Range extender working condition determination method, device and equipment and readable storage medium

Abstract

The invention provides a range extender working condition determination method, device and equipment and a readable storage medium, and the method comprises the steps: obtaining working condition data of a range extender and a vehicle parameter set corresponding to the working condition data under different working condition points; based on the working condition data and the at least one type of state parameter subset, respectively establishing an association relationship between each type of state parameter subset and the working condition data; in the association relationship corresponding to each type of state parameter subset, determining key working condition data in each association relationship based on the values of the state parameters in the state parameter subset; and constructing a key condition set based on the at least one key condition data. The richness of working condition points of the range extender can be improved.

Description

Technical Field

[0001] The embodiments of the present disclosure relate to the technical field of range extenders, and in particular, to a method, device, electronic device, and computer-readable storage medium for determining an operating condition of a range extender. Background Art

[0002] Range-extended vehicles have the driving experience of pure electric vehicles and solve the problem of range anxiety, which is favored by consumers. Range-extended vehicles generate electricity through range extenders, which can provide electricity for the car. Under different working conditions (such as speed or torque), the vehicle has different performance in terms of power, energy consumption, etc. Therefore, it is necessary to clarify the appropriate range extender working point so that the vehicle has better performance.

[0003] At present, the selection of the range extender operating point is mainly based on multiple constraints such as power, energy consumption, emissions, and power balance. After making a balanced compromise, the range extender operating point is selected.

[0004] However, the current solution is an operating point obtained based on numerous constraints, which can only take into account various vehicle performance requirements as a whole, making the operating point single. Summary of the invention

[0005] In view of the above problems, the embodiments of the present disclosure are proposed to provide a method, device, electronic device and computer-readable storage medium for determining the operating condition of a range extender that overcome the above problems or at least partially solve the above problems.

[0006] In a first aspect, an embodiment of the present disclosure discloses a method for determining a range extender operating condition, comprising:

[0007] Under different operating points, operating data of the range extender and a set of vehicle parameters corresponding to the operating data are obtained; the set of vehicle parameters includes at least one type of state parameter subset, and different types of state parameter subsets are used to represent different vehicle operating states;

[0008] Based on the operating condition data and the at least one type of state parameter subset, respectively establishing an association relationship between each type of state parameter subset and the operating condition data;

[0009] In the association relationship corresponding to each type of state parameter subset, based on the value of the state parameter in the state parameter subset, determine the key operating condition data in each association relationship;

[0010] A key operating condition set is constructed based on at least one key operating condition data; the key operating condition set is used for the vehicle controller to determine the target operating condition data corresponding to the selection instruction when receiving the selection instruction, and control the operation of the range extender based on the target operating condition data.

[0011] In a second aspect, an embodiment of the present disclosure discloses a device for determining a range extender operating condition, comprising:

[0012] A data acquisition module, used for acquiring operating data of the range extender and a vehicle parameter set corresponding to the operating data at different operating points; the vehicle parameter set includes at least one type of state parameter subset, and different types of state parameter subsets are used to represent different vehicle operating states;

[0013] an association building module, configured to establish an association relationship between each type of state parameter subset and the operating condition data based on the operating condition data and the at least one type of state parameter subset;

[0014] A key operating condition module, used for determining key operating condition data in each association relationship in the association relationship corresponding to each type of state parameter subset based on the value of the state parameter in the state parameter subset;

[0015] An operating condition set module is used to construct a key operating condition set based on at least one key operating condition data; the key operating condition set is used for the vehicle controller to determine the target operating condition data corresponding to the selection instruction when receiving the selection instruction, and control the operation of the range extender based on the target operating condition data.

[0016] In a third aspect, an embodiment of the present disclosure further discloses an electronic device, including a processor and a memory, wherein the memory stores programs or instructions that can be executed on the processor, and when the program or instructions are executed by the processor, the steps of the method for determining the operating condition of the range extender as described in the first aspect are implemented.

[0017] In a fourth aspect, an embodiment of the present disclosure further discloses a computer-readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method for determining the operating condition of the range extender as described in the first aspect are implemented.

[0018] In the disclosed embodiment, the operating condition data of the range extender and the vehicle parameter set corresponding to the operating condition data can be obtained at different operating points, and based on the operating condition data and at least one type of state parameter subset, an association relationship between each type of state parameter subset and the operating condition data is established respectively; in the association relationship of each type of state parameter subset, based on the value of the state parameter in the state parameter subset, the key operating condition data in each association relationship is determined; based on at least one key operating condition data, a key operating condition set is constructed, which improves the richness of the operating condition points of the range extender, and at the same time makes it possible to realize different operating states of the vehicle based on the operating point corresponding to any operating condition data in the key operating condition set, thereby improving the flexibility of vehicle operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 is a step diagram of a method for determining a range extender operating condition provided by an embodiment of the present disclosure;

[0020] Figure 2 is a step diagram of another method for determining a range extender operating condition provided by an embodiment of the present disclosure;

[0021] Figure 3 is a flow chart for determining key operating condition data provided by an embodiment of the present disclosure;

[0022] Figure 4 is a schematic diagram of the universal characteristics of an engine provided by an embodiment of the present disclosure;

[0023] Figure 5 is a schematic diagram of the change in generator efficiency provided by an embodiment of the present disclosure;

[0024] Figure 6 is a flow chart of a construction efficiency adjustment strategy provided by an embodiment of the present disclosure;

[0025] Figure 7 is a flow chart of constructing a low noise adjustment strategy provided by an embodiment of the present disclosure;

[0026] Figure 8 is a schematic diagram of battery charge and discharge efficiency characteristics provided by an embodiment of the present disclosure;

[0027] Fig. 9 is a flow chart of constructing a power regulation strategy provided by an embodiment of the present disclosure;

[0028] Fig.10 is a block diagram of a device for determining a range extender operating condition provided by an embodiment of the present disclosure;

[0029] Fig.11 is a block diagram of an electronic device provided by an embodiment of the present disclosure;

[0030] Fig.12 It is a block diagram of another electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0031] The exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present application and to fully convey the scope of the present application to those skilled in the art.

