Intelligent vehicle speed suggestion and energy supplement planning method and system

Abstract

The invention discloses an intelligent vehicle speed suggestion and energy supplement planning method and system. The method comprises the steps that energy state data, driving environment data and routes of a target vehicle and the use condition of charging facilities in an expressway service area are acquired in real time; predicting energy consumption data of the target vehicle at different target vehicle speeds; calculating the predicted energy consumption, the remaining endurance mileage and the consumed time length for arriving at the destination under different target vehicle speeds, and reserving the target vehicle speed meeting the requirement of the time for arriving at the destination, and recording the target vehicle speed as the initial suggested vehicle speed; according to the predicted energy consumption and the remaining endurance mileage corresponding to the initial suggested vehicle speed, determining whether energy supplementation is needed, and selecting a target vehicle speed which meets the requirement of destination arrival time and has the lowest predicted energy consumption from the initial suggested vehicle speed as a suggested vehicle speed according to a result whether energy supplementation is needed; and any one charging pile position is selected from the positions of the charging piles in the idle state in the service area as an energy complementing planning position. According to the invention, intelligent vehicle speed suggestion and energy supplement planning can be realized.

Description

Technical Field

[0001] The present application relates to the field of intelligent vehicle driving management and energy management technology, and in particular to an intelligent vehicle speed recommendation and energy replenishment planning method and system. Background Art

[0002] With the rapid development of new energy vehicle technology, electric vehicles have gradually become the mainstream of the market. This has not only promoted the popularization of the concept of environmentally friendly travel, but also promoted the transformation and upgrading of related industries. However, despite the many advantages of new energy vehicles, range anxiety is still one of the key issues affecting user experience. With the increasing number of electric vehicles, how to effectively plan charging behavior and reasonably arrange vehicle speed to optimize energy consumption during highway driving has become a technical problem that needs to be solved urgently.

[0003] Existing solutions usually rely on navigation systems to provide basic route planning. These systems can usually only provide preliminary driving routes based on current road conditions and simple vehicle status parameters, but fail to fully consider the dynamic energy consumption changes of the vehicle and the actual use of charging facilities, resulting in great inconvenience and limitations in the actual vehicle driving process.

[0004] Considering the shortcomings of existing technologies in terms of vehicle energy status, real-time energy consumption and actual use of charging facilities, how to achieve intelligent vehicle speed recommendations and energy replenishment planning to avoid users having to frequently adjust their vehicle speed and charging plans while driving on highways, thereby alleviating users' inconvenience and range anxiety. Summary of the invention

[0005] In order to realize intelligent vehicle speed suggestion and energy replenishment planning, the present application provides an intelligent vehicle speed suggestion and energy replenishment planning method and system.

[0006] In a first aspect, the present application provides an intelligent vehicle speed suggestion and energy replenishment planning method, which specifically includes: Real-time acquisition of target vehicle energy status data, target vehicle driving environment data and route, and usage of charging facilities in highway service areas; the energy status data includes: remaining power, remaining cruising range, vehicle speed and energy consumption data; the driving environment data includes: weather data, road conditions; the usage of charging facilities in highway service areas includes: location, number and usage status of charging piles; Based on the acquired vehicle speed, energy consumption data, weather conditions and road conditions, the energy consumption data of the target vehicle at different target speeds is predicted, and the expected energy consumption and remaining range at the current route and different target speeds are calculated; Calculate the time it takes to reach the destination along the current route at different target speeds, and keep the target speed that meets the user's requirements for the time it takes to reach the destination, which is recorded as the initial recommended speed; Based on the estimated energy consumption and remaining cruising range corresponding to the initial recommended speed, determine whether the target vehicle needs to be recharged. If no energy replenishment is needed, select the initial recommended speed with the lowest estimated energy consumption as the recommended speed. If energy replenishment is needed, calculate the time required for replenishment based on the remaining power and the estimated energy consumption, and select the target speed from the initial recommended speeds whose sum of the corresponding time consumption and the time required for replenishment still meets the user's arrival time requirement at the destination and whose corresponding target speed has the lowest estimated energy consumption as the recommended speed. Select any idle charging pile position in the service area that is not passed along the current route and whose distance from the current vehicle position determined by GPS is less than the remaining cruising range as the location of the energy replenishment plan.

[0007] By adopting the above solution, the energy consumption data of the target vehicle at different speeds is predicted according to the real-time energy status, speed, and energy consumption of the vehicle. The optimal speed recommendation is provided to the user on the premise of meeting the travel time requirements to improve energy utilization efficiency. Combined with the usage of charging piles in highway service areas, the optimized energy replenishment plan is provided to the user to reduce the user's range anxiety.

