Oil consumption prediction methods, devices, equipment, media and products

Abstract

This application discloses a fuel consumption prediction method, apparatus, device, medium, and product, belonging to the field of range-extended vehicle technology. The method includes: acquiring a fuel consumption prediction simulation model; acquiring a first engine strategy, using the first engine strategy as a first constraint condition of the fuel consumption prediction simulation model; acquiring a second engine strategy, using the second engine strategy as a second constraint condition of the fuel consumption prediction simulation model; and performing simulation calculations on the fuel consumption prediction simulation model based on the first and second engine strategies to obtain fuel consumption prediction results. The first engine strategy controls the engine's power generation to always cover the wheel-end power, dynamically adjusting the engine's power generation to match the wheel-end power demand according to the real-time operating conditions of the range-extended vehicle, while ensuring the engine operates at its optimal operating point. The second engine strategy reduces fuel consumption during unnecessary operation by intelligently controlling engine start-stop.

Description

Technical Field

[0001] This application relates to the field of range-extended vehicle technology, and in particular to a fuel consumption prediction method, device, equipment, medium, and product. Background Technology

[0002] With the development of new energy vehicles, range-extended electric vehicles (REEVs) have gradually entered the public eye. A REEV is a hybrid electric vehicle that combines an engine (such as an internal combustion engine) and an electric drive system, using the internal combustion engine to generate electricity to increase the vehicle's range.

[0003] In the relevant technical field, fuel consumption is a key indicator for evaluating range-extended vehicles because they use internal combustion engines to generate electricity during their driving range. Currently, range-extended vehicle trip information includes average fuel consumption calculations, which are based on the vehicle's driving distance and fuel consumption.

[0004] Current methods for calculating average fuel consumption in related technologies are insufficient for practical applications. For example, when the journey is short, the calculated average fuel consumption may be higher because while the engine generates electricity from burning fuel, a portion of this energy is used to power the range-extended vehicle, while the remainder is stored in the battery unused. This leads to an inflated fuel consumption figure. Therefore, accurately predicting the fuel consumption of range-extended vehicles is a problem that needs to be solved. Summary of the Invention

[0005] This application provides a method, apparatus, equipment, medium, and product for predicting fuel consumption, the technical solution of which is as follows:

[0006] According to one aspect of this application, a fuel consumption prediction method is provided, the method comprising:

[0007] Obtain a fuel consumption prediction simulation model;

[0008] A first engine strategy is obtained and used as the first constraint condition of the fuel consumption prediction simulation model. The first engine strategy is used to control the correspondence between engine power generation and wheel-end power.

[0009] A second engine strategy is obtained and used as a second constraint condition for the fuel consumption prediction simulation model. The second engine strategy is used to control the start and stop of the engine with the goal of keeping the SOC of the range-extended vehicle constant.

[0010] The fuel consumption prediction simulation model is simulated and calculated based on the first engine strategy and the second engine strategy to obtain the fuel consumption prediction result of the range-extended vehicle.

[0011] According to one aspect of this application, a fuel consumption prediction device is provided, the device comprising:

[0012] The acquisition module is used to acquire the fuel consumption prediction simulation model;

[0013] The acquisition module is used to acquire a first engine strategy and use the first engine strategy as the first constraint condition of the fuel consumption prediction simulation model. The first engine strategy is used to control the correspondence between the engine power generation and the wheel end power.

[0014] The acquisition module is used to acquire the second engine strategy and use the second engine strategy as the second constraint condition of the fuel consumption prediction simulation model. The second engine strategy is used to control the start and stop of the engine with the goal of keeping the SOC of the range-extended vehicle constant.

[0015] The simulation module is used to perform simulation calculations on the fuel consumption prediction simulation model based on the first engine strategy and the second engine strategy to obtain the fuel consumption prediction results of the range-extended vehicle.

[0016] According to another aspect of this application, a computer device is provided, the vehicle terminal including a processor and a memory, the memory storing at least one program, the at least one program being loaded and executed by the processor to implement the fuel consumption prediction method as described above.

[0017] According to another aspect of this application, a computer storage medium is provided, wherein at least one computer instruction is stored in the computer-readable storage medium, the at least one computer instruction being loaded and executed by a processor to implement the fuel consumption prediction method as described above.

[0018] According to another aspect of this application, a computer program product is provided, comprising a computer program stored in a computer-readable storage medium; the computer program is read from and executed by a processor of a computer device from the computer-readable storage medium, causing the computer device to perform the fuel consumption prediction method as described above.

[0019] The beneficial effects of the technical solutions provided in this application include at least the following:

[0020] A fuel consumption prediction simulation model is created in the simulation system. Relevant parameters of the range-extended vehicle are input into the model. The first engine strategy (engine power generation strategy) and the second engine strategy (engine start-up strategy and engine shutdown strategy) are used as constraints in the simulation calculation. Finally, the fuel consumption prediction results of the range-extended vehicle are output. The first engine strategy ensures that the engine power generation is always greater than the wheel-end power, guaranteeing that the engine power generation meets the actual wheel-end power requirements. The first engine strategy can also dynamically adjust the engine power generation to match the wheel-end power requirements based on the real-time operating conditions and energy demands of the range-extended vehicle. Simultaneously, the first engine strategy ensures that the engine operates at its optimal operating point. The generator output efficiency is controlled to maximize the conversion of mechanical energy generated from fuel into electrical energy, thereby achieving efficient energy utilization and minimizing fuel consumption. The second engine strategy controls the engine to start or stop at appropriate times. When the engine starts, it provides energy to the generator. When the engine stops, it stops providing energy to the generator. Under different driving conditions (vehicle speed conditions), the second engine strategy can dynamically adjust the engine's operating state to adapt to the current driving needs. At the same time, the second engine strategy can reduce ineffective fuel consumption when the engine is not running, such as at low speeds or when the vehicle is stopped.

[0021] Furthermore, predicting the fuel consumption of range-extended vehicles can provide technical support for their development. The first engine strategy precisely matches the engine's power generation capacity with the actual power demands of the range-extended vehicle, ensuring appropriate power output under different operating conditions to meet the vehicle's actual power needs and avoid fuel waste caused by excessive power generation. The second engine strategy reduces fuel consumption during idling and unnecessary operation by optimizing engine start-up and shutdown management. Through simulation optimization analysis and real-vehicle verification, these two strategies can be continuously adjusted and optimized to ensure the accuracy and reliability of fuel consumption prediction results. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a schematic diagram of the system architecture of a computer device provided in an exemplary embodiment of this application;

[0024] Figure 2 This is a flowchart of a fuel consumption prediction method provided in an exemplary embodiment of this application;

[0025] Figure 3 This is a flowchart of a fuel consumption prediction method provided in an exemplary embodiment of this application;

[0026] Figure 4 This is a flowchart of a fuel consumption prediction method provided in an exemplary embodiment of this application;

[0027] Figure 5 This is a flowchart of a fuel consumption prediction method provided in an exemplary embodiment of this application;

[0028] Figure 6 This is a structural block diagram of a fuel consumption prediction device provided in an exemplary embodiment of this application;

[0029] Figure 7 This is a structural block diagram of a computer device provided in an exemplary embodiment of this application. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0031] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0032] The terminology used in this disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The singular forms “a,” “the,” and “the” as used in this disclosure and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.

[0033] In this application embodiment, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions. For example, the attack operations and other target behaviors involved in this application are all obtained under full authorization.

[0034] It should be understood that although the terms first, second, etc., may be used in this disclosure to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, a first parameter may also be referred to as a second parameter without departing from the scope of this disclosure, and similarly, a second parameter may also be referred to as a first parameter. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to determination."

