Energy distribution management method and device for hybrid electric vehicle

Abstract

The invention discloses an energy distribution management method and device for a hybrid electric vehicle, and relates to the technical field of vehicle power control. According to the method, the energy flow model of the hybrid electric vehicle is constructed, the energy consumption objective function is constructed by combining the mileage difference value, and then the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle are determined; and realizing energy distribution management based on the series drive efficiency point, the parallel drive efficiency point and the energy consumption objective function. By constructing the energy consumption objective function, the working efficiency of the hybrid electric vehicle can be comprehensively considered, and the accuracy of energy distribution management of the hybrid electric vehicle is improved; 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, the energy distribution conditions of the hybrid electric vehicle under different working models are comprehensively considered, and the efficiency and the accuracy of energy distribution management of the hybrid electric vehicle are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of automobile power control, and in particular relates to an energy distribution management method and device for a hybrid electric vehicle. Background Art

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

[0003] At present, the energy distribution management strategies of hybrid electric vehicles include global optimization strategy, intelligent management strategy, rule-based energy management strategy, etc. Among them, although the calculation efficiency of the rule-based energy management strategy is high, it is based on the formulated rules for energy management, which leads to low accuracy of energy distribution management; and the energy management strategy based on optimization is divided into global optimization and transient optimization. The use of global optimal control strategy requires a large amount of calculation, resulting in low efficiency of energy distribution management. If transient optimization is used for energy management and distribution, it is usually calibrated and optimized according to the engine's optimal economic line. It does not fully consider the efficiency of the drive system, which makes the transient optimization appear to lose sight of one thing while focusing on another, resulting in repeated energy distribution management work and low efficiency. Therefore, there is an urgent need for a hybrid electric vehicle energy distribution management method and device to solve the defects of the prior art. Summary of the invention

[0004] The present invention aims to provide a method and device for energy distribution management of a hybrid electric vehicle to solve the above-mentioned technical problems. By constructing an energy flow model and calculating the series drive efficiency point and the parallel drive efficiency point, the energy distribution management of the hybrid electric vehicle is realized, thereby improving the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides an energy distribution management method for a hybrid electric vehicle, comprising:

[0006] Acquiring operating data of the hybrid electric vehicle, and acquiring vehicle power demand, engine fuel consumption, and battery power consumption according to the operating data, so as to construct an energy flow model of the hybrid electric vehicle;

[0007] Acquire the mileage difference of the hybrid electric vehicle according to the operating condition data, and construct an energy consumption objective function of the hybrid electric vehicle based on the mileage difference and an energy flow model;

[0008] Solving the motor efficiency and the engine efficiency of the hybrid electric vehicle according to the operating condition data of the hybrid electric vehicle to determine the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle;

[0009] According to the series drive efficiency point and the parallel drive efficiency point, the energy flow model is solved with minimization of the energy consumption objective function as a solution goal to obtain an optimal energy distribution result of the hybrid electric vehicle.

[0010] It can be understood that, compared with the prior art, the present invention constructs the energy flow model of the hybrid electric vehicle through the whole 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 construct the energy consumption objective function in combination with the mileage difference, so that the energy consumption objective function can accurately and comprehensively express the energy consumption of the hybrid electric vehicle; then, by solving the motor efficiency and engine efficiency of the hybrid electric vehicle, the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle are determined, and then the energy distribution management is realized based on the series drive efficiency point, the parallel drive efficiency point and the energy consumption objective function. The present invention constructs the energy consumption objective function through the whole 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 improve 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 solution complexity and 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.

[0011] As a preferred solution, the method of obtaining the operating data of the hybrid electric vehicle and obtaining the vehicle power demand, engine fuel consumption and battery power consumption according to the operating data to construct an energy flow model of the hybrid electric vehicle specifically includes:

[0012] Acquiring operating data of the hybrid electric vehicle, wherein the operating data includes: target vehicle speed, vehicle mass, vehicle acceleration, battery power consumption, and battery operation data;

[0013] Calculating the vehicle power requirement of the hybrid electric vehicle according to the vehicle target speed, vehicle mass and vehicle acceleration;

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

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

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

[0017] This preferred solution constructs an energy flow model of a hybrid electric vehicle through the vehicle power demand, engine fuel consumption and 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, thereby improving the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0018] As a preferred solution, the step of obtaining the engine fuel consumption of the hybrid electric vehicle according to the vehicle power demand and battery power consumption of the hybrid electric vehicle specifically includes:

[0019] The operating data of the hybrid electric vehicle also 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 of the vehicle power demand and the battery power consumption 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] 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.

[0022] This preferred solution obtains more accurate engine output power based on the working mode of the hybrid electric vehicle, thereby obtaining 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 solution, the step of obtaining the mileage difference of the hybrid electric vehicle according to the operating condition data, and constructing the energy consumption objective function of the hybrid electric vehicle based on the mileage difference and an energy flow model, specifically includes:

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

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

[0026] According to the engine fuel consumption in the energy flow model, combined with the mileage difference and SOC difference of the hybrid electric vehicle, the energy consumption objective function of the hybrid electric vehicle is constructed; wherein the energy consumption objective function is:

[0027]

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

[0029] This preferred solution constructs the energy consumption objective function of the hybrid electric vehicle through the energy flow model and mileage difference, so that the energy consumption objective 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 solution, solving the motor efficiency and engine efficiency of the hybrid electric vehicle according to the operating data of the hybrid electric vehicle to determine the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle specifically includes:

[0031] The motor efficiency of the hybrid electric vehicle includes: the generator charging efficiency and the drive motor charging efficiency; the engine efficiency of the hybrid electric vehicle includes: the engine fuel consumption rate; the operating condition data of the hybrid electric vehicle also includes: the wheel end required torque, the generator speed and the generator torque;

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

[0033] 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 to determine the series drive efficiency point of the hybrid electric vehicle;

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

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

[0036] As a preferred solution, 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 to determine the series drive efficiency point of the hybrid electric vehicle specifically includes:

[0037] Querying a preset generator charging efficiency map according to the generator speed and the generator torque to obtain the generator charging efficiency of the hybrid electric vehicle in the series mode;

[0038] querying a preset engine universal characteristic diagram according to the engine speed and the engine torque to obtain the engine fuel consumption rate of the hybrid electric vehicle in the series mode;

[0039] Determining the 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;

[0040] According to the comprehensive fuel consumption of the hybrid electric vehicle in the series mode, an isopower line diagram is drawn, and the series driving efficiency point of the hybrid electric vehicle is determined based on the isopower line diagram.

