Method and device for determining remaining driving range of electric vehicle, equipment and medium

Abstract

The invention provides a method and device for determining the remaining driving range of an electric vehicle, equipment and a medium, and the method comprises the steps: determining the first hundred kilometer energy consumption of a target electric vehicle based on the number of times that the acceleration of the target electric vehicle meets a preset rule in the current driving process; determining the second hundred kilometer energy consumption of the target electric vehicle based on the current external environment temperature of the target electric vehicle; based on the current vehicle speed of the target electric vehicle, the third hundred kilometer energy consumption of the target electric vehicle is determined; and based on the first hundred-kilometer energy consumption, the second hundred-kilometer energy consumption, the third hundred-kilometer energy consumption and the current remaining electric quantity of the target electric vehicle, the remaining driving range of the target electric vehicle is determined. By adopting the technical scheme provided by the invention, the calculation error of the remaining driving mileage is reduced, and the mileage anxiety of people is effectively relieved.

Description

Technical Field

[0001] The present application relates to the technical field of remaining driving range, and in particular to a method, device, equipment and medium for determining the remaining driving range of an electric vehicle. Background Art

[0002] Electric vehicles use batteries as their power source, but due to technical bottlenecks such as low battery energy density, electric vehicles still face challenges in terms of range and charging time. Therefore, when driving an electric vehicle, people need to pay close attention to the remaining driving range displayed on the instrument panel to plan their routes and distances in advance and alleviate range anxiety. Currently, the remaining driving range is usually estimated based on the average energy consumption of the electric vehicle during driving.

[0003] However, due to the complexity of the actual driving environment, the estimated results of the remaining driving range often deviate greatly from the actual situation. Inaccurate range display will aggravate people's mileage anxiety. Frequent estimation errors reduce people's trust in electric vehicles and may even lead to misjudgment of range, affecting travel safety. Summary of the Invention

[0004] In view of this, the embodiments of the present application provide a method, device, equipment and medium for determining the remaining cruising range of an electric vehicle. By constructing a weight distribution system, combined with detailed working condition division and adjustable energy consumption coefficient setting, the impact of different working conditions on energy consumption can be quantified, thereby reducing the error in the calculation of the remaining cruising range and effectively alleviating people's mileage anxiety.

[0005] This application mainly includes the following aspects: In a first aspect, an embodiment of the present application provides a method for determining the remaining driving range of an electric vehicle, the method comprising: determining the energy consumption of the target electric vehicle per 100 kilometers based on the number of times the acceleration of the target electric vehicle meets a preset rule during the current driving; determining the 200-kilometer energy consumption of the target electric vehicle based on the current ambient temperature outside the target electric vehicle; Determining the energy consumption of the target electric vehicle at 300 kilometers based on the current speed of the target electric vehicle; Based on the first 100-kilometer energy consumption, the second 200-kilometer energy consumption, the third 300-kilometer energy consumption and the current remaining power of the target electric vehicle, the remaining driving range of the target electric vehicle is determined.

[0006] Furthermore, the preset rule is that the acceleration is greater than a first preset acceleration threshold and the acceleration is less than a second acceleration threshold.

[0007] Furthermore, the determining of the energy consumption of the target electric vehicle per 100 kilometers based on the number of times the acceleration of the target electric vehicle satisfies a preset rule during the current driving includes: Determining a preset number interval to which the number of times the acceleration of the target electric vehicle meets a preset rule during current driving belongs; Determining a driving behavior energy consumption coefficient corresponding to the current driving of the target electric vehicle based on a preset number interval to which the number of times the acceleration satisfies the preset rule belongs; The energy consumption per 100 kilometers of the target electric vehicle is determined based on the driving behavior energy consumption coefficient, the preset energy consumption per 100 kilometers, the number of times the acceleration meets the preset rules, the average power consumption and the current driving distance; wherein the average power consumption is obtained by adding the increased power consumption each time the acceleration meets the preset rules and dividing the result by the number of times the acceleration meets the preset rules.

[0008] Furthermore, the determining of the energy consumption of the target electric vehicle at 200 kilometers based on the current ambient temperature outside the target electric vehicle includes: Determining a preset temperature range to which the current ambient temperature outside the target electric vehicle belongs; Determining an ambient temperature energy consumption coefficient corresponding to the current driving of the target electric vehicle based on the preset temperature range to which the ambient temperature belongs; The product of the ambient temperature energy consumption coefficient and the preset energy consumption per 100 kilometers is determined as the 200-kilometer energy consumption of the target electric vehicle.