[0035] First, a brief introduction to the terms used in the embodiments of this application:

[0036] A range extender, also known as a "range enhancer," is a key device that provides additional power to electric vehicles (range-extended vehicles) to extend their driving range. A range extender mainly consists of two parts: an engine and a generator. The engine in a range extender is typically a small internal combustion engine, which can be gasoline, diesel, or other types of engine. Its main function is to operate when the battery is low, providing power to the generator. The generator in a range extender is the device that converts the mechanical energy generated by the engine into electrical energy. The engine drives the generator to produce electrical energy, which can then be used to charge the battery or directly power the electric motor. With a range extender, a range-extended vehicle can continue driving when the battery is low, while maintaining low fuel consumption and emissions levels.

[0037] Engine power generation: This refers to the power generated by the engine (e.g., an internal combustion engine) in a range-extended vehicle, which drives the generator. In other words, it's the power generated by the engine burning fuel, which is then converted into electrical energy by the generator. Since the engine in the range extender provides the energy source for the generator in supplying power to the outside world, engine power generation can also be understood as the power the engine generates for the generator. The engine power generation curve reflects how the engine should adjust its output power to ensure the generator achieves optimal efficiency under different power demands. Optionally, engine power generation depends on the engine's operating conditions and the generator's efficiency; the engine will produce different power generation at different speeds and loads.

[0038] Wheel-end power: This refers to the actual power output of the wheels of a range-extended vehicle during operation. Wheel-end power is the final power transmitted from the vehicle's powertrain to the ground, determining key performance indicators such as acceleration, climbing ability, and top speed. Optionally, the magnitude of wheel-end power is affected by the engine's power generation capacity. Under the first operating condition, wheel-end power will fluctuate over time and depending on changes in operating conditions.

[0039] Range-extended electric vehicles (REEVs) are hybrid vehicles that combine an engine (such as an internal combustion engine) and an electric drive system. The internal combustion engine generates electricity to increase the vehicle's driving range. In related technologies, fuel consumption is a key indicator for evaluating REEVs due to the characteristic of using the internal combustion engine to generate electricity during the driving range. Current methods for calculating average fuel consumption for REEVs are based on the distance traveled and fuel consumption. However, these methods are insufficient for practical applications. For example, when the distance is short, the calculated average fuel consumption may be higher because while the engine burns fuel to generate electricity, some of this energy is used to power the REEV, while some is stored in the battery unused, leading to an inflated fuel consumption figure. Therefore, accurately predicting the fuel consumption of REEVs is a problem that needs to be solved.

[0040] In this embodiment, a fuel consumption prediction simulation model for a range-extended vehicle is constructed, with the engine power generation strategy and engine start-stop strategy (engine start-up strategy and engine shutdown strategy) serving as constraints. The engine power generation strategy controls the engine power generation of the range-extended vehicle to be greater than the wheel-end power during the simulation. Wheel-end power reflects the power demand of the range-extended vehicle; the power provided by the engine is transmitted to the wheels as wheel-end power. The engine start-stop strategy instructs the range-extended vehicle to control the engine to start or stop supplying power to the generator at a preset time during the first driving scenario. By using the engine power generation strategy and engine start-stop strategy (engine start-up strategy and engine shutdown strategy) as constraints for the fuel consumption prediction simulation model, simulation calculations are performed on the fuel consumption prediction simulation model under the first driving scenario to obtain the fuel consumption prediction result of the range-extended vehicle under the first driving scenario.

[0041] Please refer to Figure 1 This illustration shows a schematic diagram of the system architecture of a computer device provided in one embodiment of this application. The system architecture may include: a computer device 10, a server 20, and a vehicle 30.

[0042] In some embodiments, the fuel consumption prediction of the range-extended vehicle is performed by the computer device 10. Optionally, the computer device 10 has a fuel consumption prediction simulation model for the range-extended vehicle. After constructing the fuel consumption prediction simulation model in the computer device 10, the engine power generation strategy and engine start-stop strategy (engine start strategy and engine stop strategy) are used as constraints of the fuel consumption prediction simulation model, and the fuel consumption prediction simulation model is simulated to obtain the fuel consumption prediction result of the range-extended vehicle under normal temperature conditions.

[0043] In some embodiments, a test engineer inputs the performance parameters of the range extender and the vehicle parameters into the fuel consumption prediction simulation model of the computer device 10. The performance parameters of the range extender include engine universal characteristics, generator efficiency characteristics, and generator speed ratio. The vehicle parameters include at least one of the following: weight, size, wheelbase, drag coefficient, and chassis structural parameters of the range-extended vehicle.

[0044] Optionally, regarding the engine power generation strategy: a first operating curve is determined based on the performance parameters of the range extender. This first operating curve is the operating curve of the range extender. Based on the first operating curve, an engine power generation curve is determined. This engine power generation curve is the power output curve of the electricity generated by the engine. Then, the overall vehicle resistance and a first operating condition of the range-extended vehicle are obtained. The first operating condition can be the China Light-duty Vehicle Test Cycle (CLTC), the World Light Vehicle Test Cycle (WLTC), or the New European Driving Cycle (NEDC). Optionally, based on the overall vehicle resistance and the first operating condition, the wheel-end power of the range-extended vehicle at different time points under the first operating condition is calculated to obtain the wheel-end power range corresponding to the first operating condition. Then, based on a first mapping relationship, the engine power generation strategy is obtained, controlling the engine power generation to always cover the wheel-end power, i.e., controlling the wheel-end power within the wheel-end power range to be less than the engine power generation.

[0045] For example, the CLTC test cycle is used as the first driving condition. The CLTC test cycle simulates various driving scenarios, including urban congestion, suburban driving, and highway driving, to more comprehensively evaluate the vehicle's fuel economy and emissions performance. Optionally, the CLTC test cycle includes three different speed ranges: low speed, medium speed, and high speed, to more realistically simulate various situations in daily driving. The total test duration for the CLTC test cycle is 1800 seconds. The cumulative mileage reaches 14.48 kilometers. The maximum speed reached during the test is 114 kilometers per hour.

[0046] Optionally, regarding the engine starting strategy: a first vehicle speed threshold is set, for example, 100 km / h. This first speed threshold corresponds to the speed at which the engine starts. When the speed of the range-extended vehicle exceeds this threshold, it is considered that the vehicle speed is high, and the engine is controlled to start to provide energy for the generator. Optionally, the wheel-end torque corresponding to the first speed threshold is set to 0, representing the starting trigger value for wheel-end torque. When the wheel-end torque demand corresponding to the vehicle speed exceeds a minimum value, it indicates that the engine needs to start. When the speed of the range-extended vehicle is lower than the first speed threshold, the engine is controlled not to start. Optionally, the wheel-end torque corresponding to speeds below the first speed threshold is set to a maximum value, representing the stopping trigger value for wheel-end torque, indicating that the engine does not need to start. The engine starting strategy is used to indicate, based on the speed of the range-extended vehicle, the engine is controlled to start under preset conditions to provide energy for the generator.

[0047] Optionally, for the engine shutdown strategy: a second vehicle speed threshold is set, which is optionally lower than the first vehicle speed threshold, for example, the second vehicle speed threshold is 50 km / h. The second vehicle speed threshold is the speed threshold corresponding to engine shutdown. When the speed of the range-extended vehicle during driving is greater than the second vehicle speed threshold, the engine is controlled to continue operating to provide energy to the generator. Optionally, the wheel-end torque corresponding to the second vehicle speed threshold is calculated and set to 0, representing the starting trigger value of the wheel-end torque. When the wheel-end torque demand corresponding to the vehicle speed is greater than the minimum value, it indicates that the engine needs to continue starting. When the speed of the range-extended vehicle during driving is less than the second vehicle speed threshold, it is considered that the vehicle speed is low, and the engine is controlled to shut down, stopping the provision of energy to the generator. Optionally, the wheel-end torque corresponding to the speed below the second vehicle speed threshold is set to the maximum value, representing the shutdown trigger value of the wheel-end torque, i.e., indicating that the engine needs to shut down. The engine shutdown strategy is used to indicate, based on the speed of the range-extended vehicle, to control the engine to stop providing energy to the generator under preset conditions.