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

[0042] As a preferred solution, solving the generator charging efficiency, the drive motor charging efficiency and the engine efficiency according to the wheel end required torque, the engine speed and the engine torque to determine the parallel drive efficiency point of the hybrid electric vehicle specifically includes:

[0043] Acquire a parallel driving scenario of the hybrid electric vehicle, wherein the parallel driving scenario includes: a generator assisting scenario, an engine direct driving scenario, and a drive motor assisting scenario;

[0044] Calculate the equivalent engine fuel consumption rate, generator required torque, engine required torque and drive motor required torque of the hybrid electric vehicle in a generator-assisted scenario, an engine direct-drive scenario and a drive motor-assisted scenario according to the wheel-end required torque, the engine speed and the engine torque;

[0045] According to the equivalent engine fuel consumption rate, the generator required torque, the engine required torque and the drive motor required torque, respectively draw a comprehensive fuel consumption map of the hybrid electric vehicle in a generator-assisted scenario, an engine direct-drive scenario and a drive motor-assisted scenario;

[0046] The parallel operating point of the hybrid electric vehicle is acquired according to the comprehensive fuel consumption map, and the parallel driving efficiency point of the hybrid electric vehicle is determined.

[0047] This preferred solution determines the parallel drive efficiency point of the hybrid electric vehicle by solving the charging efficiency of the generator, the charging efficiency of the drive motor and the engine efficiency of the hybrid electric vehicle. It can reduce the complexity and amount of solving the energy flow model, comprehensively consider the energy distribution of the hybrid electric vehicle under different working models, and improve the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0048] As a preferred solution, 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 assisting scenario, engine direct driving scenario and drive motor assisting scenario are calculated according to the wheel end required torque, engine speed and engine torque, specifically including:

[0049] Determine the engine fuel consumption rate and the generator charging efficiency in the generator-assisted scenario according to the engine speed and the engine torque, and then determine the equivalent engine fuel consumption rate and the generator required torque in the generator-assisted scenario in combination with the wheel-end required torque;

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

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

[0052] This preferred solution can obtain the working data of hybrid electric vehicles in different scenarios through the wheel-end required torque, engine speed and engine torque, and can obtain more accurate equivalent engine fuel consumption rate, generator required torque, engine required torque and drive motor required torque, thereby improving the accuracy of solving the parallel drive efficiency point of hybrid electric vehicles, thereby improving the efficiency and accuracy of energy distribution management of hybrid electric vehicles.

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

[0054] Constructing a discretized SOC state space according to the energy flow model and determining a SOC feasible region;

[0055] Constructing a fuel consumption matrix according to the series drive efficiency point and the parallel drive efficiency point;

[0056] Taking minimization of the energy consumption objective function as the solution goal, the energy flow model is solved in combination with the SOC feasible domain and the fuel consumption matrix to obtain the optimal torque operating range of the engine, the optimal torque operating range of the generator, the optimal power distribution ratio, and the optimal mode switching point;

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

[0058] This preferred scheme solves the energy flow model by connecting the driving efficiency points in series and the driving efficiency points in parallel, with the minimization of the energy consumption objective function as the solution goal, thereby reducing the solution complexity and calculation amount of the energy flow model, comprehensively considering the energy distribution of hybrid electric vehicles under different working models, and improving the efficiency and accuracy of energy distribution management of hybrid electric vehicles.

[0059] Accordingly, an embodiment of the present invention provides an energy distribution management device for a hybrid electric vehicle, comprising: an energy flow model acquisition module, an energy consumption objective function construction module, a series-parallel drive efficiency point calculation module, and an energy distribution management module;

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

[0061] The energy consumption objective function building module is used to obtain the mileage difference of the hybrid electric vehicle according to the operating condition data, and build the energy consumption objective function of the hybrid electric vehicle based on the mileage difference and the energy flow model;

[0062] The series-parallel driving efficiency point calculation module is used to solve the motor efficiency and engine efficiency of the hybrid electric vehicle according to the operating 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;

[0063] The energy distribution management module is used to solve the energy flow model according to the series drive efficiency point and the parallel drive efficiency point, taking minimization of the energy consumption objective function as a solution goal, and obtain the optimal energy distribution result of the hybrid electric vehicle.

[0064] It can be understood that, compared with the prior art, the present device constructs the energy flow model of the hybrid electric vehicle through the 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 constructs the energy consumption objective function in combination with the mileage difference, so that the energy consumption objective function can accurately and comprehensively express the energy consumption of the hybrid electric vehicle; then, by solving the motor efficiency and engine efficiency of the hybrid electric vehicle, the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle are determined, and then the energy distribution management is realized based on the series drive efficiency point, the parallel drive efficiency point and the energy consumption objective function. The present device constructs the energy consumption objective function through the 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 improve 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 solution complexity and 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 : A flow chart of the steps of an energy distribution management method for a hybrid electric vehicle provided by an embodiment of the present invention;

[0066] Figure 2 : A schematic diagram of a test condition curve provided by an embodiment of the present invention;

[0067] Figure 3 : A schematic diagram of an optimal point of series drive efficiency provided by an embodiment of the present invention;

[0068] Figure 4 : A schematic diagram of an optimal point of parallel drive efficiency provided by an embodiment of the present invention;

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

[0070] Among them, 201: energy flow model acquisition module; 202: energy consumption target function construction module; 203: series-parallel drive efficiency point calculation module; 204: energy distribution management module. DETAILED DESCRIPTION

[0071] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0072] It should be noted that in hybrid electric vehicles, the motors include: generators (P1 motors) and drive motors (P3 motors). Generators are usually used to convert mechanical energy generated by the engine into electrical energy; drive motors are usually used to convert electrical energy into mechanical energy, thereby driving the vehicle forward.

