A hybrid vehicle low-temperature fuel consumption optimization calibration method and system

Abstract

The application discloses a kind of hybrid electric vehicle low temperature fuel consumption optimization calibration method and system, it is related to hybrid electric vehicle technical field, the method includes: using engine test bench, the engine operating condition of hybrid electric vehicle to be tested and calibrated is tested, obtains low temperature universal characteristic and thermal balance data, calculates the boundary condition of fuel consumption, thermal management, NVH performance;At the same time, construct low temperature vehicle energy management simulation model based on fuel consumption management and thermal management;Simulation is carried out within the range of boundary condition, set the calibration value of parameter to be calibrated, circulate and traverse the combination of different values of each parameter to be calibrated, the current calibrated engine operating condition point is calculated using low temperature vehicle energy management simulation model, and the electric balance performance is simulated;Constantly cyclic iteration until electric balance performance meets the set requirement.The application can optimize fuel consumption performance while guaranteeing low temperature thermal management, electric balance, NVH performance, and greatly save the time and cost of low temperature fuel consumption development.

Description

Technical Field

[0001] The present invention relates to the technical field of hybrid vehicle technology, and in particular to a method and system for optimizing and calibrating low-temperature fuel consumption of a hybrid vehicle. Background Art

[0002] A hybrid vehicle (HEV) is a vehicle whose drive system consists of two or more separate drive systems that can operate simultaneously. The vehicle's driving power is provided by the separate drive systems individually or collectively, depending on the actual driving state of the vehicle. Generally, HEVs refer to hybrid electric vehicles, including HEVs (Hybrid Electric Vehicles), REEVs (Range Extended Electric Vehicles), and PHEVs (Plug-in Hybrid Electric Vehicles). These vehicles use a traditional internal combustion engine (such as a diesel or gasoline engine) and an electric motor as their power sources.

[0003] Currently, the development of low-temperature fuel efficiency for hybrid vehicles is mostly accomplished through on-vehicle testing and calibration. This on-vehicle testing method is time-consuming and costly, and the vast majority of calibration work sacrifices fuel efficiency to optimize thermal management, electrical balance, and NVH (Noise, Vibration, Harshness) performance, resulting in poor fuel efficiency for hybrid vehicle engines. Furthermore, during on-vehicle testing and calibration, thermal management is a critical vehicle performance in low-temperature environments. Calibration primarily optimizes electric heating or engine waste heat to ensure heating comfort. However, using electric heating for calibration requires more fuel to generate electricity to maintain electrical balance, resulting in poor fuel efficiency. Using engine waste heat for calibration requires the engine to run for extended periods of time, which, to maintain electrical balance and NVH performance, forces the engine to operate inefficiently, leading to poor fuel efficiency. Summary of the Invention

[0004] In order to address the deficiencies of the above-mentioned prior art, the present invention provides a method and system for optimizing the calibration of low-temperature fuel consumption of hybrid vehicles. By conducting bench tests on the operating conditions of the hybrid vehicle engine, the boundary requirements of fuel consumption, thermal management, and NVH performance are calculated based on the test data. Under these boundary requirements, the calibration of relevant parameters is adjusted and optimized through iterative model simulation to obtain a low-temperature fuel consumption optimization calibration. This calibration can optimize fuel consumption performance while ensuring low-temperature thermal management, electrical balance, and NVH performance, and greatly save the time and cost of low-temperature fuel consumption development.

[0005] In a first aspect, the present invention provides a method for optimizing and calibrating low-temperature fuel consumption of a hybrid electric vehicle.

[0006] A hybrid vehicle low-temperature fuel consumption optimization calibration method, comprising:

[0007] Test the engine operating conditions of the hybrid vehicle to be tested and calibrated by using an engine test bench, and obtain low-temperature universal characteristics and thermal balance data;

[0008] Based on the data obtained by testing, calculate the boundary requirements of low-temperature engine fuel consumption, thermal management and NVH performance, and then determine the boundary conditions of the simulation parameters; at the same time, construct a low-temperature vehicle energy management simulation model based on fuel consumption management and thermal management;

[0009] Simulate within the boundary conditions of the simulation parameters, set the calibration value of the to-be-calibrated parameters based on the simulation parameters, loop through the combinations of different values of each to-be-calibrated parameter, calculate the current calibrated engine operating condition point by using the low-temperature vehicle energy management simulation model, and simulate to obtain the electric balance performance; continuously loop and iterate until the electric balance performance meets the set requirements, and complete the low-temperature fuel consumption calibration optimization.

