A parameter matching and selection recommendation method and system for hybrid electric vehicles
By obtaining the dynamic operating condition information of hybrid vehicles, calculating their operating parameters, and selecting the target system from multiple matching selection systems, the selection recommendation results are generated, which solves the problem of component matching of electro-hydraulic hybrid vehicles under different operating conditions, and achieves efficient energy recovery and optimized driving performance.
Patent Information
- Application Number
- CN202510117692.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-24
- Publication Date
- 2025-10-28
- Estimated Expiration
- 2045-01-24
AI Technical Summary
Existing technologies struggle to match suitable components such as motors, fuel cells, power batteries, and hydraulic pump motors to meet the power demands of vehicles under various operating conditions, resulting in poor energy recovery efficiency and driving performance in electro-hydraulic hybrid electric vehicles.
By obtaining the dynamic operating condition information of the hybrid vehicle, calculating its operating parameters, and selecting the target system from multiple matching selection systems, the selection recommendation results are generated, including parameter matching of the motor, fuel cell, power battery and hydraulic pump motor.
It achieves efficient energy recovery for electro-hydraulic hybrid vehicles under different operating conditions, providing a smooth driving experience and optimized acceleration performance and driving stability.
Smart Images

Figure CN120045786B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of electro-hydraulic hybrid electric vehicle technology, and in particular to a parameter matching and selection recommendation method and system for hybrid electric vehicles. Background Technology
[0002] With the increasing scarcity of global oil resources and the escalation of environmental pollution, the development of new energy-saving and environmentally friendly vehicles has become an important direction for the automotive industry. Electro-hydraulic hybrid vehicles are attracting more and more attention due to their advantages of low fuel consumption and low emissions.
[0003] Electro-hydraulic hybrid electric vehicles (EMVs) can recover energy more efficiently through electro-hydraulic coupling technology. In some studies, the energy recovery rate of EMVs can be significantly improved by optimizing control strategies. EMVs offer a smooth driving experience; due to the complementarity of the electric motor and hydraulic system, they can intelligently switch between different driving conditions, providing better acceleration performance and driving stability. Summary of the Invention
[0004] The technical problem to be solved by the present invention is to provide a method for selecting a motor for an automotive electro-hydraulic hybrid power system. The method aims to match a suitable motor according to the power requirements of the vehicle under various operating conditions, match a suitable fuel cell and power battery according to the power and requirements of the motor, and match a suitable hydraulic pump motor and corresponding accumulator according to the regenerative braking of the vehicle.
[0005] To achieve the above objectives, the present invention provides the following technical solution:
[0006] According to a first aspect of the present invention, the present invention claims protection for a parameter matching and selection recommendation method for hybrid electric vehicles, comprising:
[0007] The dynamic operating condition information of the hybrid vehicle to be matched is obtained, and the operating parameter information of the hybrid vehicle to be matched is calculated based on the dynamic operating condition information.
[0008] Users select a target matching system from multiple matching systems and obtain the corresponding target operating parameters based on the target matching system;
[0009] The target operating parameters are obtained by adaptively calculating the operating parameter information, and a corresponding selection recommendation result is generated based on the target operating parameter information.
[0010] Furthermore, the step of obtaining the dynamic operating condition information of the hybrid vehicle to be matched, and calculating the operating parameter information of the hybrid vehicle to be matched based on the dynamic operating condition information, further includes:
[0011] The output power of the motor and the output power of the fuel cell are calculated based on the dynamic operating conditions of the hybrid vehicle to be matched.
[0012] Obtain the first power for the hybrid vehicle to be matched when it travels at its highest speed, the second power when it travels at its maximum gradeability, and the third power during acceleration.
[0013] Furthermore, the user selects a corresponding target matching system from multiple matching systems, and obtains the corresponding target operating parameters based on the target matching system, which also includes:
[0014] Users can select the corresponding target matching system from the vehicle powertrain matching selection system, the electric energy storage matching selection system, and the hydraulic energy storage matching selection system;
[0015] When the target matching selection system is a vehicle power matching selection system, the corresponding target operating parameters are to meet the maximum output power of the motor required under the three operating conditions of the hybrid electric vehicle to be matched and the maximum output power of the hydraulic motor required during the acceleration process of the hybrid electric vehicle to be matched.
