment is calculated , the SOC state division reference value is set to the high energy threshold of 80% and the low energy threshold of 30%, if the average SOC value in the segment is greater than 80%, it is classified as a high energy zone, between 30% and 80% is classified as a platform zone, and lower than 30% is classified as a depleted zone, for actual examples, when the vehicle is in , the system monitors that the bus voltage is stable at about 650V, is maintained between -150A and -160A, For 280kW For 80kW, at this time the total output current of the double battery is about 308A (corresponding to a power of about 200kW matching the net demand), the SOC decreases from 65% to 62%, the program packages the data packet of this 50-second duration as a whole and marks the index, maps the decrease value of the SOC per second to the time index, and according to the numerical range of 62%-65% where the SOC is located, it is delimited in the platform area variation range, and the SOC variation interval is generated.

[0064] The discharge interval identification submodule calls the same time point records of BattA voltage, BattA current, BattB voltage, and BattB current in each discharge segment based on the SOC variation interval, and 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 for each time point. Based on the state judgment result and the driving power demand and GCU output power corresponding to each discharge segment at the same time point, the dischargeable interval proportion feature is extracted from the state distribution in each discharge segment, and the dischargeable proportion is generated.

[0065] Based on the SOC variation interval, the same time point records of BattA voltage, BattA current, BattB voltage, and BattB current in each discharge segment are called, and the voltage lower threshold is set according to the battery monomer specification book The setting principle is that the monomer discharge cutoff voltage 2.5V multiplied by the number of series monomers 180 is 450V, and the current upper threshold is set The setting principle is that the maximum allowed continuous discharge rate of the battery 1.5C multiplied by the rated capacity 280Ah is 420A, and the voltage and the current absolute value of each time point in the discharge segment are traversed , a logical comparison operation is performed, if and , it is determined that the battery is in a "dischargeable state" at this time, if any parameter breaks through the threshold (i.e. the voltage is too low or the current is too large), it is determined as "limited state", and an exception counter is triggered, the total sampling point number in the discharge segment is counted , the sampling point number in the "dischargeable state" is accumulated , the state flag (0 or 1) of each time point is indexed and corresponding to the driving power demand and the GCU output power at this time, for example, in a certain 20-second discharge segment, there are 200 sampling points, of which 180 sampling points have a voltage of 520V and a current of 200A, which meet the conditions, and only the last 20 points trigger the limited judgment because the voltage drops to 448V. Calculate the ratio 0.9 is obtained, and the value 0.9 is taken as a health quantification index of the discharge segment under the current working condition, and the time distribution position of the limited state is recorded, if the limited state is concentrated at the end of the segment, it indicates that the battery is insufficient at the end of the deep discharge period, if the limited state is scattered, it indicates that the instantaneous power demand is too large, and the state determination results (1 for dischargeable, 0 for limited) of all time points are compiled into a sequence to generate a dischargeable proportion.

[0066] The discharge carrying capacity generation submodule calls the driving power demand of each discharge segment and the GCU output power for corresponding processing in time sequence according to the dischargeable proportion, compares the differences between BattA voltage, BattA current, BattB voltage, BattB current and driving demand in the dischargeable interval, and records the output performance at each time point, and continuously integrates on the time axis to form the quantitative performance of BattA and BattB that can bear the output, and generates energy storage redundancy basic information;

[0067] According to the dischargeable proportion, the driving power demand of each discharge segment and the GCU output power are processed in time sequence, the time point set marked as "dischargeable state" is extracted, and for each time in the set , the sum of the actual power borne by BattA and BattB is calculated:

[0068] (the result is converted to kW), and the theoretical power to be borne is calculated;

[0069] The difference is calculated , if is less than the set tolerance 1kW, it is determined that the output at this moment meets the demand, if is negative and exceeds 1kW, the power gap value at this moment is recorded, for the time points marked as "limited state", the specific value of the voltage or current exceeding the threshold and the difference between the threshold are directly recorded, for example, the voltage of 448V at a certain moment is lower than the threshold 450V, and the voltage difference of-2V is recorded, the at all "dischargeable state" time points is integrated or discretely accumulated on the time axis, and the formula is:

[0070] ;

[0071] Wherein is the sampling interval 0.1s, and the coefficient 1 / 3600 is used to convert kW·s to kWh, so as to obtain the total energy value actually released by the battery pack in the discharge segment, assuming that in a 30-second climbing process, the battery pack accumulates output energy 2.5kWh in the dischargeable interval, and the output power at each moment is equal to If matched, the power curve within 30 seconds is packaged with the energy value as a quantitative basis for evaluating the carrying capacity of the battery pack under the current working condition. The power response capability at each time, whether there is an overrun behavior, and the cumulative output energy are integrated into structured data entries to generate energy storage redundancy basic information.

[0072] Please refer to Figure 3 , the peak supply and demand timing analysis module includes a power trajectory construction submodule, a supply and demand deviation extraction submodule, and a deviation degree generation submodule.

[0073] The power trajectory construction submodule obtains the discharge segment time division in the energy storage redundancy basic information, obtains the MotorA speed, MotorA torque, MotorB speed, MotorB torque, and GCU output power arranged in time sequence, forms a driving power change trajectory based on the arrangement record combination of MotorA and MotorB speed and torque, calls the driving power change trajectory and GCU output power for corresponding processing at the peak position, and extracts the time range where the peak value is located to generate a peak time range.

[0074] The discharge segment time division in the energy storage redundancy basic information is obtained, the MotorA speed, MotorA torque, MotorB speed, MotorB torque, and GCU output power are arranged in time sequence, the data sampling period is set to 100 ms according to the operating characteristics of the heavy truck dual-motor drive system, the real-time speed is collected by the rotary transformer or optical encoder installed on the motor shaft end, the real-time electromagnetic torque is obtained by the current vector calculation of the motor controller (MCU) inside, and each sampling time , the real-time speed (unit: rpm) and real-time torque (unit: N·m) of MotorA are extracted, the real-time speed and real-time torque of MotorB are extracted, the instantaneous mechanical power output of the two motors is calculated according to the motor power calculation formula , i.e. and , the calculation results of the two are superimposed to construct the actual driving power change trajectory of the vehicle, and the electric power output value of the range extender control unit (GCU) at the same time is read , the sequence and the sequence are aligned on the same time axis, the peak search logic is started, the peak determination power threshold is set to 80% of the rated driving power of the vehicle, i.e. 320 kW, the trajectory is scanned, and all local maximum points greater than 320 kW are identified as peak center points , for each , search in both directions of the time axis until the value decays to 70% of the peak value, thus determining the starting time of the peak event and the ending time , for example, in a certain climbing and sudden acceleration process, MotorA outputs 1800 N·m and the speed is 1500 rpm, MotorB outputs 1800 N·m and the speed is 1500 rpm, the single motor power is calculated to be about 282.7 kW, and the total power is 565.4 kW, which exceeds the threshold, so the system locks the 8-second time interval of the high-power continuous output, and takes this interval as the key analysis object to generate the peak time range.

[0075] The supply and demand deviation extraction submodule is based on the peak time range, calls the driving power and GCU output power records at the peak time points, and judges whether the supply and demand are consistent based on the two differences at each time point in the peak range and marks the inconsistent segments, calls the inconsistent segments and the discharge segment time division for correspondence, extracts the continuously arranged segments, and generates the supply and demand deviation sequence;

[0076] Based on the peak time range, the driving power and GCU output power records at the peak time points are called, and the algebraic difference between the driving power demand and the range extender supply power is calculated point by point in each peak time interval determined above The supply and demand consistency judgment dead zone threshold is set to 5 kW, and if the calculated difference absolute value , it is determined that the supply and demand are basically balanced, and if , it is determined that there is a supply and demand deviation, and the time point is marked as “inconsistent point”, and further checking ​​​, if positive and greater than 5kW, marked as "demand overflow type deviation", if negative and less than -5kW, marked as "supply redundancy type deviation", if the inconsistent points are scattered in time axis and the single duration is less than 200ms, it is considered as transient noise and removed, only the steady-state deviation segment is retained, the time coordinates of all inconsistent points marked as "inconsistent points" and passing the steady-state check are extracted, and the "discharge segment time division" generated by the previous module is intersected to filter out the time segments that are both in the peak supply-demand deviation state and in the battery discharge state, for example, at the above-mentioned 565.4kW peak moment, the GCU only outputs 120kW, resulting in a huge power gap of 445.4kW (demand overflow), and at this time the battery is in the discharge interval, the time and the time before and after the continuous time that meets the condition are connected in series, and finally the time period when the battery must intervene to fill the huge power gap under the peak high pressure is extracted to generate the supply-demand deviation sequence.

