Hybrid vehicle energy optimization method, system, storage medium and electronic device

Abstract

Embodiments of the present invention provide a hybrid vehicle energy optimization method, system, storage medium, and electronic device. The method includes: determining the wheel-side torque requirement based on vehicle speed and driving conditions; determining the engine speed based on vehicle speed and engine speed ratio when the wheel-side torque requirement is positive; determining whether engine start conditions have been met based on the engine speed; and, if the engine start conditions have been met, minimizing vehicle fuel consumption by optimizing the engine torque and motor torque. The present invention can avoid engine failures such as knock and misfire caused by optimizing the engine compression ratio and improving the fuel supply and ignition systems to reduce vehicle fuel consumption, and it also takes into account the limiting factor of the vehicle's battery capacity, thereby increasing the battery's service life.

Description

Technical Field

[0001] The present invention relates to the technical field of hybrid vehicle control, and in particular to a hybrid vehicle energy optimization method, system, storage medium and electronic equipment. Background Art

[0002] In recent years, driven by the promotion of green travel, energy conservation, and environmental protection, coupled with the oil crisis, the new energy vehicle industry has experienced rapid growth. Compared to conventional vehicles, hybrid vehicles offer superior power, fuel economy, and emissions performance. Hybrid vehicles currently rely primarily on optimizing engine compression ratios and improving fuel supply and ignition systems to increase engine efficiency and thereby reduce fuel consumption. However, these measures can lead to deteriorating vehicle emissions and a range of engine failures, including detonation and misfires. Summary of the Invention

[0003] The purpose of the embodiments of the present invention is to provide a hybrid vehicle energy optimization method, system, storage medium, and electronic device that can prevent engine failure caused by reducing vehicle fuel consumption. The specific technical solution is as follows:

[0004] The present invention provides a hybrid vehicle energy optimization method, comprising:

[0005] Determine the required wheel torque based on vehicle speed and driving conditions;

[0006] When the wheel-side required torque is positive, determining the engine speed according to the vehicle speed and the engine speed ratio;

[0007] determining whether an engine start condition is met according to the engine speed;

[0008] If the engine start condition is met, the engine torque distribution coefficient is optimized based on the wheel-side required torque, the maximum engine torque, the engine speed ratio, the motor speed ratio, the engine operating efficiency, and the motor operating efficiency, with the goal of minimizing hybrid vehicle fuel consumption and the constraint that the vehicle battery power does not exceed a preset power range, to obtain an optimized torque distribution coefficient;

[0009] The optimized engine torque and the optimized motor torque are determined according to the optimized torque distribution coefficient and the wheel-side required torque, and the engine is controlled to output the optimized engine torque, and the motor is controlled to output the optimized motor torque.

[0010] Optionally, after determining whether the engine start condition is met according to the engine speed, the method further includes:

[0011] If the engine start condition is not met, the engine torque distribution coefficient is determined to be 0, the engine is not started, and the wheel-side required torque is distributed to the motor.

[0012] Optionally, after determining the wheel side required torque according to the vehicle speed and the vehicle driving condition, the method further comprises: executing at least one of steps A and B;

[0013] Step A: When the wheel side required torque is 0, the engine and the motor are both inoperative;

[0014] Step B: When the wheel-side required torque is negative, determine the engine torque distribution coefficient to be 0, do not start the engine, and distribute the wheel-side required torque to the motor.

[0015] Optionally, the optimization of the engine torque distribution coefficient based on the wheel-side required torque, the maximum engine torque, the engine speed ratio, the motor speed ratio, the engine operating efficiency, and the motor operating efficiency with the goal of minimizing the fuel consumption of the hybrid vehicle and the constraint that the battery power of the entire vehicle does not exceed a preset power range, to obtain the optimized torque distribution coefficient specifically includes:

[0016] Determine the battery current based on the vehicle starting power, engine power, load power and battery voltage, and determine the vehicle battery capacity based on the battery current and total battery capacity;

[0017] According to the wheel-side required torque, the maximum engine torque, the engine speed ratio, the motor speed ratio, the engine working efficiency and the motor working efficiency, an optimization algorithm is used under constraints to solve the engine torque of the objective function with the minimum fuel consumption as the optimization goal, and an optimized torque distribution coefficient is obtained; wherein, the constraint condition is that the battery power of the whole vehicle does not exceed the preset power range, and the objective function is a function that determines the fuel consumption based on the engine torque, the engine speed and the engine calorific value; the engine torque is the product of the engine torque distribution coefficient and the maximum engine torque.