[0010] Further technical solutions, the simulation parameters include vehicle speed and ambient temperature; the to-be-calibrated parameters include driving demand power, engine start water temperature and engine stop water temperature.

[0011] Further technical solutions, the determination of the boundary conditions of the simulation parameters comprises:

[0012] Test to obtain low-temperature universal characteristics and thermal balance data, and calculate low-temperature engine fuel consumption speed lines, low-temperature thermal management power lines;

[0013] Test to obtain low-temperature engine NVH data, combine with vehicle NVH simulation test, and calculate low-temperature engine NVH power lines;

[0014] Based on the low-temperature engine fuel consumption speed lines, the low-temperature thermal management power lines and the low-temperature engine NVH power lines, the boundary conditions of the simulation parameters are calculated and determined.

[0015] Further technical solutions, in the current cycle optimization process, setting the calibration value of the to-be-calibrated parameters based on the simulation parameters, comprising:

[0016] According to the vehicle speed and ambient temperature simulated by the model, the engine start water temperature and the engine stop water temperature are calculated;

[0017] Based on the start water temperature and the stop water temperature of the engine, the running state of the engine is determined;

[0018] When the engine is in a running state, the wheel end power demand is calculated according to the vehicle speed and torque demand simulated by the model, and then the driving demand power is calculated to complete the preliminary setting of each to-be-calibrated parameter.

[0019] A further technical solution is to calculate the NVH power and thermal management power based on the vehicle speed and ambient temperature simulated by the model;

[0020] Based on the required driving power, NVH power, and thermal management power, the engine required power is calculated, and then the engine speed and engine torque at the engine operating point are determined. The electrical balance performance corresponding to the current calibration is obtained through simulation.

[0021] According to a further technical solution, the electrical balance is represented by the battery SOC change value at the beginning and end of the current cycle optimization process.

[0022] A further technical solution is that when the battery SOC change value at the start and end is greater than the set value, the calibration value of each parameter to be calibrated is reset and the next cycle optimization process is carried out; otherwise, the low-temperature fuel consumption calibration optimization is completed.

[0023] In a second aspect, the present invention provides a low-temperature fuel consumption optimization calibration system for a hybrid electric vehicle.

[0024] A hybrid electric vehicle low-temperature fuel consumption optimization calibration system, comprising:

[0025] A test module is used to test the engine operating conditions of the hybrid vehicle to be tested and calibrated using an engine test bench to obtain low-temperature universal characteristics and thermal balance data;

[0026] The boundary condition determination and simulation model construction module is used to calculate the boundary requirements of low-temperature engine fuel consumption, thermal management, and NVH performance based on the data obtained from the test, and then determine the boundary conditions of the simulation parameters. At the same time, a low-temperature vehicle energy management simulation model based on fuel consumption management and thermal management is constructed;

[0027] The calibration optimization module is used to perform simulation within the boundary conditions of the simulation parameters, set the calibration values ​​of the parameters to be calibrated based on the simulation parameters, loop through the combinations of different values ​​of each parameter to be calibrated, and use the low-temperature vehicle energy management simulation model to calculate the currently calibrated engine operating condition point to simulate the electrical balance performance; it continues to iterate until the electrical balance performance meets the set requirements, completing the low-temperature fuel consumption calibration optimization.

[0028] In a third aspect, the present invention further provides an electronic device comprising a memory and a processor, and computer instructions stored in the memory and executed on the processor, wherein when the computer instructions are executed by the processor, the steps of the method described in the first aspect are completed.

[0029] In a fourth aspect, the present invention further provides a computer-readable storage medium for storing computer instructions, which, when executed by a processor, complete the steps of the method described in the first aspect.

[0030] One or more of the above technical solutions have the following beneficial effects:

[0031] The present invention provides a method and system for optimizing the calibration of low-temperature fuel consumption of hybrid vehicles. By conducting bench tests on the operating conditions of the hybrid vehicle engine, the boundary requirements of fuel consumption, thermal management, and NVH performance are calculated based on the test data. Under the boundary requirements, low-temperature calibration parameters are determined, and the calibration of the parameters is adjusted and optimized through model iterative simulation to obtain a low-temperature fuel consumption optimization calibration. This calibration can optimize fuel consumption performance while ensuring low-temperature thermal management, electrical balance, and NVH performance. Moreover, this calibration optimization method does not require actual vehicle test calibration, which greatly saves the time and cost of low-temperature fuel consumption development. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0033] Figure 1 This is an overall flow chart of the hybrid vehicle low-temperature fuel consumption optimization calibration method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0034] It should be noted that the following detailed descriptions are exemplary only and are intended to describe specific embodiments and provide further explanation of the present invention, and are not intended to limit the exemplary embodiments according to the present invention. Unless otherwise indicated, all technical and scientific terms used herein have the same meanings as those commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or combinations thereof.