[0077] The deviation degree generation submodule processes the occurrence position and duration of the deviation segment on the time axis according to the supply-demand deviation sequence, judges the time continuity of adjacent segments and arranges the continuous segment group, forms the deviation performance record in time sequence, and generates the energy storage redundancy deviation information;

[0078] According to the supply-demand deviation sequence, the occurrence position and duration of the deviation segment are processed on the time axis, all extracted supply-demand deviation sequence segments are traversed, the start time , end time and average power deviation value in the segment are obtained , the time proximity threshold is set to 3 seconds, the continuity of adjacent deviation segments arranged in time sequence is judged, if the difference between the end time of the previous segment and the start time of the next segment is less than 3 seconds, it is determined that the two segments belong to the same "continuous supply-demand pressure event", and are merged in the same group record, and the "intermittent period" feature between them is recorded, and for each merged continuous segment group, the cumulative energy gap is calculated:

[0079] (unit: kWh);

[0080] The deviation degree is quantified, assuming that the system identifies two adjacent deviation segments, the first one lasts for 5 seconds with an average gap of 200kW, and the second one lasts for 4 seconds with an average gap of 180kW, the system merges them into a composite event lasting 11 seconds (including the interval), and calculates the total energy gap of about 0.477kWh ( ), the distribution position (such as "initial stage of climbing" and "final stage of acceleration") of such a composite event on a time axis, the duration and the energy gap size are structured and coded to form a time sequence record reflecting the dependence of the whole vehicle on the energy storage system under extreme working conditions, and the energy storage redundancy deviation information is generated.

[0081] Please refer to Figure 4 , the extended energy storage redundancy deployment module includes a deviation calling sub-module, an output correction sub-module and a distribution generating sub-module.

[0082] The deviation calling sub-module 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 capacities on the same time axis based on the arrangement record, calls the corresponding record, judges the output sequence and marks the sequence segment on the time axis based on the power upper limit and the discharge capacity for each time segment, and generates the output sequence range.

[0083] The deviation calling sub-module 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, sets a sampling sequence of 10ms for each time step, calls the intelligent management algorithm built in the vehicle controller (VCU), which dynamically calculates the extended range torque instruction according to the vehicle driving state (vehicle speed and slope) and the driver's intention , and can optimize the distribution strategy of multiple energy sources in real time combined with the current motor speed converts the total driving power demand , reads the real-time maximum allowable power reported by the extended range controller and the real-time peak discharge power limit of BattA and BattB reported by the battery management system and , compares the power demand and supply capacity at each time point, if , it is determined that the extended range device covers independently, the GCU is marked as the first priority output source, if , the power gap is calculated , at this time, the discharge capacity of BattA and BattB needs to be called for supplement, according to the power balance strategy of the double battery system, the current state of charge of BattA and BattB is read , the SOC difference balance threshold is set to 5%, if and , then determine BattA as the second priority output source and BattB as the third priority, if higher, and if the difference between the two SOCs is within 5%, then further compare the numerical value of , and the one with higher capability has priority;

[0084] Suppose at a certain moment of climbing, , and there is a 100kW gap, at this time and , the system determines the output order as GCU first, BattA second, and BattB last, writes the order identification code (for example, coded as 1-2-3) of "GCU->BattA->BattB" into the state register of this time stamp, and continuously scans the subsequent time window until the priority logic flips due to sudden changes in power demand or supply capability, concatenates the continuous moments with the same output order identification on the time axis, and marks them as output order segments with a certain priority to generate the output order amplitude.

