Energy distribution management method and device for hybrid electric vehicle

Abstract

The application discloses a kind of energy distribution management method and device of hybrid electric vehicle, and it is related to automobile power control technical field.The energy flow model of hybrid electric vehicle is constructed in the application, then energy consumption objective function is constructed in combination with mileage difference value, after that, series drive efficiency point and parallel drive efficiency point of hybrid electric vehicle are determined, and energy distribution management is realized based on series drive efficiency point and parallel drive efficiency point and energy consumption objective function.The energy consumption objective function is constructed in the application, the working efficiency of hybrid electric vehicle can be considered comprehensively, and the accuracy of hybrid electric vehicle energy distribution management is improved;Through series drive efficiency point and parallel drive efficiency point, the complexity and amount of calculation of energy flow model can be reduced, and the energy distribution of hybrid electric vehicle under different working models is considered comprehensively, and the efficiency and accuracy of hybrid electric vehicle energy distribution management are improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of automobile power control, and particularly relates to an energy distribution management method and device for a hybrid electric vehicle. BACKGROUND

[0002] With the continuous development of new energy vehicles, the number of hybrid electric vehicles (HEV) is gradually increasing. A hybrid electric vehicle is a type of vehicle that combines a traditional internal combustion engine and an electric motor. Hybrid electric vehicles are generally divided into series, parallel and series-parallel types according to the characteristics of the power system. In different modes, the working performance and energy distribution of hybrid electric vehicles are quite different.

[0003] At present, the energy distribution management strategies of hybrid electric vehicles include global optimization strategy, intelligent management strategy, and rule-based energy management strategy. Although the rule-based energy management strategy has high calculation efficiency, it is based on the formulated rules for energy management, which leads to low accuracy of energy distribution management. The optimization-based energy management strategy is divided into global optimization and transient optimization. Using global optimal control strategy requires a large number of calculations, resulting in low efficiency of energy distribution management. If transient optimization is used for energy management distribution, it is usually calibrated and optimized according to the engine's optimal economic line, which does not fully consider the efficiency of the drive system, resulting in a trade-off in transient optimization, leading to repeated energy distribution management and low efficiency. Therefore, there is an urgent need for an energy distribution management method and device for a hybrid electric vehicle to solve the defects of the prior art. SUMMARY

[0004] The application aims to provide an energy distribution management method and device for a hybrid electric vehicle to solve the above technical problems. By constructing an energy flow model and calculating series drive efficiency points and parallel drive efficiency points, the energy distribution management of the hybrid electric vehicle is realized, and the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle are improved.

[0005] To solve the above technical problems, the application embodiment provides an energy distribution management method for a hybrid electric vehicle, comprising:

[0006] Obtaining working condition data of the hybrid electric vehicle, and obtaining vehicle power demand, engine fuel consumption and battery power consumption according to the working condition data to construct an energy flow model of the hybrid electric vehicle;

[0007] According to the working condition data, a mileage difference of the hybrid electric vehicle is acquired, and an energy consumption target function of the hybrid electric vehicle is constructed based on the mileage difference and an energy flow model;

[0008] According to the working condition data of the hybrid electric vehicle, motor efficiency and engine efficiency of the hybrid electric vehicle are solved, and series driving efficiency points and parallel driving efficiency points of the hybrid electric vehicle are determined;

[0009] According to the series driving efficiency points and the parallel driving efficiency points, the energy flow model is solved with minimization of the energy consumption target function as a solving target, and an optimal energy distribution result of the hybrid electric vehicle is acquired.

[0010] It can be understood that, compared with the prior art, the present application constructs an energy flow model of the hybrid electric vehicle by vehicle power demand, engine fuel consumption and battery power consumption, so that the energy flow model can accurately represent the energy demand of the hybrid electric vehicle, and then an energy consumption target function is constructed in combination with the mileage difference, so that the energy consumption target function can accurately and comprehensively express the energy consumption of the hybrid electric vehicle. Then, the motor efficiency and the engine efficiency of the hybrid electric vehicle are solved, so as to determine the series driving efficiency points and the parallel driving efficiency points of the hybrid electric vehicle. Then, the energy distribution management is realized based on the series driving efficiency points, the parallel driving efficiency points and the energy consumption target function. The present application constructs the energy consumption target function by vehicle power demand, engine fuel consumption, battery power consumption and mileage difference, which can comprehensively consider the working efficiency of the hybrid electric vehicle, and improves the accuracy of the energy distribution management of the hybrid electric vehicle. The series driving efficiency points and the parallel driving efficiency points can reduce the complexity and calculation amount of the energy flow model, and comprehensively consider the energy distribution of the hybrid electric vehicle under different working models, so as to improve the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0011] As a preferred solution, the working condition data of the hybrid electric vehicle is acquired, and the vehicle power demand, the engine fuel consumption and the battery power consumption are acquired according to the working condition data, so as to construct the energy flow model of the hybrid electric vehicle, which specifically comprises:

[0012] The working condition data of the hybrid electric vehicle is acquired, wherein the working condition data comprises vehicle target speed, vehicle mass, vehicle acceleration, battery consumption power and battery operation data;

[0013] The vehicle power demand of the hybrid electric vehicle is calculated according to the vehicle target speed, the vehicle mass and the vehicle acceleration;

[0014] acquire the engine fuel consumption of the hybrid electric vehicle according to the whole vehicle power demand and the battery consumption power of the hybrid electric vehicle;

[0015] determine the battery consumption of the hybrid electric vehicle according to the battery operation data and the battery consumption power;

[0016] construct the energy flow model of the hybrid electric vehicle according to the whole vehicle power demand, the engine fuel consumption and the battery consumption of the hybrid electric vehicle.

[0017] The preferred scheme constructs the energy flow model of the hybrid electric vehicle according to the whole vehicle power demand, the engine fuel consumption and the battery consumption of the hybrid electric vehicle, so that the energy flow model can accurately characterize the energy demand of the hybrid electric vehicle, thereby improving the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0018] As a preferred scheme, the engine fuel consumption of the hybrid electric vehicle is acquired according to the whole vehicle power demand and the battery consumption power of the hybrid electric vehicle, specifically including:

[0019] The working condition data of the hybrid electric vehicle further includes: engine fuel consumption rate and engine output power efficiency loss ratio;

[0020] acquire the working mode of the hybrid electric vehicle, and perform weighted summation on the whole vehicle power demand and the battery consumption power according to the working mode and the engine output power efficiency loss ratio, to acquire the engine output power of the hybrid electric vehicle;

[0021] acquire the engine fuel consumption of the hybrid electric vehicle according to the engine output power and the engine fuel consumption rate of the hybrid electric vehicle.

[0022] The preferred scheme acquires more accurate engine output power according to the working mode of the hybrid electric vehicle, thereby acquiring more accurate engine fuel consumption, improving the accuracy of the energy flow model, and further improving the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0023] As a preferred scheme, the mileage difference of the hybrid electric vehicle is acquired according to the working condition data, and the energy consumption target function of the hybrid electric vehicle is constructed based on the mileage difference and the energy flow model, specifically including:

[0024] acquire the mileage difference of the hybrid electric vehicle according to the whole vehicle target speed;

[0025] determining a SOC difference value of the hybrid electric vehicle according to the battery power consumption in the energy flow model;

[0026] constructing an energy consumption target function of the hybrid electric vehicle according to the engine fuel consumption in the energy flow model, in combination with the mileage difference value and the SOC difference value of the hybrid electric vehicle; wherein the energy consumption target function is:

[0027]

[0028] wherein J is the energy consumption target function, M is the engine fuel consumption, in g / h; T k is the engine torque at k moment, in Nm; N k is the engine speed at k moment, in rpm; ΔSOC is the SOC difference value, in %; Δs is the mileage difference value, in km, and K is time.