[0009] Furthermore, determining the energy consumption of the target electric vehicle at 300 kilometers per hour based on the current speed of the target electric vehicle includes: Determining a preset speed range to which the current speed of the target electric vehicle belongs; Determining a vehicle speed energy consumption coefficient corresponding to the current driving of the target electric vehicle based on the preset vehicle speed range to which the vehicle speed belongs; The product of the vehicle speed energy consumption coefficient and the preset energy consumption per 100 kilometers is determined as the energy consumption per 300 kilometers of the target electric vehicle.

[0010] Furthermore, determining the remaining driving range of the target electric vehicle based on the first 100-kilometer energy consumption, the second 200-kilometer energy consumption, the third 300-kilometer energy consumption, and the current remaining power of the target electric vehicle includes: The energy consumption per 100 kilometers, the energy consumption per 200 kilometers, and the energy consumption per 300 kilometers are multiplied by the corresponding weights and then added together to obtain the actual energy consumption per 100 kilometers of the target electric vehicle; The remaining driving range of the target electric vehicle is determined based on the current remaining power of the target electric vehicle and the actual energy consumption per 100 kilometers.

[0011] In a second aspect, an embodiment of the present application further provides a device for determining the remaining driving range of an electric vehicle, the device comprising: A 100-kilometer energy consumption determination module, configured to determine the 100-kilometer energy consumption of the target electric vehicle based on the number of times the acceleration of the target electric vehicle meets a preset rule during current driving; A 200-kilometer energy consumption determination module, configured to determine the 200-kilometer energy consumption of the target electric vehicle based on the current external ambient temperature of the target electric vehicle; A 300-kilometer energy consumption determination module, configured to determine the 300-kilometer energy consumption of the target electric vehicle based on the current speed of the target electric vehicle; The remaining driving range determination module is used to determine the remaining driving range of the target electric vehicle based on the first 100-kilometer energy consumption, the second 200-kilometer energy consumption, the third 300-kilometer energy consumption and the current remaining power of the target electric vehicle.

[0012] In a third aspect, an embodiment of the present application further provides an electronic device comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor and the memory communicate through the bus, and the machine-readable instructions are executed by the processor to execute the steps of the method for determining the remaining cruising range of an electric vehicle as described in the first aspect or any possible implementation of the first aspect.

[0013] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for determining the remaining cruising range of an electric vehicle described in the first aspect or any possible implementation scheme of the first aspect are executed.

[0014] In a fifth aspect, an embodiment of the present application further provides an electric vehicle, which includes the above-mentioned device for determining the remaining cruising range of the electric vehicle.

[0015] The embodiments of the present application provide a method, device, equipment and medium for determining the remaining cruising range of an electric vehicle. The method determines the energy consumption of the target electric vehicle for the first 100 kilometers based on the number of times the acceleration of the target electric vehicle meets preset rules during current driving; determines the energy consumption of the target electric vehicle for the second 100 kilometers based on the current external ambient temperature of the target electric vehicle; determines the energy consumption of the target electric vehicle for the third 100 kilometers based on the current speed of the target electric vehicle; and determines the remaining cruising range of the target electric vehicle based on the first 100 kilometers energy consumption, the second 100 kilometers energy consumption, the third 100 kilometers energy consumption and the current remaining power of the target electric vehicle.

[0016] In this way, by constructing a weight distribution system, combined with detailed working condition division and adjustable energy consumption coefficient setting, the impact of different working conditions on energy consumption can be quantified, thereby reducing the error in the calculation of remaining driving range and effectively alleviating people's mileage anxiety.

[0017] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 One of the flow charts of a method for determining the remaining driving range of an electric vehicle provided in an embodiment of the present application is shown; Figure 2 A second flowchart of a method for determining the remaining driving range of an electric vehicle provided in an embodiment of the present application is shown; Figure 3 A third flowchart of a method for determining the remaining driving range of an electric vehicle provided in an embodiment of the present application is shown; Figure 4 A fourth flowchart of a method for determining the remaining driving range of an electric vehicle provided in an embodiment of the present application is shown; Figure 5 A fifth flowchart of a method for determining the remaining driving range of an electric vehicle provided in an embodiment of the present application is shown; Figure 6 A schematic structural diagram of a device for determining the remaining driving range of an electric vehicle provided in an embodiment of the present application is shown; Figure 7 A schematic structural diagram of an electronic device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the drawings in the present application only serve the purpose of illustration and description and are not used to limit the scope of protection of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate the operations implemented according to some embodiments of the present application. It should be understood that the operations of the flowcharts can be implemented out of sequence, and steps without logical context can be reversed or implemented simultaneously. In addition, those skilled in the art, under the guidance of the contents of this application, can add one or more other operations to the flowchart, or remove one or more operations from the flowchart.