[0085] The output adjustment submodule, based on the output order amplitude, calls the GCU output power upper limit, BattA discharge capacity, BattB discharge capacity, and VCU range torque instruction corresponding to the same time point within each discharge segment, arranges the three outputs according to the power demand sequence, records the output combination of each segment, extracts the continuous combination interval according to the segment connection record, and generates the output combination sequence;

[0086] Based on the output order amplitude, call the GCU output power upper limit, BattA discharge capacity, BattB discharge capacity, and VCU range torque instruction corresponding to the same time point within each discharge segment, traverse each output order segment generated above, and for each discrete time point in the segment, perform specific power allocation calculation according to the determined priority order, allocate the output value of the first priority GCU:

[0087] , calculate the remaining demand:

[0088] , if , then allocate the output value of the second priority (assuming BattA) , and calculate the remaining demand again , if there is still a surplus, then allocate the output value of the third priority (assuming BattB) , and finally form the power allocation vector at this moment For example, in the 3-second interval of heavy truck full load acceleration, the demand jumps from 300 kW to 450 kW, the GCU continuously outputs 200 kW upper limit, BattA as the second priority outputs power from 100 kW to its upper limit 150 kW as the demand increases, and BattB as the third priority intervenes in the last 1 second to output 0 kW to 100 kW. The system records the specific power value changes of the three power sources in these 3 seconds, then extracts the features of the allocation results, defines the power allocation ratio features, and if the output state of each power source remains consistent (for example, all in the state of "GCU full load + BattA full load + BattB adjustment") for 50 consecutive sampling points (0.5 seconds), it will be packaged as a "output combination record" for 0.5 seconds. The record content includes the average power, peak power and proportion of each source. All allocation vectors at different time points are classified and merged according to the stability of the state, forming a series of combination intervals connected at the beginning and end on the time axis, and generating the output combination sequence.

[0089] The distribution generation submodule calls the corresponding processing of the continuous combination interval in the time sequence according to the output combination sequence, judges the adjacent interval continuous relationship, extracts the stable connection combination group, integrates it into the overall output distribution relationship in the sequence arrangement, establishes the distribution relationship summary record, and generates the energy storage redundancy deployment result.

[0090] According to the output combination sequence, the continuous combination interval is called in the time sequence corresponding processing, the continuity analysis of adjacent intervals is carried out on the output combination sequence arranged on the time axis, the steady-state filtering time window threshold is set to 200ms, it is checked whether there is a short combination interval with a duration lower than 200ms in the sequence, for example, between the two long time intervals of "GCU dominant" and "GCU+BattA joint", there is a 50ms duration "GCU+BattA+BattB" transient interval, which may be a non-real demand caused by signal noise or PID control overshoot, the transient interval will be smoothed according to the characteristics of the previous and subsequent intervals, and will be merged into the dominant interval of the previous or subsequent sequence to eliminate the jitter in the control strategy, if the logic of adjacent intervals is completely conflicting (such as from full power to zero output), it is marked as logic abnormality and the original data is reserved for subsequent fault diagnosis, after filtering, for the remaining stable combination interval, the distribution logic in the working condition cycle is analyzed, the macro distribution characteristics such as "starting stage-dual electric priority", "cruise stage-range increasing dominant" and "climbing stage-full power output" are identified, the starting time, termination time, time length and corresponding GCU, BattA, BattB power distribution core logic (such as fixed ratio, peak clipping, master-slave control, etc.) of each stable interval are structured and packaged, and a mapping table of energy source deployment of the whole vehicle under different driving conditions is established, assuming that a long climbing working condition of 120 seconds is identified, the system locks it as a whole distribution unit, which records the detailed cooperation relationship of GCU constant 200kW, BattA and BattB alternately bearing the remaining 50kW fluctuation, and generates the energy storage redundancy deployment result.

[0091] Please refer to Figure 5 , the power output path cooperation module includes a path screening sub-module, a path marking sub-module and a stage integration sub-module.

