Method, device and equipment for determining working condition of range extender and readable storage medium

Abstract

The application provides a range extender working condition determination method, device and equipment and a readable storage medium. The method comprises the following 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; establishing an association relationship between each type of state parameter sub-set and the working condition data based on the working condition data and at least one type of state parameter sub-set; determining key working condition data in each association relationship based on the numerical value of the state parameter in the state parameter sub-set in the association relationship corresponding to each type of state parameter sub-set; and constructing a key working condition set based on at least one key working condition data. The application can improve the richness of the range extender working condition points.

Description

TECHNICAL FIELD

[0001] Embodiments of the present disclosure relate to the technical field of range extender, and particularly relate to a range extender working condition determination method and device, electronic equipment and computer readable storage medium. BACKGROUND

[0002] The range extended car has the driving experience of the pure electric car and solves the problem of range anxiety, and is favored by consumers. The range extended car can provide power for the car through the range extender. The range extender has different performances in power, energy consumption, etc. under different working conditions (such as speed or torque). Therefore, it is necessary to determine the appropriate range extender working condition point so that the vehicle has better performance.

[0003] At present, the selection of the range extender working condition point is mainly based on multiple constraint conditions such as power performance, energy consumption, emission performance, and power balance, and the range extender working condition point is selected after balancing and compromising.

[0004] However, the current scheme is a working condition point obtained based on many constraint conditions, which can only consider the vehicle performance requirements in multiple aspects simultaneously from the whole, so that the working condition point is single. SUMMARY

[0005] In view of the above problems, the embodiments of the present disclosure are proposed to provide a range extender working condition determination method, device, electronic equipment and computer readable storage medium which can overcome the above problems or at least partially solve the above problems.

[0006] In a first aspect, the embodiments of the present disclosure disclose a range extender working condition determination method, comprising:

[0007] Under different working condition points, obtain working condition data of the range extender and a vehicle parameter set corresponding to the working condition data; 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;

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

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

[0010] Based on at least one key working condition data, a key working condition set is constructed; the key working condition set is used for the vehicle controller to determine target working condition data corresponding to a selection instruction and control the range extender to operate based on the target working condition data when the selection instruction is received.

[0011] In a second aspect, the embodiments of the present disclosure disclose a device for determining working conditions of a range extender, comprising:

[0012] a data acquisition module, configured to acquire working condition data of the range extender and a set of vehicle parameters corresponding to the working condition data under different working condition points, wherein the set of vehicle parameters comprises 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 construction module, configured to respectively establish an association between each type of state parameter subset and the working condition data based on the working condition data and the at least one type of state parameter subset;

[0014] a key working condition module, configured to determine key working condition data in each association corresponding to each type of state parameter subset based on the values of the state parameters in the state parameter subset;

[0015] a working condition set module, configured to construct a key working condition set based on at least one key working condition data, wherein the key working condition set is used for a vehicle controller to determine target working condition data corresponding to a selection instruction and control the range extender to operate based on the target working condition data when the selection instruction is received.

[0016] In a third aspect, the embodiments of the present disclosure further disclose an electronic device, comprising a processor and a memory, wherein the memory stores programs or instructions executable on the processor, and the programs or instructions are executed by the processor to implement the steps of the method for determining working conditions of a range extender according to the first aspect.

[0017] In a fourth aspect, the embodiments of the present disclosure further disclose a computer readable storage medium, wherein the readable storage medium stores programs or instructions, and the programs or instructions are executed by a processor to implement the steps of the method for determining working conditions of a range extender according to the first aspect.

[0018] In the embodiments of the present disclosure, the working condition data of the range extender and the set of vehicle parameters corresponding to the working condition data can be acquired under different working condition points, and the association between each type of state parameter subset and the working condition data can be respectively established based on the working condition data and the at least one type of state parameter subset. The key working condition data in each association corresponding to each type of state parameter subset can be determined based on the values of the state parameters in the state parameter subset. The key working condition set can be constructed based on at least one key working condition data, which improves the richness of the working condition points of the range extender and enables different operating states of the vehicle to be realized based on any working condition point corresponding to the key working condition set in the key working condition set, thereby improving the flexibility of vehicle operation. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 is a step diagram of a method for determining working conditions of a range extender according to an embodiment of the present disclosure;

[0020] Figure 2 is a step diagram of another method for determining working conditions of a range extender according to an embodiment of the present disclosure;

[0021] Figure 3 is a flow diagram of determining key working condition data according to an embodiment of the present disclosure;