[0029] The preferred scheme constructs the energy consumption target function of the hybrid electric vehicle through the energy flow model and the mileage difference value, so that the energy consumption target function can accurately and comprehensively express the energy consumption of the hybrid electric vehicle, thereby improving the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0030] As a preferred scheme, the motor efficiency and the engine efficiency of the hybrid electric vehicle are solved according to the working condition data of the hybrid electric vehicle, and the series driving efficiency point and the parallel driving efficiency point of the hybrid electric vehicle are determined, specifically including:

[0031] The motor efficiency of the hybrid electric vehicle includes generator charging efficiency and driving motor charging efficiency; the engine efficiency of the hybrid electric vehicle includes engine fuel consumption rate; and the working condition data of the hybrid electric vehicle further includes wheel end demand torque, generator speed and generator torque;

[0032] According to a preset conversion algorithm, the generator speed and the generator torque are converted to obtain engine speed and engine torque;

[0033] According to the generator speed, the generator torque, the engine speed and the engine torque, the generator charging efficiency and the engine fuel consumption rate are solved to determine the series driving efficiency point of the hybrid electric vehicle;

[0034] According to the wheel end demand torque, the engine speed and the engine torque, the generator charging efficiency, the driving motor charging efficiency and the engine efficiency are solved to determine the parallel driving efficiency point of the hybrid electric vehicle.

[0035] The preferred scheme determines the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle by solving the motor efficiency and the engine efficiency of the hybrid electric vehicle, can reduce the solving complexity and the calculation amount of the energy flow model, comprehensively considers the energy distribution of the hybrid electric vehicle under different working models, and improves the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0036] As a preferred scheme, the series drive efficiency point of the hybrid electric vehicle is determined by solving the generator charging efficiency and the engine fuel consumption rate according to the generator speed, the generator torque, the engine speed and the engine torque, and specifically includes:

[0037] The generator charging efficiency of the hybrid electric vehicle in the series mode is obtained by querying a preset generator charging efficiency map according to the generator speed and the generator torque;

[0038] The engine fuel consumption rate of the hybrid electric vehicle in the series mode is obtained by querying a preset engine universal characteristic map according to the engine speed and the engine torque;

[0039] The comprehensive fuel consumption of the hybrid electric vehicle in the series mode is determined according to the generator charging efficiency and the engine fuel consumption rate of the hybrid electric vehicle in the series mode;

[0040] The series drive efficiency point of the hybrid electric vehicle is determined based on the isopower line graph according to the comprehensive fuel consumption of the hybrid electric vehicle in the series mode.

[0041] The preferred scheme determines the series drive efficiency point of the hybrid electric vehicle by solving the generator charging efficiency and the engine fuel consumption rate of the hybrid electric vehicle, can reduce the solving complexity and the calculation amount of the energy flow model, comprehensively considers the energy distribution of the hybrid electric vehicle under different working models, and improves the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0042] As a preferred scheme, the parallel drive efficiency point of the hybrid electric vehicle is determined by solving the generator charging efficiency, the driving motor charging efficiency and the engine efficiency according to the wheel end demand torque, the engine speed and the engine torque, and specifically includes:

[0043] The parallel drive scene of the hybrid electric vehicle is obtained, wherein the parallel drive scene includes a generator assist scene, an engine direct drive scene and a driving motor assist scene;

[0044] According to the wheel end required torque, engine speed and engine torque, equivalent engine fuel consumption rate, generator required torque, engine required torque and drive motor required torque of the hybrid electric vehicle in a generator assist scenario, engine direct drive scenario and drive motor assist scenario are calculated;

[0045] According to the equivalent engine fuel consumption rate, generator required torque, engine required torque and drive motor required torque, comprehensive fuel consumption mapping diagrams of the hybrid electric vehicle in the generator assist scenario, engine direct drive scenario and drive motor assist scenario are drawn respectively;

[0046] According to the comprehensive fuel consumption mapping diagrams, parallel working points of the hybrid electric vehicle are obtained, and parallel drive efficiency points of the hybrid electric vehicle are determined.

[0047] The preferred scheme determines the parallel drive efficiency points of the hybrid electric vehicle by solving the generator charging efficiency, drive motor charging efficiency and engine efficiency of the hybrid electric vehicle, can reduce the solving complexity and calculation amount of the energy flow model, comprehensively considers the energy distribution of the hybrid electric vehicle under different working models, and improves the efficiency and accuracy of energy distribution management of the hybrid electric vehicle.

[0048] As a preferred scheme, the calculation of the equivalent engine fuel consumption rate, generator required torque, engine required torque and drive motor required torque of the hybrid electric vehicle in the generator assist scenario, engine direct drive scenario and drive motor assist scenario according to the wheel end required torque, engine speed and engine torque specifically includes:

[0049] The engine fuel consumption rate and generator charging efficiency in the generator assist scenario are determined according to the engine speed and engine torque, and then the equivalent engine fuel consumption rate and generator required torque in the generator assist scenario are determined in combination with the wheel end required torque;

[0050] The equivalent engine fuel consumption rate and engine required torque in the engine direct drive scenario are determined according to the engine speed and engine torque;

[0051] The engine fuel consumption rate and drive motor charging efficiency in the drive motor assist scenario are determined according to the engine speed and engine torque, and then the equivalent engine fuel consumption rate and drive motor required torque in the drive motor assist scenario are determined in combination with the wheel end required torque.

[0052] The preferred scheme can obtain the working data of the hybrid electric vehicle in different scenarios through the wheel end demand torque, the engine speed and the engine torque, can obtain more accurate equivalent engine fuel consumption rate, generator demand torque, engine demand torque and drive motor demand torque, improves the solving accuracy of the parallel driving efficiency point of the hybrid electric vehicle, and further improves the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0053] As a preferred scheme, the energy flow model is solved according to the series driving efficiency point and the parallel driving efficiency point, with the energy consumption target function minimization as a solving target, to obtain the optimal energy distribution result of the hybrid electric vehicle, and specifically includes:

[0054] A discretized SOC state space is constructed according to the energy flow model, and an SOC feasible region is determined.

[0055] A fuel consumption matrix is constructed according to the series driving efficiency point and the parallel driving efficiency point.

[0056] The energy flow model is solved with the energy consumption target function minimization as a solving target, in combination with the SOC feasible region and the fuel consumption matrix, to obtain an engine optimal torque working range, a generator optimal torque working range, a power distribution optimal proportion and a mode optimal switching point.

[0057] The optimal energy distribution result of the hybrid electric vehicle is determined according to the engine optimal torque working range, the generator optimal torque working range, the power distribution optimal proportion and the mode optimal switching point.

[0058] The preferred scheme solves the energy flow model through the series driving efficiency point and the parallel driving efficiency point, with the energy consumption target function minimization as a solving target, reduces the solving complexity and calculation amount of the energy flow model, comprehensively considers the energy distribution of the hybrid electric vehicle in different working models, and improves the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0059] Correspondingly, the embodiment of the present application provides an energy distribution management device of a hybrid electric vehicle, which comprises an energy flow model acquisition module, an energy consumption target function construction module, a series-parallel driving efficiency point calculation module and an energy distribution management module.

[0060] The energy flow model acquisition module is used to acquire the working condition data of the hybrid electric vehicle, and acquire the vehicle power demand, the engine fuel consumption and the battery power consumption according to the working condition data, so as to construct the energy flow model of the hybrid electric vehicle.

[0061] The energy consumption target function construction module is configured to acquire a mileage difference of the hybrid electric vehicle according to the working condition data, and construct an energy consumption target function of the hybrid electric vehicle based on the mileage difference and an energy flow model;

[0062] The series-parallel driving efficiency point calculation module is configured to solve motor efficiency and engine efficiency of the hybrid electric vehicle according to the working condition data of the hybrid electric vehicle, and determine series driving efficiency points and parallel driving efficiency points of the hybrid electric vehicle;

[0063] The energy distribution management module is configured to solve the energy flow model with minimization of the energy consumption target function as a solution target according to the series driving efficiency points and the parallel driving efficiency points, and acquire an optimal energy distribution result of the hybrid electric vehicle.