[0073] Please refer to Figure 1 , is a flow chart of the steps of an energy distribution management method for a hybrid electric vehicle provided by an embodiment of the present invention, including steps S101 to S104.

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

[0075] In this embodiment, the process of acquiring the operating data of the hybrid electric vehicle and acquiring the vehicle power demand, engine fuel consumption and battery power consumption according to the operating data to construct an energy flow model of the hybrid electric vehicle specifically includes:

[0076] Acquiring operating data of the hybrid electric vehicle, wherein the operating data includes: target vehicle speed, vehicle mass, vehicle acceleration, battery power consumption, and battery operation data;

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

[0078] Obtaining the engine fuel consumption of the hybrid electric vehicle according to the vehicle power demand and battery power consumption of the hybrid electric vehicle;

[0079] determining the battery power consumption of the hybrid electric vehicle according to the battery operation data and the battery power consumption;

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

[0081] This embodiment constructs an energy flow model of a hybrid electric vehicle through the vehicle power demand, engine fuel consumption and 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, thereby improving the efficiency and accuracy of energy distribution management of the hybrid electric vehicle.

[0082] Please refer to Figure 2 , is a schematic diagram of a test condition curve provided in an embodiment of the present invention.

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

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

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

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

[0087]

[0088] P 整车 =V i ×F轮端 (2);

[0089] Among them, F 轮端 is the vehicle driving resistance, in N; P 整车 is the vehicle power requirement, in kW; f 0 is the zero-order coefficient of the vehicle drag coefficient, f 1 is the first-order coefficient of the vehicle resistance coefficient, f 2 is the quadratic coefficient of the vehicle drag coefficient; v i For the vehicle at t i The target vehicle speed at the time, in km / h; mass is the vehicle mass, in kg; a i For the vehicle at t i The vehicle acceleration at the moment, in m / s 2 .

[0090] It should be noted that f 0 、f 1 、f 2 Both are the vehicle's sliding resistance coefficients, which can be obtained through GB / T12536 testing.

[0091] In this embodiment, obtaining the engine fuel consumption of the hybrid electric vehicle according to the vehicle power demand and battery power consumption of the hybrid electric vehicle specifically includes:

[0092] The operating data of the hybrid electric vehicle also includes: engine fuel consumption rate and engine output power efficiency loss ratio;

[0093] Acquire the working mode of the hybrid electric vehicle, and perform weighted summation of the vehicle power demand and the battery power consumption according to the working mode and the engine output power efficiency loss ratio to acquire 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, performing weighted summation of 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 specifically includes:

[0096] The working modes include: hybrid mode charging, hybrid mode discharging, hybrid mode neither charging nor discharging, and pure electric mode;

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

[0098] P Egine =(P 整车 +η 2 ×P batt ) / η 1 (3);

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

[0100] P Egine =(P 整车 -η 2 ×P batt ) / η 1 (4);

[0101] When the hybrid mode is not charged or discharged, the calculation formula of the engine output power of the hybrid electric vehicle is as follows:

[0102] P Egine =P 整车 / η 1 (5);

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

[0104] P Egine =0 (6);

[0105] In formulas (3) to (6), P Egine is the engine output power, in kW; P 整车 is the vehicle power requirement, in kW; P batt is the battery power consumption, in kW; η 1 is the power output efficiency of the engine, ranging from 0 to 1; η 2 The discharge power efficiency of the battery, ranging from 0 to 1.

[0106] In an optional embodiment, the obtaining 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 specifically includes:

[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 specific calculation formula is:

[0108]

[0109] Where, M is the engine fuel consumption, in g / h; FC is the engine fuel consumption rate, in g / (kW·h); P Egineis the engine output power in kW.

[0110] This embodiment obtains more accurate engine output power based on the working mode of the hybrid electric vehicle, thereby obtaining 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.

[0111] In this embodiment, determining the battery power consumption of the hybrid electric vehicle according to the battery operation data and the battery power consumption specifically includes:

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

[0113] Calculating the battery current according to the battery open circuit voltage and the battery internal resistance;

[0114] The battery current is integrated in a time dimension to determine the battery power consumption of the hybrid electric vehicle.

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

[0116]

[0117]

[0118] Soc k+1 =Soc k -ΔSoc k (10);

[0119] Where I is the battery current in A; U oc is the open circuit voltage of the battery, in U; ​​R 0 is the internal resistance of the battery, in Ω; P batt is the battery power consumption, in kW; ΔSoc k is the battery power consumption at time k, in %.

[0120] This embodiment obtains more accurate battery power consumption by analyzing and solving the battery operation data, 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: acquiring the mileage difference of the hybrid electric vehicle according to the operating condition data, and constructing an energy consumption objective function of the hybrid electric vehicle based on the mileage difference and an energy flow model.

[0122] In this embodiment, the step of obtaining the mileage difference of the hybrid electric vehicle according to the operating condition data and constructing the energy consumption objective function of the hybrid electric vehicle based on the mileage difference and the energy flow model specifically includes:

[0123] Acquire the mileage difference of the hybrid electric vehicle according to the target vehicle speed;

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

[0125] According to the engine fuel consumption in the energy flow model, combined with the mileage difference and SOC difference of the hybrid electric vehicle, the energy consumption objective function of the hybrid electric vehicle is constructed; wherein the energy consumption objective function is:

[0126]

[0127] Where J is the energy consumption objective function, M is the engine fuel consumption, in g / h; T k is the engine torque at time k, in Nm; N k is the engine speed at time k, in rpm; ΔSOC is the SOC difference, in %; Δs is the mileage difference, in km, and K is time.