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

[0023] Figure 5 is a schematic diagram of generator efficiency variation according to an embodiment of the present disclosure;

[0024] Figure 6 is a flow diagram of constructing efficiency adjustment strategy according to an embodiment of the present disclosure;

[0025] Figure 7 is a flow diagram of constructing low-noise adjustment strategy according to an embodiment of the present disclosure;

[0026] Figure 8 is a schematic diagram of battery charge-discharge efficiency characteristics according to an embodiment of the present disclosure;

[0027] Figure 9 is a flow diagram of constructing power adjustment strategy according to an embodiment of the present disclosure;

[0028] Figure 10 is a block diagram of a device for determining working conditions of a range extender according to an embodiment of the present disclosure;

[0029] Figure 11 is a block diagram of an electronic device according to an embodiment of the present disclosure;

[0030] Figure 12 is a block diagram of another electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0031] Exemplary embodiments of the present application will be described herein below with reference to the accompanying drawings. Although exemplary embodiments of the present application are shown in the 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. Rather, these embodiments are provided so that this application will be thoroughly and completely understood, and will fully convey the scope of the application to those skilled in the art.

[0032] The extended-range vehicle has the driving experience of the pure electric vehicle and solves the range anxiety problem, and is widely favored by consumers. The extended-range vehicle mainly has three working modes: pure electric mode, extended-range mode and energy recovery mode; among them, in the pure electric mode and the energy recovery mode, the range extender does not participate in work, and the driving performance and comfort of the vehicle are good. In the extended-range mode, the range extender works to provide power for the vehicle. In the extended-range mode, the power performance, energy consumption and comfort of the vehicle are directly related to the working point of the range extender. Among them, the working 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, and the engine consumes energy such as gasoline to drive the generator to work, so that the generator can provide power for the battery of the extended-range vehicle.

[0033] The selection of the working point of the range extender of the existing extended-range vehicle is mainly based on multiple constraint conditions such as power performance, energy consumption, emission performance and vehicle power balance, and a multi-objective optimization algorithm is used to balance and compromise various performances to accurately select the working point of the range extender. Although this range extender strategy improves the overall performance of the vehicle, it does not consider 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, and reducing the driving experience.

[0034] Figure 1 A step diagram of a range extender working condition determination method provided by an embodiment of the present disclosure is shown, and the method comprises:

[0035] In step 101, working condition data of the range extender and a vehicle parameter set corresponding to the working condition data are obtained under different working condition 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 embodiment of the present disclosure, different working condition points refer to that the range extender works with different speed, torque and other parameters, and the working condition data under different working condition points refer to the corresponding speed, torque and the like. Under different working condition points, the vehicle parameters of the vehicle are also different, and the vehicle parameters can be the acceleration time from zero to 100 kilometers per hour, the vehicle NVH (Noise, Vibration, Harshness, noise, vibration and harshness) and the energy consumption per 100 kilometers, etc. 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 respectively constructed as state parameter sub-sets, and the overall vehicle parameter set includes at least one type of state parameter sub-set, such as the above-mentioned NVH state parameter sub-set, energy consumption state parameter sub-set, etc. Each state parameter in each state parameter sub-set represents the vehicle operating state under a specific range extender operating point, i.e. acceleration, NVH and energy consumption, etc. The type and quantity of 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 sub-set, respectively establishing the association between each type of state parameter sub-set and the operating condition data;

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

[0040] There is a corresponding relationship between x1, x2, x3 and y1, y2, y3, so the association between each type of state parameter sub-set and the operating condition data can be established based on the operating condition data and the at least one type of state parameter sub-set. The operating condition data can be used as the abscissa, and a single state parameter sub-set can be used as the ordinate to construct an association graph, based on the nonlinear mapping relationship between the state parameter sub-set and the operating condition data, a MAP graph is drawn, based on the MAP graph, a function relationship between each state parameter sub-set and the operating condition data is fitted, and a target function is obtained. 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 sub-set, based on the numerical value of the state parameter in the state parameter sub-set, determine the key operating condition data in each association relationship;

[0042] In each association relationship, based on the numerical value of the state parameter in the corresponding state parameter sub-set, determine the key operating condition data in each association relationship. Among them, according to the type and meaning of the state parameter, the maximum value or the minimum value of the state parameter in the state parameter sub-set can be used to determine the key operating condition data corresponding to the maximum value or the minimum value. It can be understood that if there are multiple maximum values or minimum values, the key operating condition data can be multiple.