[0064] It can be understood that, compared with the prior art, the device constructs an energy flow model of the hybrid electric vehicle by using vehicle power demand, engine fuel consumption and battery power consumption, so that the energy flow model can accurately represent energy demand of the hybrid electric vehicle, and then an energy consumption target function is constructed in combination with a mileage difference, so that the energy consumption target function can accurately and comprehensively express energy consumption of the hybrid electric vehicle. Then, the motor efficiency and the engine efficiency of the hybrid electric vehicle are solved to determine series driving efficiency points and parallel driving efficiency points of the hybrid electric vehicle, and then energy distribution management is realized based on the series driving efficiency points and the parallel driving efficiency points and the energy consumption target function. The device constructs the energy consumption target function by using the vehicle power demand, the engine fuel consumption, the battery power consumption and the mileage difference, can comprehensively consider working efficiency of the hybrid electric vehicle, and improves accuracy of energy distribution management of the hybrid electric vehicle. The series driving efficiency points and the parallel driving efficiency points can reduce solution complexity and calculation amount of the energy flow model, comprehensively consider energy distribution of the hybrid electric vehicle under different working models, and improve efficiency and accuracy of energy distribution management of the hybrid electric vehicle. BRIEF DESCRIPTION OF DRAWINGS

[0065] Figure 1 : a step flow chart of a hybrid electric vehicle energy distribution management method provided by an embodiment of the application;

[0066] Figure 2 : a test working condition curve schematic diagram provided by an embodiment of the application;

[0067] Figure 3 : a series driving efficiency optimal point schematic diagram provided by an embodiment of the application;

[0068] Figure 4 : a schematic diagram of a parallel driving efficiency optimal point provided for an embodiment of the present application;

[0069] Figure 5 : a structural schematic diagram of an energy distribution management device of a hybrid electric vehicle provided for an embodiment of the present application;

[0070] In the embodiment, 201 is an energy flow model acquisition module; 202 is an energy consumption target function construction module; 203 is a series-parallel driving efficiency point calculation module; and 204 is an energy distribution management module. DETAILED DESCRIPTION

[0071] The technical solutions in the embodiments of the present application will be clearly and completely described in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative labor fall within the protection scope of the present application.

[0072] It should be noted that in the hybrid electric vehicle, the motor includes a generator (P1 motor) and a driving motor (P3 motor), the generator is usually used to convert mechanical energy generated by the engine into electrical energy, and the driving motor is usually used to convert electrical energy into mechanical energy, thereby driving the vehicle to move forward.

[0073] Please refer to Figure 1 A step flowchart of an energy distribution management method of a hybrid electric vehicle provided for an embodiment of the present application includes steps S101 to S104.

[0074] Step S101: obtaining working condition data of the hybrid electric vehicle, and obtaining vehicle power demand, engine fuel consumption and battery power consumption according to the working condition data to construct an energy flow model of the hybrid electric vehicle.

[0075] In the embodiment, the working condition data of the hybrid electric vehicle is obtained, and the vehicle power demand, the engine fuel consumption and the battery power consumption are obtained according to the working condition data to construct the energy flow model of the hybrid electric vehicle, and specifically includes:

[0076] Obtaining working condition data of the hybrid electric vehicle, wherein the working condition data includes vehicle target speed, vehicle mass, vehicle acceleration, battery consumption power and battery operation data;

[0077] Calculating the vehicle power demand of the hybrid electric vehicle according to the vehicle target speed, the vehicle mass and the vehicle acceleration;

[0078] According to the whole vehicle power demand and the battery consumption power of the hybrid electric vehicle, the engine fuel consumption of the hybrid electric vehicle is obtained;

[0079] According to the battery operation data and the battery consumption power, the battery power consumption of the hybrid electric vehicle is determined.

[0080] According to the whole vehicle power demand, the engine fuel consumption and the battery power consumption of the hybrid electric vehicle, the energy flow model of the hybrid electric vehicle is constructed.

[0081] The embodiment constructs the energy flow model of the hybrid electric vehicle through the whole vehicle power demand, the engine fuel consumption and the battery power consumption of the hybrid electric vehicle, so that the energy flow model can accurately characterize the energy demand of the hybrid electric vehicle, and the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle are improved.

[0082] Please refer to Figure 2 A test working condition curve schematic diagram provided by the embodiment of the present application.

[0083] In an optional embodiment, the working condition data of the hybrid electric vehicle can be selected according to the WLTC working condition of GB / T 19753, and the working condition data can also be collected by installing sensors in the vehicle. Figure 2 The test working condition curve of the time and the vehicle speed under the WLTC working condition, the horizontal coordinate is the time, and the vertical coordinate is the vehicle speed.

[0084] It should be noted that the WLTC working condition (Worldwide Harmonized Light Vehicles Test Cycle) is used for the energy consumption test of the light hybrid electric vehicle, and GB / T 19753 is a general standard for the energy consumption test of the light hybrid electric vehicle.

[0085] In an optional embodiment, the whole vehicle power demand of the hybrid electric vehicle is calculated according to the whole vehicle target speed, the whole vehicle mass and the whole vehicle acceleration, and specifically includes:

[0086] The whole vehicle driving resistance of the hybrid electric vehicle is calculated according to the whole vehicle target speed, the whole vehicle mass and the whole vehicle acceleration, and then the whole vehicle power demand of the hybrid electric vehicle is calculated according to the whole vehicle driving resistance and the whole vehicle target speed; wherein the calculation formula is specifically:

[0087]

[0088] P 整车 =V i ×F轮端 (2);

[0089] wherein, F 轮端 is the whole vehicle driving resistance, unit is N; P 整车 is the whole vehicle power demand, unit is kW; f0 is the whole vehicle resistance coefficient zero order term coefficient, f1 is the whole vehicle resistance coefficient first order term coefficient, f2 is the whole vehicle resistance coefficient second order term coefficient; v i is the whole vehicle target speed of the whole vehicle at t i moment, unit is km / h; mass is the whole vehicle mass, unit is kg; a i is the whole vehicle acceleration of the whole vehicle at t i moment, unit is m / s 2 .

[0090] It should be noted that f0, f1 and f2 are all whole vehicle sliding resistance coefficients, which can be obtained by testing according to GB / T12536.

[0091] In the embodiment, the engine fuel consumption of the hybrid electric vehicle is obtained according to the whole vehicle power demand and the battery consumption power of the hybrid electric vehicle, specifically comprising:

[0092] The working condition data of the hybrid electric vehicle further comprises: engine fuel consumption rate and engine output power efficiency loss ratio;

[0093] The working mode of the hybrid electric vehicle is obtained, and the whole vehicle power demand and the battery consumption power are weighted and summed according to the working mode and the engine output power efficiency loss ratio to obtain the engine output power of the hybrid electric vehicle.

[0094] The engine fuel consumption of the hybrid electric vehicle is obtained according to the engine output power and the engine fuel consumption rate of the hybrid electric vehicle.

[0095] In an optional embodiment, the engine output power of the hybrid electric vehicle is obtained by weighting and summing the whole vehicle power demand and the battery consumption power according to the working mode and the engine output power efficiency loss ratio, specifically comprising:

[0096] The working mode comprises: hybrid mode charging, hybrid mode discharging, hybrid mode not charging and discharging, and pure electric mode;

[0097] When it is hybrid mode charging, the calculation formula of the engine output power of the hybrid electric vehicle is as follows:

[0098] P Egine =(P 整车 +η2×P batt ) / η1 (3).

[0099] When discharging for the hybrid mode, the calculation formula of the engine output power of the hybrid electric vehicle is as follows:

[0100] P Egine =(P 整车 -η2×P batt ) / η1 (4);

[0101] When not charging and not discharging for the hybrid mode, the calculation formula of the engine output power of the hybrid electric vehicle is as follows:

[0102] P Egine =P 整车 / η1 (5);

[0103] When in the pure electric mode, the calculation formula of the engine output power of the hybrid electric vehicle is as follows:

[0104] P Egine =0 (6);

[0105] In formula (3) to (6), P Egine is the engine output power, with the unit of kW; P 整车 is the power demand of the whole vehicle, with the unit of kW; P batt is the battery consumption power, with the unit of kW; η1 is the power output efficiency of the engine, with the value range of 0-1; η2 is the discharging power efficiency of the battery, with the value range of 0-1.

[0106] In an optional embodiment, the engine fuel consumption of the hybrid electric vehicle is obtained according to the engine output power and the engine fuel consumption rate of the hybrid electric vehicle, specifically including:

[0107] The engine fuel consumption of the hybrid electric vehicle is obtained according to the engine output power and the engine fuel consumption rate of the hybrid electric vehicle, and the calculation formula is specifically as follows:

[0108]

[0109] Wherein, M is the engine fuel consumption, with the unit of g / h; FC is the engine fuel consumption rate, with the unit of g / (kW·h); P Egine is the engine output power, with the unit of kW.

[0110] The embodiment obtains more accurate engine output power according to the working mode of the hybrid electric vehicle, so as to obtain more accurate engine fuel consumption, improve the accuracy of the energy flow model, and further improve the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0111] In the embodiment, the battery power consumption of the hybrid electric vehicle is determined according to the battery operation data and the battery power consumption, specifically comprising:

[0112] The battery operation data comprises: battery open-circuit voltage and battery internal resistance;

[0113] The battery current is calculated according to the battery open-circuit voltage and the battery internal resistance;

[0114] The battery power consumption of the hybrid electric vehicle is determined by integrating the battery current in the time dimension.