[0018] Optionally,

[0019] The objective function is formulated as follows:

[0020] Fuel = S eng (k)*T eng (k) / M

[0021] In the formula, Fuel is the fuel consumption, S eng (k) is the engine speed at time k, T eng (k) is the engine torque at time k, M is the engine calorific value;

[0022] The formula for the vehicle battery capacity is as follows:

[0023]

[0024] In the formula, SOC(k) is the battery capacity of the vehicle at time k, SOC(k-1) is the battery capacity of the vehicle at time k-1, I batt is the battery current, where the battery current is the quotient of the battery power and the battery voltage. The sum of the battery power and the load power is equal to the difference between the vehicle starting power and the engine power. A is the total battery capacity.

[0025] Optionally, according to the wheel-side required torque, the maximum engine torque, the engine speed ratio, the motor speed ratio, the engine working efficiency, and the motor working efficiency, an optimization algorithm is used under constraints to solve the engine torque of the objective function with minimum fuel consumption as the optimization goal to obtain an optimized torque distribution coefficient, which specifically includes:

[0026] The wheel-side required torque, the maximum engine torque, the engine speed ratio, the motor speed ratio, the engine working efficiency, and the motor working efficiency are input into the following formula, and the DPM algorithm is used to solve the objective function under the constraints to obtain the optimized torque distribution coefficient;

[0027] T eng (k) = α × T e_max , α∈[0,1]

[0028]

[0029] Where, T tot (k) is the wheel torque requirement at time k, α is the engine torque distribution coefficient, T e_max is the maximum torque of the engine, T mot (k) is the motor torque at time k, ratio gear is the engine speed ratio, η eng_gear is the engine efficiency, ratio mot is the motor speed ratio, η mot The working efficiency of the motor.

[0030] Optionally,

[0031] The determining whether the engine start condition is met according to the engine speed specifically includes:

[0032] comparing the engine speed with a minimum engine starting speed;

[0033] If the engine speed is less than the minimum engine starting speed, the engine starting condition is not met; otherwise, the engine starting condition is met;

[0034] The step of determining the optimized engine torque and the optimized motor torque according to the optimized torque distribution coefficient and the wheel-side required torque specifically includes:

[0035] The product of the optimized torque distribution coefficient and the wheel side required torque is used as the optimized engine torque;

[0036] The difference between the wheel-side required torque and the optimized engine torque is used as the optimized motor torque.

[0037] The present invention also provides a hybrid vehicle energy optimization system, comprising:

[0038] A wheel-side required torque calculation module is used to determine the wheel-side required torque based on vehicle speed and driving conditions;

[0039] an engine speed calculation module, configured to determine the engine speed according to the vehicle speed and the engine speed ratio when the wheel-side required torque is positive;

[0040] An engine speed determination module, configured to determine whether an engine start condition is met based on the engine speed;

[0041] a torque optimization module for optimizing the engine torque distribution coefficient based on the wheel-side required torque, the maximum engine torque, the engine speed ratio, the motor speed ratio, the engine operating efficiency, and the motor operating efficiency, with the goal of minimizing hybrid vehicle fuel consumption and the constraint that the vehicle battery power does not exceed a preset power range, to obtain an optimized torque distribution coefficient when the engine starting condition is met;

[0042] The torque control module is used to determine the optimized engine torque and the optimized motor torque according to the optimized torque distribution coefficient and the wheel-side required torque, and control the engine to output the optimized engine torque and control the motor to output the optimized motor torque.

[0043] The present invention also provides a computer-readable storage medium having a program stored thereon, and the program, when executed by a processor, implements the above-mentioned hybrid vehicle energy optimization method.