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

[0129] In an optional embodiment, obtaining the mileage difference of the hybrid electric vehicle according to the target vehicle speed specifically includes:

[0130] Obtaining a target mileage of the hybrid electric vehicle according to a target vehicle speed;

[0131] The current mileage of the hybrid electric vehicle is obtained, and a difference is calculated between the current mileage and the target mileage to obtain the mileage difference of the hybrid electric vehicle. The calculation formula of the target mileage is specifically as follows:

[0132]

[0133] Among them, s i For the vehicle at t i The target mileage at the moment, in km, v i For the vehicle at t i The target vehicle speed at the moment, in km / h.

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

[0135] Soc min ≤Soc(k)≤Soc max (13);

[0136] P batt,min ≤P batt (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 formulas (13) to (18), Soc min and Soc max are the battery capacity allowed by the battery, in %; P batt,min and P batt,max is the upper and lower limits of battery power consumption, in kW; T eng,min and T eng，max They are the upper and lower limits of the engine torque, in Nm; N eng，min and N eng,max are the upper and lower limits of the engine speed, in rpm; T mont,min and T mont,max They are the upper and lower limits of the motor torque, in Nm; N mont,min and N mont,max are the upper and lower limits of the motor speed, in rpm; 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; the motor torque includes: the generator torque and the driving motor torque.

[0144] This embodiment constructs the energy consumption objective function of the hybrid electric vehicle through the energy flow model and the mileage difference, so that the energy consumption objective 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 operating data of the hybrid electric vehicle to determine the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle.

[0146] In this embodiment, solving the motor efficiency and the engine efficiency of the hybrid electric vehicle according to the operating data of the hybrid electric vehicle to determine the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle specifically includes:

[0147] The motor efficiency of the hybrid electric vehicle includes: the generator charging efficiency and the drive motor charging efficiency; the engine efficiency of the hybrid electric vehicle includes: the engine fuel consumption rate; the operating condition data of the hybrid electric vehicle also includes: the wheel end required 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] 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 to determine the series drive efficiency point of the hybrid electric vehicle;

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

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

[0152]

[0153] Among them, T e is the engine torque, n e is the engine speed, T m1 is the motor torque, nm1 is the motor speed; the motor torque includes: generator torque and drive motor torque; the motor speed includes: generator speed and drive motor speed.

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

[0155] In this embodiment, 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 to determine the series drive efficiency point of the hybrid electric vehicle specifically includes:

[0156] Querying a preset generator charging efficiency map according to the generator speed and the generator torque to obtain the generator charging efficiency of the hybrid electric vehicle in the series mode;

[0157] querying a preset engine universal characteristic diagram according to the engine speed and the engine torque to obtain the engine fuel consumption rate of the hybrid electric vehicle in the series mode;

[0158] Determining the 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;

[0159] According to the comprehensive fuel consumption of the hybrid electric vehicle in the series mode, an isopower line diagram is drawn, and the series driving efficiency point of the hybrid electric vehicle is determined based on the isopower line diagram.

[0160] In an optional embodiment, the generator speed is used as the range extender speed, and the generator torque is used as the range extender torque. Then, a preset generator charging efficiency map (i.e., the charging efficiency Map 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, a 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, and then equal power lines are 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 operating point at that power, i.e., the series drive efficiency point of the hybrid electric vehicle.

[0161] In particular, this embodiment uses the point with the lowest comprehensive fuel consumption as the series drive efficiency point, and the experimenter can use other working points as the series drive efficiency points according to specific actual needs.

[0162] In an alternative embodiment, please refer to Figure 3 , which is a schematic diagram of an optimal point of series drive efficiency provided by an embodiment of the present invention; the horizontal axis is the range extender speed, in rpm, and the vertical axis is the range extender torque, in Nm; Figure 3 The schematic diagram can obtain the point with the lowest comprehensive fuel consumption on each equal power line according to the range extender speed and the range extender torque.

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

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

[0165] Acquire a parallel driving scenario of the hybrid electric vehicle, wherein the parallel driving scenario includes: a generator assisting scenario, an engine direct driving scenario, and a drive motor assisting scenario;

[0166] Calculate the equivalent engine fuel consumption rate, generator required torque, engine required torque and drive motor required torque of the hybrid electric vehicle in a generator-assisted scenario, an engine direct-drive scenario and a drive motor-assisted scenario according to the wheel-end required torque, the engine speed and the engine torque;

[0167] According to the equivalent engine fuel consumption rate, the generator required torque, the engine required torque and the drive motor required torque, respectively draw a comprehensive fuel consumption map of the hybrid electric vehicle in a generator-assisted scenario, an engine direct-drive scenario and a drive motor-assisted scenario;

[0168] The parallel operating point of the hybrid electric vehicle is acquired according to the comprehensive fuel consumption map, and the parallel driving efficiency point of the hybrid electric vehicle is determined.

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

[0170] In this embodiment, 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 assisting scenario, engine direct driving scenario and drive motor assisting scenario are calculated according to the wheel end required torque, engine speed and engine torque, specifically including:

[0171] Determine the engine fuel consumption rate and the generator charging efficiency in the generator-assisted scenario according to the engine speed and the engine torque, and then determine the equivalent engine fuel consumption rate and the generator required torque in the generator-assisted scenario in combination with the wheel-end required torque;

[0172] Determining an equivalent engine fuel consumption rate and an engine required torque in the engine direct drive scenario according to the engine speed and the engine torque;

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

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

[0175]

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

[0177] T motor =(T req -T engine / i)×R 1 (twenty three);

[0178] In formulas (21) to (23), be total is the equivalent engine fuel consumption rate, in g / (kW·h); be is the engine fuel consumption rate, in g / (kW·h); r is the torque ratio of the engine allocated to the generator or drive motor; Tgen T is the required torque of the generator, in Nm; engine is the engine torque, in Nm; i is the engine direct drive ratio; R is the speed ratio between the engine and the generator; T motor is the required torque of the driving motor, in Nm; R 1 is the speed ratio between the drive motor and the engine; η is the engine output power efficiency value, ranging from 0 to 1.