[0115] In an optional embodiment, the battery current is calculated according to the battery open-circuit voltage and the battery internal resistance; the battery power consumption of the hybrid electric vehicle is determined by integrating the battery current in the time dimension, specifically comprising:

[0116]

[0117]

[0118] Soc k+1 =Soc k -ΔSoc k (10);

[0119] Wherein, I is the battery current, unit: A; U oc is the battery open-circuit voltage, unit: U; R0 is the battery internal resistance, unit: Ω; P batt is the battery power consumption, unit: kW; ΔSoc k is the battery power consumption at k time, unit: %.

[0120] The embodiment obtains more accurate battery power consumption by analyzing the operation data of the battery, improves the accuracy of the energy flow model, and further improves the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0121] Step S102: Obtain the mileage difference of the hybrid electric vehicle according to the working condition data, and construct an energy consumption target function of the hybrid electric vehicle based on the mileage difference and the energy flow model.

[0122] In the embodiment, the mileage difference of the hybrid electric vehicle is obtained according to the working condition data, and the energy consumption target function of the hybrid electric vehicle is constructed based on the mileage difference and the energy flow model, specifically comprising:

[0123] The mileage difference of the hybrid electric vehicle is obtained according to the target vehicle speed;

[0124] determine the SOC difference value of the hybrid electric vehicle according to the battery power consumption in the energy flow model;

[0125] construct an energy consumption target function of the hybrid electric vehicle according to the engine fuel consumption in the energy flow model, combined with the mileage difference value and the SOC difference value of the hybrid electric vehicle; wherein the energy consumption target function is:

[0126]

[0127] wherein J is the energy consumption target function, M is the engine fuel consumption, unit is g / h; T k is the engine torque at k moment, unit is Nm; N k is the engine speed at k moment, unit is rpm; ΔSOC is the SOC difference value, unit is %; Δs is the mileage difference value, unit is km, K is time.

[0128] In an optional embodiment, T k and N k satisfy P Egine = Tk×Nk / 9550.

[0129] In an optional embodiment, the mileage difference value of the hybrid electric vehicle is obtained according to the target vehicle speed of the whole vehicle, specifically comprising:

[0130] obtaining the target mileage of the hybrid electric vehicle according to the target vehicle speed of the whole vehicle;

[0131] obtaining the mileage of the hybrid electric vehicle at the current moment, and performing difference operation with the target mileage to obtain the mileage difference value of the hybrid electric vehicle, and the calculation formula of the target mileage is specifically:

[0132]

[0133] wherein s i is the target mileage of the whole vehicle at t i moment, unit is km, v i is the target vehicle speed of the whole vehicle at t i moment, unit is km / h.

[0134] In an optional embodiment, after constructing the energy consumption target function, it further includes constructing the local constraint corresponding to the energy consumption target function, wherein the local constraint includes:

[0135] Soc min ≤Soc(k)≤Soc max (13);

[0136] P batt,min ≤Pbatt (k)≤P batt,max (14);

[0137] T eng，min ≤T eng (k)≤T Eng，max (15);

[0138] N eng，min ≤N eng (k)≤N eng，max (16);

[0139] T mont,min ≤T mont (k)≤T mont,max (17);

[0140] N mont,min ≤N mont (k)≤N mont,max (18);

[0141] 0≤a≤2.85 (19);

[0142] In formula (13) to (18), Soc min and Soc max are the battery capacity allowed by the battery, in %; P batt,min and P batt,max are the upper limit value and the lower limit value of the power consumption of the battery, in kW; T eng,min and T eng，max are the upper limit value and the lower limit value of the engine torque, in Nm; N eng，min and N eng,max are the upper limit value and the lower limit value of the engine speed, in rpm; T mont,min and T mont,max are the upper limit value and the lower limit value of the motor torque, in Nm; N mont,min and N mont,max are the upper limit value and the lower limit value of the motor speed, in rpm; and a is the vehicle acceleration, in m / s 2 .

[0143] It should be noted that the motor speed here includes the driving motor speed and the generator speed; and the motor torque includes the generator torque and the driving motor torque.

[0144] The embodiment constructs the energy consumption target function of the hybrid electric vehicle through the energy flow model and the mileage difference value, so that the energy consumption target function can accurately and comprehensively express the energy consumption of the hybrid electric vehicle, thereby improving the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0145] Step S103: solving the motor efficiency and the engine efficiency of the hybrid electric vehicle according to the working condition data of the hybrid electric vehicle, determining the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle.

[0146] In the embodiment, the solving the motor efficiency and the engine efficiency of the hybrid electric vehicle according to the working condition data of the hybrid electric vehicle, determining the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle specifically comprises:

[0147] The motor efficiency of the hybrid electric vehicle comprises the generator charging efficiency and the driving motor charging efficiency; the engine efficiency of the hybrid electric vehicle comprises the engine fuel consumption rate; the working condition data of the hybrid electric vehicle further comprises the wheel end demand torque, the generator speed and the generator torque;

[0148] According to a preset conversion algorithm, the generator speed and the generator torque are converted to obtain the engine speed and the engine torque;

[0149] The generator charging efficiency and the engine fuel consumption rate are solved according to the generator speed, the generator torque, the engine speed and the engine torque, to determine the series drive efficiency point of the hybrid electric vehicle;

[0150] The generator charging efficiency, the driving motor charging efficiency and the engine efficiency are solved according to the wheel end demand torque, the engine speed and the engine torque, to determine the parallel drive efficiency point of the hybrid electric vehicle.

[0151] In an optional embodiment, the preset conversion algorithm is specifically a conversion formula among the engine speed, the engine torque, the motor torque and the motor speed, and the conversion formula is specifically:

[0152]

[0153] wherein, T e is the engine torque, n e is the engine speed, T m1 is the motor torque, n m1 is the motor speed; the motor torque comprises the generator torque and the driving motor torque; the motor speed comprises the generator speed and the driving motor speed.

[0154] The embodiment determines the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle by solving the motor efficiency and the engine efficiency of the hybrid electric vehicle, can reduce the solving complexity and the calculation amount of the energy flow model, comprehensively considers the energy distribution of the hybrid electric vehicle under different working models, and improves the efficiency and the accuracy of the energy distribution management of the hybrid electric vehicle.

[0155] In the embodiment, the series drive efficiency point of the hybrid electric vehicle is determined by solving the generator charging efficiency and the engine fuel consumption rate according to the generator speed, the generator torque, the engine speed and the engine torque, and specifically includes the following steps.

[0156] The preset generator charging efficiency map is queried according to the generator speed and the generator torque, and the generator charging efficiency of the hybrid electric vehicle in the series mode is obtained.

[0157] The preset engine universal characteristic map is queried according to the engine speed and the engine torque, and the engine fuel consumption rate of the hybrid electric vehicle in the series mode is obtained.

[0158] The comprehensive fuel consumption of the hybrid electric vehicle in the series mode is determined according to the generator charging efficiency and the engine fuel consumption rate of the hybrid electric vehicle in the series mode.

[0159] The equal power line graph is drawn according to the comprehensive fuel consumption of the hybrid electric vehicle in the series mode, and the series drive efficiency point of the hybrid electric vehicle is determined based on the equal power line graph.

[0160] In an optional embodiment, the generator speed is taken as the range extender speed, and the generator torque is taken as the range extender torque. Then, the preset generator charging efficiency map (i.e., the charging efficiency Map graph of the P1 motor) is queried according to the generator speed and the generator torque (i.e., the range extender speed and the range extender torque) to obtain the generator charging efficiency k of the hybrid electric vehicle in the series mode. Then, the preset engine universal characteristic map is queried according to the engine speed and the engine torque to obtain the engine fuel consumption rate be of the hybrid electric vehicle in the series mode. The comprehensive fuel consumption is calculated as be / k. Then, the equal power line is drawn based on the comprehensive fuel consumption, and the point with the lowest comprehensive fuel consumption on each equal power line is found as the range extender working point at the power, i.e., the series drive efficiency point of the hybrid electric vehicle.

[0161] In particular, the point with the lowest comprehensive fuel consumption is taken as the series drive efficiency point in the embodiment, and other working points can be taken as the series drive efficiency point according to the actual needs of experimenters.

