A method, system and vehicle for calculating the driving range of an EV model

Abstract

This invention relates to a method, system, and vehicle for calculating the driving range of an EV (Electric Vehicle) model, belonging to the field of EV energy management technology. It acquires vehicle navigation information and local energy consumption information, and combines this with the navigation information to fit changes in vehicle speed under driving conditions, obtaining fitted driving speed information. Based on the actual driving route and road conditions, it predicts speed changes, thus more accurately simulating actual driving conditions. Using this more accurate fitted driving speed information, combined with a powertrain model and temperature compensation correction, it can more precisely calculate the vehicle's energy consumption from origin to destination, thereby obtaining a more accurate driving range prediction. Furthermore, because this method is based on real-time acquired navigation information, it can dynamically adjust the predicted driving range to adapt to various changes that may occur during driving. The real-time updating of local energy consumption information further enhances the real-time nature and dynamism of the driving range calculation, further improving the accuracy and scientific validity of this prediction method.

Description

Technical Field

[0001] This invention belongs to the field of EV energy management technology, specifically relating to a method, system, and vehicle for calculating the driving range of an EV model. Background Technology

[0002] With the rapid development of the new energy vehicle industry and consumers' growing acceptance of environmentally friendly and energy-saving travel options, the market penetration rate of EV models is gradually increasing. Customers are paying increasing attention to driving range. The driving range directly affects the vehicle's usability and convenience, hence customers have high expectations. In actual use, due to various factors (such as road conditions, driving habits, and air conditioning usage), the actual driving range of EV models often differs from the official stated value, causing anxiety among customers regarding inaccurate range claims. Official stated values ​​are usually obtained under relatively ideal testing conditions, while real-world use involves various complex situations, such as high-speed driving, frequent acceleration and deceleration, and air conditioning use, all of which increase energy consumption and reduce the actual driving range.

[0003] The drive system accounts for a large proportion of the total energy consumption of EV models. The power consumption of the drive system fluctuates greatly with changes in driving conditions, resulting in significant differences in energy consumption of the whole vehicle under different driving conditions, which makes it more difficult to accurately predict the driving range. Summary of the Invention

[0004] The purpose of this invention is to provide a method, system, and vehicle for calculating the driving range of EV models, in order to solve the technical problem that the official nominal values ​​in the prior art do not take into account the differences in energy consumption of the whole vehicle under different driving conditions, resulting in low accuracy of driving range prediction.

[0005] To achieve the above objectives, the present invention employs the following technical solution:

[0006] A method for calculating the driving range of an EV model includes:

[0007] Obtain vehicle navigation information and local energy consumption information;

[0008] The fitted vehicle speed information is obtained by fitting the vehicle speed changes under driving conditions based on the vehicle navigation information.

[0009] Based on the fitted driving condition speed information and the power system model, the vehicle's driving energy consumption from the origin to the destination is calculated using temperature compensation correction; the corresponding driving range is calculated based on the driving energy consumption and local energy consumption information.

[0010] Preferably, the vehicle navigation information includes: road speed limit information, road congestion information, temperature and traffic light information.

[0011] Preferably, the process of obtaining the fitted driving condition speed information by fitting the vehicle speed changes under the fitted driving conditions specifically involves:

[0012] The maximum and average speed of the vehicle are estimated by segment based on vehicle navigation information and road conditions.

[0013] The fitted driving condition speed information is obtained by fitting the vehicle speed changes under the driving conditions based on the vehicle's maximum speed and average speed.

[0014] Preferably, the step of calculating the corresponding driving range based on driving energy consumption and local energy consumption information specifically involves: calculating the vehicle's corresponding energy consumption value per 100 kilometers based on the calculated vehicle driving energy consumption and local energy consumption information, and calculating the vehicle's dynamic driving range based on the vehicle's energy consumption value per 100 kilometers and battery information.