[0044] The present invention further provides an electronic device, comprising:

[0045] At least one processor, and at least one memory and bus connected to the processor;

[0046] The processor and the memory communicate with each other via the bus; the processor is used to call program instructions in the memory to execute the above hybrid vehicle energy optimization method.

[0047] An embodiment of the present invention provides a hybrid vehicle energy optimization method, system, storage medium and electronic device. The hybrid vehicle energy optimization method determines whether the engine start condition is met based on the engine speed when the wheel-side demand torque is positive and the hybrid vehicle is in an accelerating state. If the engine start condition is met, the vehicle fuel consumption is minimized by optimizing the engine torque and the motor torque. The present invention adopts an engine control optimization method rather than an engine optimization method itself, which can avoid the problem of engine failure such as detonation and misfire caused by optimizing the engine compression ratio, improving the oil supply and ignition system to reduce the vehicle fuel consumption rate; and the present invention takes into account the limiting factor of the battery power of the entire vehicle, which can increase the battery life.

[0048] In addition, if the engine start conditions are not met, the wheel-side required torque is allocated to the motor, and only the motor is started without starting the engine. Compared with starting the engine when the engine start conditions are not met, this saves fuel consumed by engine starting and optimizes the energy of the hybrid vehicle.

[0049] When the wheel-side demand torque is 0, the hybrid vehicle is in idle state or changes from acceleration state to deceleration state. At this time, both the engine and the motor are not working, which is beneficial to reducing fuel consumption.

[0050] When the wheel-side demand torque is negative, the hybrid vehicle is in a braking state. Not starting the engine can reduce fuel consumption, and distributing the wheel-side demand torque to the motor ensures energy recovery and further optimizes the energy of the hybrid vehicle.

[0051] Of course, it is not necessary to achieve all of the advantages described above simultaneously in order to implement any product or method of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0053] Figure 1 A flow chart of a hybrid vehicle energy optimization method provided by an embodiment of the present invention;

[0054] Figure 2A schematic diagram of the energy optimization process of a hybrid vehicle provided by an embodiment of the present invention;

[0055] Figure 3 A structural diagram of a hybrid vehicle energy optimization system provided by an embodiment of the present invention;

[0056] Figure 4 A schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0057] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0058] The present invention provides a hybrid vehicle energy optimization method, such as Figure 1 As shown, the method includes:

[0059] Step 101: Determine the wheel-side required torque according to the vehicle speed and vehicle driving conditions.

[0060] The wheel-side demand torque, calculated based on vehicle speed and driving conditions, can be positive, zero, or negative. A positive wheel-side demand torque indicates the vehicle is accelerating; a zero wheel-side demand torque indicates the vehicle is idling or in a transient state transitioning from acceleration to deceleration; and a negative wheel-side demand torque indicates the vehicle is decelerating. The present invention optimizes both engine torque and motor torque based on the wheel-side demand torque, thereby reducing the fuel consumption of hybrid vehicles.

[0061] Step 102: When the wheel-side demand torque is positive, determine the engine speed according to the vehicle speed and the engine speed ratio.

[0062] When the wheel torque demand is positive, the vehicle is accelerating. To optimize the energy consumption of the hybrid vehicle, the engine speed is used to determine whether to start the engine, the starter motor, or both.

[0063] After step 102 , the hybrid vehicle energy optimization method provided by the present invention further includes: executing at least one of steps A and B.

[0064] Step A: When the wheel-side required torque is 0, the engine and the motor are both inoperative.

[0065] When the wheel-side demand torque is 0, the hybrid vehicle is in idle state or changes from acceleration state to deceleration state. At this time, both the engine and the motor are not working, which is beneficial to reducing fuel consumption.

[0066] Step B: When the wheel-side demand torque is negative, the engine torque distribution coefficient is determined to be 0, the engine is not started, and the wheel-side demand torque is distributed to the motor.

[0067] When the wheel-side demand torque is negative, the hybrid vehicle is in a braking state. Not starting the engine can reduce fuel consumption, and distributing the wheel-side demand torque to the motor ensures energy recovery and further optimizes the energy of the hybrid vehicle.