[0016] When the target matching selection system is an electric energy storage matching selection system, the corresponding target operating parameters are the capacity of the fuel cell determined by the maximum power operating time and the minimum thermal efficiency value of the fuel cell, and the voltage and capacity of the power battery determined by the maximum power of the power battery and the voltage, internal resistance and capacity of a single battery.
[0017] When the target matching selection system is a hydraulic energy storage matching selection system, the corresponding target operating parameters are the working pressure of the hydraulic accumulator determined by the driving speed of the hydraulic motor alone, and the volume of the accumulator determined by satisfying the energy recovery of the regenerative braking of the hybrid electric vehicle to be matched.
[0018] Furthermore, when the target matching selection system is a vehicle powertrain matching selection system, the corresponding target operating parameters are the maximum output power of the motor required under the three operating conditions of the hybrid vehicle to be matched, and also include:
[0019] The maximum power of the motor of the hybrid vehicle to be matched is calculated based on the first power, the second power, and the third power.
[0020] The rated power of the motor of the hybrid electric vehicle to be matched is calculated by combining the vehicle overload coefficient.
[0021] Furthermore, when the target matching selection system is a vehicle powertrain matching selection system, and the corresponding target operating parameter is to meet the maximum output power of the hydraulic motor required during the acceleration process of the hybrid vehicle to be matched, it also includes:
[0022] The maximum torque of the motor is calculated based on the rated speed and maximum power of the motor of the hybrid vehicle to be matched;
[0023] The rated torque of the motor is calculated based on the rated speed and rated power of the motor of the hybrid vehicle to be matched;
[0024] The vehicle transmission efficiency, vehicle speed after acceleration, acceleration, frontal area, air resistance coefficient, rotational mass conversion factor, rolling resistance coefficient, vehicle curb weight, and fuel cell accessory power consumption of the hybrid electric vehicle to be matched are obtained under the working conditions, and the first output power of the fuel cell is calculated.
[0025] The second output power of the fuel cell is determined based on the percentage of output power accounted for by the fuel cell and the maximum power of the motor.
[0026] The maximum power of the fuel cell is obtained based on its first and second output powers.
[0027] The parameters of the hydraulic pump motor are determined, and the first output power of the hydraulic motor is calculated based on the vehicle transmission efficiency, vehicle speed after acceleration, acceleration, frontal area, air resistance coefficient, rotational mass conversion coefficient, rolling resistance coefficient and vehicle curb weight under the working conditions of the hybrid vehicle to be matched.
[0028] The maximum torque of the hydraulic motor is calculated by combining the maximum power speed of the hydraulic motor and the maximum power of the motor.
[0029] Furthermore, when the target matching selection system is an energy storage matching selection system, the corresponding target operating parameters are the fuel cell capacity determined by the fuel cell's maximum power operating time and minimum thermal efficiency value, and the power battery voltage and capacity determined by the power battery's maximum power and the voltage, internal resistance, and capacity of a single battery cell. This also includes:
[0030] The energy C required to determine the maximum operating time of a fuel cell is determined based on its maximum output power. f ;
[0031] The capacity of the fuel cell is determined based on the low calorific value of the fuel, the maximum power of the fuel cell, and the output efficiency of the fuel cell at its maximum power.
[0032] Determine the parameters of the power battery pack based on the maximum output power P of the motor. max The percentage of output power accounted for by the fuel cell, combined with the overall efficiency of the power battery pack, is used to calculate the output power of the power battery pack.
[0033] Determine the voltage, internal resistance, and capacity of the selected individual battery, and calculate the power and number of individual batteries in the battery pack;
[0034] Based on the rated power of the motor, determine the commonly used motors for hybrid electric vehicles, determine the motor voltage, obtain the number of individual cells connected in series in the battery pack, and calculate the total voltage based on the voltage of the selected individual cells.
[0035] The number of individual cells connected in parallel within the battery pack is obtained based on the number of individual cells in the battery pack and the number of individual cells connected in series.