[0043] For example, the state parameter is energy consumption, in order to make the vehicle save fuel, the corresponding key working condition data can be determined based on the minimum energy consumption state parameter; the state parameter is 100 km acceleration time, in order to make the vehicle more powerful, the corresponding key working condition data can be determined based on the maximum 100 km acceleration time.

[0044] In step 104, a key working condition set is constructed based on at least one key working condition data; the key working condition set is used for the vehicle controller to determine target working condition data corresponding to the selection instruction and control the range extender to operate based on the target working condition data when the selection instruction is received.

[0045] The key working condition data in the association relationship corresponding to the different type state parameter sub-sets can be combined to construct the key working condition set. It can be understood that the key working condition data in the key working condition set is in different association relationships, and different key working condition data corresponds to different type state parameter sub-sets and different vehicle operating states.

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

[0047] In summary, by implementing the embodiments of the present disclosure, the working condition data of the range extender and the vehicle parameter set corresponding to the working condition data can be obtained under different working condition points, the association relationship between each type of state parameter sub-set and the working condition data is established based on the working condition data and at least one type of state parameter sub-set, the key working condition data in each type of state parameter sub-set association relationship is determined based on the value of the state parameter in the state parameter sub-set, and the key working condition set is constructed based on at least one key working condition data, so that different operating states of the vehicle can be achieved based on any working condition point corresponding to the working condition data in the key working condition set, and the richness of the range extender working condition point and the flexibility of the vehicle operation are improved.

[0048] Reference Figure 2, and a step diagram of a method for determining a working condition of a range extender is shown, the method comprising:

[0049] In step 201, working condition data of the range extender and a set of vehicle parameters corresponding to the working condition data are obtained under different working condition points; the set of vehicle parameters comprises at least one type of sub-set of state parameters, and different types of sub-sets of state parameters are used to represent different vehicle operating states.

[0050] In step 202, an association between each type of sub-set of state parameters and the working condition data is established based on the working condition data and the at least one type of sub-set of state parameters.

[0051] In step 203, key working condition data in each association corresponding to each type of sub-set of state parameters is determined based on the values of the state parameters in the sub-set of state parameters.

[0052] In step 204, a set of key working conditions is constructed based on the at least one key working condition data; the set of key working conditions is used for a vehicle controller to determine target working condition data corresponding to a selection instruction and control the range extender to operate based on the target working condition data when the selection instruction is received.

[0053] The steps 201-204 described above can refer to the content of the above Figure 1 embodiments, which will not be described here again.

[0054] Optionally, before the step 204 of constructing the set of key working conditions based on the at least one key working condition data, the method further comprises:

[0055] In step A1, the associations corresponding to the at least one type of sub-set of state parameters are fused to obtain a fused association based on the working condition data; each working condition data in the fused association corresponds to at least one type of state parameter.

[0056] In step A2, a reference working condition data is determined in the fused association; the sum of the values of the at least one type of state parameter corresponding to the reference working condition data is greater than the sum of the values of the at least one type of state parameter corresponding to other working condition data.

[0057] In step A3, a first value of a state parameter corresponding to the key working condition data and a target type to which the state parameter belongs are determined.

[0058] In step A4, a second value of a state parameter belonging to the target type is determined in the at least one type of state parameter corresponding to the reference working condition data, and a difference between the first value and the second value is greater than a preset screening threshold.

[0059] In the embodiments of the present disclosure, different correlation relationships are fused based on common working condition data, because the different correlation relationships are all constructed based on the same working condition data. For example, when the correlation relationship is a curve graph with working condition data as the horizontal coordinate and state parameters as the vertical coordinate, multiple correlation relationships can be fused into the same coordinate system.

[0060] It can be understood that, since the correlation relationship of each type of state parameter sub-set is fused, each working condition data in the fused relationship corresponds to at least one type of state parameter.

[0061] In the fused relationship, a reference working condition data is determined. The sum of the values of the at least one type of state parameter corresponding to the selected reference working condition data is greater than the sum of the values of the at least one type of state parameter corresponding to other working condition data. For example, the reference working condition data A corresponds to state parameters a1, a2 and a3, the other working 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. The other working condition data is any one of the other working condition data except the reference working condition data.

[0062] The reference working condition data corresponds to a multi-objective optimization result, that is, different types of state parameters are considered at the same time, for example, energy consumption and NVH are considered at the same time, and the multi-objective optimization result corresponding to the reference working condition data can balance the performance of the vehicle as a whole, instead of only focusing on energy consumption or only focusing on NVH.