[0021] In addition, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present application.

[0022] The following methods, devices, electronic devices or computer-readable storage media of the embodiments of the present application can be applied to any scenario where the remaining cruising range needs to be determined. The embodiments of the present application are not limited to specific application scenarios. Any solution using the method and device for determining the remaining cruising range of an electric vehicle provided by the embodiments of the present application is within the scope of protection of this application.

[0023] It is worth noting that electric vehicles use power batteries as their power source, but due to technical bottlenecks such as low battery energy density, electric vehicles still face challenges in terms of driving range and charging time. Therefore, when driving an electric vehicle, people need to pay close attention to the remaining driving range displayed on the dashboard so that they can plan their travel routes and distances in advance and reduce range anxiety. Currently, the remaining driving range is usually estimated based on the average energy consumption of the electric vehicle during driving. However, due to the complexity of the actual driving environment, the estimated results of the remaining driving range often deviate significantly from the actual situation. Inaccurate range displays will exacerbate people's range anxiety. Frequent estimation errors will reduce people's trust in electric vehicles and may even lead to misjudgment of driving range, affecting travel safety.

[0024] In response to the above problems, the embodiments of the present application propose a method, device, equipment and medium for determining the remaining cruising range of an electric vehicle. By constructing a weight distribution system, combined with detailed operating condition division and adjustable energy consumption coefficient setting, the impact of different operating conditions on energy consumption can be quantified, thereby reducing the error in the calculation of the remaining cruising range and effectively alleviating people's mileage anxiety.

[0025] To facilitate understanding of the present application, the technical solutions provided in the present application are described in detail below in conjunction with specific embodiments.

[0026] See also Figure 1 , Figure 1 This is one of the flow charts of a method for determining the remaining driving range of an electric vehicle provided in an embodiment of the present application.

[0027] Here, driving range refers to the distance an electric vehicle can travel continuously under certain operating conditions after being fully charged. Remaining driving range refers to the distance an electric vehicle can travel under certain operating conditions with the current onboard power.

[0028] In the embodiments of the present application, since the energy consumption of an electric vehicle is directly related to the remaining driving range, the present application determines the remaining driving range based on factors affecting energy consumption. Factors affecting energy consumption may include, but are not limited to, driving behavior, ambient temperature, and vehicle speed. Driving behavior includes rapid acceleration and deceleration. Rapid acceleration refers to the behavior of a vehicle rapidly increasing its speed in a short period of time, while rapid deceleration refers to the behavior of a vehicle rapidly decreasing its speed in a short period of time.

[0029] like Figure 1 As shown in , the method for determining the remaining driving range of an electric vehicle provided in an embodiment of the present application includes the following steps: Step S101 : determining the energy consumption of the target electric vehicle per 100 kilometers based on the number of times the acceleration of the target electric vehicle satisfies a preset rule during current driving.

[0030] In this step, the preset rule is that the acceleration is greater than the first preset acceleration threshold and the acceleration is less than the second acceleration threshold. Here, the acceleration is greater than the first preset acceleration threshold, indicating that the target electric vehicle is undergoing rapid acceleration, and the acceleration is less than the second acceleration threshold, indicating that the target electric vehicle is undergoing rapid deceleration. As an example, the first preset acceleration threshold is , the second preset acceleration threshold is .

[0031] Specifically, the preset rule is that the acceleration is greater than the first preset acceleration threshold and the acceleration is less than the second acceleration threshold, which means that the target electric vehicle counts the sum of the number of sudden accelerations and the number of sudden decelerations that occur in the current driving of the target electric vehicle.

[0032] In the embodiments of the present application, the first 100-kilometer energy consumption is obtained based on driving behavior. By determining the driving behavior, the energy consumption differences caused by aggressive or smooth driving styles can be effectively captured, thereby achieving dynamic quantification of the impact of driving behavior on energy consumption.

[0033] The following will be combined with Figure 2 to illustrate how to determine the first 100-kilometer energy consumption of the target electric vehicle based on the number of times the acceleration of the target electric vehicle during the current driving satisfies a preset rule.