[0032] Extended-range vehicles not only have the driving experience of pure electric vehicles, but also solve the problem of mileage anxiety, and are widely favored by current consumers. There are three main working modes of extended-range vehicles: pure electric mode, extended-range mode and energy recovery mode; among them, in pure electric mode and energy recovery mode, the range extender does not participate in the work, and the driving performance and comfort of the whole vehicle are good. In the extended-range mode, the range extender participates in the work to provide power for the vehicle. In the extended-range mode, the power, energy consumption and comfort of the whole vehicle are directly related to the operating point of the range extender. Among them, the operating point of the range extender can refer to the speed and torque of the range extender. The range extender includes an engine and a generator. The engine consumes energy such as gasoline to drive the generator to work, so that the generator can provide electricity for the battery of the range extender vehicle.

[0033] The selection of the power generation working point of the existing extended-range vehicle range extender is mainly based on multiple constraints such as power, energy consumption, emissions, and vehicle power balance. The optimization algorithm is used to perform multi-objective optimization, and the range extender working point is accurately selected after balancing various performances. Although this range extender strategy has improved the overall performance of the vehicle, it has not taken into account the differentiated needs of different users for vehicle performance, resulting in users being unable to experience the single extreme performance of the vehicle in the extended-range mode, which reduces the driving experience.

[0034] Figure 1 A step diagram of a method for determining a range extender operating condition provided by an embodiment of the present disclosure is shown, and the method includes:

[0035] Step 101, obtaining operating data of the range extender and a vehicle parameter set corresponding to the operating data at different operating points; the vehicle parameter set includes at least one type of state parameter subset, and different types of state parameter subsets are used to represent different vehicle operating states;

[0036] In the disclosed embodiment, different operating points refer to the range extender operating at different speeds, torques and other parameters, and the operating data at different operating points are the corresponding speeds, torques, etc. At different operating points, the vehicle parameters of the vehicle are also different. The vehicle parameters may be the acceleration time per 100 kilometers (the acceleration time of the vehicle from rest to 100 kilometers per hour), the NVH (Noise, Vibration, Harshness) of the whole vehicle, and the energy consumption per 100 kilometers. For example, the faster the speed of the range extender, the greater the acceleration of the vehicle, the greater the NVH, and the greater the energy consumption.

[0037] Different types of state parameters can be constructed as state parameter subsets, and the overall vehicle parameter set includes at least one type of state parameter subset, such as the above-mentioned NVH state parameter subset, energy consumption state parameter subset, etc. Each state parameter in each state parameter subset represents the vehicle operating state at a specific range extender operating point, that is, the acceleration, NVH and energy consumption states. The type, content and quantity of the state parameters are not specifically limited here.

[0038] Step 102, based on the operating condition data and the at least one type of state parameter subset, respectively establish an association relationship between each type of state parameter subset and the operating condition data;

[0039] At each operating point, there are corresponding operating data and corresponding state parameters. For example, the operating data at operating points A, B, and C are x1, x2, and x3, respectively, and the state parameters at operating points A, B, and C can be y1, y2, and y3. It should be noted that since state parameters can be of multiple types, state parameters y1, y2, and y3 can include multiple state parameters.

[0040] If there is a corresponding relationship between x1, x2, x3 and y1, y2, y3, then the association relationship between each type of state parameter subset and the operating condition data can be established based on the operating condition data and at least one type of state parameter subset. The operating condition data can be used as the horizontal coordinate and a single state parameter subset as the vertical coordinate to construct an association diagram, and a universal characteristic diagram (MAP diagram) can be drawn based on the nonlinear mapping relationship between the state parameter subset and the operating condition data. The functional relationship between each state parameter subset and the operating condition data is fitted based on the MAP diagram to obtain the objective function. The association relationship can also be constructed based on other mathematical methods such as functions.

[0041] Step 103, in the association relationship corresponding to each type of state parameter subset, based on the value of the state parameter in the state parameter subset, determine the key operating condition data in each association relationship;

[0042] In each association relationship, the key operating condition data in each association relationship is determined based on the value of the state parameter in the corresponding state parameter subset. According to the type and meaning of the state parameter, the operating condition data corresponding to the maximum value or the minimum value, i.e., the key operating condition data, can be determined based on the maximum value or the minimum value of the state parameter in the state parameter subset. It can be understood that if there are multiple maximum values ​​or minimum values ​​at the same time, there can be multiple key operating condition data.

[0043] For example, if the state parameter is energy consumption, in order to make the vehicle more fuel-efficient, the corresponding key operating condition data can be determined based on the minimum energy consumption state parameter; if the state parameter is the acceleration time from 0 to 100 km / h, in order to make the vehicle more powerful, the corresponding key operating condition data can be determined based on the maximum acceleration time from 0 to 100 km / h.

[0044] Step 104, constructing a key operating condition set based on at least one key operating condition data; the key operating condition set is used for the vehicle controller to determine the target operating condition data corresponding to the selection instruction when receiving the selection instruction, and control the operation of the range extender based on the target operating condition data.

[0045] The key operating condition data in the association relationship corresponding to different types of state parameter subsets can be combined to construct a key operating condition set. It can be understood that since the key operating condition set contains key operating condition data in different association relationships, different key operating condition data correspond to different types of state parameter subsets and correspond to different vehicle operating states.

[0046] Therefore, any key operating condition data selected in the key operating condition set represents the operating state of a specific type of vehicle. Then, in the process of the vehicle controller controlling the range extender, if a selection instruction is received, the target operating condition data corresponding to the selection instruction can be determined in the key operating condition set, and the range extender operation can be controlled based on the target operating condition data, so that the vehicle can achieve a specific operating state. For example, if the target operating condition data corresponding to NVH is selected, the vehicle controller controls the range extender to operate with the target operating condition data, and the NVH of the vehicle can be very small at this time. Other key operating condition data in the key operating condition set can also be selected to achieve different operating states of the vehicle, such as a shorter acceleration time from 0 to 100 kilometers and lower energy consumption. Therefore, by selecting rich operating condition data in the key operating condition set, the vehicle can achieve various focused and directional operating states.