[0063] The key working condition data only focuses on the performance of the vehicle in a specific aspect, for example, only focuses on energy consumption or only focuses on NVH, and the key working condition data in different correlation relationships corresponds to a single different aspect.

[0064] The first value of the state parameter corresponding to the key working condition data is determined, and the target type of the state parameter is determined. Then, among the at least one type of state parameter corresponding to the reference working condition data, the state parameter belonging to the target type and the second value of the state parameter are determined, so that the key working condition data and the reference working condition data are compared in the same type of parameter, and 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 state 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 is greater than the second value, or the second value is greater than the first value. For example, when the state 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 state parameter corresponding to the screened key working condition data is better than the same type of state parameter in the reference working condition data. When the state parameter is the acceleration time per 100 kilometers, 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 state parameter corresponding to the screened key working condition data is better than the same type of state parameter in the reference working condition data. The key working condition data corresponding to other types of state parameters is also screened in a similar manner, which will not be repeated here.

[0066] It can be understood that the reference working condition data is actually a multi-objective and multi-constraint optimization result, and focuses on the balance of various aspects of the vehicle, so the reference working condition data is single. The key working condition data is a single-objective and single-constraint optimization result, and focuses on a single aspect of the vehicle, so it can have a higher richness.

[0067] Optionally, the step of obtaining the working condition data of the range extender under different working condition points comprises:

[0068] In the preset working condition point description data, the characteristic parameters corresponding to different working condition points are determined; the working condition point description data includes each working condition point and the characteristic parameters corresponding thereto;

[0069] For each working condition point, if the characteristic parameters meet a preset first selection condition, the working condition point is determined as an available working condition point;

[0070] The working condition data of the range extender is obtained under different available working condition points.

[0071] In the embodiments of the present disclosure, when the working condition data of the range extender is obtained under different working condition points, the working condition points can be screened first to exclude some working condition points that will cause the vehicle performance to deteriorate significantly.

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

[0073] Similarly, the preset first selection condition is a condition related to the characteristic parameter, for example, a screening threshold corresponding to a specific parameter is limited, and when the characteristic parameter is greater than the screening threshold, it is considered that the first selection condition is met, and the working condition point is determined as an available working condition point. Further, based on the screened available working condition point, the working condition data of the range extender is obtained.

[0074] By implementing the embodiments of the present disclosure, by screening different working condition points, the available working condition points with better performance can be determined in advance, and then the working condition data of the range extender is obtained based on the available working condition points, which can reduce the data processing amount and improve the determination efficiency of the key working condition data.

[0075] Figure 3 is a flowchart for determining key working condition data provided by the embodiments of the present disclosure;

[0076] Step 301: According to the first selection condition (vehicle target energy consumption, 100 km acceleration time, and NVH index), an available working condition point is initially formulated;

[0077] Step 302: Obtain the working condition data (speed, torque, etc.) and the state parameters (engine fuel consumption, generator efficiency, range extender vibration / noise, etc.) of the vehicle through the range extender bench test.

[0078] Step 303: Establish a nonlinear mapping relationship between fuel consumption, vibration / noise, and range extender speed and torque, and draw a MAP graph.

[0079] Step 304: Fit the function relationship between the state parameter subset and the working condition data to obtain a target function.

[0080] Step 305: Based on the different target functions described above, single-objective optimization and multi-objective optimization are performed on the range extender working condition points.

[0081] Step 306: Obtain the single-objective optimization of the key working condition data of power, NVH, and energy consumption, etc.

[0082] Step 307: Determine whether the multi-objective optimization of the reference working condition data is improved by 30% (a preset screening threshold).

[0083] Step 308: If the single-objective optimization is improved by 30% compared with the multi-objective optimization, calibrate the three working condition points of the range extender: the key working condition data of power, the key working condition data of NVH power, and the key working condition data of energy consumption, so as to obtain a key working condition set. Otherwise, re-enter step 301 to start the cycle.

[0084] Optionally, the method further comprises:

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

[0086] Based on the target state parameter and its corresponding working condition data, a working condition adjustment strategy is constructed;

[0087] Different working condition adjustment strategies are used to implement different vehicle operation modes, and the vehicle operation modes have a correlation with the vehicle operation state.