[0092] The path screening sub-module obtains the output combination relationship corresponding to each discharge segment time interval in the energy storage redundancy deployment result, obtains the BattA demand for MotorA driving, the BattB demand for MotorB driving, the GCU driving demand and the PDU pre-charge relay conduction state arranged in time sequence, and based on the arrangement record, the paths allowed to be established by BattA, BattB or GCU to output current are screened out for each time point based on the PDU pre-charge relay conduction state, and the screened paths are processed at the same time point, and the power-on path width is generated.

[0093] Obtain the output combination relationship corresponding to each discharge segment time interval in the energy storage redundancy allocation result, obtain the BattA to MotorA driving demand, the BattB to MotorB driving demand, the GCU driving demand and the PDU pre-charge relay conduction state in time sequence, for the multi-source collaborative scene in the high-voltage power-on and driving process of the heavy truck, set the frequency of PDU (power distribution unit) state sampling to 50Hz, traverse each time sampling point , read the real-time switch auxiliary contact state (1 for closing and 0 for opening) of the main positive relay , the main negative relay and the pre-charge relay on the BattA side through a hard-wire or a CAN signal, read the state signals of the corresponding relays , , on the BattB side and the contactor state of the GCU access point, set the physical criterion of path conduction according to the high-voltage interlocking logic, and only when and are met at the same time, it is determined that the main power supply path of the corresponding circuit is in the “physical conduction” state, if only and are met, it is determined that the “pre-charge path conduction” state, and the theoretical source distribution instruction about the moment in the output combination relationship generated by the VCU intelligent algorithm in the previous module is obtained, the theoretical instruction and the physical relay state are subjected to Boolean logic verification, and the verification range covers the BattA driving MotorA only, the BattB driving MotorB only, the BattA+BattB driving MotorA or MotorB, the BattA+BattB driving MotorA+MotorB and the like in the pure electric mode, and all the topology structures in the range extension mode are traversed, including the GCU driving MotorA or MotorB, the GCU driving MotorA+MotorB, the GCU+BattA driving MotorA or MotorB, the GCU+BattA driving MotorA+MotorB, the GCU+BattB driving MotorA or MotorB, the GCU+BattB driving MotorA+MotorB, the GCU+BattA+BattB driving MotorA / MotorB, and the GCU+BattA+BattB driving MotorA+MotorB, if the theoretical instruction requires the BattA output current, check the BattA main power supply path state, if , mark the BattA path as “effective execution path”;

[0094] if , then mark as "path blocking fault", similarly check the path between BattB and GCU, for pre-charge phase, if the pre-charge relay is detected to be closed and the bus voltage collected by high-voltage sampling board is Rises to battery terminal voltage within the set time window 200 ms 95% or above, that is , then determine that the pre-charge path is successfully established, allowing the subsequent main relay to be closed, assuming that at the starting moment of a certain , the output combination requires BattA to drive MotorA alone, the system detects that is closed for 0.5 s and then opened, and is immediately closed, and the BattB side relay is completely opened, the system sets the path state code at this moment as [1, 0, 0] (corresponding to BattA, BattB, GCU), and associates and binds this state code with the driving current demand of MotorA , filters out invalid time points caused by relay jitter or faults that do not establish a physical path but exist in theory, and retains all valid time segments that match the physical path and logical demand, generating the power-on path amplitude.

[0095] The path marking submodule, based on the power-on path amplitude, calls the output combination relationship in each discharge time segment to perform corresponding processing on the time axis, and based on the matching of the power-on path and the combination relationship for each time segment, marks the power-on path record of each discharge time segment. In time sequence, the marked records are judged according to the connection relationship of each discharge time segment, and continuous marking groups are extracted to generate a path marking sequence;