[0034] Please refer to Figure 2 , Figure 2 which is the second flowchart of a method for determining the remaining driving range of an electric vehicle provided by an embodiment of the present application.

[0035] As shown in Figure 2 , regarding step S101, in specific implementation, as an example, it may include the following steps: Step S1011, determine the preset number interval to which the number of times the acceleration of the target electric vehicle during the current driving satisfies the preset rule belongs.

[0036] In the embodiments of the present application, as an example, the preset number intervals are set as: 0 < n ≤ 3, 3 < n ≤ 6, and 6 < n, where n is the number of times the acceleration during driving satisfies the preset rule. In the present application, the preset number intervals can also be set according to the actual working conditions or other methods, which are not limited herein.

[0037] Step S1012, based on the preset number interval to which the number of times the acceleration satisfies the preset rule belongs, determine the driving behavior energy consumption coefficient corresponding to the target electric vehicle during the current driving.

[0038] In the embodiments of the present application, as an example, the driving behavior energy consumption coefficient corresponding to 0 < n ≤ 3 is 1.2, the driving behavior energy consumption coefficient corresponding to 3 < n ≤ 6 is 1.4, and the driving behavior energy consumption coefficient corresponding to 6 < n is 1.7. In the present application, the driving behavior energy consumption coefficients corresponding to different preset number intervals can also be set according to the actual working conditions or other methods, which are not limited herein.

[0039] In the present application, by setting adjustable driving behavior energy consumption coefficients, the impact of different driving styles on energy consumption is quantified.

[0040] Step S1013, based on the driving behavior energy consumption coefficient, the preset 100-kilometer energy consumption, the number of times the acceleration satisfies the preset rule, the average power consumption, and the current driving distance, determine the first 100-kilometer energy consumption of the target electric vehicle.

[0041] Here, the average power consumption refers to the value obtained by adding the increased power consumption each time the acceleration meets the preset rules and dividing it by the number of times the acceleration meets the preset rules. That is, the average power consumption is the value obtained by adding the increased power consumption of the target electric vehicle after rapid acceleration and rapid deceleration, and then dividing it by the sum of the number of rapid acceleration and rapid deceleration that occur in the target electric vehicle during the current driving.

[0042] As an example, the energy consumption of the target electric vehicle in the first 100 kilometers = the preset energy consumption per 100 kilometers + n×average power consumption×driving behavior energy consumption coefficient×100 kilometers / current driving distance.

[0043] In the present application, it can be seen from the above that a driving behavior model can be constructed based on the number of rapid accelerations and rapid decelerations per 100 kilometers, and the number of times the acceleration of the target electric vehicle meets the preset rules during the current driving is directly input into the driving behavior model to obtain the energy consumption per 100 kilometers output by the driving behavior model.

[0044] See again Figure 1 , step S102, determining the energy consumption of the target electric vehicle for 200 kilometers based on the current external ambient temperature of the target electric vehicle.

[0045] In the embodiment of the present application, the energy consumption at the 200th kilometer is obtained based on the ambient temperature. By taking into account factors such as the energy consumption change of the air conditioning system, the effect of the ambient temperature on the energy consumption is accurately reflected.

[0046] The following combination Figure 3 To illustrate how to determine the energy consumption of the target electric vehicle for 200 kilometers based on the current external ambient temperature of the target electric vehicle.

[0047] See also Figure 3 , Figure 3 This is a third flowchart of a method for determining the remaining driving range of an electric vehicle provided in an embodiment of the present application.

[0048] like Figure 3 As shown in FIG, regarding step S102, in a specific implementation, as an example, the following steps may be included: Step S1021 , determining the preset temperature range to which the current ambient temperature outside the target electric vehicle belongs.

[0049] In the embodiments of this application, the operating conditions are divided into three categories: normal temperature, high temperature, and low temperature, based on the ambient temperature. As an example, the preset temperature ranges are set as follows: normal temperature: 20°C ≤ T ≤ 26°C, high temperature: 32°C ≤ T ≤ 38°C, and low temperature: -10°C ≤ T ≤ -4°C, where T is the ambient temperature. In this application, the preset temperature ranges can also be set based on actual operating conditions or other methods, which are not limited here.

[0050] Step S1022 : determining the ambient temperature energy consumption coefficient corresponding to the current driving of the target electric vehicle based on the preset temperature range to which the ambient temperature belongs.