[0036] The capacity of the battery pack is obtained based on the number of individual cells connected in parallel within the battery pack.
[0037] Furthermore, when the target matching selection system is a hydraulic energy storage matching selection system, the corresponding target operating parameters are the working pressure of the hydraulic accumulator determined by the individual drive speed of the hydraulic motor and the volume of the accumulator determined by satisfying the energy recovery of the regenerative braking of the hybrid vehicle to be matched, and also include:
[0038] The minimum and maximum working pressures of the hydraulic accumulator, as well as the accumulator charging pressure, are determined by the first output power of the hydraulic motor, the maximum vehicle speed in the pump / motor individual drive mode, and the displacement of the hydraulic pump / motor.
[0039] By satisfying the energy recovery requirements of regenerative braking of automobiles, the volume V0 of the hydraulic accumulator is determined by combining the initial braking speed of the vehicle, the polytropic process index of the gas, the maximum working pressure of the hydraulic accumulator, and the charging pressure of the accumulator.
[0040] According to a second aspect of the present invention, the present invention claims protection for a parameter matching and selection recommendation system for hybrid electric vehicles, comprising:
[0041] One or more processors;
[0042] A memory storing one or more programs, which, when executed by one or more processors, cause the one or more processors to implement the parameter matching and selection recommendation method for hybrid vehicles.
[0043] This invention relates to the field of electro-hydraulic hybrid electric vehicle (HEV) technology, and more particularly to a parameter matching and selection recommendation method and system for HEVs. The method involves acquiring dynamic operating condition information of the HEV to be matched, calculating its operating parameters based on this information, allowing the user to select a target matching system from multiple matching systems, and obtaining the corresponding target operating parameters based on this system. Adaptive calculations are then performed on the operating parameters to obtain the target operating parameters, and a corresponding selection recommendation result is generated based on these parameters. The HEV of this invention efficiently recovers energy through electromechanical-hydraulic coupling technology. This technology, through the complementary and intelligent switching of the motor and hydraulic system, provides a smooth driving experience and optimizes acceleration performance and driving stability. Attached Figure Description
[0044] Figure 1 This is a flowchart illustrating a parameter matching and selection recommendation method for hybrid electric vehicles, as claimed in an embodiment of the present invention. Detailed Implementation
[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.
[0046] The terms "first," "second," and "third" used in this invention are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified. All directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this invention are only used to explain the relative positional relationships and movements between components in a specific orientation (as shown in the figures). If the specific orientation changes, the directional indications also change accordingly. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.
[0047] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.
[0048] According to a first embodiment of the present invention, the present invention claims protection for a parameter matching and selection recommendation method for hybrid electric vehicles, referring to... Figure 1 ,include:
[0049] The dynamic operating condition information of the hybrid vehicle to be matched is obtained, and the operating parameter information of the hybrid vehicle to be matched is calculated based on the dynamic operating condition information.
[0050] Users select a target matching system from multiple matching systems and obtain the corresponding target operating parameters based on the target matching system;
[0051] The target operating parameters are obtained by adaptively calculating the operating parameter information, and a corresponding selection recommendation result is generated based on the target operating parameter information.
[0052] Furthermore, the step of obtaining the dynamic operating condition information of the hybrid vehicle to be matched, and calculating the operating parameter information of the hybrid vehicle to be matched based on the dynamic operating condition information, further includes:
[0053] The output power of the motor and the output power of the fuel cell are calculated based on the dynamic operating conditions of the hybrid vehicle to be matched.
[0054] Obtain the first power for the hybrid vehicle to be matched when it travels at its highest speed, the second power when it travels at its maximum gradeability, and the third power during acceleration.
[0055] In this embodiment, the power P1 required for the car to travel at its maximum speed is obtained;
[0056] Obtain the power P2 that satisfies the maximum gradeability of the vehicle;
[0057] Obtain the power P3 required for the car's acceleration process.