[0048] In some embodiments, the engine power generation strategy and the engine start-stop strategy (engine start-up strategy and engine shutdown strategy) are combined and used as constraints in the fuel consumption prediction simulation model to simulate the driving scenario of a range-extended vehicle under a CLTC (Clearly Limited Charge) condition, ensuring that the engine power generation always covers the wheel-end power. Optionally, initially, the range-extended vehicle is in a low-speed state and the engine is not started. When the vehicle speed reaches a first speed threshold, the engine is started to provide energy for the generator. When the vehicle speed is lower than a second speed threshold, the engine is shut down, i.e., it stops providing energy for the generator. For example, taking the first condition as the CLTC condition, under the CLTC condition, by adjusting the first speed threshold (start point) and the second speed threshold (shutdown point), the battery state of charge (SOC) of the range-extended vehicle at the beginning of the first condition is kept consistent with the SOC at the end of the first condition, i.e., the battery capacity of the range-extended vehicle at the beginning of the first condition is kept as consistent as possible with the battery capacity at the end of the first condition. During this process, the engine in the range extender uses fuel consumption to generate electricity. At this time, the fuel consumption and electricity consumption of the range-extended vehicle under CLTC conditions are equivalent, and the fuel consumption prediction result of the range-extended vehicle can be obtained.

[0049] In some embodiments, the fuel consumption prediction of the range-extended vehicle is jointly performed by the computer device 10 and the server 20. Optionally, the simulation process of the fuel consumption prediction simulation model is completed based on the wireless communication between the computer device 10 and the server 20. The computer device 10 has a fuel consumption prediction simulation model for the range-extended vehicle. After constructing the fuel consumption prediction simulation model in the computer device 10, the first parameter is input into the fuel consumption prediction simulation model. The computer device 10 sends a simulation request to the server 20, which performs simulation calculations based on the engine power generation strategy and the engine start-stop strategy (engine start strategy and engine stop strategy) to obtain the simulation result, that is, the fuel consumption prediction result of the range-extended vehicle under normal temperature conditions, and then sends the fuel consumption prediction result back to the computer device 10. This application does not limit this aspect.

[0050] In some embodiments, the fuel consumption prediction method can be applied to actual driving scenarios. Vehicle 30 is a range-extended vehicle, and includes an on-board terminal. The on-board terminal and server 20 can be directly or indirectly connected via wired or wireless communication. The on-board terminal can be the control system of vehicle 30. A client running a target application can be installed on the on-board terminal. This target application can be an application with information acquisition and engine control functions, such as a vehicle controller. The vehicle controller is the main controller of vehicle 30. The fuel consumption prediction model can be integrated into the vehicle controller. The vehicle controller automatically acquires the performance parameters and overall vehicle parameters of vehicle 30 and sends a fuel consumption prediction request to server 20. Server 20 returns the fuel consumption prediction result of vehicle 30 under normal temperature conditions to the vehicle controller, which displays it on the instrument panel.

[0051] The methods provided in the embodiments of this application will be described below. Figure 2 This is a flowchart of a fuel consumption prediction method provided in an exemplary embodiment of this application. Figure 2 As shown, the method includes the following steps:

[0052] Step 210: Obtain the fuel consumption prediction simulation model;

[0053] In some embodiments, test engineers build fuel consumption prediction simulation models in a simulation environment. The simulation environment refers to the computer software or tools used by the test engineer to perform simulation calculations. In the simulation environment, the test engineer can build, run, and analyze the fuel consumption prediction simulation model. Optionally, the simulation environment typically includes a range of functionalities, such as a graphical user interface, programming interface, data input / output tools, simulation operation control, etc., allowing the test engineer to simulate and test different system behaviors without actually manufacturing or operating physical equipment.

[0054] The fuel consumption prediction simulation model is used to simulate and predict the fuel consumption (hereinafter referred to as fuel consumption) of the range-extended vehicle under preset conditions. Optionally, the fuel consumption prediction simulation model may include components such as the power system, engine, generator, battery, electric motor, and transmission system of the range-extended vehicle.

[0055] In some embodiments, the fuel consumption prediction simulation model is used to simulate the fuel consumption prediction results of the range-extended vehicle under a first operating condition. Optionally, relevant parameters of the range-extended vehicle are input into the fuel consumption prediction simulation model, and the output of the fuel consumption prediction simulation model is the fuel consumption prediction result. The relevant parameters include component parameters and boundary parameters of the range-extended vehicle. Component parameters refer to the performance parameters of the various key components constituting the range-extended vehicle. For example, component parameters include engine performance parameters, such as engine universal characteristics, engine speed range, and maximum power output; generator performance parameters, such as generator efficiency curve; battery performance parameters, such as battery capacity and charge / discharge efficiency; and vehicle body and chassis parameters, such as vehicle mass, drag coefficient, and tire rolling resistance coefficient. Boundary parameters define the external conditions and initial state of the simulation operation. For example, boundary parameters include driving parameters for the first operating condition, such as driving speed, acceleration, distance, road conditions (e.g., urban, highway), and cycle; environmental parameters, such as temperature, air density, road surface type, and slope; and load parameters, such as additional load under passenger and cargo conditions. The above is merely an illustrative description of the parameters related to the fuel consumption prediction simulation model and does not constitute a limitation on the parameters. The parameters can be added or reduced as needed.

[0056] Step 220: Obtain the first engine strategy and use the first engine strategy as the first constraint condition of the fuel consumption prediction simulation model;

[0057] In some embodiments, the first engine strategy is an engine power generation strategy. Optionally, the first engine strategy is used to control the correspondence between the engine power generation and the wheel-end power in the range extender.

[0058] In some embodiments, the range-extended vehicle includes a range extender to extend its driving range. Optionally, the range extender mainly comprises an engine and a generator. The engine in the range extender is typically a small internal combustion engine, which can be a gasoline, diesel, or other type of engine. Its main function is to operate when the battery power is low, providing power to the generator. The generator in the range extender is a device that converts the mechanical energy generated by the engine into electrical energy. The engine drives the generator to produce electrical energy, which can then be used to charge the battery or directly power the electric motor. With the range extender, the range-extended vehicle can continue driving when the battery power is low.

[0059] Engine power generation refers to the power generated by the engine (e.g., an internal combustion engine) in a range-extended vehicle when it is running, driving the generator. That is, the power from which the mechanical energy generated by the engine burning fuel is converted into electrical energy by the generator. Since the engine in the range extender provides the energy source for the generator in supplying power to the outside world, engine power generation can also be understood as the power generated by the engine for the generator. Optionally, engine power generation depends on the engine's operating state and the generator efficiency; the engine will produce different power generation at different speeds and loads. In the fuel consumption prediction simulation model, controlling engine power generation is crucial for optimizing fuel consumption. Wheel-end power refers to the actual power output of the wheels of the range-extended vehicle during driving. Wheel-end power is the power ultimately transmitted to the ground by the range-extended vehicle's power system, determining key performance indicators such as acceleration, climbing ability, and maximum speed. Optionally, the magnitude of wheel-end power is affected by engine power generation. Under the first operating condition, wheel-end power fluctuates over time and with changes in operating conditions.