[0162] In an optional embodiment, please refer toFigure 3 A schematic diagram of a series drive efficiency optimal point provided by the embodiment of the present application; the horizontal coordinate is the range extender speed, the unit is rpm, and the vertical coordinate is the range extender torque, the unit is Nm; through the schematic diagram, the point of the lowest comprehensive fuel consumption on each equal power line can be obtained according to the range extender speed and the range extender torque. Figure 3 The schematic diagram can be used to obtain the point of the lowest comprehensive fuel consumption on each equal power line according to the range extender speed and the range extender torque.

[0163] The embodiment determines the series drive efficiency point of the hybrid electric vehicle by solving the generator charging efficiency and the engine fuel consumption rate, can reduce the solving complexity and the calculation amount of the energy flow model, comprehensively considers the energy distribution of the hybrid electric vehicle under different working models, and improves the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0164] In the embodiment, the solving of the generator charging efficiency, the driving motor charging efficiency and the engine efficiency according to the wheel end demand torque, the engine speed and the engine torque to determine the parallel drive efficiency point of the hybrid electric vehicle specifically includes:

[0165] The parallel drive scene of the hybrid electric vehicle is obtained, wherein the parallel drive scene includes a generator assist scene, an engine direct drive scene and a driving motor assist scene;

[0166] The equivalent engine fuel consumption rate, the generator demand torque, the engine demand torque and the driving motor demand torque of the hybrid electric vehicle in the generator assist scene, the engine direct drive scene and the driving motor assist scene are calculated according to the wheel end demand torque, the engine speed and the engine torque;

[0167] The comprehensive fuel consumption mapping diagrams of the hybrid electric vehicle in the generator assist scene, the engine direct drive scene and the driving motor assist scene are respectively drawn according to the equivalent engine fuel consumption rate, the generator demand torque, the engine demand torque and the driving motor demand torque;

[0168] The parallel working point of the hybrid electric vehicle is obtained according to the comprehensive fuel consumption mapping diagrams, and the parallel drive efficiency point of the hybrid electric vehicle is determined.

[0169] The embodiment determines the parallel drive efficiency point of the hybrid electric vehicle by solving the generator charging efficiency, the driving motor charging efficiency and the engine efficiency, can reduce the solving complexity and the calculation amount of the energy flow model, comprehensively considers the energy distribution of the hybrid electric vehicle under different working models, and improves the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0170] In the embodiment, the equivalent engine fuel consumption rate, the generator demand torque, the engine demand torque and the drive motor demand torque of the hybrid electric vehicle in the generator assist scenario, the engine direct drive scenario and the drive motor assist scenario are calculated according to the wheel end demand torque, the engine speed and the engine torque, and specifically include:

[0171] The engine fuel consumption rate and the generator charging efficiency in the generator assist scenario are determined according to the engine speed and the engine torque, and then the equivalent engine fuel consumption rate and the generator demand torque in the generator assist scenario are determined in combination with the wheel end demand torque;

[0172] The equivalent engine fuel consumption rate and the engine demand torque in the engine direct drive scenario are determined according to the engine speed and the engine torque;

[0173] The engine fuel consumption rate and the drive motor charging efficiency in the drive motor assist scenario are determined according to the engine speed and the engine torque, and then the equivalent engine fuel consumption rate and the drive motor demand torque in the drive motor assist scenario are determined in combination with the wheel end demand torque.

[0174] In an optional embodiment, the calculation formulas of the equivalent engine fuel consumption rate, the generator demand torque and the drive motor demand torque are specifically as follows:

[0175]

[0176] T gen =(T engine -T req / i)×R (22);

[0177] T motor =(T req -T engine / i)×R1(23);

[0178] In the formulas (21) to (23), be total is the equivalent engine fuel consumption rate, with the unit of g / (kW·h); be is the engine fuel consumption rate, with the unit of g / (kW·h); r is the torque proportion of the engine allocated to the generator or the drive motor; T gen is the generator demand torque, with the unit of Nm; T engine is the engine torque, with the unit of Nm; i is the engine direct drive transmission ratio; R is the speed ratio of the engine and the generator; T motor is the drive motor demand torque, with the unit of Nm; R1 is the speed ratio of the drive motor and the engine; η is the engine output power efficiency value, with the value range of 0-1.

[0179] In an optional embodiment, when in the generator assist scenario, i.e., P1 motor assist, the engine fuel consumption rate be1 corresponding to the preset engine universal characteristic map is obtained according to the engine speed and the engine torque, then the engine speed and the engine torque are converted into the generator speed and the generator torque according to formula (20), then the generator charging efficiency is obtained according to the generator speed and the generator torque by querying the preset generator charging efficiency map (i.e., the charging efficiency Map of the P1 motor), and the torque proportion allocated to the generator (i.e., the P1 motor) is determined according to the generator charging efficiency, which is r1, and then the torque proportion of the engine allocated to the wheel end demand torque is 1-r1; then the engine fuel consumption rate be1, the engine torque and the wheel end demand torque are brought into formula (21) and formula (22) to obtain the equivalent engine fuel consumption rate and the generator demand torque in the generator assist scenario.

[0180] In an optional embodiment, when in the engine direct drive scenario, the engine torque is taken as the engine demand torque, and the engine fuel consumption rate corresponding to the preset engine universal characteristic map is obtained according to the engine speed and the engine torque, which is taken as the equivalent engine fuel consumption rate in the engine direct drive scenario.

[0181] In an optional embodiment, when in the drive motor assist scenario, i.e., P3 motor assist, the engine fuel consumption rate be2 corresponding to the preset engine universal characteristic map is obtained according to the engine speed and the engine torque, then the engine speed and the engine torque are converted into the drive motor speed and the drive motor torque according to formula (20), then the drive motor charging efficiency is obtained according to the drive motor speed and the drive motor torque by querying the preset drive motor charging efficiency map (i.e., the charging efficiency Map of the P3 motor), and the torque proportion allocated to the drive motor is determined according to the drive motor charging efficiency, which is r2, and the torque proportion allocated to the engine is 1-r2; then the engine fuel consumption rate be2, the engine torque and the wheel end demand torque are brought into formula (21) and formula (23) to obtain the equivalent engine fuel consumption rate and the generator demand torque in the drive motor assist scenario.

[0182] In an optional embodiment, please refer to Figure 4 A parallel driving efficiency optimal point diagram provided by the embodiment of the application; wherein the parallel engine working point of the hybrid electric vehicle in the speed range of 70km / h-140km / h is calculated according to the equivalent engine fuel consumption rate, the generator demand torque, the engine demand torque and the drive motor demand torque of the hybrid electric vehicle in the generator assist scenario, the engine direct drive scenario and the drive motor assist scenario, then the comprehensive fuel consumption map (i.e., the comprehensive fuel consumption Map) in different speeds is plotted at intervals of 5km / h (such as Figure 4As shown, the abscissa is the demand torque, and the ordinate is the engine torque, the parallel working point is found from the comprehensive fuel consumption map from the demand torque 0 to 1200Nm, then the parallel direct drive boundary and the engine torque corresponding to the motor power generation in the parallel mode are obtained through the parallel working point, and then the parallel driving efficiency point of the hybrid electric vehicle is obtained.

[0183] In particular, the point with the lowest comprehensive fuel consumption is taken as the parallel driving efficiency point in the embodiment, and experimenters can take other working points as the parallel driving efficiency point according to specific actual requirements.

[0184] The working data of the hybrid electric vehicle in different scenarios can be obtained through the wheel end demand torque, engine speed and engine torque, more accurate equivalent engine fuel consumption rate, generator demand torque, engine demand torque and driving motor demand torque can be obtained, the solving accuracy of the parallel driving efficiency point of the hybrid electric vehicle is improved, and the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle are improved.

[0185] Step S104: solving the energy flow model according to the series driving efficiency point and the parallel driving efficiency point, taking the minimization of the energy consumption target function as the solving target, and obtaining the optimal energy distribution result of the hybrid electric vehicle.