[0047] In summary, by implementing the embodiments of the present disclosure, it is possible to obtain the operating condition data of the range extender and the vehicle parameter set corresponding to the operating condition data at different operating points, and to establish an association relationship between each type of state parameter subset and the operating condition data based on the operating condition data and at least one type of state parameter subset; in the association relationship of each type of state parameter subset, based on the value of the state parameter in the state parameter subset, determine the key operating condition data in each association relationship; construct a key operating condition set based on at least one key operating condition data, so that different operating states of the vehicle can be achieved based on the operating point corresponding to any operating condition data in the key operating condition set, thereby improving the richness of the range extender operating points and the flexibility of vehicle operation.

[0048] refer to Figure 2, which shows a step diagram of a method for determining a range extender operating condition provided by an embodiment of the present disclosure, the method comprising:

[0049] Step 201, obtaining operating data of the range extender and a vehicle parameter set corresponding to the operating data at different operating points; the vehicle parameter set includes at least one type of state parameter subset, and different types of state parameter subsets are used to represent different vehicle operating states;

[0050] Step 202, based on the operating condition data and the at least one type of state parameter subset, respectively establish an association relationship between each type of state parameter subset and the operating condition data;

[0051] Step 203, in the association relationship corresponding to each type of state parameter subset, based on the value of the state parameter in the state parameter subset, determine the key operating condition data in each association relationship;

[0052] Step 204, constructing a key operating condition set based on at least one key operating condition data; the key operating condition set is used for the vehicle controller to determine the target operating condition data corresponding to the selection instruction when receiving the selection instruction, and control the operation of the range extender based on the target operating condition data.

[0053] The above steps 201-204 can refer to the above Figure 1 The contents of the embodiments will not be described in detail here.

[0054] Optionally, before the step 204 of building a key operating condition set based on at least one key operating condition data, the method further includes:

[0055] Step A1, based on the operating condition data, fusing the association relationship corresponding to the at least one type of state parameter subset to obtain a fused relationship; each operating condition data in the fused relationship corresponds to at least one type of state parameter;

[0056] Step A2, in the fusion relationship, determining reference operating condition data; the sum of the values ​​of at least one type of state parameter corresponding to the reference operating condition data is greater than the sum of the values ​​of at least one type of state parameter corresponding to other operating condition data;

[0057] Step A3, determining a first value of a state parameter corresponding to the key operating condition data, and a target type to which the state parameter belongs;

[0058] Step A4, determining a second value of a state parameter belonging to the target type among at least one type of state parameters of the reference operating condition data, and determining whether a difference between the first value and the second value is greater than a preset screening threshold.

[0059] In the disclosed embodiment, since different association relationships are constructed based on the same operating condition data, different association relationships can be merged based on the common operating condition data. For example, when the association relationship is a curve graph with the operating condition data as the horizontal coordinate and the state parameter as the vertical coordinate, multiple association relationships can be merged into the same coordinate system.

[0060] It can be understood that, since the association relationship of each type of state parameter subset is fused, each operating condition data corresponds to at least one type of state parameter in the fused relationship.

[0061] In the fusion relationship, reference operating condition data is determined. The sum of the values ​​of at least one type of state parameter corresponding to the selected reference operating condition data is greater than the sum of the values ​​of at least one type of state parameter corresponding to other operating condition data. For example, reference operating condition data A corresponds to state parameters a1, a2 and a3, and other operating condition data B corresponds to state parameters b1, b2 and b3. The sum of the values ​​of a1, a2 and a3 can be x1, and the sum of the values ​​of b1, b2 and b3 can be x2. Then x1 needs to be always greater than x2. Other operating condition data is any other operating condition data except the reference operating condition data.

[0062] The reference operating condition data corresponds to the result of a multi-objective optimization, that is, different types of state parameters are taken into account at the same time, such as energy consumption and NVH. The result of the multi-objective optimization corresponding to the reference operating condition data can balance the performance of the vehicle as a whole, rather than focusing only on energy consumption or only on NVH.

[0063] Key operating condition data only focuses on specific aspects of vehicle performance, such as energy consumption or NVH. Key operating condition data in different correlations correspond to focusing on a single different aspect.

[0064] Determine a first value of a state parameter corresponding to the key operating condition data and a target type of the state parameter. Then, among at least one type of state parameter corresponding to the reference operating condition data, determine a state parameter belonging to the target type and its second value, so that the key operating condition data and the reference operating condition data are compared for parameters of the same type, and determine that the difference between the first value and the second value is greater than a preset screening threshold.

[0065] It should be noted that for different types of status parameters, on the basis that the difference between the first value and the second value is greater than the preset screening threshold, the first value also needs to be greater than the second value, or the second value needs to be greater than the first value. For example, when the status parameter is NVH, the first value needs to be less than the second value, and the difference between the two is greater than the preset screening threshold, so that the status parameters corresponding to the filtered key operating condition data are better than the same type of status parameters in the reference operating condition data. When the status parameter is the acceleration time from 0 to 100 km / h, the first value needs to be greater than the second value, and the difference between the two is greater than the preset screening threshold, so that the status parameters corresponding to the filtered key operating condition data are better than the same type of status parameters in the reference operating condition data. The key operating condition data corresponding to other types of status parameters are also screened in a similar manner, which will not be repeated here.

[0066] It is understandable that the reference operating data is actually the optimization result of multiple objectives and multiple constraints, focusing on the balance of various aspects of vehicle performance, so the reference operating data is single. The key operating data is the optimization result of a single objective and single constraint, focusing on a single aspect of vehicle performance, so it can have a higher richness.

[0067] Optionally, the step of obtaining the operating data of the range extender at different operating points includes:

[0068] Determine characteristic parameters corresponding to different operating points in the preset operating point description data; the operating point description data includes each operating point and its corresponding characteristic parameters;

[0069] For each operating point, when the characteristic parameter satisfies a preset first selection condition, determining the operating point as an available operating point;

[0070] Under different available operating points, the operating data of the range extender is obtained.

[0071] In the disclosed embodiment, when obtaining the operating data of the range extender at different operating points, the operating points may be screened first to exclude some operating points that may cause a significant deterioration in vehicle performance.

[0072] The characteristic parameters corresponding to different operating points can be determined in the preset operating point description data. The operating point description data can include each operating point and its corresponding characteristic parameters. The characteristic parameters can be emission parameters corresponding to the operating point, such as emission volume, or NVH, energy consumption, etc., which are similar to state parameters. It should be noted that the NVH, energy consumption and other parameters in the operating point description data are pre-tested, while the state parameters of each of the above steps are obtained based on real-time testing of different operating points.