[0060] In some embodiments, a first engine strategy is used as a first constraint, which controls the correspondence between engine power generation and wheel-end power. The first constraint can be understood as a control condition. For example, the first engine strategy controls the engine power generation to cover the wheel-end power, i.e., the engine power generation is greater than the wheel-end power. In the fuel consumption prediction simulation model, the first engine strategy controls the correspondence between engine power generation and wheel-end power, dynamically adjusting the engine power generation to match the wheel-end power demand based on the real-time operating conditions and energy requirements of the range-extended vehicle, thereby achieving efficient energy utilization and minimizing fuel consumption.

[0061] Step 230: Obtain the second engine strategy and use the second engine strategy as the second constraint condition of the fuel consumption prediction simulation model;

[0062] In some embodiments, the second engine strategy includes an engine start-up strategy and an engine stop-up strategy. Optionally, the second engine strategy is used to control the start-up and stop-up of the engine; that is, the engine start-up strategy is used to control the start-up of the engine, and the engine stop-up strategy is used to control the stop-up of the engine. Engine start-up can be understood as the engine providing an energy source for the generator; engine stop-up can be understood as the engine ceasing to provide an energy source for the generator.

[0063] In some embodiments, a second engine strategy is used as a second constraint to control the starting and stopping of the engine. The second constraint is a control condition in the fuel consumption prediction simulation model. In the fuel consumption prediction simulation model, the second constraint is used to control when the engine starts and stops to optimize the fuel consumption of the range-extended vehicle.

[0064] In some embodiments, the engine starting strategy involves determining when to start the engine so that the generator can charge the battery. Engine starting refers to the process of the engine transitioning from a stationary state to an operating state. Exemplarily, engine starting is based on scenarios where the range-extended vehicle is traveling at high speeds, accelerating, or requiring significant power, such as when the range-extended vehicle needs more power to accelerate or climb hills. Engine starting provides an energy source for the generator to supply additional electrical energy to the battery. The engine starting strategy ensures that the engine provides an energy source for the generator when needed to power the range-extended vehicle.

[0065] In some embodiments, an engine shutdown strategy involves deciding when to stop the engine from generating electricity for the generator to reduce fuel consumption and emissions. Engine shutdown refers to the process of transitioning the engine from an operating state to a stationary state. During shutdown, the engine needs to gradually reduce its fuel supply, decrease its speed, and eventually stop rotating. Exemplarily, engine shutdown typically occurs when the range-extended vehicle is traveling at low speeds, stopped, or when less power or energy is required, such as when the range-extended vehicle is cruising smoothly or decelerating; in these scenarios, the engine stops providing additional electrical energy to the generator. Engine shutdown strategies help save fuel because, when the engine is not needed, the range-extended vehicle can rely on the electrical energy stored in the battery to maintain operation.

[0066] Step 240: Perform simulation calculations on the fuel consumption prediction simulation model based on the first engine strategy and the second engine strategy to obtain the fuel consumption prediction results of the range-extended vehicle.

[0067] In some embodiments, the fuel consumption prediction simulation model is used to perform simulation calculations under a first operating condition based on a first engine strategy and a second engine strategy to obtain the fuel consumption prediction result of the range-extended vehicle under the first operating condition. The first engine strategy is used to control the correspondence between the engine's power generation and the wheel-end power. The second engine strategy is used to control the engine's start-up and shutdown. The fuel consumption prediction result is the output of the fuel consumption prediction simulation model; that is, the fuel consumption prediction result refers to the fuel consumption estimate of the range-extended vehicle under the first operating condition based on input conditions (such as performance parameters and boundary parameters).

[0068] In some embodiments, the first operating condition typically refers to a pre-set or selected driving condition or scenario in the simulation analysis. Optionally, the first operating condition may include various factors such as vehicle speed, acceleration, driving distance, road type (e.g., urban roads, highways, mountain roads), and traffic conditions (e.g., congestion, free flow). Different operating conditions will have different impacts on the fuel economy of range-extended vehicles.

[0069] For example, the CLTC test cycle is used as the first operating condition for illustration. The CLTC test cycle is a vehicle performance testing standard developed in China to accurately reflect actual road driving conditions. The CLTC test cycle simulates various driving scenarios, including urban congestion, suburbs, and highways, to more comprehensively evaluate a vehicle's fuel economy and emissions performance. Optionally, the CLTC test cycle includes three different speed ranges: low speed, medium speed, and high speed, to more realistically simulate various situations in daily driving. Low speed simulates urban congestion and low-speed driving scenarios. Medium speed simulates medium-speed driving scenarios such as urban suburbs or expressways. High speed simulates high-speed driving scenarios such as highways. The total working time of the CLTC test cycle is 1800 seconds. The cumulative driving distance reaches 14.48 kilometers. The maximum speed during the test can reach 114 kilometers per hour.

[0070] In some embodiments, taking the first operating condition as CLTC (Clearly Connected Vehicle) as an example, the first engine strategy (engine power generation strategy) and the second engine strategy (engine start-up strategy and engine shutdown strategy) are combined and used as constraints for the fuel consumption prediction simulation model to simulate the driving scenario of a range-extended vehicle under a CLTC condition. The simulation of the fuel consumption prediction model using the first and second engine strategies as constraints is as follows:

[0071] In some embodiments, the engine power generation of the range-extended vehicle under CLTC conditions is always controlled to cover the wheel-end power based on the first engine strategy. Optionally, initially, the range-extended vehicle is in a low-speed state and the engine is not started. When the vehicle speed reaches a certain speed threshold (the speed threshold for engine start), the engine is controlled to start to provide energy for the generator. When the vehicle speed is lower than a certain speed threshold (the speed threshold for engine shutdown), the engine is controlled to shut down to stop providing energy for the generator.

[0072] In some embodiments, the engine start-up point and engine stop-up point are adjusted based on a second engine strategy. Specifically, the engine start-up speed threshold (start-up point) of the range-extended vehicle is adjusted based on the engine start-up strategy, and the engine stop-up speed threshold (stop-up point) of the range-extended vehicle is adjusted based on the engine stop-up strategy. Optionally, the engine start-up point and stop-up point are adjusted with the goal of minimizing the difference between the first SOC and the second SOC, i.e., ensuring that the first SOC and the second SOC of the range-extended vehicle are as consistent as possible. This ensures that the battery charge at the beginning of the first operating condition and the battery charge at the end of the first operating condition are as consistent as possible. During this process, the engine in the range extender uses fuel consumption to supply power. At this time, the fuel consumption and electricity consumption of the range-extended vehicle under the CLTC operating condition are equivalent, and the fuel consumption prediction result of the range-extended vehicle can be obtained. Here, the first SOC is the SOC of the range-extended vehicle at the beginning of the CLTC operating condition, and the second SOC is the SOC of the range-extended vehicle at the end of the CLTC operating condition. Optionally, the fuel consumption prediction simulation model is based on input conditions (performance parameters and boundary parameters) to simulate and calculate the actual fuel consumption of the range-extended vehicle under the entire CLTC condition. The simulation calculation covers the entire driving cycle under the CLTC condition.

[0073] In summary, the method provided in this application creates a fuel consumption prediction model in a simulation system, inputs relevant parameters of the range-extended vehicle into the model, and uses a first engine strategy (engine power generation strategy) and a second engine strategy (engine start-up strategy and engine shutdown strategy) as constraints in the simulation calculation. The first engine strategy controls the engine power generation to always be greater than the wheel-end power, and the second engine strategy controls the engine to start or stop at appropriate times to provide energy for the generator, thus obtaining the fuel consumption prediction result for the range-extended vehicle. Furthermore, predicting the fuel consumption of range-extended vehicles can provide technical support for their development, and optimizing the first and second engine strategies can reduce the actual fuel consumption of range-extended vehicles.