[0096] Based on the power-on path amplitude, call the output combination relationship in each discharge time segment to perform corresponding processing on the time axis, traverse each valid discharge time segment determined in the previous step , scan the power-on path state code sequence point by point in this time window, set the path consistency judgment logic, if the path state code remains constant (for example, continuously [1, 1, 1] full source parallel state) in continuous sampling points (set , that is, 1 second), then mark this 1 second interval as a stable "path-combination matching unit", if the state code jumps in the middle of the segment, for example, from [1, 1, 0] to [1, 0, 0] (meaning that BattB suddenly powers off), record the exact time when the jump occurs , and calculate the duration before and after the jump, set the minimum effective path retention time threshold according to the characteristics of heavy truck driving conditions , if the duration of a certain path state is less than 0.5s, it is determined as "transient disturbance" and is removed, only the steady-state path record is retained, and for each retained steady-state path unit, the matching degree with the actual torque response of MotorA and MotorB in the same time period is calculated, and the formula is , wherein is the number of sampling points, is a Boolean value (1 when the path is on and there is current output, otherwise 0), if is equal to 1, mark this unit as "complete coordination", if less than 1, mark as "partially restricted", assuming in a 30s uphill discharge segment, the first 20s is GCU+BattA+BattB full conduction (marked as ), the last 10s is GCU+BattA conduction (marked as ) due to the high temperature of BattB triggering the relay to disconnect, the system will generate a sequence record of "GCU+BattA+BattB (20s)-> (10s)" on the time axis, and bind the record with the original discharge segment ID for unique indexing to form a path marker sequence.

[0097] The stage integration sub-module, according to the path marker sequence, calls the continuous marker group for corresponding processing in the time sequence, judges the connection relationship of adjacent marker groups, integrates the path sequence into the driving stage, establishes the path coordination record under the arrangement of the stage sequence, summarizes the path coordination performance between segments in time sequence, and generates the energy storage redundancy path result;

[0098] According to the path marker sequence, the continuous marker group is called for corresponding processing in the time sequence, the connection relationship of all marked path units on the time axis is analyzed, four basic driving stage models of "start-up acceleration", "constant speed cruising", "high speed overtaking" and "braking recovery" are defined according to the power flow characteristics of new energy heavy truck typical driving conditions, the state transition probability and time interval between adjacent marker groups are calculated by traversing the continuous marker groups, and the time tolerance threshold of stage merging is set , if the time interval between two path marker groups of the same type (such as GCU independent drive) is less than 2s (for example, due to short-term interruption of gear shifting), the merging operation is performed, and it is integrated into the same driving stage, for the nodes of different path type switching, such as switching from double battery power supply in "start-up acceleration" stage to GCU independent power supply in "constant speed cruising" stage, the power transfer smoothness in the switching process is recorded, and the formula is , if the power change rate exceeds the set threshold 50 kW / s, it is recorded as "abrupt switching", otherwise it is recorded as "smooth switching", and finally the whole driving process is divided into several coordinated intervals with clear path characteristics, such as "0-15s: dual motor parallel start (coordination degree 100%) ", "15-120s: range extender main supply + BattA peak shaving (coordination degree 98%) ", and the actual online current integration of each power source and the action times of the pre-charging relay in each stage are recorded to form a detailed record reflecting the cooperation effect of the physical action and logical demand of the vehicle energy management execution layer, and the energy storage redundancy path result is generated.

[0099] Please refer to Figure 6 , the energy recovery and power compensation evaluation module includes a recovery flow direction construction submodule, a power compensation flow direction correspondence submodule, and a cooperative behavior generation submodule.

[0100] The recovery flow direction construction submodule obtains the MotorA braking feedback current, the MotorB braking feedback current, and the 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 the recovery association range.

[0101] According to the path coordination record in the energy storage redundancy path result, the MotorA braking feedback current, the MotorB braking feedback current, and the bus voltage are arranged in time sequence, and for the energy recovery process of the new energy heavy truck under the downhill or braking working condition, the period of data acquisition and processing is set to 20 ms, and each sampling time , the MotorA real-time feedback current (defined as negative value for the current out of the motor), the MotorB feedback current , and the high-voltage bus voltage are read by the motor controller (MCU) through the current sensor, the path coordination record generated by the previous module is called at the same time, the physical conduction state marks of the BattA and BattB main circuit relays at this moment are extracted and (1 for conduction and 0 for disconnection), and the total recoverable power of the whole vehicle is calculated:

[0102] (unit: kW), the effective recovery judgment threshold is set to 5 kW, if , it is judged that the current is in the effective recovery state, the current flow direction is logically divided according to the path state mark, if and , determine the flow direction to BattA, if both are 1, determine the flow direction to split to the dual battery system, if both are 0, determine the energy flow to the brake resistor or dissipation, if there is a feedback current but the path is completely disconnected, it is marked as "energy waste event", for each valid recovery state time point, record its flow attribute (such as "dual source-dual storage", "single source-single storage"), specifically identify the physical distribution path of MotorA feedback to BattA, MotorB feedback to BattB, and dual motor feedback to any or dual battery pack, and detect the continuity of the flow attribute on the time axis, if the same flow attribute duration exceeds 200ms, it will be locked as an independent recovery flow segment, and the starting time, ending time, average bus voltage and cumulative feedback energy of the segment are recorded (unit: kWh), assuming that in a braking process lasting 15 seconds, MotorA and MotorB both generate feedback current for the first 10 seconds and the BattA and BattB paths are both on, and for the last 5 seconds, only MotorA feedback and the BattB path is disconnected due to reduced vehicle speed, the system will divide the 15 seconds into two independent flow segments, and record the corresponding current source and voltage condition respectively, all the sorted time segments with flow labels are stored in queue according to the occurrence order, and the recovery correlation range is generated.

[0103] The power supply current direction corresponding submodule, based on the recovery correlation range, calls the BattA charging acceptance capability and the BattB charging acceptance capability in the order of the segments, for each segment, the power supply current direction and the path are recorded and processed in correspondence with the charging acceptance capability, and the power supply segment is recorded, the segment connection relationship is sorted in time sequence to form a continuous power supply sequence, and the power supply cooperation performance is obtained under the sequence, and the power supply cooperation range is generated;

[0104] Based on the recovery correlation range, call the BattA charging acceptance capability and the BattB charging acceptance capability in the order of the segments, according to the pulse charging characteristic MAP graph in the internal memory of the battery management system (BMS), take the current battery temperature and state of charge as index variables, respectively, to obtain the maximum continuous feedback charging current limit value allowed by BattA and BattB at the current time and , traverse the recovery flow segments generated in the previous step, for each sampling point in the segment, the theoretical feedback current sum and the total acceptance capability of the battery system;

[0105] numerical comparison is performed;

[0106] Calculate the feedback current acceptance index , if , mark this moment as "full compensation state", meaning that the feedback energy is fully absorbed, if , mark as "limited compensation state", calculate the overflow current value , read the actual battery side sampling of the warehouse current and check, if the sum of the actual warehouse current and deviation within 5% and in full compensation state, confirm that the compensation path is smooth and effective, extract the time interval of continuous compensation state (full or limited) to establish the compensation segment record, for example, under certain low temperature working condition, the battery acceptance capacity is only 50A, while the motor feedback current reaches 100A, the system recognizes that although there is compensation behavior in this period, it is in "limited compensation state", records the actual compensation of the period and the theoretical amount of the amount lost due to capacity limitation, encodes the compensation state, limitation factors (such as low temperature, high SOC, path disconnection) of each segment, and generates the compensation coordination amplitude in series according to the time sequence.

[0107] The coordination behavior generation submodule calls the compensation sequence and the recovery associated amplitude in the same segment according to the compensation coordination amplitude, processes it, records the coordination performance of the recovery flow direction and the compensation flow direction according to the time sequence of the corresponding segment, and sorts it into the coordination behavior record under the working condition sequence according to the adjacent segment connection, forms the coordination sequence structure on the time axis, and generates the energy storage redundancy comprehensive result;

[0108] According to the compensation coordination amplitude, call the compensation sequence and the recovery associated amplitude in the same segment according to the compensation coordination amplitude, process it, align the data records of the recovery associated amplitude (supply side) and the compensation coordination amplitude (demand side) in the unified time axis coordinate system, and for each corresponding discharge / recovery time segment;