[0008] Preferably, it also includes: Calculate the distance from the current vehicle position determined by GPS to the planned location for energy replenishment, and the time it takes to travel the corresponding distance at the recommended speed to determine the time to arrive at the planned location for energy replenishment; Generate an instruction to initiate a reservation at the corresponding charging pile according to the planned location of the energy replenishment plan and the time to arrive at the planned location of the energy replenishment plan, and execute the instruction to initiate a reservation at the corresponding charging pile after determining that there is no conflicting reservation instruction at the charging pile and receiving the instruction triggered by the user on the target vehicle interaction panel to determine the charging pile to initiate the reservation; After determining that there is a conflicting reservation instruction for the charging pile or the instruction to initiate a reservation for the charging pile triggered by the user on the target vehicle interaction panel is not received, any charging pile position is reselected from the positions of idle charging piles in the service areas that have not been passed along the current route and are less than the remaining cruising range according to the current vehicle position determined by GPS, to update the position of the energy replenishment plan, and the time to arrive at the position of the energy replenishment plan is re-determined using the updated position of the energy replenishment plan and an instruction to initiate a reservation to the corresponding charging pile is generated, until it is determined that there is no conflicting reservation instruction for the charging pile and the instruction to initiate a reservation for the charging pile triggered by the user on the vehicle interaction panel is received, the position of the energy replenishment plan is stopped from being updated, and the instruction to initiate a reservation to the corresponding charging pile is executed.

[0009] By adopting the above solution, the time to arrive at the planned energy replenishment location is determined, charging piles are reserved for users in advance, charging waiting time is reduced, and user experience is improved.

[0010] Preferably, it also includes: Obtain the user's preference for the planned charging location, wherein the user preference includes the lowest charging cost or the highest service quality of the service area corresponding to the planned charging location; select a charging pile location that meets the user's preference from the locations of idle charging piles in the service areas that are not passed along the current route and are less than the remaining cruising range at the current vehicle location determined by GPS. As the planned charging location.

[0011] By adopting the above solution, user preferences are taken into consideration and the charging pile location that meets the user's preferences is selected as the location for energy replenishment planning, thereby better meeting the user's personalized needs and improving the user experience.

[0012] Preferably, it also includes: Collect user facial image data, physiological status data and user voice data in real time; use image recognition technology to analyze user facial image data and identify whether the user is in a state of fatigue; monitor physiological status data and identify whether the user is in a state of health risk; use voice recognition technology to identify whether the user requires a rest; If it is identified that the current user is in a fatigued state or has a health risk state or requires a rest, a recovery time is reserved; the distance from the current vehicle position determined by the GPS to the nearest emergency lane is calculated as the first distance, and the distance from the current vehicle position determined by the GPS to the planned location of the energy replenishment is calculated as the second distance, and the first distance is compared with the second distance. If the first distance is less than the second distance, it is determined that there is no intersection between the reserved recovery time and the time required for replenishing the electric energy, and any target speed corresponding to the sum of the consumed time, the time required for replenishing the electric energy and the reserved recovery time is selected from the preliminary recommended speeds, and any target speed corresponding to the sum of the consumed time and the time required for replenishing the electric energy is selected from the initial recommended speeds, and the time required for replenishing the electric energy still meets the time required for the user to arrive at the destination. If the first distance is greater than or equal to the second distance, it is determined that the reserved recovery time overlaps the time required to replenish electric energy, then any target speed whose corresponding sum of the consumed time, the time required to replenish electric energy and the reserved recovery time still meets the user's requirements for the time to arrive at the destination is continued to be selected from the preliminary recommended vehicle speeds, instead of any target speed whose corresponding sum of the consumed time and the time required to replenish electric energy still meets the user's requirements for the time to arrive at the destination.

[0013] By adopting the above solution, the user's physical condition can be effectively identified, rest can be arranged in time, driving safety can be ensured, and speed recommendations that meet the user's travel time requirements can be obtained.

[0014] Preferably, determining whether the target vehicle needs energy replenishment based on the estimated energy consumption and the remaining cruising range corresponding to the initial recommended vehicle speed includes: calculating the difference between the remaining cruising range of the vehicle and the distance from the current vehicle position determined by GPS to the destination, and judging whether the calculated distance difference is greater than a preset distance, and if so, determining that energy replenishment is not needed; otherwise, determining that energy replenishment is needed.

[0015] By adopting the above solution, the error between the estimated energy consumption corresponding to the initial recommended vehicle speed and the remaining cruising range is taken into account, and the error is combined to accurately compare whether energy replenishment is needed to ensure smooth arrival at the destination.

[0016] Preferably, it also includes: Determine whether the current time is a holiday. If it is a holiday, based on the usage of charging facilities in service areas that are not passed along the current route and are less than the remaining range from the current vehicle position determined by GPS, select any charging pile location from the idle charging piles in the service area with the highest charging pile idle rate as the location for the energy replenishment plan.