[0074] In some embodiments, a first engine strategy is used to control the correspondence between engine power generation and wheel-end power. A second engine strategy is used to control engine start-up and shutdown. The fuel consumption prediction simulation model uses the first and second engine strategies as constraints to obtain fuel consumption prediction results. The first and second engine strategies are described in detail below.

[0075] For the first engine strategy:

[0076] In some embodiments, the first engine strategy is used to control the correspondence between engine power generation and wheel-end power. For example... Figure 3As shown, step 220 above can also be implemented as steps 221, 222, 223 and 224.

[0077] Step 221: Obtain the engine power generation curve;

[0078] Among them, the engine power generation curve is the power output curve of the engine generating electricity.

[0079] In some embodiments, performance parameters of the range extender are obtained, and a first operating curve is determined based on the performance parameters of the range extender. The first operating curve is the operating curve of the range extender. Optionally, an engine power generation curve is generated based on the first operating curve. The engine power generation curve is the power output curve of the engine generating electricity.

[0080] Optionally, the range extender includes an engine and a generator. The performance parameters of the range extender include the engine's universal characteristics, the generator efficiency curve, and the generator speed ratio. The engine's universal characteristics, also known as the engine universal characteristic curve, indicate the engine's performance at different speeds and torques. For example, the engine universal characteristic curve can indicate the engine's fuel consumption. Optionally, based on the engine universal characteristic curve, the engine's optimal efficiency range can be obtained; that is, within a certain speed range, the engine's output power is high and fuel consumption is low. This speed range can be called the "optimal efficiency range" or "economic speed." The generator efficiency curve, also known as the generator efficiency MAP, describes the generator's efficiency level at different speed and torque combinations. Generator efficiency refers to the efficiency of the generator in the range extender in converting the mechanical energy provided by the engine into electrical energy. Optionally, the generator efficiency MAP provides information on the generator's efficiency distribution at different speed and torque combinations. Based on the generator efficiency MAP, it can be determined that the generator can achieve higher efficiency (high-efficiency operating range) at preset speed and torque combinations. This helps test engineers adjust the generator's operating parameters to ensure it operates within the high-efficiency operating range for as long as possible, thereby improving energy utilization efficiency. The generator speed ratio refers to the proportional relationship between the engine speed and the generator speed. The generator speed ratio determines the speed matching between the engine and the generator.

[0081] In some embodiments, a first operating curve is determined based on the performance parameters of the range extender. The first operating curve is the operating curve of the range extender; ideally, it is the optimal operating curve for the range extender. Optionally, the first operating curve is determined based on the performance parameters of the range extender by: firstly, projecting the universal characteristics of the engine onto the generator efficiency curve through the speed increaser to obtain the equivalent performance data of the range extender on the generator; secondly, performing two-dimensional interpolation on the equivalent performance data to obtain denser performance data points; then, at each power point (a power point refers to the different power outputs produced by the engine of the range extender under different speed and torque conditions, each power point having its corresponding speed and torque), finding the corresponding lowest fuel consumption point among the performance data points obtained through two-dimensional interpolation; the lowest fuel consumption point represents the optimal operating condition of the range extender at that power point; finally, connecting the optimal fuel consumption points at all power points to form the first operating curve of the range extender (ideally the optimal operating curve). The first operating curve reflects how the range extender should adjust its operating parameters (such as speed and torque) to achieve optimal performance under different power demands.

[0082] In some embodiments, an engine power generation curve is generated based on a first operating curve. Since the engine in the range extender supplies power to the generator, providing energy, the engine power generation curve can also be understood as the power output curve of the engine generating electricity for the generator. The engine power generation curve reflects how the engine should adjust its output power to ensure the generator achieves optimal efficiency under different power demands. Optionally, each power point on the first operating curve of the range extender is matched with the generator efficiency curve, i.e., the operating point where the generator can operate efficiently (called the high-efficiency point) is found at the power point. Connecting the power points corresponding to the high-efficiency points forms the engine power generation line. On the engine power generation line, the generator's output power matches the power provided by the engine, and the generator operates in the high-efficiency operating region.

[0083] In this embodiment, by acquiring the performance parameters of the range extender and determining a first operating curve based on these parameters, it can be ensured that the range extender operates under the most efficient conditions. Furthermore, generating an engine power generation curve based on the first operating curve helps the generator operate in its efficient operating range.

[0084] Step 222: Obtain the overall vehicle resistance and first operating condition of the range-extended vehicle;

[0085] Among them, the overall vehicle resistance is used to indicate the resistance of the range-extended vehicle during driving. The first operating condition usually refers to a certain driving condition or scenario that is pre-set or selected in the simulation analysis. This application's embodiment uses the CLTC operating condition as an example for illustration.

[0086] In some embodiments, vehicle drag refers to the total resistance experienced by the range-extended vehicle during its operation in the first operating condition. Optionally, vehicle drag includes air resistance, rolling resistance, grade resistance, and acceleration resistance. Air resistance is related to the range-extended vehicle's speed, frontal area, and drag coefficient. Rolling resistance is related to the range-extended vehicle's weight and tire rolling resistance coefficient. Grade resistance is related to the slope of the incline and the vehicle's weight. Acceleration resistance is related to the range-extended vehicle's acceleration.

[0087] In some embodiments, in a simulation environment, the fuel consumption prediction model can determine the vehicle resistance based on relevant parameters, such as the rolling resistance based on the weight of the range-extended vehicle and the tire rolling resistance coefficient.

[0088] Step 223: Calculate the wheel-end power of the range-extended vehicle at different time points under the first working condition to obtain the wheel-end power range corresponding to the first working condition;

[0089] Wheel-end power refers to the actual output power of the wheels of a range-extended vehicle. Optionally, wheel-end power is the power of the range-extended vehicle after overcoming the overall vehicle resistance.

[0090] In some embodiments, taking the first operating condition as the CLTC condition as an example, the CLTC includes different speed stages to reflect acceleration, deceleration, and constant speed driving in actual driving. The total working time of the CLTC condition test is 1800 seconds. Optionally, the wheel-end power required by the range-extended vehicle at different times in the first operating condition is calculated. In the simulation model, the wheel-end power required in different time periods of the CLTC condition test needs to be calculated based on the speed change of the range-extended vehicle under the CLTC condition. Optionally, the calculated wheel-end power requirements are summarized to obtain a wheel-end power range, which can represent the minimum and maximum wheel-end power required by the range-extended vehicle under different driving stages in the entire CLTC condition. The different time periods can be fixed (e.g., every second or several seconds) or divided according to specific driving modes (e.g., acceleration, constant speed, deceleration, stopping, etc.). This application does not limit this.

[0091] Step 224: Generate the first engine strategy based on the first mapping relationship.

[0092] The first mapping relationship indicates that the wheel-end power in the wheel-end power range is less than the engine's power generation. Wheel-end power refers to the actual output power of the wheels of a range-extended vehicle. Engine power generation refers to the power generated by the engine through the combustion of fuel and its conversion into electrical energy by the generator. This engine power generation needs to be transmitted to the wheels of the range-extended vehicle through the transmission system.

[0093] In some embodiments, the power output at the wheel end is typically lower than the power generated by the engine due to efficiency losses in the power transmission system. Therefore, it is necessary to consider these efficiency losses to ensure that the power generated by the engine, after passing through the transmission system, meets the actual power demand at the wheel end.