[0058] Furthermore, the user selects a corresponding target matching system from multiple matching systems, and obtains the corresponding target operating parameters based on the target matching system, which also includes:
[0059] Users can select the corresponding target matching system from the vehicle powertrain matching selection system, the electric energy storage matching selection system, and the hydraulic energy storage matching selection system;
[0060] When the target matching selection system is a vehicle power matching selection system, the corresponding target operating parameters are to meet the maximum output power of the motor required under the three operating conditions of the hybrid electric vehicle to be matched and the maximum output power of the hydraulic motor required during the acceleration process of the hybrid electric vehicle to be matched.
[0061] When the target matching selection system is an electric energy storage matching selection system, the corresponding target operating parameters are the capacity of the fuel cell determined by the maximum power operating time and the minimum thermal efficiency value of the fuel cell, and the voltage and capacity of the power battery determined by the maximum power of the power battery and the voltage, internal resistance and capacity of a single battery.
[0062] When the target matching selection system is a hydraulic energy storage matching selection system, the corresponding target operating parameters are the working pressure of the hydraulic accumulator determined by the driving speed of the hydraulic motor alone, and the volume of the accumulator determined by satisfying the energy recovery of the regenerative braking of the hybrid electric vehicle to be matched.
[0063] Furthermore, when the target matching selection system is a vehicle powertrain matching selection system, the corresponding target operating parameters are the maximum output power of the motor required under the three operating conditions of the hybrid vehicle to be matched, and also include:
[0064] The maximum power of the motor of the hybrid vehicle to be matched is calculated based on the first power, the second power, and the third power.
[0065] The rated power of the motor of the hybrid electric vehicle to be matched is calculated by combining the vehicle overload coefficient.
[0066] In this embodiment, the maximum power P of the motor is obtained based on the powers P1, P2, and P3. max ;
[0067] P max =max{P1,P2,P3};
[0068] Calculate the rated power P of the motor. e ;
[0069]
[0070] Wherein, λ is the vehicle overload coefficient of the electro-hydraulic hybrid electric vehicle.
[0071] Furthermore, when the target matching selection system is a vehicle powertrain matching selection system, and the corresponding target operating parameter is to meet the maximum output power of the hydraulic motor required during the acceleration process of the hybrid vehicle to be matched, it also includes:
[0072] The maximum torque of the motor is calculated based on the rated speed and maximum power of the motor of the hybrid vehicle to be matched;
[0073] The rated torque of the motor is calculated based on the rated speed and rated power of the motor of the hybrid vehicle to be matched;
[0074] The vehicle transmission efficiency, vehicle speed after acceleration, acceleration, frontal area, air resistance coefficient, rotational mass conversion factor, rolling resistance coefficient, vehicle curb weight, and fuel cell accessory power consumption of the hybrid electric vehicle to be matched are obtained under the working conditions, and the first output power of the fuel cell is calculated.
[0075] The second output power of the fuel cell is determined based on the percentage of output power accounted for by the fuel cell and the maximum power of the motor.
[0076] The maximum power of the fuel cell is obtained based on its first and second output powers.
[0077] The parameters of the hydraulic pump motor are determined, and the first output power of the hydraulic motor is calculated based on the vehicle transmission efficiency, vehicle speed after acceleration, acceleration, frontal area, air resistance coefficient, rotational mass conversion coefficient, rolling resistance coefficient and vehicle curb weight under the working conditions of the hybrid vehicle to be matched.
[0078] The maximum torque of the hydraulic motor is calculated by combining the maximum power speed of the hydraulic motor and the maximum power of the motor.
[0079] In this embodiment, the maximum torque T of the motor is calculated. Emax ;
[0080]
[0081] Calculate the rated torque T of the motor Ee ;
[0082]
[0083] Where, n e This refers to the rated speed of the motor;
[0084] The first output power P of the fuel cell was calculated based on design requirements and operating conditions. f1 :
[0085]
[0086] Where, η T For vehicle transmission efficiency; v a Accelerate the vehicle to its maximum speed; δ is the vehicle's acceleration; m is the vehicle's curb weight; A is the vehicle's frontal area; C is the vehicle's acceleration. D is the vehicle's air resistance coefficient; f is the vehicle's rolling resistance coefficient; P ap This refers to the power consumption of fuel cell accessories.
[0087] Determine the second output power P of the fuel cell f2 ;
[0088] P f2 =xP max ,
[0089] Where x represents the percentage of output power accounted for by the fuel cell.