[0035] Example 1

[0036] This embodiment provides a method for optimizing and calibrating low-temperature fuel consumption of a hybrid electric vehicle, which specifically includes the following steps:

[0037] Using an engine bench, test the engine operating conditions of the hybrid vehicle to be tested and calibrated to obtain low-temperature universal characteristics and thermal balance data;

[0038] Based on the data obtained from the test, the boundary requirements of low-temperature engine fuel consumption, thermal management, and NVH performance are calculated, and the boundary conditions of the simulation parameters are determined. At the same time, a low-temperature vehicle energy management simulation model based on fuel consumption management and thermal management is constructed.

[0039] Simulate within the boundary conditions of the simulation parameters, set the calibration values ​​of the parameters to be calibrated based on the simulation parameters, loop through the different value combinations of the parameters to be calibrated, use the low-temperature vehicle energy management simulation model to calculate the currently calibrated engine operating point, and simulate the electrical balance performance; continue to iterate until the electrical balance performance meets the set requirements, and complete the low-temperature fuel consumption calibration optimization.

[0040] The following content introduces the hybrid vehicle low-temperature fuel consumption optimization calibration method proposed in this embodiment in more detail.

[0041] like Figure 1 As shown, in step S1, the engine operating conditions of the hybrid vehicle to be tested and calibrated are tested using an engine bench to obtain low-temperature universal characteristics and thermal balance data; based on the data obtained from the test, the boundary requirements of low-temperature engine fuel consumption, thermal management and NVH performance are calculated, and then the boundary conditions of simulation parameters are determined, which include vehicle speed and ambient temperature.

[0042] Specifically, the engine test bench is an engine simulation test bench, which primarily simulates various test conditions of the engine test bench by combining a computer with relevant computer software and hardware equipment. Using this engine test bench, the engine operating conditions of the hybrid vehicle to be tested and calibrated are tested to obtain low-temperature universal characteristics (including engine speed, engine torque, engine fuel consumption, etc.) and thermal balance data (including ambient temperature, engine speed, engine torque, engine fuel consumption, engine heat, etc.). Based on the data obtained from this test, the low-temperature engine fuel consumption speed line N and the low-temperature thermal management power line P2 are calculated. In fact, the calculation of the above-mentioned low-temperature engine fuel consumption speed line N and low-temperature thermal management power line P2 is a process of optimization, that is, through optimization, the speed with the lowest fuel consumption under each engine required power is found, and through optimization, the power with the optimal combination of engine heat and fuel consumption is found at each ambient temperature.

[0043] Among them, the calculation of low-temperature engine fuel consumption speed line N, unit rpm, the formula is:

[0044] N=f1(P1)

[0045] In the above formula, P1 is the engine power demand, unit is W.

[0046] Calculate the low-temperature thermal management power line P2, in W, using the formula:

[0047] P2=f2(t)

[0048] In the above formula, t is the ambient temperature, unit is ℃.

[0049] At the same time, a low-temperature vehicle energy management simulation model based on fuel consumption management and thermal management is built. The model consists of three parts: (1) a control model is built using MATLAB / SIMULINK software. The model includes an energy management strategy model, an energy recovery control model, a shift control model, and a thermal management control model; (2) a transmission system model is built using MATLAB / SIMULINK software. The model includes a vehicle model, a high-voltage battery model, a high / low voltage power consumption model, a DC / DC model, a motor model, a gearbox model, a brake model, a tire model, and a driver model; (3) a thermal management model is built using ECS ​​KULI software. The model includes a passenger compartment model, an air conditioning cooling / heating model, a battery heating / cooling model, and an MCU&DCDC cooling model. Finally, the above three models are coupled into a low-temperature vehicle energy management simulation model using MATLAB / SIMULINK software.

[0050] Afterwards, the low-temperature engine NVH data (including engine speed, engine torque, engine fuel consumption, engine noise, etc.) is tested on the engine bench. Combined with the vehicle NVH simulation test (including vehicle speed, engine speed, engine torque, interior noise, etc.), the NVH power line P3 is calculated and determined in W. The formula is:

[0051] P3=f3(v)

[0052] In the above formula, v is the vehicle speed in km / h.