[0015] Preferably, the weighted calculation of the vehicle's energy consumption per 100 kilometers specifically involves:

[0016]

[0017] Among them, E consumpt This represents the energy consumption value; f temp S is the temperature correction factor; mileage Standard mileage; P req (t) represents the power demand; t0 represents the start time; t f This is the end time.

[0018] An EV vehicle range calculation system, comprising:

[0019] The acquisition unit is used to acquire vehicle navigation information and local energy consumption information;

[0020] The fitting unit is used to fit the vehicle speed changes under driving conditions based on the vehicle navigation information to obtain the fitted vehicle speed information under driving conditions.

[0021] The calculation unit is used to calculate the vehicle's driving energy consumption from the origin to the destination based on the fitted driving condition speed information and the power system model, and with temperature compensation correction; and to calculate the corresponding driving range based on the driving energy consumption and local energy consumption information.

[0022] Preferably, the acquisition unit includes a vehicle navigation system and a vehicle controller. The vehicle navigation system transmits navigation information to the fitting unit, and the vehicle controller transmits local energy consumption information to the calculation unit.

[0023] Preferably, the fitting unit is a host computer that obtains the fitted driving condition speed information by fitting the vehicle speed change under driving conditions based on the vehicle navigation information in the cloud.

[0024] Preferably, the computing unit is a host computer and a vehicle controller. The host computer is used to calculate the vehicle's driving energy consumption from the origin to the destination based on the fitted driving condition speed information and the power system model, and according to temperature compensation correction; and transmits the vehicle's driving energy consumption to the vehicle controller.

[0025] The vehicle controller is used to calculate the corresponding driving range based on driving energy consumption and local energy consumption information.

[0026] An automobile includes the EV model range calculation system described in any one of the above, and the calculated range is displayed on the vehicle's dashboard.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] The EV vehicle range calculation method disclosed in this application obtains vehicle navigation information and local energy consumption information, and combines the vehicle navigation information with the vehicle speed change under driving conditions to obtain fitted driving condition speed information. Based on the actual driving route and road conditions, the method predicts vehicle speed changes, thereby more accurately simulating actual driving conditions. Based on the more accurate fitted driving condition speed information, combined with the power system model and temperature compensation correction, the vehicle's driving energy consumption from the origin to the destination can be calculated more accurately, thus obtaining a more accurate range prediction. At the same time, since this method is based on real-time acquired navigation information, it can dynamically adjust the range prediction to adapt to various changes that may occur during driving (such as changes in road conditions, weather, etc.). The real-time update of local energy consumption information further enhances the real-time and dynamic nature of the range calculation, further improving the accuracy and scientific nature of this prediction method. Attached Figure Description

[0029] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 This is a flowchart of the method of the present invention;

[0031] Figure 2 This is a system block diagram of an embodiment of the present invention;

[0032] Figure 3 This is a fitted vehicle speed information graph for the navigation information in an embodiment of the present invention.

[0033] Figure 4 This is a schematic diagram of cloud computing according to an embodiment of the present invention;

[0034] Figure 5 This is a schematic diagram illustrating the calculation of the driving range of the vehicle controller according to an embodiment of the present invention. Detailed Implementation

[0035] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0036] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0037] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0038] In the description of the embodiments of the present invention, it should be noted that if terms such as "upper," "lower," "horizontal," or "inner" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of the invention is in use, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. Furthermore, terms such as "first" and "second" are only used to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0039] Furthermore, the use of the term "horizontal" does not imply that the component must be absolutely horizontal, but rather that it can be slightly tilted. For example, "horizontal" simply means that its direction is more horizontal than "vertical," and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0040] In the description of the embodiments of the present invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention according to the specific circumstances.

[0041] The present invention will now be described in further detail with reference to the accompanying drawings:

[0042] See Figure 1 This invention discloses a method for calculating the driving range of an EV model, specifically including the following steps:

[0043] S1: Obtain vehicle navigation information and local energy consumption information;

[0044] S2: Fit the vehicle speed information based on the vehicle navigation information to obtain the vehicle speed information under the driving conditions; predict the vehicle speed change based on the actual driving route and road conditions, so as to more accurately simulate the actual driving conditions and obtain the more accurate fitted vehicle speed information.