[0186] In the embodiment, the energy flow model is solved according to the series driving efficiency point and the parallel driving efficiency point, taking the minimization of the energy consumption target function as the solving target, and obtaining the optimal energy distribution result of the hybrid electric vehicle, specifically including:

[0187] constructing a discretized SOC state space according to the energy flow model, and determining an SOC feasible region;

[0188] constructing a fuel consumption matrix according to the series driving efficiency point and the parallel driving efficiency point;

[0189] combining the SOC feasible region and the fuel consumption matrix to solve the energy flow model, taking the minimization of the energy consumption target function as the solving target, and obtaining an engine optimal torque working range, a generator optimal torque working range, a power distribution optimal proportion and a mode optimal switching point;

[0190] determining the optimal energy distribution result of the hybrid electric vehicle according to the engine optimal torque working range, the generator optimal torque working range, the power distribution optimal proportion and the mode optimal switching point.

[0191] In an optional embodiment, the embodiment can be solved by a DP algorithm, wherein the solving process of the DP algorithm specifically comprises the following steps: firstly, constructing a discretized SOC state space according to the energy flow model, setting initial and terminal soc values, maximum and minimum soc values, and constraining the number of soc discrete points at each time, calculating the required power and the maximum power that can be generated by the motor at each time, comparing the motor required power and the motor maximum power, taking the minimum value, and calculating the soc change value at each time, so as to determine the SOC feasible region; then, constructing a fuel consumption matrix combined with the series driving efficiency point and the parallel driving efficiency point, determining the fuel consumption from the i th state point at the i th time and the i th geographical position to the k th state point at the j th time or the j th geographical position, and storing the corresponding control variables into the corresponding three-dimensional control variable matrix (i.e., the fuel consumption matrix); then, taking the minimization of the energy consumption objective function as the solving target, i.e., the cumulative fuel consumption from each time k to the terminal state is minimized, the initial and ending soc change is minimized, and the travel distance change is minimized as the planning target, adopting a recursive calling manner to inversely calculate from the terminal state to the initial state to plan and solve the optimal SOC trajectory and control sequence, and finally the engine optimal torque working range, the generator optimal torque working range, the power distribution optimal proportion, and the mode optimal switching point.

[0192] It should be noted that the DP algorithm (Dynamic Programming) is a method for solving problems with overlapping subproblems and optimal substructure properties, which is commonly used for global planning of hybrid electric vehicles, and there are relatively mature application technologies at present. The above optional embodiment is only an adaptive description, and will not be described in more detail.

[0193] The embodiment solves the energy flow model by taking the minimization of the energy consumption objective function as the solving target, reduces the solving complexity and calculation amount of the energy flow model, comprehensively considers the energy distribution of the hybrid electric vehicle under different working models, and improves the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0194] The embodiment constructs an energy flow model of the hybrid electric vehicle by vehicle power demand, engine fuel consumption and battery power consumption, so that the energy flow model can accurately characterize the energy demand of the hybrid electric vehicle, and then combines the range difference to construct an energy consumption objective function, so that the energy consumption objective function can accurately and comprehensively express the energy consumption of the hybrid electric vehicle. Then, the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle are determined by solving the motor efficiency and the engine efficiency of the hybrid electric vehicle, and then the energy distribution management is realized based on the series drive efficiency point and the parallel drive efficiency point and the energy consumption objective function. The embodiment constructs the energy consumption objective function by vehicle power demand, engine fuel consumption, battery power consumption and range difference, which can comprehensively consider the working efficiency of the hybrid electric vehicle, and improves the accuracy of the energy distribution management of the hybrid electric vehicle. Through the series drive efficiency point and the parallel drive efficiency point, the solving complexity and the calculation amount of the energy flow model can be reduced, and the energy distribution of the hybrid electric vehicle under different working models is comprehensively considered, which improves the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0195] Embodiment two

[0196] Please refer to Figure 5 A structure schematic diagram of an energy distribution management device of a hybrid electric vehicle provided by the embodiment of the present application, comprising: an energy flow model acquisition module 201, an energy consumption objective function construction module 202, a series-parallel drive efficiency point calculation module 203 and an energy distribution management module 204.

[0197] The energy flow model acquisition module 201 is used to acquire the working condition data of the hybrid electric vehicle, and acquire the vehicle power demand, the engine fuel consumption and the battery power consumption according to the working condition data, so as to construct the energy flow model of the hybrid electric vehicle.

[0198] In the embodiment, the energy flow model acquisition module 201 comprises an energy flow model acquisition unit.

[0199] The energy flow model acquisition unit is used to acquire the working condition data of the hybrid electric vehicle, wherein the working condition data comprises: vehicle target speed, vehicle mass, vehicle acceleration, battery consumption power and battery operation data.

[0200] The vehicle power demand of the hybrid electric vehicle is calculated according to the vehicle target speed, the vehicle mass and the vehicle acceleration.

[0201] The engine fuel consumption of the hybrid electric vehicle is acquired according to the vehicle power demand of the hybrid electric vehicle and the battery consumption power.

[0202] determining the battery power consumption of the hybrid electric vehicle according to the battery operation data and the battery power consumption;

[0203] constructing an energy flow model of the hybrid electric vehicle according to the vehicle power demand, the engine fuel consumption and the battery power consumption of the hybrid electric vehicle.

[0204] In the embodiment, the energy flow model acquisition unit comprises an engine fuel consumption acquisition subunit;

[0205] The engine fuel consumption acquisition subunit is configured to acquire the engine fuel consumption rate and the engine output power efficiency loss ratio from the working condition data of the hybrid electric vehicle.

[0206] acquiring the working mode of the hybrid electric vehicle, and performing weighted summation on the vehicle power demand and the battery power consumption according to the working mode and the engine output power efficiency loss ratio to obtain the engine output power of the hybrid electric vehicle.

[0207] acquiring the engine fuel consumption of the hybrid electric vehicle according to the engine output power and the engine fuel consumption rate of the hybrid electric vehicle.

[0208] In the embodiment, the energy flow model acquisition unit comprises a battery power consumption acquisition subunit;

[0209] In the battery power consumption acquisition subunit, the battery operation data comprises an open-circuit voltage of the battery and an internal resistance of the battery.

[0210] The battery power consumption acquisition subunit is configured to calculate a battery current according to the open-circuit voltage and the internal resistance of the battery, and to determine the battery power consumption of the hybrid electric vehicle by integrating the battery current in the time dimension.

[0211] The energy consumption objective function construction module 202 is configured to acquire a mileage difference of the hybrid electric vehicle according to the working condition data, and to construct an energy consumption objective function of the hybrid electric vehicle based on the mileage difference and the energy flow model.

[0212] In the embodiment, the energy consumption objective function construction module 202 comprises an energy consumption objective function construction unit;

[0213] The energy consumption objective function construction unit is configured to acquire a mileage difference of the hybrid electric vehicle according to the vehicle target speed.

[0214] determining a SOC difference of the hybrid electric vehicle according to the battery power consumption in the energy flow model;

[0215] According to the engine fuel consumption in the energy flow model, combined with the mileage difference and the SOC difference of the hybrid electric vehicle, an energy consumption target function of the hybrid electric vehicle is constructed; wherein the energy consumption target function is:

[0216]

[0217] Wherein J is the energy consumption target function, M is the engine fuel consumption, unit is g / h; T k is the engine torque at k moment, unit is Nm; N k is the engine speed at k moment, unit is rpm; ΔSOC is the SOC difference, unit is %; Δs is the mileage difference, unit is km, K is time.

[0218] The series-parallel driving efficiency point calculation module 203 is configured to solve the motor efficiency and the engine efficiency of the hybrid electric vehicle according to the working condition data of the hybrid electric vehicle, and determine the series driving efficiency point and the parallel driving efficiency point of the hybrid electric vehicle.

[0219] In this embodiment, the series-parallel driving efficiency point calculation module 203 includes a series-parallel driving efficiency point calculation unit;

[0220] In the series-parallel driving efficiency point calculation unit, the motor efficiency of the hybrid electric vehicle includes the generator charging efficiency and the driving motor charging efficiency; the engine efficiency of the hybrid electric vehicle includes the engine fuel consumption rate; and the working condition data of the hybrid electric vehicle further includes the wheel end demand torque, the generator speed and the generator torque;

[0221] The series-parallel driving efficiency point calculation unit is configured to convert the generator speed and the generator torque according to a preset conversion algorithm, to obtain the engine speed and the engine torque;

[0222] According to the generator speed, the generator torque, the engine speed and the engine torque, the generator charging efficiency and the engine fuel consumption rate are solved, and the series driving efficiency point of the hybrid electric vehicle is determined;

[0223] According to the wheel end demand torque, the engine speed and the engine torque, the generator charging efficiency, the driving motor charging efficiency and the engine efficiency are solved, and the parallel driving efficiency point of the hybrid electric vehicle is determined.