[0094] For example, assume the transmission system efficiency is 95% (transmission efficiency), meaning only 95% of the engine's generated power can be transmitted to the wheels of the range-extended vehicle. If the wheel-end power requires 100KW to overcome resistance and maintain a certain vehicle speed, the engine's generated power is: Engine generated power = Wheel-end power / Transmission efficiency = 100KW / 95% ≈ 105.26KW.

[0095] In some embodiments, the fuel consumption prediction simulation model controls the correspondence between engine power generation and wheel-end power based on a first generator strategy. The first engine strategy is used to control the engine power generation to cover the wheel-end power, that is, to control the engine power generation to be greater than the wheel-end power.

[0096] In summary, in this embodiment, by acquiring the performance parameters of the range extender and determining a first operating curve based on these parameters, and further, generating an engine power generation curve based on the first operating curve, it helps the generator operate within its efficient operating range. By acquiring the vehicle's overall resistance and current operating condition (first operating condition) in real time, the wheel-end power required by the range extender at different times can be accurately calculated, helping to more precisely match power demand and avoid excessive or insufficient power output. Since the engine is controlled within the optimal power generation range, not only can power generation efficiency be improved, but fuel consumption and emissions can also be effectively reduced. Based on the correspondence between wheel-end power and engine power generation, it can be ensured that the engine operates in a safe and efficient state, avoiding inefficient operation and thus extending the service life of the engine and the entire transmission system.

[0097] Regarding the second engine strategy:

[0098] In some embodiments, the second engine strategy includes an engine start strategy and an engine stop strategy. The engine start strategy controls the starting of the engine, and the engine stop strategy controls the stopping of the engine.

[0099] Engine starting strategy:

[0100] like Figure 4 As shown, step 230 above can also be implemented as steps 231a, 232a, 233a and 234a.

[0101] Step 231a: Obtain the first vehicle speed threshold;

[0102] The first vehicle speed threshold is the vehicle speed threshold corresponding to engine startup in the range extender. Optionally, the first vehicle speed threshold can also be understood as the vehicle speed threshold corresponding to engine startup in the range extender providing energy to the generator.

[0103] In some embodiments, test engineers may refer to the test results of competing vehicles to set a first vehicle speed threshold, calculate the wheel end power corresponding to the first vehicle speed threshold, and then deduce the wheel end torque corresponding to the first vehicle speed threshold based on the calculated wheel end power.

[0104] Alternatively, the relationship between wheel-end power and wheel-end torque can be expressed as:

[0105] P w =T w ·w

[0106] Among them, P w T represents the wheel-end power. w Let represent the wheel-end torque, and 'w' represent the vehicle angular velocity of the range-extended vehicle. The relationship between vehicle angular velocity and vehicle speed is as follows:

[0107]

[0108] Therefore, the wheel-end power can also be expressed as:

[0109]

[0110] Among them, P w T represents the wheel-end power. w The value represents the wheel-end torque, v represents the vehicle speed of the range-extended vehicle, and r represents the wheel radius of the range-extended vehicle.

[0111] Step 232a: In response to the range-extended vehicle's speed exceeding a first speed threshold during operation, control the engine to start, thereby obtaining the engine's first start point;

[0112] The first vehicle speed threshold is the vehicle speed threshold corresponding to engine start-up in the range extender. The first start-up point is the vehicle speed at which the engine starts to supply power to the generator.

[0113] In some embodiments, in a simulation environment, the range-extended vehicle is simulated to drive under CLTC conditions. In the CLTC driving scenario, when the vehicle speed exceeds a first speed threshold, the engine in the range extender is started to provide energy for the generator in the range extender. Optionally, the wheel-end torque corresponding to the first speed threshold is set to a minimum value (or 0), representing the starting trigger value for the wheel-end torque. When the wheel-end torque demand corresponding to the vehicle speed exceeds the minimum value, it indicates that the engine needs to start. Optionally, the speed exceeding the first speed threshold during the range-extended vehicle's operation is set as the first starting point.

[0114] Step 233a: In response to the fact that the speed of the range-extended vehicle is less than the first speed threshold during driving, the engine is controlled not to start, and the first stop point of the engine is obtained.

[0115] The first stopping point is the vehicle speed at which the engine stops supplying power to the generator.

[0116] In some embodiments, in a simulation environment, the range-extended vehicle is simulated to drive under CLTC conditions. In the CLTC driving scenario, when the vehicle speed is lower than a first speed threshold, the engine in the range extender is prevented from starting, i.e., it stops supplying power to the generator in the range extender. Optionally, the wheel-end torque corresponding to the speed below the first speed threshold is set to a maximum value, representing the stop trigger value of the wheel-end torque, indicating that the engine does not need to start. Optionally, the speed of the range-extended vehicle below the first speed threshold during driving is set as the first stop point.

[0117] Step 234a: Based on the engine's first start point and first stop point, obtain the engine start strategy.

[0118] The engine starting strategy controls when the engine starts. In other words, it determines when to start the engine so the generator can charge the battery.

[0119] In some embodiments, engine starting refers to the process of the engine transitioning from a stationary state to an operating state. Engine starting can be understood as the engine providing an energy source to supply power to the generator.

[0120] In some embodiments, in the CLTC driving scenario, the speed of the range-extended vehicle exceeding a first speed threshold during driving is set as the first start point, and the speed of the range-extended vehicle below the first speed threshold during driving is set as the first stop point. The engine start MAP can be obtained based on the first start point and the first stop point.

[0121] In this embodiment, a first vehicle speed threshold is set by referring to the test results of competing vehicles. This first vehicle speed threshold is the vehicle speed threshold corresponding to engine start-up in the range extender. When the vehicle speed reaches or exceeds the set start-up speed threshold (first vehicle speed threshold), the engine starts promptly to provide energy for the generator. A reasonable engine start-up strategy can reduce frequent engine start-stop, reduce engine wear, and thus extend the engine's service life.

[0122] Engine shutdown strategy:

[0123] like Figure 5As shown, step 230 above can also be implemented as steps 231b, 232b, 233b and 234b.

[0124] Step 231b: Obtain the second vehicle speed threshold;

[0125] The second vehicle speed threshold is the vehicle speed threshold corresponding to the engine stopping in the range extender. Optionally, the second vehicle speed threshold can also be understood as the vehicle speed threshold corresponding to the engine in the range extender stopping to provide energy to the generator.

[0126] In some embodiments, the test engineer can define a power difference between the engine start MAP and the power output at a first vehicle speed threshold, calculate the wheel-end power corresponding to a second vehicle speed threshold based on the power difference, and then inversely deduce the wheel-end torque corresponding to the second vehicle speed threshold based on the wheel-end power. The inverse calculation process can refer to the formula in step 231a above, and will not be repeated here.

[0127] Step 232b: In response to the range-extended vehicle's speed exceeding the second speed threshold during operation, control the engine to keep running and obtain the engine's second start point;

[0128] The second vehicle speed threshold is the vehicle speed threshold corresponding to the engine stopping in the range extender. The second start point is the vehicle speed corresponding to the engine stopping to supply power to the generator.

[0129] In some embodiments, in a simulation environment, the range-extended vehicle is simulated to drive under CLTC conditions. In the CLTC driving scenario, when the vehicle speed exceeds a second speed threshold, the engine in the range extender is controlled to continue operating without stopping, thus continuing to supply power to the generator in the range extender. Optionally, the wheel-end torque corresponding to the second speed threshold is set to a minimum value (or can be set to 0). When the wheel-end torque demand corresponding to the vehicle speed exceeds the minimum value, it indicates that the engine needs to continue starting. Optionally, the speed exceeding the second speed threshold during the range-extended vehicle's operation is set as the second starting point.