[0088] In the embodiments of the present disclosure, for each type of state parameter subset, a 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 in the state parameter subset is an NVH state parameter, the second selection condition can be less than a specific NVH threshold, so that a target state parameter with less NVH is selected from 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 parameter and its corresponding working condition data, a working condition adjustment strategy is constructed, which includes multiple target state parameters that meet the second selection condition and the working condition data corresponding to each target state parameter. Different working condition adjustment strategies are used to implement different vehicle operation modes, and the vehicle operation modes have a correlation 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, when the state parameter in the state parameter subset is an NVH state parameter, the corresponding working condition adjustment strategy can be referred to as a low-noise adjustment strategy, which can be used to implement a low-noise operation mode of the vehicle. When the vehicle operates based on the low-noise adjustment strategy, the noise will be smaller. Similarly, other working condition adjustment strategies such as energy consumption working condition adjustment strategy and power working condition adjustment strategy 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 meets a preset second selection condition includes:

[0093] Based on the energy consumption parameter and the power generation parameter in the energy consumption power subset, at least one conversion efficiency parameter is determined. 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;

[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 parameter under that operating condition can be calculated to represent the range extender's oil-to-electricity conversion rate. 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. Consequently, at the operating point corresponding to the target conversion efficiency parameter, energy consumption is low.

[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 efficiency changes at different range extender operating points (speed and torque) are shown in the coordinate system. 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] based on each target conversion efficiency parameter and its corresponding weight, calculate the comprehensive conversion efficiency of the efficiency adjustment strategy;

[0102] In the case where the comprehensive conversion efficiency does not reach the preset comprehensive efficiency threshold, enter the step of determining the target conversion efficiency parameter satisfying the preset conversion threshold based on the at least one conversion efficiency parameter, and reconstruct the efficiency adjustment strategy until the comprehensive conversion efficiency reaches the preset comprehensive efficiency threshold.

[0103] In the embodiments of the present disclosure, after determining the target conversion efficiency and constructing the efficiency adjustment strategy, the efficiency adjustment strategy can be analyzed to determine whether the current efficiency adjustment strategy can effectively reduce energy consumption and improve power generation.

[0104] The target conversion efficiency parameters corresponding to different working condition data can be assigned different weights based on a preset working condition use frequency parameter. The working condition use frequency parameter represents the frequency of use of different working conditions in vehicle driving. For example, the engine of the range extender usually does not work at extremely high or low speed and torque, and correspondingly, the power of the generator of the range extender is usually not extremely high or low. Therefore, the use frequency of different working conditions is different, and the working condition use data of the range extender can be recorded, stored and analyzed by the vehicle controller, and then the working condition use frequency parameter can be obtained.

[0105] For the working condition points used frequently, the target conversion efficiency parameters corresponding to the corresponding working condition data are assigned larger weights, and for the working condition points used infrequently, the target conversion efficiency parameters corresponding to the corresponding working condition data are assigned smaller weights.

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

[0107] In the case where the comprehensive conversion efficiency does not reach the preset comprehensive efficiency threshold, enter the step of determining the target conversion efficiency parameter satisfying the preset conversion threshold based on the at least one conversion efficiency parameter, and reconstruct the efficiency adjustment strategy until the comprehensive conversion efficiency reaches the preset comprehensive efficiency threshold.

[0108] Figure 6 is a flowchart for constructing an efficiency adjustment strategy provided by the embodiments of the present disclosure;

[0109] In step 601, engine universal characteristic bench test is performed to obtain relevant data of engine energy consumption and working condition.

[0110] Step 602, a generator efficiency bench test is performed to obtain the generator power and working condition data;

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

[0112] Step 604, the target conversion efficiency parameter and its working condition data are determined to construct the efficiency adjustment strategy;

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

[0114] Step 606, the efficiency adjustment strategy is iteratively verified based on the engineering prototype vehicle;

[0115] Step 607, the efficiency adjustment strategy is evaluated based on the mass production vehicle;

[0116] Step 608, the efficiency adjustment strategy is configured for the mass production vehicle.

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

[0118] Table 1

[0119] Power generation Rotational speed Torque Oil-electric 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 can be understood that the data in Table 1 can be more, and when performing weight distribution to calculate the comprehensive conversion rate, part of the data in Table 1 can be selected for calculation, for example, 1 data is selected from 3 continuous rows of data, to simplify the data calculation amount and ensure high accuracy.

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

[0122] Table 2

[0123] Power generation Weight Rotational speed Torque Oil-electric 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, the condition of 5(kilowatt) of generated power is a less used working condition, so the weight can be 3%, similarly, the condition of 50 of generated power is also a less used working condition, so the weight can also be 3%, the conditions of 18 and 30 of generated power are more used working conditions, so the weight can be 10%.