[0068] Step 103: Determine whether the engine start condition is met based on the engine speed.

[0069] If the calculated engine speed does not meet the engine start conditions, starting the engine will waste energy. Therefore, starting the motor alone can meet the needs of the current vehicle status.

[0070] If the calculated engine speed meets the engine start conditions, the engine starts and the motor needs to be started. In this case, the engine torque and motor torque are adjusted using the engine torque distribution coefficient as a variable to optimize the energy consumption of the hybrid vehicle. When optimizing the engine torque distribution coefficient, the product of the wheel-side demanded torque calculated in step 101 and the engine torque distribution coefficient is the engine torque. The sum of the engine torque and motor torque equals the wheel-side demanded torque.

[0071] Optionally, step 103 specifically includes:

[0072] The engine speed is compared with the minimum engine starting speed; if the engine speed is less than the minimum engine starting speed, the engine starting condition is not met; otherwise, the engine starting condition is met.

[0073] Step 104: If the engine start condition is met, the engine torque distribution coefficient is optimized based on the required wheel torque, the maximum engine torque, the engine speed ratio, the motor speed ratio, the engine operating efficiency, and the motor operating efficiency, with the goal of minimizing the fuel consumption of the hybrid vehicle and the constraint that the battery power of the entire vehicle does not exceed the preset power range, to obtain the optimized torque distribution coefficient.

[0074] Preferably, first, the battery current is determined according to the vehicle starting power, engine power, load power and battery voltage, and the vehicle battery power is determined according to the battery current and the total battery capacity.

[0075] Then, based on the required wheel torque, maximum engine torque, engine speed ratio, motor speed ratio, engine efficiency, and motor efficiency, an optimization algorithm is used under constraints to minimize fuel consumption. The engine torque at time k of the objective function is solved to obtain the optimized torque distribution coefficient. The engine torque is the product of the engine torque distribution coefficient and the maximum engine torque.

[0076] The objective function is a function that determines fuel consumption based on engine torque, engine speed, and engine calorific value. The objective function formula is as follows:

[0077] Fuel = S eng (k)*T eng (k) / M

[0078] In the formula, Fuel is the fuel consumption, S eng (k) is the engine speed at time k, T eng (k) is the engine torque at time k, and M is the engine heat value.

[0079] The constraint condition is that the battery power of the vehicle does not exceed the preset power range. The formula for the battery power of the vehicle is as follows:

[0080]

[0081] In the formula, SOC(k) is the battery capacity of the vehicle at time k, SOC(k-1) is the battery capacity of the vehicle at time k-1, I batt is the battery current, where the battery current is the quotient of the battery power and the battery voltage. The sum of the battery power and the load power is equal to the difference between the vehicle starting power and the engine power. A is the total battery capacity.

[0082] Preferably, based on the wheel-side required torque, the maximum engine torque, the engine speed ratio, the motor speed ratio, the engine efficiency, and the motor efficiency, an optimization algorithm is used under constraints to solve the engine torque at time k of the objective function with the minimum fuel consumption as the optimization goal, to obtain the optimized torque distribution coefficient, which specifically includes:

[0083] The engine speed ratio, motor speed ratio, engine efficiency, and motor efficiency are input into the following formula. The DPM algorithm is used to solve the objective function under the constraints to obtain the optimized torque distribution coefficient.

[0084] T eng (k) = α × T e_max , α∈[0,1]

[0085]

[0086] Where, T tot (k) is the wheel torque requirement at time k, α is the engine torque distribution coefficient, T e_max is the maximum engine torque, T mot (k) is the motor torque at time k, ratio gear is the engine speed ratio, η eng_gear is the engine efficiency, ratio mot is the motor speed ratio, η mot The working efficiency of the motor.

[0087] After step 104 , the hybrid vehicle energy optimization method provided by the present invention further includes: if the engine start condition is not met, determining the engine torque distribution coefficient to be 0, not starting the engine, and distributing the wheel-side required torque to the motor.

[0088] Step 105: Determine the optimized engine torque and the optimized motor torque according to the optimized torque distribution coefficient and the wheel-side required torque, and control the engine to output the optimized engine torque and control the motor to output the optimized motor torque.