[0109] Calculate the energy recovery utilization rate , wherein is the actual warehouse energy recorded in the compensation sequence, is the motor end generated energy recorded in the recovery associated amplitude, set the coordination level evaluation standard, if , it is determined as "excellent coordination", if , it is determined as "general coordination", if , it is determined as "inefficient coordination", and the causes of inefficient coordination segment are analyzed in depth, and the path state and battery acceptance capacity in the same period are compared, if low due to path disconnection, mark as "path blockage type loss", if Too small, marked as "capacity bottleneck loss", will be the entire working period of all segments in time series, form a "produce-transmit-absorb" link characteristics of the behavior sequence, for example, to identify a long downhill process, the front section due to low temperature of the battery utilization is only 30% (capacity bottleneck), the middle section of the battery heating utilization is improved to 98% (good synergy), the back section due to the SOC reaches the full threshold, the path is cut off and the utilization is reduced to 0% (path blocking), the series of changing synergy behavior characteristics are structured and archived as the final basis for evaluating the energy efficiency and control strategy matching degree of the vehicle energy storage redundancy system under dynamic working conditions, a variety of energy modules are combined to achieve efficient energy utilization, and the energy recovery timing difference is fully utilized in the energy recovery path to keep the energy recovery in the high efficiency interval, reduce the use frequency of brake pads, reduce the cost, and generate energy storage redundancy comprehensive results.

[0110] BattA and BattB in the above are independently set high-voltage power battery systems (Battery Pack), which are usually composed of a plurality of lithium ion battery monomers (such as lithium iron phosphate or ternary lithium) through series and parallel combination, and each internally integrated with an independent battery management system (BMS) for real-time acquisition of voltage, current, temperature and calculation of SOC, with independent high-voltage interface and charge-discharge control capability, which is a mature technical means in the prior art for providing driving energy and recovering braking energy in a new energy heavy truck energy storage system.

[0111] MotorA and MotorB in the above are high-power vehicle traction motors, which usually adopt permanent magnet synchronous motor (PMSM) or alternating current asynchronous induction motor, each equipped with an independent motor controller (MCU) for receiving torque instructions and converting direct current into alternating current to drive the motor to run, respectively driving different axles or wheels of the vehicle through transmission shaft or wheel edge reduction mechanism, supporting driving and braking feedback two working modes, which is a mature technical means in the prior art.

[0112] GCU is a range extender control unit (Generator Control Unit), which is a core controller of the range extender system, used for cooperative control of the running state of the internal combustion engine (Engine) and the generator (Generator), responsible for responding to the power request of the vehicle controller, adjusting the engine speed and generator torque to output stable high-voltage direct current, realizing the conversion of fossil fuel to electric energy, which is a mature technical means in the prior art.

[0113] The VCU intelligent algorithm in the above is burned in the vehicle controller (Vehicle 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.

[0114] 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.

[0115] 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 extender energy storage redundancy system, characterized in that, The system includes: 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 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. 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.

2. The high-efficiency intelligent power range extender energy storage redundancy system according to claim 1, characterized in that: 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 sorting, 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.

3. The high-efficiency intelligent power range extender energy storage redundancy system according to claim 1, characterized in that: 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.

4. The high-efficiency intelligent power range extender energy storage redundancy system according to claim 1, characterized in that: The extended range 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.

5. The high-efficiency intelligent power range extender energy storage redundancy system according to claim 1, characterized in that: The power output path coordination module includes a path screening submodule, a path marking submodule, and a stage integration submodule; 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.

6. The high-efficiency intelligent power range extender energy storage redundancy system according to claim 5, characterized in that: The process of filtering out paths that allow BattA, BattB, or GCU to establish current output based on the PDU precharge relay conduction state is 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.

7. The high-efficiency intelligent power range extender energy storage redundancy system according to claim 5, characterized in that: The process of determining the succession relationship of adjacent marker groups is as follows: 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 collaborative 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.

8. The high-efficiency intelligent power range extender energy storage redundancy system according to claim 1, characterized in that: The system also 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 overall results of energy storage redundancy include energy recovery pattern, power replenishment distribution, and collaborative performance system.

9. The high-efficiency intelligent power range extender energy storage redundancy system according to claim 8, characterized in that: The energy recovery and power replenishment assessment module includes a recovery flow direction construction submodule, a power replenishment 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.

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