[0073] Similarly, the preset first selection condition is a condition on a characteristic parameter, for example, a screening threshold corresponding to a specific parameter is defined. When the characteristic parameter is greater than the screening threshold, the first selection condition is considered to be satisfied, and the operating point is determined to be an available operating point. Further, based on the available operating point screened out, the operating data of the range extender is obtained.

[0074] By implementing the embodiments of the present disclosure, by screening different operating points, it is possible to pre-determine available operating points with better performance, and then obtain the operating data of the range extender based on the available operating points, which can reduce the amount of data processing and improve the efficiency of determining key operating data.

[0075] Figure 3 is a flow chart for determining key operating condition data provided by an embodiment of the present disclosure;

[0076] Step 301, preliminarily formulate available operating points according to the first selection condition (target vehicle energy consumption, 100 km / h acceleration time and NVH index, etc.);

[0077] Step 302: Obtain operating data (speed, torque, etc.) and vehicle status parameters (engine fuel consumption, generator efficiency, range extender vibration / noise, etc.) through range extender bench testing.

[0078] Step 303, establishing a nonlinear mapping relationship between fuel consumption, vibration / noise, and range extender speed and torque, and drawing a MAP diagram;

[0079] Step 304, fitting the functional relationship between the state parameter subset and the operating condition data to obtain the target function;

[0080] Step 305, based on the above different objective functions, single-objective optimization and multi-objective optimization are performed on the range extender operating point;

[0081] Step 306, obtaining single-objective optimization: key operating data of power, key operating data of NVH, key operating data of energy consumption, etc.;

[0082] Step 307, determining whether the multi-objective optimization of the reference operating condition data is improved by 30% (preset screening threshold);

[0083] Step 308, if it is determined that the single target is improved by 30% over the other targets, three operating points of the range extender are calibrated: key operating data of power, key operating data of NVH power, and key operating data of energy consumption power, so as to obtain a key operating set. Otherwise, the process reenters step 301 to start the cycle.

[0084] Optionally, the method further includes:

[0085] For each type of state parameter subset, determining a target state parameter in the state parameter subset that satisfies a preset second selection condition;

[0086] Based on the target state parameters and the corresponding operating condition data, construct an operating condition adjustment strategy;

[0087] Among them, different operating condition adjustment strategies are used to achieve different vehicle operation modes, and the vehicle operation mode is associated with the vehicle operation state.

[0088] In the embodiment of the present disclosure, for each type of state parameter subset, the target state parameter in the state parameter subset can be determined based on the corresponding preset second selection condition. Each type of state parameter subset can correspond to a different second selection condition. For example, when the state parameter subset contains NVH state parameters, the second selection condition can be less than a specific NVH threshold, thereby selecting a target state parameter with a smaller NVH in the state parameter subset. It can be understood that there can be multiple target state parameters that meet the second selection condition.

[0089] Based on the target state parameters and their corresponding operating condition data, an operating condition adjustment strategy is constructed, and the operating condition adjustment strategy includes multiple target state parameters that meet the second selection condition and the operating condition data corresponding to each target state parameter. Different operating condition adjustment strategies are used to achieve different vehicle operation modes, and the vehicle operation mode is associated with the vehicle operation state. The vehicle operation mode can be a low noise mode, a power mode, a saving mode, etc. The low noise mode corresponds to the noise state in the vehicle operation state, and the saving mode corresponds to the energy consumption state in the vehicle operation state.

[0090] For example, the state parameter subset includes NVH state parameters, and the corresponding working condition adjustment strategy can be called a low noise adjustment strategy, which can be used to achieve a low noise operation mode of the vehicle. The noise of the vehicle will be lower when running based on the low noise adjustment strategy. Similarly, other working condition adjustment strategies such as energy consumption working condition adjustment strategies and power working condition adjustment strategies can also be included.

[0091] Optionally, the state parameter subset is an energy consumption power subset;

[0092] The step of determining, for each type of state parameter subset, a target state parameter in the state parameter subset that satisfies a preset second selection condition comprises:

[0093] Determining at least one conversion efficiency parameter based on energy consumption parameters and power generation parameters in the energy consumption power subset; the energy consumption parameters are used to represent the energy consumption of the engine in the range extender, and the power generation parameters are used to represent the power generation capacity of the generator in the range extender;

[0094] Based on the at least one conversion efficiency parameter, a target conversion efficiency parameter greater than a preset conversion threshold is determined.

[0095] In the embodiment of the present disclosure, the state parameter subset is an energy consumption power subset. Since energy consumption needs to take into account energy consumption and output, the energy consumption power subset of the range extender may include energy consumption parameters and power generation parameters. The energy consumption parameters represent the energy (for example, gasoline) consumption rate of the generator in the range extender, and the power generation parameters represent the power generation power of the generator in the range extender. When the energy consumption parameters are large and the power generation power is large, it can be considered that the energy consumption is not high. When the energy consumption parameters are large and the power generation power is small, it can be considered that the energy consumption is high.

[0096] Therefore, based on the energy consumption parameters and power generation parameters under the same operating condition, the conversion efficiency parameters under the operating condition can be calculated to represent the oil-to-electricity conversion rate of the range extender. When the oil-to-electricity conversion rate is low, the energy consumption is high. Based on multiple sets of energy consumption parameters and power generation parameters under multiple operating conditions, multiple conversion efficiency parameters can be determined. Similarly, a preset conversion threshold can be set, and the conversion efficiency parameter greater than the preset conversion threshold is the target conversion efficiency parameter. Then, at the operating point corresponding to the target conversion efficiency parameter, the energy consumption is lower.

[0097] Figure 4 is a schematic diagram of the universal characteristics of an engine provided by an embodiment of the present disclosure; Figure 4 The horizontal axis is the engine speed, and the vertical axis is the engine torque. Figure 4 The coordinate system shows the fuel consumption at different range extender operating points (speed and torque). In the coordinate system, the fuel consumption on each curve is consistent, which means that even at different speeds and torques, the fuel consumption may be the same. Figure 4 The engine's minimum fuel consumption range can be determined.