[0089] Step 105 specifically includes:

[0090] The product of the optimized torque distribution coefficient and the wheel-side required torque is used as the optimized engine torque; the difference between the wheel-side required torque and the optimized engine torque is used as the optimized motor torque.

[0091] As an embodiment, the present invention implements energy optimization for a hybrid vehicle with a single motor and an automatic transmission (AMT). The power system of a hybrid vehicle with a single motor and an automatic transmission (AMT) primarily consists of an engine, a motor battery, and an electric motor. In different operating modes, depending on the vehicle's power requirements, the electric motor can be driven independently, in combination, or for braking. The engine's fuel consumption rate and battery power loss vary in different operating modes. Furthermore, the vehicle's battery life must be considered, and the battery power must be limited accordingly. Based on these considerations, the DPM algorithm is used to optimize energy and minimize the vehicle's fuel consumption rate.

[0092] The present invention establishes a transmission gear model based on a hybrid vehicle with a single motor AMT transmission as follows:

[0093] Gear(k)=Gear(k-1)+GearSelect or(k)

[0094] GearSelector(k)={-1,0,1}

[0095] Where Gear(k) is the gear position at time k, Gear(k-1) is the gear position at time k-1, and GearSelect or(k) is the gear selection at time k.

[0096] The established vehicle drive model is as follows:

[0097]

[0098] Where, T tot (k) is the wheel side torque required at time k, T eng_loss is the engine torque loss, ratio gear is the engine speed ratio, T mot_loss is the motor torque loss, ratio mot is the motor speed ratio, η eng_gear is the engine efficiency, η mot is the motor working efficiency, T eg is the gearbox torque loss, T v is the wheel torque calculated based on the sliding resistance.

[0099] The established engine torque model is as follows:

[0100] T eng (k) = α × T e_max , α∈[0,1]

[0101] The established motor torque model is as follows:

[0102]

[0103] Where, T eng (k) is the engine torque at time k, α is the engine torque distribution coefficient, T e_max is the maximum engine torque, T mot (k) is the motor torque at time k, ratio gear is the engine speed ratio, η eng_gear is the engine efficiency, ratio mot is the motor speed ratio, η mot The working efficiency of the motor.

[0104] in,

[0105] T tot (k) = T eng (k)+T mot (k)

[0106] T eng (k) = α × T e_max , α∈[0,1]

[0107] According to the wheel side demand torque, engine torque maximum value, engine speed ratio, motor speed ratio, engine efficiency and motor efficiency, under the constraints The optimization algorithm is used to minimize fuel consumption and optimize the objective function Fuel = S eng (k)*T eng (k) / M's T eng (k) is solved to obtain the optimized torque distribution coefficient α.

[0108] like Figure 2 As shown, the energy optimization process for a hybrid vehicle based on a single-motor AMT transmission according to the present invention is as follows: after the operating condition is input, the total torque demand (wheel-side torque demand) is calculated based on the operating condition and vehicle speed. The torque is then distributed to the engine to obtain engine torque, and the torque is then distributed to the motor to obtain motor torque. The engine torque corresponds to the instantaneous torque in the mechanical gear, and the motor torque corresponds to the instantaneous torque in the HL gear. The starting state of charge (SOC) (initial vehicle battery charge) is obtained from the operating condition input, and the ending state of charge (optimized vehicle battery charge) is obtained when the instantaneous torque in the mechanical gear and the instantaneous torque in the HL gear are obtained, thereby minimizing total fuel consumption. The TCU shift line corresponds to the engine gear selection and affects the instantaneous torque in the mechanical gear; the HL shift line corresponds to the motor gear selection and affects the instantaneous torque in the HL gear.

[0109] The present invention provides a hybrid vehicle energy optimization system, such as Figure 3 As shown, the system includes:

[0110] The wheel-side required torque calculation module 301 is used to determine the wheel-side required torque according to the vehicle speed and vehicle driving conditions.

[0111] The engine speed calculation module 302 is used to determine the engine speed according to the vehicle speed and the engine speed ratio when the wheel side demand torque is positive.