[0090] According to the power P f1 、P f2 Obtain the maximum power P of the fuel cell. fmax ;
[0091] P fmax =max{P f1 ,P f2};
[0092] The parameters of the hydraulic pump motor are determined. Based on the design requirements, the hydraulic motor is used during the acceleration process when the car starts, and the output power P of the hydraulic motor is derived. H :
[0093]
[0094] Where, η T For vehicle transmission efficiency;
[0095] Calculate the maximum torque T of the hydraulic motor Hmax :
[0096]
[0097] Where, n max Where α is the maximum power speed, and α is the torque adaptability coefficient.
[0098] Furthermore, when the target matching selection system is an energy storage matching selection system, the corresponding target operating parameters are the fuel cell capacity determined by the fuel cell's maximum power operating time and minimum thermal efficiency, and the number of individual cells determined by the power battery's maximum power, voltage, and internal resistance. This also includes:
[0099] The energy C required to determine the maximum operating time of a fuel cell is determined based on its maximum output power. f ;
[0100] The capacity of the fuel cell is determined based on the low calorific value of the fuel, the maximum power of the fuel cell, and the output efficiency of the fuel cell at its maximum power.
[0101] The parameters of the power battery pack are determined, and the ratio of the power battery's output power to the output power is calculated based on the output power of the power battery and the percentage of the output power accounted for by the fuel cell.
[0102] Based on the overall efficiency of the power battery pack, the output power of the power battery is calculated.
[0103] Determine the voltage, internal resistance, and capacity of the selected individual battery, and calculate the power and number of individual batteries in the battery pack;
[0104] Based on the rated power of the motor, determine the commonly used motors for hybrid electric vehicles, determine the motor voltage, obtain the number of individual cells connected in series in the battery pack, and calculate the total voltage based on the voltage of the selected individual cells.
[0105] The number of individual cells connected in parallel within the battery pack is obtained based on the number of individual cells in the battery pack and the number of individual cells connected in series.
[0106] The capacity of the battery pack is obtained based on the number of individual cells connected in parallel within the battery pack.
[0107] The capacity of the power battery is obtained based on the capacity of the individual cells in the battery pack.
[0108] In this embodiment, the energy C required to determine the maximum operating time t of the fuel cell at maximum output power is determined. f ;
[0109] C f =t·P fmax ;
[0110] Determine the capacity m of the fuel cell f ;
[0111]
[0112] in, It has a low calorific value as a fuel;
[0113] Determine the parameters of the power battery pack:
[0114] According to the design requirements, based on the maximum output power P of the motor max The percentage of output power accounted for by the fuel cell (x) and the overall efficiency of the power battery pack (η) b Calculate the output power P of the power batteryBmax :
[0115]
[0116] Where, η b The total efficiency of the power battery pack (η represents the energy loss that occurs when the power battery outputs power). b Its function is to prevent insufficient power output due to energy loss during output.
[0117] Based on the voltage V of the selected single battery BC Internal resistance R BC and capacity C BC The power of each individual cell in the battery pack is obtained. and the number of individual cells in the battery pack
[0118] Based on the rated power of the motor, determine the commonly used motors in hybrid electric vehicles and the motor voltage V. CE ;
[0119] Determine the number of cells connected in series in the battery pack: (Round up)
[0120] Determine the total voltage V of the battery pack C =V BC ·n s ;
[0121] Determine the number of batteries connected in parallel in the battery pack: (Round up)
[0122] Determine the battery pack capacity: C E =n p ·C BC
[0123] Furthermore, when the target matching selection system is a hydraulic energy storage matching selection system, the corresponding target operating parameters are the working pressure of the hydraulic accumulator determined by the individual drive speed of the hydraulic motor and the volume of the accumulator determined by satisfying the energy recovery of the regenerative braking of the hybrid vehicle to be matched, and also include:
[0124] The minimum and maximum working pressures of the hydraulic accumulator, as well as the accumulator charging pressure, are determined by the first output power of the hydraulic motor, the maximum vehicle speed in the pump / motor individual drive mode, and the displacement of the hydraulic pump / motor.