[0053] The calculation of the NVH power line is essentially an optimization process, finding the optimal power for optimizing interior noise and engine fuel consumption at each speed. The calculations described below all refer to optimization, so we will not elaborate on them here.

[0054] Then, based on the low-temperature engine fuel consumption speed line, low-temperature thermal management power line and low-temperature engine NVH power line obtained by the above calculations, the boundary conditions of the simulation parameters are calculated and determined.

[0055] In step S2, optimization calibration is performed using the low-temperature vehicle energy management simulation model. The parameters to be calibrated include the required drive power, engine start water temperature, and engine shutdown water temperature. Specifically, the calibration of the required drive power P4 (a two-dimensional calibration table with input being wheel-end required power and output being engine required power) is optimized, in kW, using the formula:

[0056] P4=f4(p)

[0057] In the above formula, p is the required power at the wheel end, in W.

[0058] Optimized engine start water temperature T1 calibration (a set of three-dimensional calibration tables, input is vehicle speed and ambient temperature, output is engine start water temperature), unit ℃, formula is:

[0059] T1 = f5(v, t)

[0060] In the above formula, v is vehicle speed, unit km / h, t is ambient temperature, unit ℃.

[0061] Optimized engine stop water temperature T2 calibration (a set of three-dimensional calibration tables, input is vehicle speed and ambient temperature, output is engine stop water temperature), unit ℃, formula is:

[0062] T2 = f6(v, t)

[0063] In the above formula, v is vehicle speed, unit km / h, t is ambient temperature, unit ℃.

[0064] Further, in the above optimization calibration process, the simulation is carried out within the boundary conditions of the simulation parameters, the calibration value of the to-be-calibrated parameter (i.e. P4, T1, T2) is set based on the simulation parameters, the combinations of different values of each to-be-calibrated parameter are looped and traversed, the engine speed N act and engine torque Tq act of the engine operating point calibrated at present are calculated by using the low-temperature vehicle energy management simulation model, the electric balance performance is simulated, and the battery SOC change at the beginning and the end is observed. Preferably, the electric balance performance is the battery SOC change value at the beginning and the end of the current cycle optimization process.

[0065] Specifically, the calibration of P4, T1 and T2 is set as follows:

[0066] According to the model-simulated vehicle speed v act and ambient temperature t act , the engine start water temperature is calculated as:

[0067] T 1act = f5(v act , t act )

[0068] and the engine stop water temperature is calculated as:

[0069] T 2act = f6(v act , t act )

[0070] Based on the engine start water temperature and the engine stop water temperature, the running state of the engine is determined. When the engine is in the running state, the wheel end power demand is calculated according to the model-simulated vehicle speed v act and wheel end torque demand Tq act , as:

[0071] p act =v act ÷3.6×Tq act ÷r

[0072] Where r is the wheel rolling radius, in meters.

[0073] Based on the wheel-end power demand, the driving demand power is calculated as:

[0074] P 4act =f4(p act )

[0075] This completes the preliminary setting of each parameter to be calibrated.

[0076] Secondly, according to the vehicle speed v simulated by the model act and ambient temperature t act , calculate NVH power and thermal management power respectively; among them, calculate NVH power, as follows:

[0077] P 3act =f3(v act )

[0078] Calculate the thermal management power as:

[0079] P 2act =f2(t act )

[0080] Based on the driving demand power, NVH power, and thermal management power, the engine demand power is calculated as:

[0081] P 1act =max(min(P 4act , P 3act ), P 2act )

[0082] Then determine the engine speed:

[0083] N act =f1(P 1act )

[0084] And the engine torque:

[0085] Tq1 act =P 1act ×9550÷N act

[0086] That is, the engine operating point is determined, and then the electrical balance performance corresponding to the current calibration is obtained through simulation, that is, the battery SOC change value at the start and end.

[0087] Step S3, when the battery SOC change value at the start and end is greater than a set value, then repeat step S2, reset the calibration value of each to-be-calibrated parameter, and perform the next cycle optimization process. In this embodiment, the set value is 1%.

[0088] Step S4, when the battery SOC change value at the start and end is less than or equal to the set value, then complete the low-temperature fuel consumption calibration optimization.