[0179] In an optional embodiment, when the generator assists, that is, when the P1 motor assists, the preset engine universal characteristic diagram is queried according to the engine speed and engine torque to obtain the corresponding engine fuel consumption rate be 1 Then, according to formula (20), the engine speed and engine torque are converted into generator speed and generator torque. Then, according to the generator speed and generator torque, the preset generator charging efficiency map (i.e., the charging efficiency map of the P1 motor) is queried to obtain the generator charging efficiency. According to the generator charging efficiency, the torque ratio of the engine to the generator (i.e., the P1 motor) is determined as r. 1 , and then the torque ratio of the engine to the wheel end torque is 1-r 1 ; Then the engine fuel consumption rate be 1 , engine torque, and wheel-end required torque are substituted into formula (21) and formula (22) to obtain the equivalent engine fuel consumption rate and generator required torque in the generator-assisted scenario.

[0180] In an optional embodiment, when in the engine direct drive scenario, the engine torque is used as the engine required torque, and the preset engine universal characteristic diagram is queried according to the engine speed and engine torque to obtain the corresponding engine fuel consumption rate, which is used as the equivalent engine fuel consumption rate in the engine direct drive scenario.

[0181] In an optional embodiment, when the driving motor assists the scene, that is, when the P3 motor assists, the preset engine universal characteristic diagram is queried according to the engine speed and engine torque to obtain the corresponding engine fuel consumption rate be 2 Then, according to formula (20), the engine speed and engine torque are converted into the drive motor speed and drive motor torque. Then, according to the drive motor speed and drive motor torque, the preset drive motor charging efficiency map (i.e., the charging efficiency map of the P3 motor) is queried to obtain the drive motor charging efficiency. According to the drive motor charging efficiency, the torque ratio allocated to the drive motor is determined as r. 2 , the torque ratio allocated to the engine is 1-r 2 ; Then the engine fuel consumption rate be 2, engine torque, and wheel-end required torque are substituted into formula (21) and formula (23) to obtain the equivalent engine fuel consumption rate and generator required torque in the drive motor assist scenario.

[0182] In an alternative embodiment, please refer to Figure 4 , which is a schematic diagram of an optimal point of parallel drive efficiency provided by an embodiment of the present invention; wherein, according to 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 assisting scenario, the engine direct driving scenario and the drive motor assisting scenario, the parallel engine operating point of the hybrid electric vehicle in the vehicle speed range of 70km / h to 140km / h is calculated, and then a comprehensive fuel consumption map at different vehicle speeds is drawn at intervals of 5km / h (i.e., a comprehensive fuel consumption Map map, such as Figure 4 As shown, the horizontal axis is the required torque and the vertical axis is the engine torque), the parallel working point is found point by point from the required torque of 0 to 1200Nm on the comprehensive fuel consumption map, and then the parallel direct drive boundary and the engine torque corresponding to the motor assisting the motor in generating electricity in the parallel mode are obtained through the parallel working point, and then the parallel drive efficiency point of the hybrid electric vehicle is obtained.

[0183] In particular, this embodiment uses the point with the lowest comprehensive fuel consumption as the parallel drive efficiency point, and the experimenter can use other working points as the parallel drive efficiency points according to specific actual needs.

[0184] This embodiment can obtain the working data of the hybrid electric vehicle in different scenarios through the wheel-end required torque, engine speed and engine torque, and can obtain more accurate equivalent engine fuel consumption rate, generator required torque, engine required torque and drive motor required torque, thereby improving the accuracy of solving the parallel drive efficiency point of the hybrid electric vehicle, and thus improving the efficiency and accuracy of the energy distribution management of the hybrid electric vehicle.

[0185] Step S104: according to the series drive efficiency point and the parallel drive efficiency point, the energy flow model is solved with minimization of the energy consumption objective function as the solution goal to obtain the optimal energy distribution result of the hybrid electric vehicle.

[0186] In this embodiment, according to the series drive efficiency point and the parallel drive efficiency point, the energy flow model is solved with minimization of the energy consumption objective function as the solution target to obtain 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 a SOC feasible region;

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

[0189] Taking minimization of the energy consumption objective function as the solution goal, the energy flow model is solved in combination with the SOC feasible domain and the fuel consumption matrix to obtain the optimal torque operating range of the engine, the optimal torque operating range of the generator, the optimal power distribution ratio, and the optimal mode switching point;

[0190] The optimal energy distribution result of the hybrid electric vehicle is determined according to the optimal torque operating range of the engine, the optimal torque operating range of the generator, the optimal power distribution ratio, and the optimal mode switching point.

[0191] In an optional embodiment, this embodiment can solve the energy flow model through the DP algorithm, wherein the solution process of the DP algorithm specifically includes: firstly, constructing a discretized SOC state space according to the energy flow model, setting the initial and terminal SOC values, as well as the maximum and minimum SOC values, and constraining the number of SOC discrete points at each moment, calculating the required power at each moment and the maximum power that the motor can generate, and comparing the motor required power with the motor maximum power, taking the minimum value, calculating the change value of SOC at each moment, thereby determining the SOC feasible domain; then, constructing a fuel consumption matrix in combination with the series drive efficiency point and the parallel drive efficiency point, and determining the i-th moment and the i-th geographic location. The fuel consumption from the i-th state point at the position to the j-th moment or the k-th state point at the j-th geographical location, and the corresponding control variables are stored in the corresponding three-dimensional control variable matrix (i.e., the fuel consumption matrix); then the energy consumption objective function is minimized as the solution goal, that is, the cumulative fuel consumption from each moment k to the terminal state is minimized, the initial and final soc changes are minimized, and the travel distance change is minimized as the planning goal. The recursive call method is used to reverse the planning from the terminal state to the initial state to solve the optimal SOC trajectory and control sequence, and finally the optimal torque operating range of the engine, the optimal torque operating range of the generator, the optimal power distribution ratio, and the optimal mode 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. It is often used in the global planning of hybrid electric vehicles and currently has relatively mature application technologies. The above optional embodiments are only adaptive descriptions and will not be elaborated on.