[0045] S3: Based on the vehicle speed information under the fitted driving conditions and the power system model, the energy consumption of the vehicle from the origin to the destination is calculated according to the temperature compensation correction. Based on the energy consumption and local energy consumption information, the corresponding driving range is calculated. By combining the power system model and temperature compensation correction, the energy consumption of the vehicle from the origin to the destination can be calculated more accurately, thus obtaining a more accurate driving range prediction.

[0046] Since this method is based on real-time acquired navigation information, it can dynamically adjust the predicted driving range to adapt to various changes that may occur during driving (such as changes in road conditions and weather). The real-time update of local energy consumption information further enhances the real-time and dynamic nature of the driving range calculation, thereby further improving the accuracy and scientific nature of this prediction method.

[0047] In some embodiments, the vehicle navigation information includes: road speed limit information, road congestion information, temperature and traffic light information, comprehensively acquiring various operating condition information to provide strong support for accurate prediction of driving range.

[0048] In some embodiments, the process of obtaining the fitted driving condition vehicle speed information by fitting the vehicle speed change under the fitted driving condition specifically involves:

[0049] The maximum and average speed of the vehicle are estimated by segment based on vehicle navigation information and road conditions.

[0050] The fitted driving condition speed information is obtained by fitting the vehicle's maximum speed and average speed to the driving condition speed changes. This is combined with various changes that may occur during driving, such as changes in road conditions and weather; by fully considering actual influencing factors, the system accurately simulates real driving conditions, further ensuring the accurate prediction of the driving range.

[0051] In some embodiments, calculating the corresponding driving range based on driving energy consumption specifically involves: calculating the vehicle's energy consumption per 100 kilometers by combining the calculated vehicle driving energy consumption with local energy consumption information; and calculating the vehicle's dynamic driving range based on the vehicle's energy consumption per 100 kilometers and battery information. Calculating the vehicle's energy consumption per 100 kilometers based on different local energy consumption information for different vehicles improves the scientific rigor, comprehensiveness, and dynamism of the calculation.

[0052] In some embodiments, the weighted calculation of the vehicle's energy consumption per 100 kilometers specifically involves:

[0053]

[0054] Among them, E consumpt This represents the energy consumption value; f temp S is the temperature correction factor; mileage Standard mileage; P req (t) represents the power demand.

[0055] This application also discloses an EV vehicle range calculation system, including:

[0056] The acquisition unit is used to acquire vehicle navigation information and local energy consumption information;

[0057] The fitting unit is used to fit the vehicle speed changes under driving conditions based on the vehicle navigation information to obtain the fitted vehicle speed information under driving conditions.

[0058] The calculation unit is used to calculate the vehicle's driving energy consumption from the origin to the destination based on the fitted driving condition speed information and the power system model, and with temperature compensation correction; and to calculate the corresponding driving range based on the driving energy consumption and local energy consumption information.

[0059] In some embodiments, see Figure 2 The acquisition unit includes a vehicle navigation system and a vehicle controller. The vehicle navigation system transmits navigation information to the fitting unit, and the vehicle controller transmits local energy consumption information to the calculation unit.

[0060] Furthermore, the navigation information is transmitted to the fitting unit via TBox / 4G / 5G.

[0061] In some embodiments, the fitting unit is a host computer that obtains the fitted driving condition speed information by fitting the vehicle speed change under driving conditions based on the vehicle navigation information in the cloud.

[0062] In some embodiments, the computing unit is a host computer and a vehicle controller. The host computer is used to calculate the vehicle's driving energy consumption from the origin to the destination based on the fitted driving condition speed information and the power system model, and according to temperature compensation correction; and transmits the vehicle's driving energy consumption to the vehicle controller.