[0098] Figure 5 is a schematic diagram of the change in generator efficiency provided by an embodiment of the present disclosure; Figure 5 The horizontal axis is the engine speed, and the vertical axis is the engine torque. Figure 5 The coordinate system shows the change in efficiency at different range extender operating points (speed and torque). In the coordinate system, the efficiency on each curve is consistent, which means that even at different speeds and torques, the efficiency may be the same. Figure 5 The highest efficiency range of the generator can be determined.

[0099] Optionally, after the step of constructing an efficiency adjustment strategy based on the target conversion efficiency parameter and its corresponding operating condition data, the following steps are included:

[0100] Based on the preset working condition usage frequency parameters, different weights are assigned to the target conversion efficiency parameters corresponding to different working condition data;

[0101] Calculating the comprehensive conversion efficiency of the efficiency adjustment strategy based on each target conversion efficiency parameter and its corresponding weight;

[0102] When the comprehensive conversion efficiency does not reach the preset comprehensive efficiency threshold, the step of determining the target conversion efficiency parameter that meets the preset conversion threshold based on the at least one conversion efficiency parameter is entered, and the efficiency adjustment strategy is reconstructed until the comprehensive conversion efficiency reaches the preset comprehensive efficiency threshold.

[0103] In the disclosed embodiment, after determining the target conversion efficiency and constructing the efficiency adjustment strategy, the efficiency adjustment strategy may also be analyzed to determine whether the current efficiency adjustment strategy can effectively reduce energy consumption and increase power generation.

[0104] Different weights can be assigned to the target conversion efficiency parameters corresponding to different operating condition data based on the preset operating condition usage frequency parameters. The operating condition usage frequency parameters indicate the frequency of different operating conditions used in vehicle driving. For example, the engine of the range extender usually does not operate at extremely high or extremely low speed torque. Correspondingly, the power of the generator of the range extender is usually not extremely high or extremely low. Therefore, the usage frequency of different operating conditions is different. The operating condition usage data of the range extender can be recorded, stored and analyzed by the vehicle controller to obtain the operating condition usage frequency parameters.

[0105] For operating points that are used frequently, a larger weight is assigned to the target conversion efficiency parameter corresponding to the corresponding operating data, and for operating points that are used less frequently, a smaller weight is assigned to the target conversion efficiency parameter corresponding to the corresponding operating data.

[0106] After completing the weight allocation, the comprehensive conversion efficiency of the current efficiency adjustment strategy can be calculated based on each target conversion efficiency parameter and its corresponding weight. The comprehensive conversion efficiency can reflect the energy consumption and power generation of the current efficiency adjustment strategy as a whole.

[0107] When the comprehensive conversion efficiency does not reach the preset comprehensive efficiency threshold, the step of determining a target conversion efficiency parameter that meets the preset conversion threshold based on at least one conversion efficiency parameter is entered, the target conversion efficiency parameter is re-determined, and an efficiency adjustment strategy is constructed until the comprehensive conversion efficiency of the efficiency adjustment strategy reaches the preset comprehensive efficiency threshold.

[0108] Figure 6 is a flow chart of a construction efficiency adjustment strategy provided by an embodiment of the present disclosure;

[0109] Step 601, performing a universal characteristic bench test of the engine, and then obtaining relevant data on engine energy consumption and operating conditions;

[0110] Step 602, performing a generator efficiency bench test to obtain data related to generator power and operating conditions;

[0111] Step 603, calculating the conversion efficiency parameter of the range extender;

[0112] Step 604, determining target conversion efficiency parameters and operating condition data, and constructing an efficiency adjustment strategy;

[0113] Step 605, optimizing the efficiency adjustment strategy based on the weight;

[0114] Step 606, performing a stage road test based on the engineering prototype to iteratively verify the efficiency adjustment strategy;

[0115] Step 607, evaluating the efficiency adjustment strategy based on mass-produced vehicles;

[0116] Step 608, configure the efficiency adjustment strategy for the mass-produced vehicle.

[0117] Table 1 below is the working condition data table before weight distribution:

[0118] Table 1

[0119] Power generation Speed Torque Oil-to-electricity conversion rate 5 1100 48.1 2.65 18 2000 93.4 3.21 30 3100 103.1 3.22 50 4050 127.71 3.05

[0120] It is understandable that there can be more data in Table 1, and when performing weight allocation to calculate the comprehensive conversion rate, some data can be selected for calculation based on Table 1, for example, selecting 1 data from 3 consecutive rows of data, so as to simplify the amount of data calculation and ensure higher accuracy.

[0121] Table 2 below is the working condition data table after weight distribution:

[0122] Table 2

[0123] Power generation Weight Speed Torque Oil-to-electricity conversion rate 5 3％ 1100 48.1 2.65 18 10％ 2000 93.4 3.21 30 10％ 3100 103.1 3.22 50 3％ 4050 127.71 3.05

[0124] In Table 2, when the power generation capacity is 5 (kW), it is a seldom used condition, so the weight can be 3%. Similarly, when the power generation capacity is 50, it is also a seldom used condition, so the weight can also be 3%. When the power generation capacity is 18 and 30, they are both frequently used conditions, so the weight can be 10%.

[0125] In the embodiments of the present disclosure, different weights can be assigned to different target conversion efficiency parameters based on the operating condition usage frequency parameters, and then the comprehensive conversion efficiency of the efficiency adjustment strategy is calculated. When the comprehensive conversion efficiency does not reach the preset comprehensive efficiency threshold, the efficiency adjustment strategy is reconstructed, which can improve the effectiveness of the efficiency adjustment strategy and thereby improve the energy consumption performance and power generation performance of the range extender.

[0126] Optionally, the state parameter subset is a vehicle noise parameter subset;

[0127] The step of determining, for each type of state parameter subset, a target state parameter in the state parameter subset that satisfies a preset second selection condition comprises:

[0128] Based on at least one vehicle noise parameter in the vehicle noise parameter subset, a target vehicle noise parameter that is less than a preset vehicle noise threshold is determined.