[0224] In this embodiment, the series-parallel driving efficiency point calculation unit includes a series driving efficiency point calculation subunit;

[0225] The series driving efficiency point calculation sub-unit is configured to query a preset generator charging efficiency map according to the generator speed and the generator torque, and obtain a generator charging efficiency of the hybrid electric vehicle in the series mode;

[0226] query a preset engine universal characteristic map according to the engine speed and the engine torque, and obtain an engine fuel consumption rate of the hybrid electric vehicle in the series mode;

[0227] determine a comprehensive fuel consumption of the hybrid electric vehicle in the series mode according to the generator charging efficiency and the engine fuel consumption rate of the hybrid electric vehicle in the series mode;

[0228] draw an equal power line graph according to the comprehensive fuel consumption of the hybrid electric vehicle in the series mode, and determine a series driving efficiency point of the hybrid electric vehicle based on the equal power line graph.

[0229] In this embodiment, the series-parallel driving efficiency point calculation unit comprises a parallel driving efficiency point calculation sub-unit;

[0230] The parallel driving efficiency point calculation sub-unit is configured to obtain a parallel driving scenario of the hybrid electric vehicle, wherein the parallel driving scenario comprises a generator assist scenario, an engine direct drive scenario and a driving motor assist scenario;

[0231] calculate an equivalent engine fuel consumption rate, a generator demand torque, an engine demand torque and a driving motor demand torque of the hybrid electric vehicle in the generator assist scenario, the engine direct drive scenario and the driving motor assist scenario according to the wheel end demand torque, the engine speed and the engine torque;

[0232] draw comprehensive fuel consumption maps of the hybrid electric vehicle in the generator assist scenario, the engine direct drive scenario and the driving motor assist scenario respectively according to the equivalent engine fuel consumption rate, the generator demand torque, the engine demand torque and the driving motor demand torque;

[0233] obtain a parallel working point of the hybrid electric vehicle according to the comprehensive fuel consumption maps, and determine a parallel driving efficiency point of the hybrid electric vehicle.

[0234] In this embodiment, the parallel driving efficiency point calculation sub-unit comprises a demand torque calculation component;

[0235] The demand torque calculation component is configured to determine an engine fuel consumption rate and a generator charging efficiency in the generator assist scenario according to the engine speed and the engine torque, and further determine an equivalent engine fuel consumption rate and a generator demand torque in the generator assist scenario in combination with the wheel end demand torque.

[0236] determining the equivalent engine fuel consumption rate and engine demand torque in the engine direct drive scenario according to the engine speed and engine torque;

[0237] determining the engine fuel consumption rate and drive motor charging efficiency in the drive motor assist scenario according to the engine speed and engine torque, and further determining the equivalent engine fuel consumption rate and drive motor demand torque in the drive motor assist scenario in combination with the wheel end demand torque.

[0238] The energy distribution management module 204 is configured to solve the energy flow model according to the series driving efficiency point and the parallel driving efficiency point, with the minimization of the energy consumption target function as a solving target, to obtain the optimal energy distribution result of the hybrid electric vehicle.

[0239] In this embodiment, the energy distribution management module 204 comprises an energy distribution management unit.

[0240] The energy distribution management unit is configured to construct a discretized SOC state space according to the energy flow model, and determine an SOC feasible region.

[0241] construct an oil consumption matrix according to the series driving efficiency point and the parallel driving efficiency point;

[0242] solve the energy flow model with the minimization of the energy consumption target function as a solving target, in combination with the SOC feasible region and the oil consumption matrix, to obtain an engine optimal torque working range, a generator optimal torque working range, a power distribution optimal proportion, and a mode optimal switching point;

[0243] determine the optimal energy distribution result of the hybrid electric vehicle according to the engine optimal torque working range, the generator optimal torque working range, the power distribution optimal proportion, and the mode optimal switching point.

[0244] The embodiment constructs the energy flow model of the hybrid electric vehicle by the vehicle power demand, the engine fuel consumption and the battery power consumption, so that the energy flow model can accurately represent the energy demand of the hybrid electric vehicle, and then the energy consumption target function is constructed by combining the mileage difference, so that the energy consumption target function can accurately and comprehensively express the energy consumption of the hybrid electric vehicle; then the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle are determined by solving the motor efficiency and the engine efficiency of the hybrid electric vehicle, and then the energy distribution management is realized based on the series drive efficiency point, the parallel drive efficiency point and the energy consumption target function. The energy consumption target function is constructed by the vehicle power demand, the engine fuel consumption, the battery power consumption and the mileage difference, which can comprehensively consider the working efficiency of the hybrid electric vehicle, and improve the accuracy of the energy distribution management of the hybrid electric vehicle; the series drive efficiency point and the parallel drive efficiency point can reduce the solving complexity and the calculation amount of the energy flow model, and comprehensively consider the energy distribution of the hybrid electric vehicle under different working models, so as to improve the efficiency and the accuracy of the energy distribution management of the hybrid electric vehicle.

[0245] In summary, the embodiment constructs the energy flow model of the hybrid electric vehicle by the vehicle power demand, the engine fuel consumption and the battery power consumption, so that the energy flow model can accurately represent the energy demand of the hybrid electric vehicle, and then the energy consumption target function is constructed by combining the mileage difference, so that the energy consumption target function can accurately and comprehensively express the energy consumption of the hybrid electric vehicle; then the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle are determined by solving the motor efficiency and the engine efficiency of the hybrid electric vehicle, and then the energy distribution management is realized based on the series drive efficiency point, the parallel drive efficiency point and the energy consumption target function. The energy consumption target function is constructed by the vehicle power demand, the engine fuel consumption, the battery power consumption and the mileage difference, which can comprehensively consider the working efficiency of the hybrid electric vehicle, and improve the accuracy of the energy distribution management of the hybrid electric vehicle; the series drive efficiency point and the parallel drive efficiency point can reduce the solving complexity and the calculation amount of the energy flow model, and comprehensively consider the energy distribution of the hybrid electric vehicle under different working models, so as to improve the efficiency and the accuracy of the energy distribution management of the hybrid electric vehicle.

[0246] The above-described specific embodiments further illustrate the purpose, technical solutions and beneficial effects of the present application. It should be understood that the above-described specific embodiments are merely examples of the present application and are not intended to limit the protection scope of the present application. It is particularly pointed out that any modification, equivalent replacement, improvement, etc. made by those skilled in the art within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. An energy distribution management method for a hybrid electric vehicle, characterized by, The method comprises the following steps: acquiring working condition data of a hybrid electric vehicle, and acquiring vehicle power demand, engine fuel consumption and battery power consumption according to the working condition data to construct an energy flow model of the hybrid electric vehicle; acquiring a mileage difference of the hybrid electric vehicle according to the working condition data, and constructing an energy consumption target function of the hybrid electric vehicle based on the mileage difference and the energy flow model, comprising: acquiring the mileage difference of the hybrid electric vehicle according to a target vehicle speed; determining a SOC difference of the hybrid electric vehicle according to the battery power consumption in the energy flow model; constructing the energy consumption target function of the hybrid electric vehicle according to the engine fuel consumption in the energy flow model, in combination with the mileage difference and the SOC difference of the hybrid electric vehicle; wherein the energy consumption target function is: ， wherein, is an energy consumption objective function, is an engine fuel consumption, in ; is an engine torque at time t, in ; ; is an engine speed at time t, in ; ; is a SOC difference, in %; is a mileage difference, in , is a time; solving motor efficiency and engine efficiency of the hybrid electric vehicle according to the working condition data of the hybrid electric vehicle, to determine a series driving efficiency point and a parallel driving efficiency point of the hybrid electric vehicle; solving the energy flow model to acquire an optimal energy distribution result of the hybrid electric vehicle, with the energy consumption target function minimized as a solving target according to the series driving efficiency point and the parallel driving efficiency point.