[0089] In fact, the above steps S3, S4 are obtained by continuously adjusting the calibration of P4, T1 and T2, and continuously iterating simulation until the battery SOC change value at the start and end is ≤1%, i.e. the low-temperature fuel consumption optimization calibration is obtained.

[0090] Embodiment two

[0091] The embodiment provides a low-temperature fuel consumption optimization calibration system for a hybrid vehicle, comprising:

[0092] A test module is configured to test the engine operating condition of the hybrid vehicle to be tested and calibrated by using an engine test bench, and obtain low-temperature universal characteristics and thermal balance data.

[0093] A boundary condition determination and simulation model construction module is configured to calculate the boundary requirements of low-temperature engine fuel consumption, thermal management and NVH performance based on the data obtained by testing, and then determine the boundary conditions of the simulation parameters; and construct a low-temperature vehicle energy management simulation model based on fuel consumption management and thermal management.

[0094] A calibration optimization module is configured to perform simulation within the boundary conditions of the simulation parameters, set the calibration value of the to-be-calibrated parameter based on the simulation parameters, cyclically traverse the combination of different values of each to-be-calibrated parameter, calculate the current calibrated engine operating condition point by using the low-temperature vehicle energy management simulation model, and simulate to obtain the thermal balance performance; and continuously iterate until the thermal balance performance meets the set requirements, and complete the low-temperature fuel consumption calibration optimization.

[0095] Embodiment three

[0096] The embodiment provides an electronic device, comprising a memory and a processor, and computer instructions stored in the memory and running on the processor, when the computer instructions are run by the processor, the steps in the low-temperature fuel consumption optimization calibration method for a hybrid vehicle are completed.

[0097] Embodiment four

[0098] The embodiment also provides a computer readable storage medium for storing computer instructions, when the computer instructions are executed by the processor, the steps in the low-temperature fuel consumption optimization calibration method for a hybrid vehicle are completed.

[0099] The steps and methods involved in the above embodiments two to four correspond to the method of embodiment one, and the specific implementation can refer to the relevant description of embodiment one. The term "computer readable storage medium" should be understood to include a single medium or multiple media of one or more instruction sets; it should also be understood to include any medium capable of storing, encoding, or carrying a set of instructions for execution by a processor and causing the processor to perform any of the methods in the present application.

[0100] Those skilled in the art should understand that each module or step of the present application described above can be realized by a general computer device, alternatively, they can be realized by program codes executable by a computing device, so that they can be stored in a storage device for execution by a computing device, or they can be respectively made into each integrated circuit module, or a plurality of modules or steps among them can be made into a single integrated circuit module to realize. The present application is not limited to any specific combination of hardware and software.

[0101] The above description is only the preferred embodiment of the present application, although the specific implementation of the present application is described in conjunction with the drawings, but it is not a limitation on the protection scope of the present application, those skilled in the art should understand that various modifications or changes made on the basis of the technical scheme of the present application without creative labor are still within the protection scope of the present application.

Claims

1. A hybrid electric vehicle low-temperature fuel consumption optimization calibration method, characterized in that: include: Using an engine bench, test the engine operating conditions of the hybrid vehicle to be tested and calibrated to obtain low-temperature universal characteristics and thermal balance data; Based on the data obtained from the test, the boundary requirements of low-temperature engine fuel consumption, thermal management and NVH performance are calculated, and then the boundary conditions of the simulation parameters are determined; At the same time, a low-temperature vehicle energy management simulation model based on fuel consumption management and thermal management is constructed; Among them, the boundary requirement of low-temperature engine fuel consumption is the low-temperature engine fuel consumption speed line, that is, the speed with the lowest fuel consumption under each engine demand power determined by optimization; The boundary requirement for thermal management is the low-temperature thermal management power line, which is the power with the best combination of engine heat and fuel consumption at each ambient temperature determined by optimization; The boundary requirement for NVH performance is the low-temperature engine NVH power line, which is the power that optimizes the combination of interior noise and engine fuel consumption at each vehicle speed. Simulation is performed within the boundary conditions of the simulation parameters. Calibration values ​​of the parameters to be calibrated are set based on the simulation parameters. The currently calibrated engine operating point is calculated using the low-temperature vehicle energy management simulation model, and the electrical balance performance is simulated. The simulation process is iterated continuously, looping through different combinations of values ​​for each parameter to be calibrated until the electrical balance performance meets the set requirements, completing the low-temperature fuel consumption calibration optimization.