[0129] In the disclosed embodiment, the state parameter subset may be a vehicle noise parameter subset. Similarly, among at least one vehicle noise parameter in the vehicle noise parameter subset, a target vehicle noise parameter that is less than a preset vehicle noise threshold is determined, and a corresponding low noise adjustment strategy is constructed.

[0130] Figure 7 is a flow chart of constructing a low noise adjustment strategy provided by an embodiment of the present disclosure;

[0131] Step 701, based on Computer Aided Engineering (CAE) analysis and modal planning, simulate and calculate the range extender excitation load, in-vehicle vibration and noise evaluation, and vehicle modal planning, perform a range extender NVH bench test, and obtain vehicle noise parameters;

[0132] Step 702, determining a preset vehicle noise threshold based on the NVH requirement of the range extender's inductive power generation;

[0133] Step 703, submitting the requirements for the first round of calibration reference to determine the target vehicle noise parameters;

[0134] Step 704, constructing the initial version of VCU control logic, i.e., low noise adjustment strategy;

[0135] Step 705, performing a stage road test based on the engineering prototype to iteratively verify the low noise adjustment strategy;

[0136] Step 706, evaluating the low noise adjustment strategy based on mass-produced vehicles;

[0137] Step 707: The mass-produced vehicle is configured with a low noise adjustment strategy.

[0138] In addition, a power regulation strategy can be constructed, and constant power and multi-point power following control strategies can be adopted. The switching of the range extender operating point is mainly determined by the remaining battery power (SOC, State of Charge) and the vehicle speed. The constant power and multi-point power following control strategies are shown in Table 3 below:

[0139]

[0140] In addition, if the battery SOC is lower than 0.15 and the vehicle speed is lower than 25 kilometers per hour, the VCU will force the range extender generator to start generating electricity; when the battery SOC is lower than 0.45 and the vehicle speed is ≥25km / h, the VCU will automatically start the range extender.

[0141] Figure 8 is a schematic diagram of battery charge and discharge efficiency characteristics provided by an embodiment of the present disclosure; Figure 8 The horizontal axis is SOC, and the vertical axis is the charge and discharge efficiency. Figure 8 In the figure, line 801 corresponds to the horizontal axis SOC min (the specific SOC value can be adjusted), the left side of line 801 is the unusable area and the right side is the usable area. The unusable area means that when the battery SOC is in the range of 0 to SOC min, the vehicle tries not to use the battery to avoid battery loss. The usable area means that when the battery SOC is in the range of SOC min to 1, the battery can be used. In the usable area, the horizontal axis SOC low (the specific SOC value can be between 0.15 and 0.18) corresponds to line 802, and the horizontal axis SOC high (the specific SOC value can be between 0.55 and 0.75) corresponds to line 803, which together divide the usable area into 2 low-efficiency areas and 1 high-efficiency area. In the high-efficiency area, the battery's charging and discharging efficiency is high, which can provide better power for the vehicle. Therefore, the range extender can be controlled to keep the battery SOC always within the SOC range of the high-efficiency area.

[0142] Fig. 9 is a flow chart of constructing a power regulation strategy provided by an embodiment of the present disclosure;

[0143] Step 901, selecting an engine and a generator based on the vehicle power performance index;

[0144] Step 902, determining the battery charge and discharge efficiency characteristics;

[0145] Step 903, constructing a power regulation strategy based on the battery charging and discharging efficiency characteristics;

[0146] Step 904, determining the operating point according to the power regulation strategy;

[0147] Step 905, forming VCU control logic based on the power regulation strategy;

[0148] Step 906, iterative verification based on road test of engineering prototype vehicle stage;

[0149] Step 907, evaluation based on mass-produced vehicles;

[0150] Step 908, configure control logic for the mass-produced vehicle VCU.

[0151] In summary, in the embodiments of the present disclosure, the operating condition data of the range extender and the vehicle parameter set corresponding to the operating condition data can be obtained at different operating points, and based on the operating condition data and at least one type of state parameter subset, an association relationship between each type of state parameter subset and the operating condition data is established respectively; in the association relationship of each type of state parameter subset, based on the value of the state parameter in the state parameter subset, the key operating condition data in each association relationship is determined; based on at least one key operating condition data, a key operating condition set is constructed, so that different operating states of the vehicle can be realized based on the operating point corresponding to any operating condition data in the key operating condition set, thereby improving the richness of the range extender operating points and the flexibility of vehicle operation.

[0152] refer to Fig.10 , which shows a range extender operating condition determination device 100 provided by an embodiment of the present disclosure, comprising:

[0153] The data acquisition module 1001 is used to acquire the operating data of the range extender and the vehicle parameter set corresponding to the operating data at different operating points; the vehicle parameter set includes at least one type of state parameter subset, and different types of state parameter subsets are used to represent different vehicle operating states;

[0154] An association building module 1002 is used to establish an association relationship between each type of state parameter subset and the operating condition data based on the operating condition data and the at least one type of state parameter subset;

[0155] The key operating condition module 1003 is used to determine the key operating condition data in each association relationship in the association relationship corresponding to each type of state parameter subset based on the value of the state parameter in the state parameter subset;

[0156] The operating condition set module 1004 is used to construct a key operating condition set based on at least one key operating condition data; the key operating condition set is used for the vehicle controller to determine the target operating condition data corresponding to the selection instruction when receiving the selection instruction, and control the operation of the range extender based on the target operating condition data.

[0157] Optionally, the device further comprises:

[0158] A data fusion module, configured to fuse the association relationship corresponding to the at least one type of state parameter subset based on the operating condition data to obtain a fusion relationship; each operating condition data in the fusion relationship corresponds to at least one type of state parameter;

[0159] A reference operating condition module, used to determine reference operating condition data in the fusion relationship; the sum of the values ​​of at least one type of state parameter corresponding to the reference operating condition data is greater than the sum of the values ​​of at least one type of state parameter corresponding to other operating condition data;

[0160] A first numerical module, used to determine a first numerical value of a state parameter corresponding to the key operating condition data, and a target type to which the state parameter belongs;

[0161] The second numerical module is used to determine a second numerical value of a state parameter belonging to the target type among at least one type of state parameters of the reference operating condition data, and to determine that a difference between the first numerical value and the second numerical value is greater than a preset screening threshold.