[0112] The engine speed determination module 303 is used to determine whether the engine start condition is met according to the engine speed.

[0113] The engine speed determination module 303 specifically includes:

[0114] a comparison unit, for comparing the engine speed with a minimum engine starting speed;

[0115] The engine speed judgment unit is used to determine that the engine starting condition has not been met when the engine speed is less than the minimum engine starting speed; otherwise, it is determined that the engine starting condition has been met.

[0116] The torque optimization module 304 is used to optimize the engine torque distribution coefficient based on the wheel-side required torque, the maximum engine torque, the engine speed ratio, the motor speed ratio, the engine operating efficiency, and the motor operating efficiency when the engine starting conditions are met, with the goal of minimizing the fuel consumption of the hybrid vehicle and the constraint that the battery power of the entire vehicle does not exceed the preset power range, to obtain an optimized torque distribution coefficient.

[0117] The torque optimization module 304 specifically includes:

[0118] The vehicle battery capacity determination unit is used to determine the battery current based on the vehicle starting power, engine power, load power and battery voltage, and to determine the vehicle battery capacity based on the battery current and total battery capacity;

[0119] The torque optimization unit is used to solve the engine torque at time k of the objective function using an optimization algorithm with the minimum fuel consumption as the optimization goal based on the wheel-side required torque, the maximum engine torque, the engine speed ratio, the motor speed ratio, the engine working efficiency and the motor working efficiency under constraints, so as to obtain the optimized torque distribution coefficient; wherein the constraint condition is that the battery power of the entire vehicle does not exceed the preset power range, the objective function is a function that determines the fuel consumption based on the engine torque, engine speed and engine calorific value; the engine torque is the product of the engine torque distribution coefficient and the maximum engine torque.

[0120] The objective function formula is as follows:

[0121] Fuel = S eng (k)*T eng (k) / M

[0122] In the formula, Fuel is the fuel consumption, S eng (k) is the engine speed at time k, T eng (k) is the engine torque at time k, M is the engine calorific value;

[0123] The formula for the vehicle battery capacity is as follows:

[0124]

[0125] In the formula, SOC(k) is the battery capacity of the vehicle at time k, SOC(k-1) is the battery capacity of the vehicle at time k-1, I batt is the battery current, where the battery current is the quotient of the battery power and the battery voltage. The sum of the battery power and the load power is equal to the difference between the vehicle starting power and the engine power. A is the total battery capacity.

[0126] Torque optimization unit, including:

[0127] The torque optimization subunit is used to input the wheel-side required torque, maximum engine torque, engine speed ratio, motor speed ratio, engine efficiency, and motor efficiency into the following formula, and use the DPM algorithm to solve the objective function under the constraints to obtain the optimized torque distribution coefficient;

[0128] T eng (k) = α × T e_max , α∈[0,1]

[0129]

[0130] Where, T tot (k) is the wheel torque requirement at time k, α is the engine torque distribution coefficient, T e_max is the maximum engine torque, T mot (k) is the motor torque at time k, ratio gear is the engine speed ratio, η eng_gear is the engine efficiency, ratio mot is the motor speed ratio, η mot The working efficiency of the motor.

[0131] The torque control module 305 is used to determine the optimized engine torque and the optimized motor torque according to the optimized torque distribution coefficient and the wheel-side required torque, and control the engine to output the optimized engine torque and control the motor to output the optimized motor torque.

[0132] The torque control module 305 specifically includes:

[0133] an optimized engine torque determination unit, configured to use the product of the optimized torque distribution coefficient and the wheel-side required torque as the optimized engine torque;

[0134] The optimized motor torque determination unit is used to take the difference between the wheel-side required torque and the optimized engine torque as the optimized motor torque.

[0135] The hybrid vehicle energy optimization system also includes:

[0136] The engine start condition execution module is used to determine that the engine torque distribution coefficient is 0 when the engine start condition is not met, the engine is not started, and the wheel side required torque is distributed to the motor.

[0137] The engine and motor are not working control module, which is used to stop the engine and motor from working when the wheel side demand torque is 0.