[0193] This embodiment solves the energy flow model by connecting the driving efficiency points in series and the driving efficiency points in parallel, with the minimization of the energy consumption objective function as the solution goal, thereby reducing the solution complexity and calculation amount of the energy flow model, comprehensively considering the energy distribution of hybrid electric vehicles under different working models, and improving the efficiency and accuracy of energy distribution management of hybrid electric vehicles.

[0194] This embodiment constructs the energy flow model of the hybrid electric vehicle through the whole 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 constructs the energy consumption objective function in combination with the mileage difference, so that the energy consumption objective function can accurately and comprehensively express the energy consumption of the hybrid electric vehicle; then, by solving the motor efficiency and engine efficiency of the hybrid electric vehicle, the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle are determined, and then the energy distribution management is realized based on the series drive efficiency point, the parallel drive efficiency point and the energy consumption objective function. This embodiment constructs the energy consumption objective function through the whole 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 improve 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 solution complexity and 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 2

[0196] Please refer to Figure 5 , is a schematic diagram of the structure of an energy distribution management device for a hybrid electric vehicle provided by an embodiment of the present invention, 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 operating data of the hybrid electric vehicle, and acquire the vehicle power demand, engine fuel consumption and battery power consumption according to the operating data to construct the energy flow model of the hybrid electric vehicle.

[0198] In this embodiment, the energy flow model acquisition module 201 includes: an energy flow model acquisition unit;

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

[0200] Calculating the vehicle power requirement of the hybrid electric vehicle according to the vehicle target speed, vehicle mass and vehicle acceleration;

[0201] Obtaining the engine fuel consumption of the hybrid electric vehicle according to the vehicle power demand and battery power consumption of the hybrid electric vehicle;

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

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

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

[0205] The engine fuel consumption acquisition subunit is used for the operating condition data of the hybrid electric vehicle and further includes: engine fuel consumption rate and engine output power efficiency loss ratio;

[0206] Acquire the working mode of the hybrid electric vehicle, and perform weighted summation of the vehicle power demand and the battery power consumption according to the working mode and the engine output power efficiency loss ratio to acquire the engine output power of the hybrid electric vehicle;

[0207] 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.

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

[0209] In the battery power consumption acquisition subunit, the battery operation data includes: battery open circuit voltage and battery internal resistance;

[0210] The battery power consumption acquisition subunit is used to calculate the battery current according to the battery open circuit voltage and the battery internal resistance; integrate the battery current in the time dimension to determine the battery power consumption of the hybrid electric vehicle.

[0211] The energy consumption objective function building module 202 is used to obtain the mileage difference of the hybrid electric vehicle according to the operating condition data, and build the energy consumption objective function of the hybrid electric vehicle based on the mileage difference and an energy flow model.

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

[0213] The energy consumption objective function construction unit is used to obtain the mileage difference of the hybrid electric vehicle according to the target vehicle speed of the whole vehicle;

[0214] Determining the 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 SOC difference of the hybrid electric vehicle, the energy consumption objective function of the hybrid electric vehicle is constructed; wherein the energy consumption objective function is:

[0216]

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

[0218] The series-parallel driving efficiency point calculation module 203 is used to solve the motor efficiency and engine efficiency of the hybrid electric vehicle according to the operating 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 drive efficiency point calculation unit, the motor efficiency of the hybrid electric vehicle includes: generator charging efficiency and drive motor charging efficiency; the engine efficiency of the hybrid electric vehicle includes: engine fuel consumption rate; the operating condition data of the hybrid electric vehicle also includes: wheel end demand torque, generator speed and generator torque;

[0221] The series-parallel drive efficiency point calculation unit is used 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] 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 to determine the series drive efficiency point of the hybrid electric vehicle;

[0223] The generator charging efficiency, the drive motor charging efficiency and the engine efficiency are solved according to the wheel end required torque, the engine speed and the engine torque to determine the parallel driving efficiency point of the hybrid electric vehicle.

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

[0225] The series drive efficiency point calculation subunit is used to query a preset generator charging efficiency map according to the generator speed and the generator torque to obtain the generator charging efficiency of the hybrid electric vehicle in the series mode;

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

[0227] Determining the 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] According to the comprehensive fuel consumption of the hybrid electric vehicle in the series mode, an isopower line diagram is drawn, and the series driving efficiency point of the hybrid electric vehicle is determined based on the isopower line diagram.

[0229] In this embodiment, the series-parallel driving efficiency point calculation unit includes: a parallel driving efficiency point calculation subunit;

[0230] The parallel drive efficiency point calculation subunit is used to obtain the parallel drive scenario of the hybrid electric vehicle, wherein the parallel drive scenario includes: a generator assist scenario, an engine direct drive scenario and a drive motor assist scenario;

[0231] Calculate the equivalent engine fuel consumption rate, generator required torque, engine required torque and drive motor required torque of the hybrid electric vehicle in a generator-assisted scenario, an engine direct-drive scenario and a drive motor-assisted scenario according to the wheel-end required torque, the engine speed and the engine torque;

[0232] According to the equivalent engine fuel consumption rate, the generator required torque, the engine required torque and the drive motor required torque, respectively draw a comprehensive fuel consumption map of the hybrid electric vehicle in a generator-assisted scenario, an engine direct-drive scenario and a drive motor-assisted scenario;

[0233] The parallel operating point of the hybrid electric vehicle is acquired according to the comprehensive fuel consumption map, and the parallel driving efficiency point of the hybrid electric vehicle is determined.