[0130] Step 233b: In response to the fact that the speed of the range-extended vehicle is less than the second speed threshold during driving, control the engine to stop and obtain the second engine stop point;

[0131] The second stopping point is the vehicle speed at which the engine stops supplying power to the generator.

[0132] In some embodiments, in a simulation environment, the range-extended vehicle is simulated to drive under CLTC conditions. In the CLTC driving scenario, when the range-extended vehicle's speed is lower than a second speed threshold, the engine in the range extender is shut down, i.e., the power supply to the generator in the range extender is stopped. Optionally, the wheel-end torque corresponding to the speed below the second speed threshold is set to a maximum value, representing the shutdown trigger value of the wheel-end torque, indicating that the engine needs to be shut down. Optionally, the speed of the range-extended vehicle below the second speed threshold during driving is set as the second shutdown point.

[0133] Step 234b: Based on the engine's second start point and second stop point, obtain the engine shutdown strategy.

[0134] The engine shutdown strategy is used to control the shutdown of the engine. It can also be understood as determining when to stop the engine from running to generate electricity for the generator.

[0135] In some embodiments, engine shutdown refers to the process of the engine transitioning from an operating state to a stationary state. Engine shutdown can be understood as the engine ceasing to provide energy to the generator.

[0136] In some embodiments, in the CLTC driving scenario, the speed of the range-extended vehicle that is greater than the second speed threshold during driving is set as the second start point, and the speed of the range-extended vehicle that is lower than the second speed threshold during driving is set as the second stop point. The engine stop MAP can be obtained based on the second start point and the second stop point.

[0137] In some embodiments, the engine start-up and stop points are adjusted with the goal of minimizing the difference between the first SOC and the second SOC. This aims to ensure that the first and second SOCs of the range-extended vehicle are as consistent as possible, so that the battery charge at the start and end of the first operating condition is as consistent as possible. During this process, the engine in the range extender uses fuel consumption to supply electricity. In this case, the fuel consumption and electricity consumption of the range-extended vehicle under the CLTC operating condition are equivalent, allowing for a predicted fuel consumption result for the range-extended vehicle. Here, the first SOC is the SOC of the range-extended vehicle at the start of the CLTC operating condition, and the second SOC is the SOC of the range-extended vehicle at the end of the CLTC operating condition.

[0138] In this embodiment, a second vehicle speed threshold is set, which is the vehicle speed threshold corresponding to engine shutdown in the range extender. When the vehicle speed is lower than the set shutdown speed threshold (second vehicle speed threshold), the engine stops supplying power to the generator. This engine shutdown strategy helps save fuel consumption because, when the engine does not need to run, the range extender vehicle can rely on the electrical energy stored in the battery to maintain operation.

[0139] Figure 6 A structural block diagram of a fuel consumption prediction device according to an embodiment of this application is shown. This device has the function of implementing the above-described fuel consumption prediction method example; the function can be implemented in hardware or by hardware executing corresponding software. This device can be the server described above, or it can be installed within a server. Figure 6 As shown, the device 600 may include an acquisition module 610 and a simulation module 620.

[0140] Module 610 is used to acquire the fuel consumption prediction simulation model;

[0141] The acquisition module 610 is used to acquire a first engine strategy and use the first engine strategy as a first constraint condition of the fuel consumption prediction simulation model. The first engine strategy is used to control the correspondence between the engine power generation and the wheel end power.

[0142] The acquisition module 610 is used to acquire a second engine strategy and use the second engine strategy as a second constraint condition of the fuel consumption prediction simulation model. The second engine strategy is used to control the start and stop of the engine with the goal of keeping the SOC of the range-extended vehicle constant.

[0143] The simulation module 620 is used to perform simulation calculations on the fuel consumption prediction simulation model based on the first engine strategy and the second engine strategy to obtain the fuel consumption prediction results of the range-extended vehicle.

[0144] In some embodiments, the acquisition module 610 further includes an acquisition submodule, a calculation submodule, and a generation submodule.

[0145] In an optional example, a submodule is used to obtain the engine power generation curve, which is the power output curve of the engine generating electricity for the generator;

[0146] The acquisition submodule is used to acquire the overall vehicle resistance and the first operating condition of the range-extended vehicle, wherein the overall vehicle resistance is used to indicate the resistance of the range-extended vehicle during driving.

[0147] The calculation submodule is used to calculate the wheel-end power of the range-extended vehicle at different times under the first working condition, and obtain the wheel-end power range corresponding to the first working condition.

[0148] A generation submodule is used to generate the first engine strategy based on a first mapping relationship, wherein the first mapping relationship is used to indicate that the wheel-end power in the wheel-end power range is less than the engine power generation power.

[0149] In an optional example, a submodule is used to obtain the performance parameters of the range extender and determine a first operating curve based on the performance parameters, wherein the first operating curve is the operating curve of the range extender;

[0150] A generation submodule is used to generate an engine power generation curve based on the first working curve, wherein the engine power generation curve is the power output curve of the engine generating electricity for the generator.

[0151] In some embodiments, the acquisition module 610 further includes a control submodule.

[0152] In an optional example, a submodule is obtained to obtain the first vehicle speed threshold;

[0153] The control submodule is used to control the engine to start in response to the vehicle speed of the range-extended vehicle being greater than the first vehicle speed threshold during driving, thereby obtaining the first start point of the engine.

[0154] The control submodule is used to control the engine not to start in response to the vehicle speed of the range-extended vehicle being less than the first vehicle speed threshold during driving, thereby obtaining the first stop point of the engine.

[0155] A generation submodule is used to obtain the engine start-up strategy based on the engine's first start-up point and first stop-up point.

[0156] In an optional example, a submodule is obtained to obtain the second vehicle speed threshold;

[0157] The control submodule is used to control the engine to keep running and obtain the second start point of the engine in response to the vehicle speed of the range-extended vehicle being greater than the second vehicle speed threshold during driving.

[0158] The control submodule is used to control the engine to stop in response to the vehicle speed of the range-extended vehicle being less than the second vehicle speed threshold during driving, thereby obtaining the second stop point of the engine;

[0159] A generation submodule is used to obtain the engine shutdown strategy based on the engine's second start point and second stop point.

[0160] In some embodiments, the simulation module 620 further includes a simulation submodule, a control submodule, and an adjustment submodule.

[0161] In an optional example, the simulation submodule is used to control the range-extended vehicle to ensure that the engine power generation always covers the wheel-end power under the first operating condition, based on the first engine strategy.

[0162] The control submodule is used to control the engine to provide energy for generating electricity to the generator when the speed of the range-extended vehicle under the first operating condition is greater than the first speed threshold.

[0163] The adjustment submodule is used to adjust the first start point and the second stop point of the engine based on the second engine strategy with the goal of minimizing the difference between the first SOC and the second SOC, and to calculate the fuel consumption prediction result of the range-extended vehicle in the first operating condition. The first SOC is the SOC of the range-extended vehicle at the beginning of the first operating condition, and the second SOC is the SOC of the range-extended vehicle at the end of the first operating condition.

[0164] It should be noted that the specific limitations of the embodiments of the one or more fuel consumption prediction devices provided above can be found in the limitations of the fuel consumption prediction method above, and will not be repeated here. Each module of the above device can be implemented entirely or partially by software, hardware, or a combination thereof. Each module can be embedded in the processor of the computer device in hardware form or independent of the processor of the computer device, or it can be stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0165] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0166] Figure 7 This illustration shows a structural block diagram of a computer device 700 provided in an exemplary embodiment of this application. The computer device 700 may be a smartphone, tablet computer, MP3 player (Moving Picture Experts Group Audio Layer III), MP4 player (Moving Picture Experts Group Audio Layer IV), laptop computer, or desktop computer. The computer device 700 may also be referred to as a user device, portable terminal, laptop terminal, desktop terminal, or other names.