2. The hybrid electric vehicle low-temperature fuel consumption optimization calibration method according to claim 1, characterized in that: The simulation parameters include vehicle speed and ambient temperature; the parameters to be calibrated include driving demand power, engine start water temperature and engine stop water temperature.

3. The hybrid electric vehicle low-temperature fuel consumption optimization calibration method according to claim 1, characterized in that: The boundary conditions for determining the simulation parameters include: Test to obtain low-temperature universal characteristics and thermal balance data, and calculate low-temperature engine fuel consumption speed line and low-temperature thermal management power line; Test and obtain low-temperature engine NVH data, combine it with vehicle NVH simulation test, and calculate the low-temperature engine NVH power line; Based on the low-temperature engine fuel consumption speed line, low-temperature thermal management power line and low-temperature engine NVH power line, the boundary conditions of the simulation parameters are calculated and determined.

4. The hybrid electric vehicle low-temperature fuel consumption optimization calibration method according to claim 1, characterized in that: During the current iteration optimization process, the calibration values ​​of the parameters to be calibrated are set based on the simulation parameters, including: Calculate the engine start water temperature and engine stop water temperature based on the vehicle speed and ambient temperature simulated by the model; Determine the operating state of the engine based on the engine's starting water temperature and shutdown water temperature; When the engine is running, the wheel-end power demand is calculated based on the vehicle speed and torque demand simulated by the model, and then the driving demand power is calculated to complete the preliminary setting of each parameter to be calibrated.

5. The hybrid electric vehicle low-temperature fuel consumption optimization calibration method according to claim 4, characterized in that: Calculate NVH power and thermal management power based on the vehicle speed and ambient temperature simulated by the model; Based on the required driving power, NVH power, and thermal management power, the engine required power is calculated, and then the engine speed and engine torque at the engine operating point are determined. The electrical balance performance corresponding to the current calibration is obtained through simulation.

6. The hybrid electric vehicle low-temperature fuel consumption optimization calibration method according to claim 1, characterized in that: The electrical balance is represented by the battery SOC change value at the beginning and end of the current cycle iteration optimization process.

7. The hybrid electric vehicle low-temperature fuel consumption optimization calibration method according to claim 6, characterized in that: When the battery SOC change value at the start and end is greater than the set value, the calibration value of each parameter to be calibrated is reset and the next cycle iterative optimization process is carried out; otherwise, the low-temperature fuel consumption calibration optimization is completed.

8. A hybrid electric vehicle low-temperature fuel consumption optimization calibration system, characterized in that: include: A test module is used to test the engine operating conditions of the hybrid vehicle to be tested and calibrated using an engine test bench to obtain low-temperature universal characteristics and thermal balance data; The boundary condition determination and simulation model construction module is used to calculate the boundary requirements of low-temperature engine fuel consumption, thermal management, and NVH performance based on the data obtained from the test, and then determine the boundary conditions of the simulation parameters. At the same time, a low-temperature vehicle energy management simulation model based on fuel consumption management and thermal management is constructed; Among them, the boundary requirement of low-temperature engine fuel consumption is the low-temperature engine fuel consumption speed line, that is, the speed with the lowest fuel consumption under each engine demand power determined by optimization; The boundary requirement for thermal management is the low-temperature thermal management power line, which is the power with the best combination of engine heat and fuel consumption at each ambient temperature determined by optimization; The boundary requirement for NVH performance is the low-temperature engine NVH power line, which is the power that optimizes the combination of interior noise and engine fuel consumption at each vehicle speed. The calibration optimization module is used to simulate within the boundary conditions of the simulation parameters, set the calibration values ​​of the parameters to be calibrated based on the simulation parameters, and use the low-temperature vehicle energy management simulation model to calculate the currently calibrated engine operating condition point to simulate the electrical balance performance. The simulation process is continuously iterated, looping through the different combinations of values ​​of each parameter to be calibrated until the electrical balance performance meets the set requirements, completing the low-temperature fuel consumption calibration optimization.

9. An electronic device, characterized in that: The invention comprises a memory and a processor, and computer instructions stored in the memory and executed on the processor. When the computer instructions are executed by the processor, the steps of the hybrid vehicle low-temperature fuel consumption optimization calibration method according to any one of claims 1 to 7 are completed.

10. A computer-readable storage medium, characterized in that Used to store computer instructions, which, when executed by a processor, complete the steps of a hybrid vehicle low-temperature fuel consumption optimization calibration method according to any one of claims 1 to 7.

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