[0234] In this embodiment, the parallel drive efficiency point calculation subunit includes: a required torque calculation component;

[0235] The required torque calculation component is used to determine the engine fuel consumption rate and the generator charging efficiency in the generator-assisted scenario according to the engine speed and the engine torque, and then determine the equivalent engine fuel consumption rate and the generator required torque in the generator-assisted scenario in combination with the wheel-end required torque;

[0236] Determining an equivalent engine fuel consumption rate and an engine required torque in the engine direct drive scenario according to the engine speed and the engine torque;

[0237] The engine fuel consumption rate and the driving motor charging efficiency in the driving motor assist scenario are determined according to the engine speed and the engine torque, and then the equivalent engine fuel consumption rate and the driving motor required torque in the driving motor assist scenario are determined in combination with the wheel-end required torque.

[0238] The energy distribution management module 204 is used to solve the energy flow model according to the series drive efficiency point and the parallel drive efficiency point, taking minimization of the energy consumption objective function as a solution goal, and obtain the optimal energy distribution result of the hybrid electric vehicle.

[0239] In this embodiment, the energy allocation management module 204 includes: an energy allocation management unit;

[0240] The energy distribution management unit is used to construct a discretized SOC state space according to the energy flow model and determine the SOC feasible domain;

[0241] Constructing a fuel consumption matrix according to the series drive efficiency point and the parallel drive efficiency point;

[0242] Taking minimization of the energy consumption objective function as the solution goal, the energy flow model is solved in combination with the SOC feasible domain and the fuel consumption matrix to obtain the optimal torque operating range of the engine, the optimal torque operating range of the generator, the optimal power distribution ratio, and the optimal mode switching point;

[0243] The optimal energy distribution result of the hybrid electric vehicle is determined according to the optimal torque operating range of the engine, the optimal torque operating range of the generator, the optimal power distribution ratio, and the optimal mode switching point.

[0244] This embodiment constructs the energy flow model of the hybrid electric vehicle through the whole 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 constructs the energy consumption objective function in combination with the mileage difference, so that the energy consumption objective function can accurately and comprehensively express the energy consumption of the hybrid electric vehicle; then, by solving the motor efficiency and engine efficiency of the hybrid electric vehicle, the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle are determined, and then the energy distribution management is realized based on the series drive efficiency point, the parallel drive efficiency point and the energy consumption objective function. This embodiment constructs the energy consumption objective function through the whole 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 improve 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 solution complexity and 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.

[0245] In summary, the embodiment of the present invention constructs the energy flow model of the hybrid electric vehicle through the whole 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 constructs the energy consumption objective function in combination with the mileage difference, so that the energy consumption objective function can accurately and comprehensively express the energy consumption of the hybrid electric vehicle; then, by solving the motor efficiency and engine efficiency of the hybrid electric vehicle, the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle are determined, and then the energy distribution management is realized based on the series drive efficiency point, the parallel drive efficiency point and the energy consumption objective function. The embodiment of the present invention constructs the energy consumption objective function through the whole 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 improve 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 solution complexity and 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.

[0246] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for managing energy distribution of a hybrid electric vehicle, characterized in that: include: Acquiring operating data of the hybrid electric vehicle, and acquiring vehicle power demand, engine fuel consumption, and battery power consumption according to the operating data, so as to construct an energy flow model of the hybrid electric vehicle; Acquire the mileage difference of the hybrid electric vehicle according to the operating condition data, and construct an energy consumption objective function of the hybrid electric vehicle based on the mileage difference and an energy flow model; Solving the motor efficiency and the engine efficiency of the hybrid electric vehicle according to the operating condition data of the hybrid electric vehicle to determine the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle; According to the series drive efficiency point and the parallel drive efficiency point, the energy flow model is solved with minimization of the energy consumption objective function as a solution goal to obtain an optimal energy distribution result of the hybrid electric vehicle.

2. The energy distribution management method of a hybrid electric vehicle according to claim 1, characterized in that: The step of obtaining the operating data of the hybrid electric vehicle and obtaining the vehicle power demand, engine fuel consumption and battery power consumption according to the operating data to construct an energy flow model of the hybrid electric vehicle specifically includes: Acquiring operating data of the hybrid electric vehicle, wherein the operating data includes: target vehicle speed, vehicle mass, vehicle acceleration, battery power consumption, and battery operation data; Calculating the vehicle power requirement of the hybrid electric vehicle according to the vehicle target speed, vehicle mass and vehicle acceleration; Obtaining the engine fuel consumption of the hybrid electric vehicle according to the vehicle power demand and battery power consumption of the hybrid electric vehicle; determining the battery power consumption of the hybrid electric vehicle according to the battery operation data and the battery power consumption; An energy flow model of the hybrid electric vehicle is constructed according to the vehicle power demand, engine fuel consumption and battery power consumption of the hybrid electric vehicle.

3. The energy distribution management method of a hybrid electric vehicle as claimed in claim 2, characterized in that: The step of obtaining the engine fuel consumption of the hybrid electric vehicle according to the vehicle power demand and battery power consumption of the hybrid electric vehicle specifically includes: The operating data of the hybrid electric vehicle also includes: engine fuel consumption rate and engine output power efficiency loss ratio; Acquire the working mode of the hybrid electric vehicle, and perform weighted summation of the vehicle power demand and the battery power consumption according to the working mode and the engine output power efficiency loss ratio to acquire the engine output power of the hybrid electric vehicle; 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.

4. The energy distribution management method of a hybrid electric vehicle as claimed in claim 2, characterized in that: The step of acquiring the mileage difference of the hybrid electric vehicle according to the operating condition data, and constructing the energy consumption objective function of the hybrid electric vehicle based on the mileage difference and an energy flow model, specifically includes: Acquire the mileage difference of the hybrid electric vehicle according to the target vehicle speed; Determining the SOC difference of the hybrid electric vehicle according to the battery power consumption in the energy flow model; According to the engine fuel consumption in the energy flow model, combined with the mileage difference and SOC difference of the hybrid electric vehicle, the energy consumption objective function of the hybrid electric vehicle is constructed; wherein the energy consumption objective function is: Where J is the energy consumption objective function, M is the engine fuel consumption, in g / h; T k is the engine torque at time k, in Nm; N k is the engine speed at time k, in rpm; ΔSOC is the SOC difference, in %; Δs is the mileage difference, in km, and K is time.