[0051] In the embodiment of the present application, as an example, the ambient temperature energy consumption coefficient corresponding to 20°C ≤ T ≤ 26°C is 1, the ambient temperature energy consumption coefficient corresponding to 32°C ≤ T ≤ 38°C is 1.3, and the ambient temperature energy consumption coefficient corresponding to -10°C ≤ T ≤ -4°C is 1.6. In the present application, the ambient temperature energy consumption coefficients corresponding to different preset temperature ranges can also be set according to actual working conditions or other methods, and are not limited here.

[0052] Step S1023: determining the product of the ambient temperature energy consumption coefficient and the preset energy consumption per 100 kilometers as the second 100-kilometer energy consumption of the target electric vehicle.

[0053] See again Figure 1 , step S103, determining the energy consumption of the target electric vehicle at 300 kilometers based on the current speed of the target electric vehicle.

[0054] In the embodiment of the present application, the energy consumption at the 300th kilometer mark is obtained based on the vehicle speed. By determining the vehicle speed, the impact of the vehicle speed factor on energy consumption can be quantified.

[0055] The following combination Figure 4 To illustrate how to determine the energy consumption of the target electric vehicle at 300 kilometers based on the current speed of the target electric vehicle.

[0056] See also Figure 4 , Figure 4 This is a fourth flowchart of a method for determining the remaining driving range of an electric vehicle provided in an embodiment of the present application.

[0057] like Figure 4 As shown in FIG, regarding step S103, in a specific implementation, as an example, the following steps may be included: Step S1031 , determining the preset speed range to which the current speed of the target electric vehicle belongs.

[0058] In this embodiment of the present application, vehicle speed is divided into three operating conditions: slow, fast, and high. This distinguishes different energy consumption characteristics, such as frequent low-speed starts and stops, efficient medium-speed driving, and wind resistance-dominated high-speed driving. As an example, the preset speed ranges are set as follows: slow: V ≤ 20 km / h, fast: 40 km / h ≤ V ≤ 60 km / h, and high-speed: 80 km / h ≤ V ≤ 120 km / h, where V is the vehicle speed. In this application, preset speed ranges can also be set based on actual operating conditions or other methods, and are not limited here.

[0059] Step S1032 : determining a vehicle speed energy consumption coefficient corresponding to the current driving of the target electric vehicle based on the preset vehicle speed range to which the vehicle speed belongs.

[0060] In the embodiment of the present application, as an example, the vehicle speed energy consumption coefficient corresponding to V≤20km / h is 1.3, the vehicle speed energy consumption coefficient corresponding to 40km / h≤V≤60km / h is 1.1, and the vehicle speed energy consumption coefficient corresponding to 80km / h≤V≤120km / h is 1.5. In the present application, the vehicle speed energy consumption coefficients corresponding to different preset speed ranges can also be set according to actual operating conditions or other methods, and are not limited here.

[0061] Step S1033: The product of the vehicle speed energy consumption coefficient and the preset energy consumption per 100 kilometers is determined as the energy consumption per 300 kilometers of the target electric vehicle.

[0062] See again Figure 1 , step S104, determining the remaining driving range of the target electric vehicle based on the first 100-kilometer energy consumption, the second 100-kilometer energy consumption, the third 100-kilometer energy consumption and the current remaining power of the target electric vehicle.

[0063] The following combination Figure 5 To illustrate how to determine the remaining driving range of the target electric vehicle based on the first 100-kilometer energy consumption, the second 200-kilometer energy consumption, the third 300-kilometer energy consumption and the current remaining power of the target electric vehicle.

[0064] See also Figure 5 , Figure 5 This is a fifth flow chart of a method for determining the remaining driving range of an electric vehicle provided in an embodiment of the present application.

[0065] like Figure 5 As shown in FIG, regarding step S104, in a specific implementation, as an example, the following steps may be included: Step S1041 , multiplying the energy consumption per 100 kilometers, the energy consumption per 200 kilometers, and the energy consumption per 300 kilometers by corresponding weights respectively and then adding the results to obtain the actual energy consumption per 100 kilometers of the target electric vehicle.

[0066] Here, this application constructs a weight distribution system. As an example, the weight corresponding to driving behavior is set to 40%, the weight corresponding to ambient temperature is set to 30%, and the weight corresponding to vehicle speed is set to 30%. In this application, the weight ratio can also be set according to actual working conditions or other methods, which are not limited here. Specifically, the actual energy consumption of the target electric vehicle per 100 kilometers = energy consumption for the first 100 kilometers × 40% + energy consumption for the second 100 kilometers × 30% + energy consumption for the third 100 kilometers × 30%.