[0063] The vehicle controller is used to calculate the corresponding driving range based on driving energy consumption and local energy consumption information.

[0064] Furthermore, the vehicle controller calculates the corresponding driving range based on driving energy consumption and local energy consumption information, and then transmits it to the instrument panel for display via CAN / ETN, so that the driver can directly and subjectively obtain the driving range.

[0065]

Example 1

[0066] A method for calculating the driving range of an EV model, see [link / reference]. Figure 2 The system uses navigation information transmitted from the in-vehicle navigation system, combined with speed limits, congestion conditions, temperature, and traffic light information for the navigation route, to estimate the vehicle's maximum and average speed for each road segment in the cloud. This data is then used to fit the vehicle's speed changes across the entire driving condition. Based on the fitted driving condition speed information and the powertrain model, the cloud calculates the vehicle's energy consumption from origin to destination, adjusting for temperature compensation. This data is then transmitted to the vehicle controller via TBox / 4G / 5G. The vehicle controller calculates the corresponding driving range based on the energy consumption and transmits this range to the instrument panel for display via CAN / ETN.

[0067] The EV range calculation strategy described above requires data exchange between the vehicle and the cloud. The vehicle needs to upload locally recorded energy consumption information and navigation information (road speed limits, congestion conditions, temperature, traffic lights, etc.) to the cloud, and download the navigation energy consumption information calculated by the cloud.

[0068] The key to this example is that the vehicle transmits navigation information to the cloud. The cloud then uses this navigation information to fit the vehicle speed for the entire driving period, and combines this with vehicle parameters and temperature corrections to predict and calculate the energy consumption from the origin to the destination. The vehicle controller then uses the energy consumption information returned from the cloud, combined with past driving energy consumption data stored in the vehicle controller, to calculate the corresponding energy consumption value per 100 kilometers. Based on the vehicle's energy consumption value per 100 kilometers and battery information, the dynamic driving range of the vehicle is calculated.

[0069]

Example 2

[0070] A method for calculating the driving range of an EV model includes using navigation information, combined with factors such as speed limits, congestion, temperature, and traffic lights along the navigation route, to estimate the vehicle's maximum and average speeds for each road segment in the cloud based on big data navigation information, and then fitting the vehicle speed changes across the entire driving condition. (See also...) Figure 3

[0071] Based on the fitted vehicle speed information under the driving conditions and combined with the hybrid power system model, the cloud calculates the driving energy consumption information from the origin to the destination according to the temperature correction.

[0072] See Figure 4 The essence of cloud-based model calculation is to calculate the vehicle power demand based on the vehicle speed information of the fitted operating conditions through the vehicle dynamics model, and then calculate the corresponding energy consumption of the vehicle based on the time information of the driving conditions and the energy management temperature correction.

[0073]

[0074] Among them, E consumpt This represents the energy consumption value; f temp S is the temperature correction factor; mileage Standard mileage; P req (t) represents the power demand.

[0075] The cloud will transmit the equivalent energy consumption of 100km based on the navigation information and the operating conditions to the vehicle controller. See [link / reference] Figure 5 The vehicle controller calculates the energy consumption value per 100 kilometers of the vehicle based on past driving energy consumption data, and calculates the dynamic driving range of the vehicle based on the energy consumption value per 100 kilometers and battery information.

[0076] This application also discloses a car that includes the EV model range calculation system described in any one of the above claims, and the calculated range is displayed on the vehicle's dashboard.

[0077] This application discloses a method, system, and vehicle for calculating the driving range of an EV model. The core of this method lies in the comprehensive utilization of vehicle navigation data and real-time local energy consumption data. First, by capturing and analyzing the vehicle's navigation information, the speed changes that the vehicle may encounter during actual driving can be accurately simulated, forming a set of fitted driving speed data that closely reflects actual operating conditions. The accuracy of this step ensures the foundation for subsequent calculations. Next, based on this fitted driving speed data, combined with a carefully constructed powertrain model and a temperature compensation correction mechanism, the energy consumption required for the vehicle to travel from its origin to its destination can be accurately calculated. This calculation process not only considers the vehicle's dynamic characteristics but also fully considers the impact of ambient temperature on battery performance, thereby ensuring the accuracy of the calculation results.