[0167] Typically, computer device 700 includes a processor 701 and a memory 702.

[0168] Processor 701 may include one or more processing cores, such as a quad-core processor, an octa-core processor, etc. Processor 701 may be implemented using at least one hardware form selected from DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). Processor 701 may also include a main processor and a coprocessor. The main processor, also known as a CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, processor 701 may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, processor 701 may also include an AI (Artificial Intelligence) processor, which is used to handle computational operations related to machine learning.

[0169] The memory 702 may include one or more computer-readable storage media, which may be non-transitory. The memory 702 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In some embodiments, the non-transitory computer-readable storage media in the memory 702 is used to store at least one instruction, which is executed by the processor 701 to implement the air filter operating status prompting method provided in the method embodiments of this application.

[0170] In some embodiments, the computer device 700 also includes other components, as those skilled in the art will understand. Figure 7 The structure shown does not constitute a limitation on the computer device 700, and may include more or fewer components than shown, or combine certain components, or use different component arrangements.

[0171] This application also provides an in-vehicle terminal, which includes a processor and a memory. The memory stores at least one instruction, at least one program, code set, or instruction set. The at least one instruction, at least one program, code set, or instruction set is loaded and executed by the processor to implement the fuel consumption prediction method provided in the above-described method embodiments.

[0172] Embodiments of this application also provide a computer-readable storage medium storing at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, at least one program, code set, or instruction set is loaded and executed by a processor to implement the fuel consumption prediction method provided in the above-described method embodiments.

[0173] Embodiments of this application also provide a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. The processor of the vehicle terminal reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the vehicle terminal to perform any of the fuel consumption prediction methods described in the above embodiments.

[0174] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by software, or by a program instructing related software to implement them. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

[0175] The above description is merely an optional embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A fuel consumption prediction method, characterized in that, Applied to range-extended vehicles, the range-extended vehicle including a range extender, the range extender including an engine and a generator, the method includes: Obtain a fuel consumption prediction simulation model; A first engine strategy is obtained and used as the first constraint condition of the fuel consumption prediction simulation model. The first engine strategy is used to control the correspondence between engine power generation and wheel-end power. A second engine strategy is obtained and used as a second constraint condition for the fuel consumption prediction simulation model. The second engine strategy is used to control the start and stop of the engine with the goal of maintaining the battery state of charge (SOC) of the range-extended vehicle unchanged. The fuel consumption prediction simulation model is simulated and calculated based on the first engine strategy and the second engine strategy to obtain the fuel consumption prediction result of the range-extended vehicle. The step of performing simulation calculations on the fuel consumption prediction simulation model based on the first engine strategy and the second engine strategy to obtain the fuel consumption prediction result of the range-extended vehicle includes: controlling the engine power generation of the range-extended vehicle to always cover the wheel-end power under the first operating condition based on the first engine strategy; controlling the engine to provide energy for the generator when the vehicle speed of the range-extended vehicle under the first operating condition is greater than a first vehicle speed threshold; and adjusting the first start point and the second stop point of the engine based on the second engine strategy with the goal of minimizing the difference between the first battery state of charge (SOC) and the second SOC, and calculating the fuel consumption prediction result of the range-extended vehicle under the first operating condition.

2. The method according to claim 1, characterized in that, The first engine strategy is an engine power generation strategy, and obtaining the first engine strategy includes: Obtain the engine power generation curve, which is the power output curve of the engine generating electricity for the generator; The overall vehicle resistance and first operating condition of the range-extended vehicle are obtained, wherein the overall vehicle resistance is used to indicate the resistance of the range-extended vehicle during driving. Calculate the wheel-end power of the range-extended vehicle at different times under the first working condition to obtain the wheel-end power range corresponding to the first working condition; The first engine strategy is generated based on the first mapping relationship, which is used to indicate that the wheel-end power in the wheel-end power range is less than the engine power generation power.

3. The method according to claim 2, characterized in that, The process of obtaining the engine power generation curve includes: Obtain the performance parameters of the range extender, and determine a first operating curve based on the performance parameters. The first operating curve is the operating curve of the range extender. An engine power generation curve is generated based on the first working curve. The engine power generation curve is the power output curve of the engine generating electricity for the generator.

4. The method according to claim 1, characterized in that, The second engine strategy includes an engine start-up strategy, and obtaining the second engine strategy includes: Obtain the first vehicle speed threshold; In response to the range-extended vehicle's speed exceeding the first speed threshold during operation, the engine is controlled to start, thus obtaining the engine's first start point; In response to the extended-range vehicle's speed being less than the first speed threshold during operation, the engine is controlled not to start, thus obtaining the first stop point of the engine; The engine start-up strategy is obtained based on the engine's first start-up point and first stop-up point.

5. The method according to claim 1, characterized in that, The second engine strategy includes an engine shutdown strategy, and obtaining the second engine strategy includes: Obtain the second vehicle speed threshold; In response to the range-extended vehicle's speed exceeding the second speed threshold during operation, the engine is controlled to start continuously, thereby obtaining the engine's second start point; In response to the extended-range vehicle's speed being less than the second speed threshold during operation, the engine is controlled to shut down, thereby obtaining the second shutdown point of the engine; The engine shutdown strategy is obtained based on the engine's second start point and second stop point.

6. The method according to claim 1, characterized in that, The first SOC is the SOC of the range-extended vehicle at the start of the first operating condition, and the second SOC is the SOC of the range-extended vehicle at the end of the first operating condition.

7. A fuel consumption prediction device, characterized in that, The device includes: The acquisition module is used to acquire the fuel consumption prediction simulation model; The acquisition module is used to acquire a first engine strategy and use the first engine strategy as the first constraint condition of the fuel consumption prediction simulation model. The first engine strategy is used to control the correspondence between the engine power generation and the wheel end power. The acquisition module is used to acquire the second engine strategy and use the second engine strategy as the second constraint condition of the fuel consumption prediction simulation model. The second engine strategy is used to control the start and stop of the engine with the goal of keeping the SOC of the range-extended vehicle constant. The simulation module is used to perform simulation calculations on the fuel consumption prediction simulation model based on the first engine strategy and the second engine strategy to obtain the fuel consumption prediction results of the range-extended vehicle. The range-extended vehicle includes a range extender, and the range extender includes an engine and a generator. The step of performing simulation calculations on the fuel consumption prediction simulation model based on the first engine strategy and the second engine strategy to obtain the fuel consumption prediction result of the range-extended vehicle includes: controlling the engine power generation of the range-extended vehicle to always cover the wheel-end power under the first operating condition based on the first engine strategy; controlling the engine to provide energy for the generator when the vehicle speed of the range-extended vehicle under the first operating condition is greater than a first vehicle speed threshold; and adjusting the first start point and the second stop point of the engine based on the second engine strategy with the goal of minimizing the difference between the first battery state of charge (SOC) and the second SOC, and calculating the fuel consumption prediction result of the range-extended vehicle under the first operating condition.

8. A computer device, characterized in that, The vehicle terminal includes a processor and a memory, wherein the memory stores at least one program, which is loaded and executed by the processor to implement the fuel consumption prediction method as described in any one of claims 1 to 6.

9. A computer storage medium, characterized in that, The computer storage medium stores at least one computer instruction, which is loaded and executed by a processor to implement the fuel consumption prediction method as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, The computer program product includes a computer program stored in a computer-readable storage medium; the computer program is read from and executed by a processor of a computer device, causing the computer device to perform the fuel consumption prediction method as described in any one of claims 1 to 6.

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