[0125] In the embodiment of the present disclosure, different weights can be assigned to different target conversion efficiency parameters based on the working condition usage frequency parameter, 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 then 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 includes:

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

[0129] In the embodiments of the present disclosure, the state parameter subset can be a vehicle noise parameter subset, and similarly, in at least one vehicle noise parameter in the vehicle noise parameter subset, a target vehicle noise parameter less than a preset vehicle noise threshold is determined, and a corresponding low-noise adjustment strategy is constructed.

[0130] Figure 7 is a flowchart for constructing a low-noise adjustment strategy provided by the present disclosure;

[0131] Step 701, according to computer aided engineering (CAE, Computer Aided Engineering) analysis and modal planning, simulate and calculate the range extender excitation load, vehicle interior vibration noise evaluation, and vehicle modal planning, perform range extender NVH bench test, and obtain vehicle noise parameters;

[0132] Step 702, based on the NVH demand of the range extender non-inductive power generation, a preset vehicle noise threshold is determined;

[0133] Step 703, submit the demand for the first round of calibration reference to determine the target vehicle noise parameter;

[0134] Step 704, construct a preliminary version of VCU control logic, i.e., a low-noise adjustment strategy;

[0135] Step 705, based on the engineering sample vehicle, perform stage road test iteration to verify the low-noise adjustment strategy;

[0136] Step 706, based on the mass production vehicle, evaluate the low-noise adjustment strategy;

[0137] Step 707, configure the low-noise adjustment strategy for the mass production vehicle.

[0138] In addition, a power adjustment strategy can also be constructed, and constant power and multi-point power follow-up control strategies can be adopted, and the switching of the range extender working condition point is mainly determined by the battery remaining capacity (SOC, State of Charge) and vehicle speed. The constant power and multi-point power follow-up control strategies are shown in Table 3 as follows:

[0139]

[0140] In addition, if the battery SOC is lower than 0.15 and the vehicle speed is lower than 25 km / h, the VCU forcibly starts the range extender generator to generate power; when the battery SOC is lower than 0.45 and the vehicle speed is greater than or equal to 25 km / h, the VCU automatically starts the range extender.

[0141] Figure 8 is a schematic diagram of the battery charge and discharge efficiency characteristic provided by the embodiment of the present disclosure; Figure 8 The abscissa of is SOC, and the ordinate is the charge and discharge efficiency. Figure 8 In, line 801 corresponds to the abscissa 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 available area. The unusable area indicates that when the SOC of the battery is in the range of 0-SOC min, the vehicle tries not to use the battery to avoid battery wear. The available area indicates that when the SOC of the battery is in the range of SOC min-1, the battery can be used. Within the available area, the line 802 corresponding to the abscissa SOC low (the specific SOC value can be between 0.15-0.18) and the line 803 corresponding to the abscissa SOC high (the specific SOC value can be between 0.55-0.75) together divide the available area into 2 low-efficiency areas and 1 high-efficiency area. In the high-efficiency area, the charge and discharge efficiency of the battery is relatively high, which can provide better power for the vehicle, so the range extender can be controlled to work to keep the battery SOC always in the SOC range of the high-efficiency area.

[0142] Figure 9 is a flowchart of constructing a power regulation strategy provided by the embodiment of the present disclosure;

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

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

[0145] Step 903, constructing a power regulation strategy based on the battery charge and discharge efficiency characteristic;

[0146] Step 904, determining a working condition point according to the power regulation strategy;

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

[0148] Step 906, based on the engineering prototype stage road test iteration verification;

[0149] Step 907, based on the mass production vehicle evaluation;

[0150] Step 908, configuring the control logic for the mass production vehicle VCU.

[0151] In summary, in the embodiment of the present disclosure, working condition data of the range extender and a vehicle parameter set corresponding to the working condition data can be obtained under different working condition points, an association between each type of state parameter sub-set and the working condition data is established based on the working condition data and the at least one type of state parameter sub-set, in the association of each type of state parameter sub-set, key working condition data in each association is determined based on the values of the state parameters in the state parameter sub-set, and at least one key working condition data is used to construct a key working condition set, so that different operating states of the vehicle can be realized based on the working condition point corresponding to any working condition data in the key working condition set, the richness of the working condition points of the range extender is improved, and the flexibility of the vehicle operation is improved.

[0152] Reference Figure 10 It shows a range extender working condition determination device 100 provided by an embodiment of the present disclosure, which comprises:

[0153] The data acquisition module 1001 is configured to obtain working condition data of the range extender and a vehicle parameter set corresponding to the working condition data under different working condition points, and the vehicle parameter set comprises at least one type of state parameter sub-set, and different types of state parameter sub-sets are used to represent different vehicle operating states.