5. The energy distribution management method of a hybrid electric vehicle as claimed in claim 1, characterized in that: The step of solving the motor efficiency and the engine efficiency of the hybrid electric vehicle according to the operating condition data of the hybrid electric vehicle to determine the series drive efficiency point and the parallel drive efficiency point of the hybrid electric vehicle specifically includes: The motor efficiency of the hybrid electric vehicle includes: the generator charging efficiency and the drive motor charging efficiency; the engine efficiency of the hybrid electric vehicle includes: the engine fuel consumption rate; the operating condition data of the hybrid electric vehicle also includes: the wheel end required torque, the generator speed and the 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; 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 to determine the series drive efficiency point of the hybrid electric vehicle; The generator charging efficiency, the drive motor charging efficiency and the engine efficiency are solved according to the wheel end required torque, the engine speed and the engine torque to determine the parallel driving efficiency point of the hybrid electric vehicle.

6. The energy distribution management method of a hybrid electric vehicle as claimed in claim 5, characterized in that: The step of 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 to determine the series driving efficiency point of the hybrid electric vehicle specifically includes: Querying a preset generator charging efficiency map according to the generator speed and the generator torque to obtain the generator charging efficiency of the hybrid electric vehicle in the series mode; querying a preset engine universal characteristic diagram according to the engine speed and the engine torque to obtain the engine fuel consumption rate of the hybrid electric vehicle in the series mode; Determining the 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; According to the comprehensive fuel consumption of the hybrid electric vehicle in the series mode, an isopower line diagram is drawn, and the series driving efficiency point of the hybrid electric vehicle is determined based on the isopower line diagram.

7. A method for managing energy distribution of a hybrid electric vehicle according to any one of claims 5 or 6, characterized in that: The step of solving the generator charging efficiency, the drive motor charging efficiency and the engine efficiency according to the wheel end required torque, the engine speed and the engine torque to determine the parallel driving efficiency point of the hybrid electric vehicle specifically includes: Acquire a parallel driving scenario of the hybrid electric vehicle, wherein the parallel driving scenario includes: a generator assisting scenario, an engine direct driving scenario, and a drive motor assisting scenario; Calculate the equivalent engine fuel consumption rate, generator required torque, engine required torque and drive motor required torque of the hybrid electric vehicle in a generator-assisted scenario, an engine direct-drive scenario and a drive motor-assisted scenario according to the wheel-end required torque, the engine speed and the engine torque; According to the equivalent engine fuel consumption rate, the generator required torque, the engine required torque and the drive motor required torque, respectively draw a comprehensive fuel consumption map of the hybrid electric vehicle in a generator-assisted scenario, an engine direct-drive scenario and a drive motor-assisted scenario; The parallel operating point of the hybrid electric vehicle is acquired according to the comprehensive fuel consumption map, and the parallel driving efficiency point of the hybrid electric vehicle is determined.

8. The energy distribution management method of a hybrid electric vehicle as claimed in claim 7, characterized in that: The calculating, according to the wheel-end required torque, the engine speed and the engine torque, the equivalent engine fuel consumption rate, the generator required torque, the engine required torque and the drive motor required torque of the hybrid electric vehicle in the generator-assisted scenario, the engine direct-drive scenario and the drive motor-assisted scenario specifically includes: Determine the engine fuel consumption rate and the generator charging efficiency in the generator-assisted scenario according to the engine speed and the engine torque, and then determine the equivalent engine fuel consumption rate and the generator required torque in the generator-assisted scenario in combination with the wheel-end required torque; Determining an equivalent engine fuel consumption rate and an engine required torque in the engine direct drive scenario according to the engine speed and the engine torque; The engine fuel consumption rate and the driving motor charging efficiency in the driving motor assist scenario are determined according to the engine speed and the engine torque, and then the equivalent engine fuel consumption rate and the driving motor required torque in the driving motor assist scenario are determined in combination with the wheel-end required torque.

9. The energy distribution management method of a hybrid electric vehicle as claimed in claim 1, characterized in that: The step of solving the energy flow model according to the series drive efficiency point and the parallel drive efficiency point and taking minimization of the energy consumption objective function as a solution target to obtain an optimal energy distribution result of the hybrid electric vehicle specifically includes: Constructing a discretized SOC state space according to the energy flow model and determining a SOC feasible region; Constructing a fuel consumption matrix according to the series drive efficiency point and the parallel drive efficiency point; Taking minimization of the energy consumption objective function as the solution goal, the energy flow model is solved in combination with the SOC feasible domain and the fuel consumption matrix to obtain the optimal torque operating range of the engine, the optimal torque operating range of the generator, the optimal power distribution ratio, and the optimal mode switching point; The optimal energy distribution result of the hybrid electric vehicle is determined according to the optimal torque operating range of the engine, the optimal torque operating range of the generator, the optimal power distribution ratio, and the optimal mode switching point.

10. An energy distribution management device for a hybrid electric vehicle, characterized in that: include: Energy flow model acquisition module, energy consumption objective function construction module, series-parallel drive efficiency point calculation module and energy distribution management module; The energy flow model acquisition module is used to acquire the operating data of the hybrid electric vehicle, and acquire the vehicle power demand, engine fuel consumption and battery power consumption according to the operating data, so as to construct the energy flow model of the hybrid electric vehicle; The energy consumption objective function building module is used to obtain the mileage difference of the hybrid electric vehicle according to the operating condition data, and build the energy consumption objective function of the hybrid electric vehicle based on the mileage difference and the energy flow model; The series-parallel driving efficiency point calculation module is used to solve the motor efficiency and engine efficiency of the hybrid electric vehicle according to the operating 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; The energy distribution management module is used to solve the energy flow model according to the series drive efficiency point and the parallel drive efficiency point, taking minimization of the energy consumption objective function as a solution goal, and obtain the optimal energy distribution result of the hybrid electric vehicle.

Images