[0067] Step S1042 : determining the remaining driving range of the target electric vehicle based on the current remaining power of the target electric vehicle and the actual energy consumption per 100 kilometers.

[0068] Here, the target electric vehicle's remaining range is calculated by dividing the target electric vehicle's current remaining charge by its actual energy consumption per 100 kilometers, and then multiplying the result by a preset parameter. For example, the target electric vehicle's remaining range = the target electric vehicle's current remaining charge / its actual energy consumption per 100 kilometers × 100.

[0069] In this application, if a fixed operating condition model is used, it will be difficult to adapt to the changing operating condition combinations, causing the model's predictive ability to significantly decrease as the operating condition complexity increases. As can be seen from the above, a remaining driving range calculation model can be constructed based on a weight distribution system and operating condition classification standards. The energy consumption per 100 kilometers, 200 kilometers, and 300 kilometers, as well as the current remaining battery charge, are input into the remaining driving range calculation model to obtain the remaining driving range output by the remaining driving range calculation model. Based on historical energy consumption data and combined with real-time monitored operating condition parameters, this model dynamically calculates the energy consumption per 100 kilometers under the current operating conditions, thereby accurately inferring the remaining driving range.

[0070] The following is a specific example to illustrate the method for determining the remaining driving range of an electric vehicle provided in this application: The electric vehicle records the sum of the number of sudden accelerations and decelerations during the current driving process. If the electric vehicle experiences three sudden accelerations and decelerations during a 5-kilometer journey, the corresponding driving behavior energy consumption coefficient is 1.2. Each additional acceleration and deceleration consumes 0.05 kWh. The increased energy consumption per 100 kilometers is: 3 × 0.05 × 1.2 × 100 / 5 = 3.6 kWh / 100 km. Assuming a preset energy consumption of 12.1 kWh / 100 km, the energy consumption per 100 kilometers based on driving behavior, i.e., the energy consumption for the first 100 kilometers, is: 12.1 + 3.6 = 15.7 kWh / 100 km. The electric vehicle uses an ambient temperature sensor to collect the current external ambient temperature. If the current external ambient temperature is -7°C, the corresponding ambient temperature energy consumption coefficient is 1.6. The energy consumption per 100 kilometers based on ambient temperature, i.e., the energy consumption for the second 100 kilometers, is: 12.1 × 1.6 = 19.4 kWh / 100 km. The electric vehicle collects the current speed. If the current speed is 45 km / h, the corresponding speed energy consumption coefficient is 1.1. The speed-based energy consumption per 100 kilometers (i.e., the energy consumption for the third 100 kilometers) is: 12.1 × 1.1 = 13.1 kWh / 100 km. The final energy consumption per 100 kilometers is calculated by weighting the energy consumption of each dimension: assuming driving behavior accounts for 40%, ambient temperature accounts for 30%, and speed accounts for 30%. The actual energy consumption per 100 kilometers is 15.7 × 0.4 + 19.4 × 0.3 + 13.1 × 0.3 = 16.1 kWh / 100 km. If the current remaining battery charge is 50 kWh, the remaining driving range is 50 / 16.1 × 100 = 311 km.

[0071] An embodiment of the present application provides a method for determining the remaining driving range of an electric vehicle. Through the method, the error in calculating the remaining driving range is reduced, effectively alleviating people's mileage anxiety.

[0072] Based on the same application concept, the embodiments of the present application also provide a device for determining the remaining cruising range of an electric vehicle corresponding to the method for determining the remaining cruising range of an electric vehicle provided in the above embodiments. Since the principle of solving the problem by the device in the embodiments of the present application is similar to the method for determining the remaining cruising range of an electric vehicle in the above embodiments of the present application, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be repeated.

[0073] See also Figure 6 , Figure 6 A schematic diagram of the structure of a device for determining the remaining cruising range of an electric vehicle provided in an embodiment of the present application.

[0074] like Figure 6 As shown in , the determining device 610 provided in the embodiment of the present application includes: The 100-kilometer energy consumption determination module 611 is used to determine the 100-kilometer energy consumption of the target electric vehicle based on the number of times the acceleration of the target electric vehicle meets a preset rule during the current driving; A 200-kilometer energy consumption determination module 612 is configured to determine the 200-kilometer energy consumption of the target electric vehicle based on the current ambient temperature outside the target electric vehicle; A 300-kilometer energy consumption determination module 613 is configured to determine the 300-kilometer energy consumption of the target electric vehicle based on the current speed of the target electric vehicle; The remaining driving range determination module 614 is used to determine the remaining driving range of the target electric vehicle based on the first 100-kilometer energy consumption, the second 200-kilometer energy consumption, the third 100-kilometer energy consumption and the current remaining power of the target electric vehicle.