2. The energy distribution management method for a hybrid electric vehicle according to claim 1, characterized by, The method of acquiring working condition data of a hybrid electric vehicle, and acquiring vehicle power demand, engine fuel consumption and battery power consumption according to the working condition data to construct an energy flow model of the hybrid electric vehicle, specifically comprises: acquiring working condition data of a hybrid electric vehicle, wherein the working condition data comprises: target vehicle speed, vehicle mass, vehicle acceleration, battery consumption power and battery operation data; calculating vehicle power demand of the hybrid electric vehicle according to the target vehicle speed, the vehicle mass and the vehicle acceleration; acquiring engine fuel consumption of the hybrid electric vehicle according to the vehicle power demand and the battery consumption power of the hybrid electric vehicle; determining battery power consumption of the hybrid electric vehicle according to the battery operation data and the battery consumption power; constructing the energy flow model of the hybrid electric vehicle according to the vehicle power demand, the engine fuel consumption and the battery power consumption of the hybrid electric vehicle.

3. The energy distribution management method for a hybrid electric vehicle according to claim 2, characterized by, The method of acquiring engine fuel consumption of the hybrid electric vehicle according to the vehicle power demand and the battery consumption power of the hybrid electric vehicle, specifically comprises: The working condition data of the hybrid electric vehicle further comprises: engine fuel consumption rate and engine output power efficiency loss ratio; acquiring working mode of the hybrid electric vehicle, and performing weighted summation on the vehicle power demand and the battery consumption power according to the working mode and the engine output power efficiency loss ratio to acquire engine output power of the hybrid electric vehicle; acquiring engine fuel consumption of the hybrid electric vehicle according to the engine output power and the engine fuel consumption rate of the hybrid electric vehicle.

4. The energy distribution management method for a hybrid electric vehicle according to claim 1, characterized by, The motor efficiency and engine efficiency of the hybrid electric vehicle are solved according to the working condition data of the hybrid electric vehicle, and the series driving efficiency point and the parallel driving efficiency point of the hybrid electric vehicle are determined, and specifically comprising: The motor efficiency of the hybrid electric vehicle includes: generator charging efficiency and driving motor charging efficiency; the engine efficiency of the hybrid electric vehicle includes: engine fuel consumption rate; the working condition data of the hybrid electric vehicle further includes: wheel end demand torque, generator speed and generator torque; According to a preset conversion algorithm, the generator speed and the generator torque are converted to obtain the engine speed and the engine torque; According to the generator speed, the generator torque, the engine speed and the engine torque, the generator charging efficiency and the engine fuel consumption rate are solved to determine the series driving efficiency point of the hybrid electric vehicle; According to the wheel end demand torque, the engine speed and the engine torque, the generator charging efficiency, the driving motor charging efficiency and the engine efficiency are solved to determine the parallel driving efficiency point of the hybrid electric vehicle.

5. The energy distribution management method for a hybrid electric vehicle according to claim 4, characterized by, The motor efficiency and engine efficiency of the hybrid electric vehicle are solved according to the working condition data of the hybrid electric vehicle, and the series driving efficiency point and the parallel driving efficiency point of the hybrid electric vehicle are determined, and specifically comprising: According to the generator speed and the generator torque, a preset generator charging efficiency mapping is queried to obtain the generator charging efficiency of the hybrid electric vehicle in series mode; According to the engine speed and the engine torque, a preset engine universal characteristic map is queried to obtain the engine fuel consumption rate of the hybrid electric vehicle in series mode; According to the generator charging efficiency and the engine fuel consumption rate of the hybrid electric vehicle in series mode, the comprehensive fuel consumption of the hybrid electric vehicle in series mode is determined; According to the comprehensive fuel consumption of the hybrid electric vehicle in series mode, an equal power line graph is drawn, and the series driving efficiency point of the hybrid electric vehicle is determined based on the equal power line graph.

6. The energy distribution management method for a hybrid electric vehicle according to any one of claims 4 or 5, characterized by, The motor efficiency and engine efficiency of the hybrid electric vehicle are solved according to the working condition data of the hybrid electric vehicle, and the series driving efficiency point and the parallel driving efficiency point of the hybrid electric vehicle are determined, and specifically comprising: The parallel driving scene of the hybrid electric vehicle is obtained, wherein the parallel driving scene includes: generator assist scene, engine direct drive scene and driving motor assist scene; According to the wheel end demand torque, the engine speed and the engine torque, the equivalent engine fuel consumption rate, the generator demand torque, the engine demand torque and the driving motor demand torque of the hybrid electric vehicle in the generator assist scene, the engine direct drive scene and the driving motor assist scene are calculated; According to the equivalent engine fuel consumption rate, generator demand torque, engine demand torque and drive motor demand torque, a comprehensive fuel consumption mapping of the hybrid electric vehicle in a generator assist scenario, an engine direct drive scenario and a drive motor assist scenario is drawn respectively; According to the comprehensive fuel consumption mapping, a parallel working point of the hybrid electric vehicle is obtained, and a parallel driving efficiency point of the hybrid electric vehicle is determined.

7. The energy distribution management method for a hybrid electric vehicle according to claim 6, characterized by, The equivalent engine fuel consumption rate, generator demand torque, engine demand torque and drive motor demand torque of the hybrid electric vehicle in the generator assist scenario, the engine direct drive scenario and the drive motor assist scenario are calculated according to the wheel end demand torque, engine speed and engine torque, and specifically include: According to the engine speed and engine torque, the engine fuel consumption rate and generator charging efficiency in the generator assist scenario are determined, and then the equivalent engine fuel consumption rate and generator demand torque in the generator assist scenario are determined in combination with the wheel end demand torque; According to the engine speed and engine torque, the equivalent engine fuel consumption rate and engine demand torque in the engine direct drive scenario are determined; According to the engine speed and engine torque, the engine fuel consumption rate and drive motor charging efficiency in the drive motor assist scenario are determined, and then the equivalent engine fuel consumption rate and drive motor demand torque in the drive motor assist scenario are determined in combination with the wheel end demand torque.

8. The energy distribution management method for a hybrid electric vehicle according to claim 1, characterized by, The energy flow model is solved according to the series driving efficiency point and the parallel driving efficiency point, with the minimization of the energy consumption objective function as the solving target, to obtain the optimal energy distribution result of the hybrid electric vehicle, and specifically includes: A discretized SOC state space is constructed according to the energy flow model, and an SOC feasible region is determined; An oil consumption matrix is constructed according to the series driving efficiency point and the parallel driving efficiency point; The energy flow model is solved with the minimization of the energy consumption objective function as the solving target, in combination with the SOC feasible region and the oil consumption matrix, to obtain an engine optimal torque working range, a generator optimal torque working range, a power distribution optimal proportion and a mode optimal switching point; The optimal energy distribution result of the hybrid electric vehicle is determined according to the engine optimal torque working range, the generator optimal torque working range, the power distribution optimal proportion and the mode optimal switching point.

9. An energy distribution management device for a hybrid electric vehicle, characterized by comprising: It includes: An energy flow model acquisition module, an energy consumption objective function construction module, a series-parallel driving efficiency point calculation module and an energy distribution management module; The energy flow model acquisition module is used to acquire working condition data of a hybrid electric vehicle, and to acquire vehicle power demand, engine fuel consumption and battery power consumption according to the working condition data, so as to construct an energy flow model of the hybrid electric vehicle. The energy consumption objective function construction module is configured to acquire a mileage difference of the hybrid electric vehicle according to the working condition data, and construct an energy consumption objective function of the hybrid electric vehicle based on the mileage difference and an energy flow model; the energy consumption objective function construction module comprises an energy consumption objective function construction unit; the energy consumption objective function construction unit is configured to acquire a mileage difference of the hybrid electric vehicle according to a target vehicle speed, determine a SOC difference of the hybrid electric vehicle according to a battery power consumption in the energy flow model, and construct the energy consumption objective function of the hybrid electric vehicle according to an engine fuel consumption in the energy flow model, in combination with the mileage difference and the SOC difference of the hybrid electric vehicle; wherein the energy consumption objective function is: ， in, Let the energy consumption objective function be... Engine fuel consumption, in units of ; for Engine torque at any given time, in units of ; for Engine speed at any given time, in units of ; This represents the SOC difference, expressed in % %. This is the mileage difference, in units of , For time; The series-parallel driving efficiency point calculation module is configured to solve the motor efficiency and the engine efficiency of the hybrid electric vehicle according to the working condition data of the hybrid electric vehicle, and determine series driving efficiency points and parallel driving efficiency points of the hybrid electric vehicle; The energy distribution management module is configured to solve the energy flow model with minimization of the energy consumption objective function as a solution target according to the series driving efficiency points and the parallel driving efficiency points, and acquire an optimal energy distribution result of the hybrid electric vehicle.

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