[0138] The engine non-start control module is used to determine the engine torque distribution coefficient to be 0 when the wheel-side demand torque is negative, the engine is not started, and the wheel-side demand torque is distributed to the motor.

[0139] An embodiment of the present invention provides a computer-readable storage medium having a program stored thereon. When the program is executed by a processor, a method for optimizing energy of a hybrid vehicle is implemented.

[0140] An embodiment of the present invention provides an electronic device, such as Figure 4 As shown, electronic device 40 includes at least one processor 401, at least one memory 402 connected to processor 401, and a bus 403. Processor 401 and memory 402 communicate with each other via bus 403. Processor 401 is configured to invoke program instructions stored in memory 402 to execute the hybrid vehicle energy optimization method described above. The electronic device herein may be a server, PC, PAD, mobile phone, or the like.

[0141] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program that initializes the steps included in the above hybrid vehicle energy optimization method.

[0142] The present application is described with reference to the flowcharts and / or block diagrams of the methods, systems, and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0143] In a typical configuration, the device includes one or more processors (CPUs), memory, and a bus. The device may also include input / output interfaces, network interfaces, and the like.

[0144] Memory may include non-permanent memory in a computer-readable medium, random access memory (RAM), and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory includes at least one memory chip. Memory is an example of a computer-readable medium.

[0145] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0146] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0147] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. It should also be noted that the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, commodity, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, commodity, or device comprising the element.

[0148] Each embodiment in this specification is described in a related manner. Similar parts between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the system embodiment is generally similar to the method embodiment, so the description is relatively simple. For related parts, refer to the description of the method embodiment.

[0149] The above are merely embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

Claims

1. A hybrid vehicle energy optimization method, characterized in that: include: Determine the required wheel torque based on vehicle speed and driving conditions; When the wheel-side required torque is positive, determining the engine speed according to the vehicle speed and the engine speed ratio; determining whether an engine start condition is met according to the engine speed; If the engine start condition is met, the engine torque distribution coefficient is optimized based on the wheel-side required torque, the maximum engine torque, the engine speed ratio, the motor speed ratio, the engine operating efficiency, and the motor operating efficiency, with the goal of minimizing hybrid vehicle fuel consumption and the constraint that the vehicle battery power does not exceed a preset power range, to obtain an optimized torque distribution coefficient; The optimized engine torque and the optimized motor torque are determined according to the optimized torque distribution coefficient and the wheel-side required torque, and the engine is controlled to output the optimized engine torque, and the motor is controlled to output the optimized motor torque.

2. The hybrid vehicle energy optimization method according to claim 1, characterized in that: After determining whether the engine start condition is met according to the engine speed, the method further includes: If the engine start condition is not met, the engine torque distribution coefficient is determined to be 0, the engine is not started, and the wheel-side required torque is distributed to the motor.

3. The hybrid vehicle energy optimization method according to claim 1, characterized in that: After determining the wheel side required torque according to the vehicle speed and the vehicle driving condition, the method further includes: executing at least one of steps A and B; Step A: When the wheel side required torque is 0, the engine and the motor are both inoperative; Step B: When the wheel-side required torque is negative, determine the engine torque distribution coefficient to be 0, do not start the engine, and distribute the wheel-side required torque to the motor.

4. The hybrid vehicle energy optimization method according to any one of claims 1 to 3, characterized in that: The method aims to minimize the fuel consumption of the hybrid vehicle and constrains the battery power of the vehicle to not exceed a preset power range. The method optimizes the engine torque distribution coefficient according to the wheel-side required torque, the maximum engine torque, the engine speed ratio, the motor speed ratio, the engine working efficiency, and the motor working efficiency to obtain the optimized torque distribution coefficient. Specifically, the method includes: Determine the battery current based on the vehicle starting power, engine power, load power and battery voltage, and determine the vehicle battery capacity based on the battery current and total battery capacity; According to the wheel-side required torque, the maximum engine torque, the engine speed ratio, the motor speed ratio, the engine working efficiency and the motor working efficiency, an optimization algorithm is used under constraints to solve the engine torque of the objective function with the minimum fuel consumption as the optimization goal, and an optimized torque distribution coefficient is obtained; wherein, the constraint condition is that the battery power of the whole vehicle does not exceed the preset power range, and the objective function is a function that determines the fuel consumption based on the engine torque, the engine speed and the engine calorific value; the engine torque is the product of the engine torque distribution coefficient and the maximum engine torque.