[0075] Furthermore, the preset rule is that the acceleration is greater than a first preset acceleration threshold and the acceleration is less than a second acceleration threshold.

[0076] Furthermore, the first 100-kilometer energy consumption determination module 611 is specifically configured to: Determining a preset number interval to which the number of times the acceleration of the target electric vehicle meets a preset rule during current driving belongs; Determining a driving behavior energy consumption coefficient corresponding to the current driving of the target electric vehicle based on a preset number interval to which the number of times the acceleration satisfies the preset rule belongs; The energy consumption per 100 kilometers of the target electric vehicle is determined based on the driving behavior energy consumption coefficient, the preset energy consumption per 100 kilometers, the number of times the acceleration meets the preset rules, the average power consumption and the current driving distance; wherein the average power consumption is obtained by adding the increased power consumption each time the acceleration meets the preset rules and dividing the result by the number of times the acceleration meets the preset rules.

[0077] Furthermore, the 200-kilometer energy consumption determination module 612 is specifically configured to: Determining a preset temperature range to which the current ambient temperature outside the target electric vehicle belongs; Determining an ambient temperature energy consumption coefficient corresponding to the current driving of the target electric vehicle based on the preset temperature range to which the ambient temperature belongs; The product of the ambient temperature energy consumption coefficient and the preset energy consumption per 100 kilometers is determined as the 200-kilometer energy consumption of the target electric vehicle.

[0078] Furthermore, the 300-kilometer energy consumption determination module 613 is specifically configured to: Determining a preset speed range to which the current speed of the target electric vehicle belongs; Determining a vehicle speed energy consumption coefficient corresponding to the current driving of the target electric vehicle based on the preset vehicle speed range to which the vehicle speed belongs; The product of the vehicle speed energy consumption coefficient and the preset energy consumption per 100 kilometers is determined as the energy consumption per 300 kilometers of the target electric vehicle.

[0079] Furthermore, the remaining driving range determination module 614 is specifically configured to: The energy consumption per 100 kilometers, the energy consumption per 200 kilometers, and the energy consumption per 300 kilometers are multiplied by the corresponding weights and then added together to obtain the actual energy consumption per 100 kilometers of the target electric vehicle; The remaining driving range of the target electric vehicle is determined based on the current remaining power of the target electric vehicle and the actual energy consumption per 100 kilometers.

[0080] An embodiment of the present application provides a device for determining the remaining driving range of an electric vehicle. Through the device, the error in calculating the remaining driving range is reduced, effectively alleviating people's mileage anxiety.

[0081] See also Figure 7 , Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0082] like Figure 7 As shown in FIG, the electronic device 700 includes a processor 710 , a memory 720 and a bus 730 .

[0083] The memory 720 stores machine-readable instructions executable by the processor 710. When the electronic device 700 is running, the processor 710 communicates with the memory 720 via the bus 730. When the machine-readable instructions are executed by the processor 710, the above-mentioned Figure 1 、 Figure 2 、 Figure 3 、 Figure 4 and Figure 5 The steps of the method for determining the remaining cruising range of an electric vehicle in the method embodiment shown are specifically implemented in accordance with the method embodiment and will not be described in detail here.

[0084] The embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the computer program can execute the above-mentioned Figure 1 、 Figure 2 、 Figure 3 、 Figure 4 and Figure 5 The steps of the method for determining the remaining cruising range of an electric vehicle in the method embodiment shown are specifically implemented in accordance with the method embodiment and will not be described in detail here.

[0085] An embodiment of the present application further provides an electric vehicle, which includes the above-mentioned device for determining the remaining driving range of the electric vehicle.

[0086] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the system and device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here. In the several embodiments provided in this application, it should be understood that the disclosed system, device and method can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0087] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0088] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0089] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0090] The above are only specific embodiments of the present application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A method for determining the remaining driving range of an electric vehicle, characterized in that: The determination method includes: determining the energy consumption of the target electric vehicle per 100 kilometers based on the number of times the acceleration of the target electric vehicle meets a preset rule during the current driving; determining the 200-kilometer energy consumption of the target electric vehicle based on the current ambient temperature outside the target electric vehicle; Determining the energy consumption of the target electric vehicle at 300 kilometers based on the current speed of the target electric vehicle; Based on the first 100-kilometer energy consumption, the second 200-kilometer energy consumption, the third 300-kilometer energy consumption and the current remaining power of the target electric vehicle, the remaining driving range of the target electric vehicle is determined.