[0162] Optional, data acquisition module, including:

[0163] The operating condition characteristic submodule is used to determine the characteristic parameters corresponding to different operating condition points in the preset operating condition point description data; the operating condition point description data includes each operating condition point and its corresponding characteristic parameters;

[0164] An available operating condition submodule, for each operating condition point, when the characteristic parameter satisfies a preset first selection condition, determining the operating condition point as an available operating condition point;

[0165] The data acquisition submodule is used to acquire the operating data of the range extender at different available operating points.

[0166] Optionally, the device further comprises:

[0167] A target state module, for determining, for each type of state parameter subset, a target state parameter in the state parameter subset that satisfies a preset second selection condition;

[0168] An adjustment strategy module, used for constructing an operating condition adjustment strategy based on the target state parameter and its corresponding operating condition data;

[0169] Among them, different working condition adjustment strategies are used to achieve different vehicle operation modes, and the vehicle operation mode is associated with the vehicle operation state.

[0170] Optionally, the state parameter subset is an energy consumption power subset;

[0171] Target state module, including:

[0172] a conversion efficiency submodule, configured to determine at least one conversion efficiency parameter based on an energy consumption parameter and a power generation parameter in the energy consumption power subset; the energy consumption parameter is used to represent the energy consumption of the engine in the range extender, and the power generation parameter is used to represent the power generation capacity of the generator in the range extender;

[0173] The first target determination submodule is configured to determine a target conversion efficiency parameter greater than a preset conversion threshold based on the at least one conversion efficiency parameter.

[0174] Optionally, the device further comprises:

[0175] A weight allocation module, used to allocate different weights to target conversion efficiency parameters corresponding to different working condition data based on preset working condition usage frequency parameters;

[0176] A comprehensive efficiency module, used for calculating the comprehensive conversion efficiency of the efficiency adjustment strategy based on each target conversion efficiency parameter and its corresponding weight;

[0177] A loop optimization module is used to enter the step of determining a target conversion efficiency parameter that meets a preset conversion threshold based on the at least one conversion efficiency parameter when the comprehensive conversion efficiency does not reach a preset comprehensive efficiency threshold, and to reconstruct the efficiency adjustment strategy until the comprehensive conversion efficiency reaches the preset comprehensive efficiency threshold.

[0178] Optionally, the state parameter subset is a vehicle noise parameter subset;

[0179] Target state module, including:

[0180] The second determination submodule is configured to determine a target vehicle noise parameter that is less than a preset vehicle noise threshold based on at least one vehicle noise parameter in the vehicle noise parameter subset.

[0181] In summary, in the embodiments of the present disclosure, the operating condition data of the range extender and the vehicle parameter set corresponding to the operating condition data can be obtained at different operating points, and based on the operating condition data and at least one type of state parameter subset, an association relationship between each type of state parameter subset and the operating condition data is established respectively; in the association relationship of each type of state parameter subset, based on the value of the state parameter in the state parameter subset, the key operating condition data in each association relationship is determined; based on at least one key operating condition data, a key operating condition set is constructed, so that different operating states of the vehicle can be realized based on the operating point corresponding to any operating condition data in the key operating condition set, thereby improving the richness of the range extender operating points and the flexibility of vehicle operation.

[0182] Fig.111 is a block diagram of an electronic device 1100 shown in an exemplary embodiment. For example, the electronic device 1100 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0183] Reference Fig.11 , the electronic device 1100 may include one or more of the following components: a processing component 1102 , a memory 1104 , a power component 1106 , a multimedia component 1108 , an audio component 1110 , an input / output (I / O) interface 1112 , a sensor component 1114 , and a communication component 1116 .

[0184] The processing component 1102 generally controls the overall operation of the electronic device 1100, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 1102 may include one or more processors 1120 to execute instructions to complete all or part of the steps of the above-mentioned method. In addition, the processing component 1102 may include one or more modules to facilitate the interaction between the processing component 1102 and other components. For example, the processing component 1102 may include a multimedia module to facilitate the interaction between the multimedia component 1108 and the processing component 1102.

[0185] The memory 1104 is used to store various types of data to support the operation of the electronic device 1100. Examples of such data include instructions for any application or method operating on the electronic device 1100, contact data, phone book data, messages, pictures, multimedia, etc. The memory 1104 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0186] The power supply component 1106 provides power to various components of the electronic device 1100. The power supply component 1106 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the electronic device 1100.

[0187] The multimedia component 1108 includes a screen that provides an output interface between the electronic device 1100 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 1108 includes a front camera and / or a rear camera. When the electronic device 1100 is in an operating mode, such as a shooting mode or a multimedia mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

[0188] The audio component 1110 is used to output and / or input audio signals. For example, the audio component 1110 includes a microphone (MIC), and when the electronic device 1100 is in an operation mode, such as a call mode, a recording mode, and a voice recognition mode, the microphone is used to receive an external audio signal. The received audio signal can be further stored in the memory 1104 or sent via the communication component 1116. In some embodiments, the audio component 1110 also includes a speaker for outputting audio signals.

[0189] I / O interface 1112 provides an interface between processing component 1102 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.

[0190] The sensor assembly 1114 includes one or more sensors for providing various aspects of status assessment for the electronic device 1100. For example, the sensor assembly 1114 can detect the open / closed state of the electronic device 1100, the relative positioning of components, such as the display and keypad of the electronic device 1100, and the sensor assembly 1114 can also detect the position change of the electronic device 1100 or a component of the electronic device 1100, the presence or absence of user contact with the electronic device 1100, the orientation or acceleration / deceleration of the electronic device 1100, and the temperature change of the electronic device 1100. The sensor assembly 1114 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 1114 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 1114 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0191] The communication component 1116 is used to facilitate wired or wireless communication between the electronic device 1100 and other devices. The electronic device 1100 can access a wireless network based on a communication standard, such as WiFi, a carrier network (such as 2G, 3G, 4G or 5G), or a combination thereof. In an exemplary embodiment, the communication component 1116 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 1116 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0192] In an exemplary embodiment, the electronic device 1100 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to implement the range extender operating condition determination method provided in an embodiment of the present disclosure.