[0125] By satisfying the energy recovery requirements of regenerative braking of automobiles, the volume V0 of the hydraulic accumulator is determined by combining the initial braking speed of the vehicle, the polytropic process index of the gas, the maximum working pressure of the hydraulic accumulator, and the charging pressure of the accumulator.
[0126] In this embodiment, the output power P of the hydraulic accumulator is satisfied. H Determine the minimum working pressure P1 and the maximum working pressure P2 of the hydraulic accumulator, as well as the accumulator charging pressure P0.
[0127]
[0128] P1 = (0.6 - 0.85)P2
[0129] P0 = (0.8 - 0.85)P1
[0130] Among them, v mid Maximum vehicle speed in hydraulic pump / motor independent drive mode; V max The displacement of the hydraulic pump / motor is given; the volume V0 of the hydraulic accumulator is determined by satisfying the energy recovery requirements of regenerative braking in the vehicle.
[0131]
[0132] Among them, u max denoted as , where is the initial velocity of the vehicle during braking; and 'n' is the exponent of the polytropic process of the gas.
[0133] According to a second embodiment of the present invention, the present invention claims protection for a parameter matching and selection recommendation system for hybrid electric vehicles, comprising:
[0134] One or more processors;
[0135] A memory storing one or more programs, which, when executed by one or more processors, cause the one or more processors to implement the parameter matching and selection recommendation method for hybrid vehicles.
[0136] In the several embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between apparatuses or units through some interfaces, and may be electrical, mechanical, or other forms.
[0137] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated units described above can be implemented in hardware or as software functional units. The above are merely embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.
[0138] The specific embodiments of the invention have been described in detail above, but these are merely examples, and the invention is not limited to the specific embodiments described above. For those skilled in the art, any equivalent modifications or substitutions to the invention are also within the scope of this invention. Therefore, all equivalent transformations, modifications, and improvements made without departing from the spirit and principles of this invention should be included within the scope of this invention.
Claims
1. A parameter matching and selection recommendation method for hybrid electric vehicles, characterized in that, include: The output power of the motor and the output power of the fuel cell are calculated based on the dynamic operating conditions of the hybrid vehicle to be matched. Obtain the first power for the hybrid vehicle to be matched when it travels at its highest speed, the second power when it travels at its maximum gradeability, and the third power during acceleration. Users can select the corresponding target matching system from the vehicle powertrain matching selection system, the electric energy storage matching selection system, and the hydraulic energy storage matching selection system; When the target matching selection system is a vehicle power matching selection system, the corresponding target operating parameters are to meet the maximum output power of the motor required under the three operating conditions of the hybrid electric vehicle to be matched and the maximum output power of the hydraulic motor required during the acceleration process of the hybrid electric vehicle to be matched. When the target matching selection system is an energy storage matching selection system, the corresponding target operating parameters are the capacity of the fuel cell determined by the maximum power operating time and the minimum thermal efficiency value of the fuel cell, and the voltage and capacity of the power battery determined by the maximum power of the power battery and the voltage, internal resistance and capacity of a single battery. When the target matching selection system is a hydraulic energy storage matching selection system, the corresponding target operating parameters are the working pressure of the hydraulic accumulator determined by the driving speed of the hydraulic motor alone and the volume of the accumulator determined by satisfying the energy recovery of the regenerative braking of the hybrid electric vehicle to be matched. The target operating parameters are obtained by adaptively calculating the operating parameter information, and a corresponding selection recommendation result is generated based on the target operating parameter information.
2. The parameter matching and selection recommendation method for hybrid electric vehicles according to claim 1, characterized in that, When the target matching selection system is a vehicle powertrain matching selection system, the corresponding target operating parameters are the maximum output power of the motor required under the three operating conditions of the hybrid vehicle to be matched, and also include: The maximum power of the motor of the hybrid vehicle to be matched is calculated based on the first power, the second power, and the third power. The rated power of the motor of the hybrid electric vehicle to be matched is calculated by combining the vehicle overload coefficient.