2. The method for determining the remaining driving range of an electric vehicle according to claim 1, characterized in that: The preset rule is that the acceleration is greater than a first preset acceleration threshold and the acceleration is less than a second acceleration threshold.

3. The method for determining the remaining driving range of an electric vehicle according to claim 1, characterized in that: The determining of the energy consumption of the target electric vehicle per 100 kilometers based on the number of times the acceleration of the target electric vehicle satisfies a preset rule during the current driving includes: Determining a preset number interval to which the number of times the acceleration of the target electric vehicle meets a preset rule during current driving belongs; Determining a driving behavior energy consumption coefficient corresponding to the current driving of the target electric vehicle based on a preset number interval to which the number of times the acceleration satisfies the preset rule belongs; The energy consumption per 100 kilometers of the target electric vehicle is determined based on the driving behavior energy consumption coefficient, the preset energy consumption per 100 kilometers, the number of times the acceleration meets the preset rules, the average power consumption and the current driving distance; wherein the average power consumption is obtained by adding the increased power consumption each time the acceleration meets the preset rules and dividing the result by the number of times the acceleration meets the preset rules.

4. The method for determining the remaining driving range of an electric vehicle according to claim 1, characterized in that: The determining the energy consumption of the target electric vehicle at 200 kilometers based on the current ambient temperature outside the target electric vehicle includes: Determining a preset temperature range to which the current ambient temperature outside the target electric vehicle belongs; Determining an ambient temperature energy consumption coefficient corresponding to the current driving of the target electric vehicle based on the preset temperature range to which the ambient temperature belongs; The product of the ambient temperature energy consumption coefficient and the preset energy consumption per 100 kilometers is determined as the 200-kilometer energy consumption of the target electric vehicle.

5. The method for determining the remaining driving range of an electric vehicle according to claim 1, characterized in that: The determining, based on the current speed of the target electric vehicle, the energy consumption of the target electric vehicle at 300 kilometers per hour includes: Determining a preset speed range to which the current speed of the target electric vehicle belongs; Determining a vehicle speed energy consumption coefficient corresponding to the current driving of the target electric vehicle based on the preset vehicle speed range to which the vehicle speed belongs; The product of the vehicle speed energy consumption coefficient and the preset energy consumption per 100 kilometers is determined as the energy consumption per 300 kilometers of the target electric vehicle.

6. The method for determining the remaining driving range of an electric vehicle according to claim 1, characterized in that: The determining the remaining driving range of the target electric vehicle based on the first 100-kilometer energy consumption, the second 200-kilometer energy consumption, the third 300-kilometer energy consumption, and the current remaining power of the target electric vehicle includes: The energy consumption per 100 kilometers, the energy consumption per 200 kilometers, and the energy consumption per 300 kilometers are multiplied by the corresponding weights and then added together to obtain the actual energy consumption per 100 kilometers of the target electric vehicle; The remaining driving range of the target electric vehicle is determined based on the current remaining power of the target electric vehicle and the actual energy consumption per 100 kilometers.

7. A device for determining the remaining driving range of an electric vehicle, characterized in that: The determining device comprises: A 100-kilometer energy consumption determination module, configured to determine the 100-kilometer energy consumption of the target electric vehicle based on the number of times the acceleration of the target electric vehicle meets a preset rule during current driving; A 200-kilometer energy consumption determination module, configured to determine the 200-kilometer energy consumption of the target electric vehicle based on the current external ambient temperature of the target electric vehicle; A 300-kilometer energy consumption determination module, configured to determine the 300-kilometer energy consumption of the target electric vehicle based on the current speed of the target electric vehicle; The remaining driving range determination module is used to determine the remaining driving range of the target electric vehicle based on the first 100-kilometer energy consumption, the second 200-kilometer energy consumption, the third 300-kilometer energy consumption and the current remaining power of the target electric vehicle.

8. An electronic device, characterized in that: include: A processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor and the memory communicate via the bus. When the processor is running, the machine-readable instructions execute the steps of the method for determining the remaining driving range of an electric vehicle as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for determining the remaining driving range of an electric vehicle according to any one of claims 1 to 6 are executed.

10. An electric vehicle, characterized in that: The electric vehicle includes the device for determining the remaining driving range of the electric vehicle according to claim 7.

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