[0078] More importantly, because this method relies on real-time navigation information, it can dynamically adjust the predicted driving range during driving. This means that regardless of changes in road conditions or weather, the prediction method can react quickly and provide drivers with the latest and most accurate driving range information.

[0079] Furthermore, local energy consumption information is updated in real time, which further enhances the real-time and dynamic nature of range calculation. Each update means that the prediction method becomes more realistic and reliable.

[0080] In summary, the EV range calculation method disclosed in this application not only improves the accuracy of predictions but also enhances its scientific validity and practicality. Whether for daily commutes or long-distance travel, it provides drivers with timely and accurate range information, helping users better plan their trips and enjoy a safer and more convenient driving experience.

[0081] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0082] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0083] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0084] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0085] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for calculating the driving range of an EV model, characterized in that, include: Obtain vehicle navigation information and local energy consumption information; The vehicle navigation information includes: road speed limit information, road congestion information, temperature information, and traffic light information; The fitted driving condition speed information is obtained by fitting the vehicle speed changes under driving conditions based on the vehicle navigation information; specifically: the maximum speed and average speed of the vehicle are estimated by segment based on the vehicle navigation information and driving conditions; the fitted driving condition speed information is obtained by fitting the vehicle speed changes under driving conditions based on the maximum speed and average speed of the vehicle. Based on the fitted vehicle speed information under driving conditions and the powertrain model, the vehicle's energy consumption from origin to destination is calculated using temperature compensation correction. The corresponding driving range is then calculated based on this energy consumption and local energy consumption information. Specifically, the calculated energy consumption is combined with local energy consumption information to weightedly calculate the vehicle's energy consumption per 100 kilometers. Based on this energy consumption per 100 kilometers and battery information, the vehicle's dynamic driving range is calculated. The weighted calculation of the vehicle's energy consumption per 100 kilometers is specifically as follows: in, Energy consumption value; This is a temperature correction factor; Standard mileage; For power requirements; The start time; This is the end time.

2. A system for calculating the driving range of an EV model, characterized in that, The method for calculating the driving range of an EV vehicle as described in claim 1 includes: The acquisition unit is used to acquire vehicle navigation information and local energy consumption information; The fitting unit is used to fit the vehicle speed changes under driving conditions based on the vehicle navigation information to obtain the fitted vehicle speed information under driving conditions. The calculation unit is used to calculate the vehicle's driving energy consumption from the origin to the destination based on the fitted driving condition speed information and the power system model, and with temperature compensation correction; and to calculate the corresponding driving range based on the driving energy consumption and local energy consumption information.

3. The EV vehicle range calculation system according to claim 2, characterized in that, The acquisition unit includes a vehicle navigation system and a vehicle controller. The vehicle navigation system transmits navigation information to the fitting unit, and the vehicle controller transmits local energy consumption information to the calculation unit.

4. The EV vehicle range calculation system according to claim 2, characterized in that, The fitting unit is a host computer that obtains the fitted driving condition speed information by fitting the vehicle speed changes under driving conditions based on the vehicle navigation information in the cloud.

5. The EV vehicle range calculation system according to claim 2, characterized in that, The computing unit consists of a host computer and a vehicle controller. The host computer is used to calculate the vehicle's energy consumption from the origin to the destination based on the fitted driving condition speed information and the power system model, and according to temperature compensation correction. The vehicle's energy consumption is then transmitted to the vehicle controller. The vehicle controller is used to calculate the corresponding driving range based on driving energy consumption and local energy consumption information.

6. A car, characterized in that, The system includes the EV vehicle range calculation system as described in any one of claims 2 to 5, and the calculated range is displayed on the vehicle dashboard.

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