5. The hybrid vehicle energy optimization method according to claim 4, characterized in that: The objective function is formulated as follows: Fuel=S eng (k)*T eng (k) / M In the formula, Fuel is the fuel consumption, S eng (k) is the engine speed at time k, T eng (k) is the engine torque at time k, M is the engine calorific value; The formula for the vehicle battery capacity is as follows: In the formula, SOC(k) is the battery capacity of the vehicle at time k, SOC(k-1) is the battery capacity of the vehicle at time k-1, I batt is the battery current, where the battery current is the quotient of the battery power and the battery voltage. The sum of the battery power and the load power is equal to the difference between the vehicle starting power and the engine power. A is the total battery capacity.

6. The hybrid vehicle energy optimization method according to claim 5, characterized in that: The optimized torque distribution coefficient is obtained by solving the engine torque of the objective function based on the wheel-side required torque, the maximum engine torque, the engine speed ratio, the motor speed ratio, the engine working efficiency, and the motor working efficiency, using an optimization algorithm under constraints with the minimum fuel consumption as the optimization goal. Specifically, the optimized torque distribution coefficient includes: The wheel-side required torque, the maximum engine torque, the engine speed ratio, the motor speed ratio, the engine working efficiency, and the motor working efficiency are input into the following formula, and the DPM algorithm is used to solve the objective function under the constraints to obtain the optimized torque distribution coefficient; T eng (k)=α×T e_max ,α∈[0,1] Where, T tot (k) is the wheel torque requirement at time k, α is the engine torque distribution coefficient, T e_max is the maximum engine torque, T mot (k) is the motor torque at time k, ratio gear is the engine speed ratio, η eng_gear is the engine efficiency, ratio mot is the motor speed ratio, η mot The working efficiency of the motor.

7. The hybrid vehicle energy optimization method according to claim 1, characterized in that: The determining whether the engine start condition is met according to the engine speed specifically includes: comparing the engine speed with a minimum engine starting speed; If the engine speed is less than the minimum engine starting speed, the engine starting condition is not met; otherwise, the engine starting condition is met; The step of determining the optimized engine torque and the optimized motor torque according to the optimized torque distribution coefficient and the wheel-side required torque specifically includes: The product of the optimized torque distribution coefficient and the wheel side required torque is used as the optimized engine torque; The difference between the wheel-side required torque and the optimized engine torque is used as the optimized motor torque.

8. A hybrid vehicle energy optimization system, characterized in that: include: A wheel-side required torque calculation module is used to determine the wheel-side required torque based on vehicle speed and driving conditions; an engine speed calculation module, configured to determine the engine speed according to the vehicle speed and the engine speed ratio when the wheel-side required torque is positive; An engine speed determination module, configured to determine whether an engine start condition is met based on the engine speed; a torque optimization module for optimizing the engine torque distribution coefficient based on the wheel-side required torque, the maximum engine torque, the engine speed ratio, the motor speed ratio, the engine operating efficiency, and the motor operating efficiency, with the goal of minimizing hybrid vehicle fuel consumption and the constraint that the vehicle battery power does not exceed a preset power range, to obtain an optimized torque distribution coefficient when the engine starting condition is met; The torque control module is used to determine the optimized engine torque and the optimized motor torque according to the optimized torque distribution coefficient and the wheel-side required torque, and control the engine to output the optimized engine torque and control the motor to output the optimized motor torque.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a program, and when the program is executed by a processor, the hybrid vehicle energy optimization method according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: include: At least one processor, and at least one memory and bus connected to the processor; The processor and the memory communicate with each other via the bus; The processor is used to call the program instructions in the memory to execute the hybrid vehicle energy optimization method according to any one of claims 1 to 7.

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