[0154] The association construction module 1002 is configured to establish an association between each type of state parameter sub-set and the working condition data based on the working condition data and the at least one type of state parameter sub-set.

[0155] The key working condition module 1003 is configured to determine key working condition data in each association in the association corresponding to each type of state parameter sub-set based on the values of the state parameters in the state parameter sub-set.

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

[0157] Optionally, the device further comprises:

[0158] The data fusion module is configured to fuse the associations corresponding to the at least one type of state parameter sub-set based on the working condition data to obtain a fusion relationship, and each working condition data in the fusion relationship corresponds to at least one type of state parameter.

[0159] The reference working condition module is configured to determine reference working condition data in the fusion relationship, and a sum of values of at least one type of state parameter corresponding to the reference working condition data is greater than a sum of values of at least one type of state parameter corresponding to other working condition data;

[0160] The first value module is configured to determine a first value of a state parameter corresponding to the key working condition data and a target type to which the state parameter belongs;

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

[0162] Optionally, the data acquisition module comprises:

[0163] The working condition feature submodule is configured to determine a feature parameter corresponding to each working condition point in preset working condition point description data, wherein the working condition point description data comprises each working condition point and a corresponding feature parameter of the working condition point.

[0164] The available working condition submodule is configured to determine, for each working condition point, that the working condition point is an available working condition point when the feature parameter satisfies a preset first selection condition.

[0165] The data acquisition submodule is configured to acquire working condition data of the range extender under different available working condition points.

[0166] Optionally, the device further comprises:

[0167] The target state module is configured to determine, for each type of state parameter subset, a target state parameter in the state parameter subset that satisfies a preset second selection condition.

[0168] The adjustment strategy module is configured to construct a working condition adjustment strategy based on the target state parameter and corresponding working condition data of the target state parameter.

[0169] Different working condition adjustment strategies are used to implement different vehicle operation modes, and the vehicle operation modes have a correlation relationship with the vehicle operation state.

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

[0171] The target state module comprises:

[0172] The conversion efficiency submodule is configured to determine at least one conversion efficiency parameter based on the energy consumption parameter and the power generation parameter in the power 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] The weight allocation module is configured to allocate different weights to the target conversion efficiency parameters corresponding to different working condition data based on preset working condition use frequency parameters.

[0176] The comprehensive efficiency module is configured to calculate the comprehensive conversion efficiency of the efficiency adjustment strategy based on each target conversion efficiency parameter and the weight corresponding thereto.

[0177] The cycle optimization module is configured to, in the case where the comprehensive conversion efficiency does not reach a preset comprehensive efficiency threshold, enter the step of determining a target conversion efficiency parameter satisfying a preset conversion threshold based on the at least one conversion efficiency parameter, and 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] The target state module comprises:

[0180] The second determination submodule is configured to determine a target vehicle noise parameter 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 working condition data of the range extender and the vehicle parameter set corresponding to the working condition data can be obtained under different working condition points, the association between each type of state parameter subset and the working condition data is established based on the working condition data and at least one type of state parameter subset, the key working condition data in each type of state parameter subset is determined based on the numerical value of the state parameter in the state parameter subset in the association relationship of each type of state parameter subset, the key working condition set is constructed based on at least one key working condition data, so that different running states of the vehicle can be realized based on the working condition point corresponding to any working condition data in the key working condition set, the richness of the working condition points of the range extender and the flexibility of the vehicle operation are improved.

[0182] Figure 11FIG. 11 is a block diagram illustrating an electronic device 1100 according to an example embodiment. The electronic device 1100 can be a mobile phone, a computer, a digital broadcasting terminal, a message communication device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like, for example.

[0183] Referring to Figure 11 The electronic device 1100 can 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 usually controls overall operations of the electronic device 1100, such as operations associated with displaying, making phone calls, data communications, camera operations, and recording operations. The processing component 1102 can include one or more processors 1120 to execute instructions to complete all or part of steps of the above-described methods. In addition, the processing component 1102 can include one or more modules to facilitate interaction between the processing component 1102 and other components. For example, the processing component 1102 can 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 operations of the electronic device 1100. Examples of these data include instructions for any application or method operating on the electronic device 1100, contact data, phonebook data, messages, pictures, multimedia, and the like. The memory 1104 can be implemented by any type of volatile or non-volatile storage devices 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 storage, flash memory, magnetic disk or optical disk.