3. The parameter matching and selection recommendation method for hybrid electric vehicles according to claim 2, characterized in that, When the target matching selection system is a vehicle powertrain matching selection system, and the corresponding target operating parameter is to meet the maximum output power of the hydraulic motor required during the acceleration process of the hybrid vehicle to be matched, it also includes: The maximum torque of the motor is calculated based on the rated speed and maximum power of the motor of the hybrid vehicle to be matched; The rated torque of the motor is calculated based on the rated speed and rated power of the motor of the hybrid vehicle to be matched; The vehicle transmission efficiency, vehicle speed after acceleration, acceleration, frontal area, air resistance coefficient, rotational mass conversion factor, rolling resistance coefficient, vehicle curb weight, and fuel cell accessory power consumption of the hybrid electric vehicle to be matched are obtained under the working conditions, and the first output power of the fuel cell is calculated. The second output power of the fuel cell is determined based on the percentage of output power accounted for by the fuel cell and the maximum power of the motor. The maximum power of the fuel cell is obtained based on its first and second output powers. The parameters of the hydraulic pump motor are determined, and the first output power of the hydraulic motor is calculated based on the vehicle transmission efficiency, vehicle speed after acceleration, acceleration, frontal area, air resistance coefficient, rotational mass conversion coefficient, rolling resistance coefficient and vehicle curb weight under the working conditions of the hybrid vehicle to be matched. The maximum torque of the hydraulic motor is calculated by combining the maximum power speed of the hydraulic motor and the maximum power of the motor.
4. The parameter matching and selection recommendation method for hybrid electric vehicles according to claim 3, characterized in that, When the target matching selection system is an energy storage matching selection system, the corresponding target operating parameters are the fuel cell capacity determined by the fuel cell's maximum power operating time and minimum thermal efficiency, and the power battery voltage and capacity determined by the power battery's maximum power and the voltage, internal resistance, and capacity of a single battery cell. The system also includes: Based on the maximum output power P of the fuel cell fmax Determine the energy C required for the maximum operating time of the fuel cell. f ; Based on the low calorific value of the fuel, the maximum power of the fuel cell, and the output efficiency of the fuel cell at maximum power. Determine the capacity of the fuel cell; Determine the parameters of the power battery pack based on the maximum output power P of the motor. max The percentage of output power accounted for by the fuel cell, combined with the overall efficiency of the power battery pack, is used to calculate the output power of the power battery pack. Determine the voltage, internal resistance, and capacity of the selected individual battery, and calculate the power and number of individual batteries in the battery pack; Based on the rated power of the motor, determine the commonly used motors for hybrid electric vehicles, determine the motor voltage, obtain the number of individual cells connected in series in the battery pack, and calculate the total voltage based on the voltage of the selected individual cells. The number of individual cells connected in parallel in the battery pack is obtained based on the number of individual cells in the battery pack and the number of individual cells connected in series. The capacity of the battery pack is obtained based on the number of individual cells connected in parallel within the battery pack.
5. The parameter matching and selection recommendation method for hybrid electric vehicles according to claim 4, characterized in that, When the target matching selection system is a hydraulic energy storage matching selection system, the corresponding target operating parameters are the working pressure of the hydraulic accumulator determined by the individual drive speed of the hydraulic motor and the volume of the accumulator determined by satisfying the energy recovery of the regenerative braking of the hybrid vehicle to be matched, and also include: The minimum and maximum working pressures of the hydraulic accumulator, as well as the accumulator charging pressure, are determined by the first output power of the hydraulic motor, the maximum vehicle speed in the pump / motor individual drive mode, and the displacement of the hydraulic pump / motor. By satisfying the energy recovery requirements of regenerative braking of automobiles, the volume V0 of the hydraulic accumulator is determined by combining the initial braking speed of the vehicle, the polytropic process index of the gas, the maximum working pressure of the hydraulic accumulator, and the charging pressure of the accumulator.
6. A parameter matching and selection recommendation system for hybrid electric vehicles, characterized in that, include: one or more processors; A memory having stored one or more programs that, when executed by one or more processors, cause the one or more processors to implement a parameter matching and selection recommendation method for hybrid vehicles according to any one of claims 1 to 5.
Citation Information
Patent Citations
An electric vehicle power matching optimization method based on multi-objective programming
CN109033531A