[0193] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 1104 including instructions, and the instructions can be executed by a processor 1120 of the electronic device 1100 to perform the above method. For example, the non-transitory storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0194] Fig.12 1 is a block diagram of an electronic device 1200 shown in an exemplary embodiment. For example, the electronic device 1200 may be provided as a server. Fig.12 The electronic device 1200 includes a processing component 1222, which further includes one or more processors, and a memory resource represented by a memory 1232 for storing instructions executable by the processing component 1222, such as an application. The application stored in the memory 1232 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 1222 is configured to execute instructions to perform a method for determining a range extender operating condition provided in an embodiment of the present disclosure.

[0195] The electronic device 1200 may also include a power supply component 1226 configured to perform power management of the electronic device 1200, a wired or wireless network interface 1250 configured to connect the electronic device 1200 to a network, and an input / output (I / O) interface 1258. The electronic device 1200 may operate based on an operating system stored in the memory 1232, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™, or the like.

[0196] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the application disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0197] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for determining a range extender operating condition, characterized in that: The method comprises: Under different operating points, operating data of the range extender and a set of vehicle parameters corresponding to the operating data are obtained; the set of vehicle parameters includes at least one type of state parameter subset, and different types of state parameter subsets are used to represent different vehicle operating states; Based on the operating condition data and the at least one type of state parameter subset, respectively establishing an association relationship between each type of state parameter subset and the operating condition data; In the association relationship corresponding to each type of state parameter subset, based on the value of the state parameter in the state parameter subset, determine the key operating condition data in each association relationship; A key operating condition set is constructed based on at least one key operating condition data; the key operating condition set is used for the vehicle controller to determine the target operating condition data corresponding to the selection instruction when receiving the selection instruction, and control the operation of the range extender based on the target operating condition data.

2. The method according to claim 1, characterized in that: Before the step of constructing a key operating condition set based on at least one key operating condition data, the method further includes: Based on the operating condition data, the association relationship corresponding to the at least one type of state parameter subset is fused to obtain a fused relationship; each operating condition data in the fused relationship corresponds to at least one type of state parameter; In the fusion relationship, reference operating condition data is determined; the sum of the values ​​of at least one type of state parameter corresponding to the reference operating condition data is greater than the sum of the values ​​of at least one type of state parameter corresponding to other operating condition data; Determine a first value of a state parameter corresponding to the key operating condition data, and a target type to which the state parameter belongs; Among the state parameters of at least one type of the reference operating condition data, a second value of the state parameter belonging to the target type is determined, and it is determined that the difference between the first value and the second value is greater than a preset screening threshold.

3. The method according to claim 1, characterized in that The step of obtaining the operating data of the range extender at different operating points includes: Determine characteristic parameters corresponding to different operating points in the preset operating point description data; the operating point description data includes each operating point and its corresponding characteristic parameters; For each operating point, when the characteristic parameter satisfies a preset first selection condition, determining the operating point as an available operating point; Under different available operating points, the operating data of the range extender is obtained.

4. The method according to claim 1, characterized in that: The method further comprises: For each type of state parameter subset, determining a target state parameter in the state parameter subset that satisfies a preset second selection condition; Based on the target state parameters and the corresponding operating condition data, construct an operating condition adjustment strategy; Among them, different working condition adjustment strategies are used to achieve different vehicle operation modes, and the vehicle operation mode is associated with the vehicle operation state.

5. The method according to claim 4, characterized in that The state parameter subset is an energy consumption power subset; The step of determining, for each type of state parameter subset, a target state parameter in the state parameter subset that satisfies a preset second selection condition comprises: Determining at least one conversion efficiency parameter based on energy consumption parameters and power generation parameters in the energy consumption power subset; the energy consumption parameters are used to represent the energy consumption of the engine in the range extender, and the power generation parameters are used to represent the power generation capacity of the generator in the range extender; Based on the at least one conversion efficiency parameter, a target conversion efficiency parameter greater than a preset conversion threshold is determined.

6. The method according to claim 5, characterized in that After the step of constructing an operating condition adjustment strategy based on the target state parameter and its corresponding operating condition data, the method further includes: Based on the preset working condition usage frequency parameters, different weights are assigned to the target conversion efficiency parameters corresponding to different working condition data; Calculating the comprehensive conversion efficiency of the efficiency adjustment strategy based on each target conversion efficiency parameter and its corresponding weight; When the comprehensive conversion efficiency does not reach the preset comprehensive efficiency threshold, the step of determining the target conversion efficiency parameter that meets the preset conversion threshold based on the at least one conversion efficiency parameter is entered, and the efficiency adjustment strategy is reconstructed until the comprehensive conversion efficiency reaches the preset comprehensive efficiency threshold.

7. The method according to claim 4, characterized in that The state parameter subset is a vehicle noise parameter subset; The step of determining, for each type of state parameter subset, a target state parameter in the state parameter subset that satisfies a preset second selection condition comprises: Based on at least one vehicle noise parameter in the vehicle noise parameter subset, a target vehicle noise parameter that is less than a preset vehicle noise threshold is determined.

8. A device for determining operating conditions of a range extender, characterized in that: include: A data acquisition module, used to acquire the operating data of the range extender and a set of vehicle parameters corresponding to the operating data at different operating points; The vehicle parameter set includes at least one type of state parameter subset, and different types of state parameter subsets are used to represent different vehicle operating states; an association building module, configured to establish an association relationship between each type of state parameter subset and the operating condition data based on the operating condition data and the at least one type of state parameter subset; A key operating condition module, used for determining key operating condition data in each association relationship in the association relationship corresponding to each type of state parameter subset based on the value of the state parameter in the state parameter subset; An operating condition set module is used to construct a key operating condition set based on at least one key operating condition data; the key operating condition set is used for the vehicle controller to determine the target operating condition data corresponding to the selection instruction when receiving the selection instruction, and control the operation of the range extender based on the target operating condition data.

9. An electronic device, characterized in that: include: A processor, a communication interface, a memory and a communication bus; wherein the processor, the communication interface and the memory communicate with each other via the communication bus; Memory, used to store computer programs; A processor, for implementing the steps in the method for determining the operating condition of a range extender as claimed in any one of claims 1 to 7 when executing a program stored in a memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps in the method for determining the operating condition of a range extender as described in any one of claims 1 to 7 are implemented.

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