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

[0187] The multimedia component 1108 includes a screen to provide an output interface between the electronic device 1100 and a user. In some embodiments, the screen can include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense a touch, a slide, and a gesture on the touch panel. The touch sensor can not only sense a boundary of a touching or sliding action, but also detect duration and pressure related to the touching or sliding action. In some embodiments, the multimedia component 1108 includes a front camera and / or a rear camera. The front camera and / or the rear camera can receive external multimedia data when the electronic device 1100 is in an operation mode, such as a camera mode or a multimedia mode. Each of the front and rear camera can be a fixed optical lens system or have a focal length and optical zooming capability.

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

[0189] The I / O interface 1112 provides an interface between the processing component 1102 and peripheral interface modules, which can include a keypad, click wheel, button, and the like. The buttons can include, but are not limited to, a home button, a volume button, a start button, and a lock button.

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

[0191] The communication component 1116 is configured 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 cellular network standard (such as 2G, 3G, 4G, or 5G), or a combination thereof. In an example embodiment, the communication component 1116 receives broadcast signals or broadcast-related information from external broadcast management systems via a broadcast channel. In an example embodiment, the communication component 1116 can further include 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) techniques, infrared data association (IrDA) techniques, ultra-wideband (UWB) techniques, Bluetooth (BT) techniques, and other techniques.

[0192] In an example embodiment, the electronic device 1100 can be implemented with 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, micro-controllers, microprocessors, or other electronic elements, to implement the method for determining working conditions of a range extender provided by the embodiments of the present disclosure.

[0193] In an example embodiment, a non-transitory computer-readable storage medium including instructions, such as the memory 1104 including instructions, is also provided, which can be executed by the processor 1120 of the electronic device 1100 to complete 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, and an optical data storage device, etc.

[0194] Figure 12 FIG. 12 is a block diagram of an electronic device 1200 according to an example embodiment. For example, the electronic device 1200 can be provided as a server. Referring to FIG. 12, Figure 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, such as an application program, executable by the processing component 1222. The application program stored in the memory 1232 can include one or more modules each corresponding to a set of instructions. In addition, the processing component 1222 is configured to execute the instructions to perform a method for determining working conditions of a range extender provided by the embodiments of the present disclosure.

[0195] The electronic device 1200 can also include a power supply component 1226 configured to perform power management for 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 can 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] Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. It is intended that the specification and examples be considered as exemplary only, with the true scope and spirit of the application being indicated by the following claims.

[0197] It is to be understood that the application is not limited to the precise details of design and construction that have been described above and illustrated in the drawings. Various modifications and changes can be made thereunto without departing from the scope of the application. The scope of the application is limited only by the claims that follow.

Claims

1. A method for determining a range extender operating condition, characterized in that: The method comprises: Acquiring operating data of the range extender and a set of vehicle parameters corresponding to the operating data at different operating points; the set of vehicle parameters including at least one type of state parameter subset, where 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, establishing an association relationship between each type of state parameter subset and the operating condition data; In the association relationships corresponding to each type of state parameter subset, determining the key operating condition data in each association relationship based on the values ​​of the state parameters in the state parameter subset; 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 relationships corresponding to the at least one type of state parameter subset are 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; 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; Among the at least one type of status parameters of the reference operating condition data, a second value of the status 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 condition 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, if the characteristic parameter satisfies a preset first selection condition, determining the operating point as an available operating point; The operating data of the range extender is obtained at different available operating points.

4. The method according to claim 1, wherein The method further comprises: For each type of state parameter subset, determining a target state parameter in the state parameter subset that meets a preset second selection condition; Constructing an operating condition adjustment strategy based on the target state parameters and their corresponding operating condition data; Among them, different operating condition adjustment strategies are used to achieve different vehicle operating modes, and the vehicle operating mode is associated with the vehicle operating 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 meets a preset second selection condition includes: determining at least one conversion efficiency parameter based on an energy consumption parameter and a generated power parameter in the energy consumption and power subset, wherein the energy consumption parameter is used to represent the energy consumption of the engine in the range extender, and the generated power parameter is used to represent the generating 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 meets a preset second selection condition includes: 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, configured to acquire 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, based on the operating condition data and the at least one type of state parameter subset, an association relationship between each type of state parameter subset and the operating condition data; A key operating condition module is used to determine the key operating condition data in each association relationship corresponding to each type of state parameter subset based on the values ​​of the state parameters 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 for storing computer programs; A processor, configured to implement the steps of the method for determining the operating condition of a range extender according to any one of claims 1 to 7 when executing a program stored in the 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 of the method for determining the operating condition of a range extender according to any one of claims 1 to 7 are implemented.

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