[0017] By adopting the above solution, considering that the utilization rate of charging piles in highway service areas is high during holidays, users are recommended to go to the service area with the highest charging pile idle rate, so as to balance the utilization rate of charging piles in each service area.

[0018] Preferably, the method further includes: directly displaying the recommended vehicle speed and energy replenishment planning position on the target vehicle's onboard interactive screen or notifying the user by voice broadcasting the recommended vehicle speed and energy replenishment planning position.

[0019] By adopting the above solution, the calculation results can be displayed to users in an intuitive manner, further improving the user experience and reducing battery life anxiety.

[0020] In a second aspect, the present application provides an intelligent vehicle speed suggestion and energy replenishment planning system, including: The vehicle driving data acquisition module is used to obtain the energy status data of the target vehicle, the driving environment data and route of the target vehicle, and the usage of the charging facilities in the highway service area in real time; the energy status data includes: remaining power, remaining cruising range, vehicle speed and energy consumption data; the driving environment data includes: weather data, road conditions; the usage of the charging facilities in the highway service area includes: the location, number and usage status of the charging piles; The vehicle driving energy consumption prediction module is used to predict the energy consumption data of the target vehicle at different target speeds based on the acquired vehicle speed, energy consumption data, weather conditions and road conditions, and calculate the expected energy consumption and remaining cruising range at different target speeds; The vehicle initial speed recommendation module is used to calculate the time it takes to reach the destination along the current route at different target speeds, and retain the target speed that meets the user's requirements for the time it takes to reach the destination, which is recorded as the initial recommended speed; The vehicle speed recommendation and energy replenishment planning module is used to determine whether the target vehicle needs energy replenishment based on the estimated energy consumption and remaining cruising range corresponding to the initial recommended speed. If no energy replenishment is needed, the initial recommended speed with the lowest estimated energy consumption is selected as the recommended speed; if energy replenishment is needed, the time required for energy replenishment is calculated based on the remaining power and the estimated energy consumption, and the target speed with the lowest estimated energy consumption and the sum of the corresponding time consumption and the time required for energy replenishment is selected from the initial recommended speeds as the recommended speed, and any charging pile position in the service area that is not passed along the current route and is less than the remaining cruising range from the idle charging pile position of the current vehicle position determined by GPS as the location of the energy replenishment planning.

[0021] By adopting the above solution, based on the vehicle's real-time energy status, speed, energy consumption, and the usage of charging piles in highway service areas, users can be provided with optimized vehicle speed recommendations and energy replenishment plans to reduce energy consumption and alleviate range anxiety.

[0022] In a third aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method as described above.

[0023] In a fourth aspect, the present application provides a computer device, comprising a memory, a processor, and a program stored and executable on the memory, wherein the program implements the steps of the above method when executed by the processor.

[0024] In summary, this application has the following beneficial effects: 1. By acquiring the target vehicle's energy status data, driving environment data, and the use of charging facilities in highway service areas in real time, the energy consumption data of the vehicle at different speeds is predicted, and the recommended speed that meets the user's arrival time requirements is calculated based on this, thereby effectively reducing the vehicle's energy consumption; combining the speed recommendation with the use of charging piles in the service area, it is determined whether energy replenishment is needed and a planned energy replenishment is generated, reducing the user's operating burden and range anxiety; 2. Determine the time to reach the planned charging location at the recommended speed and select the appropriate charging pile location for charging reservation, so as to avoid the situation where the charging pile is full after the user arrives at the service area, which significantly reduces the user's charging waiting time; 3. Identify the user’s physical condition, set rest time, ensure driving safety, and obtain speed recommendations that meet the user’s travel time requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 is a flow chart of the intelligent vehicle speed suggestion and energy replenishment planning method described in a specific embodiment; Figure 2 It is a diagram of data collection through communication and interaction with an external terminal in the intelligent vehicle speed suggestion and energy replenishment planning method described in a specific embodiment; Figure 3 It is a structural diagram of the intelligent vehicle speed suggestion and energy replenishment planning system described in a specific embodiment. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0027] like Figure 1 As shown, the embodiment of the present application discloses an intelligent vehicle speed suggestion and energy replenishment planning method, and the specific steps include: S1. Real-time acquisition of target vehicle energy status data, target vehicle driving environment data and route, and usage of charging facilities in highway service areas.

[0028] Specifically, Figure 2 As shown, by communicating with the on-board terminal device of the target vehicle, the energy status data and driving route of the target vehicle collected by the data acquisition unit (vehicle internal bus) in the on-board terminal device are obtained; wherein, the energy status data includes: remaining power, remaining cruising range, vehicle speed, energy consumption data (such as: energy consumption reduction rate) and other information; the driving route includes: the starting point, destination and planned route information input by the user through the display unit of the on-board terminal device.

[0029] By communicating with the highway operation monitoring system, the driving environment data of the target vehicle collected by the road condition information collection unit in the highway operation monitoring system is obtained; wherein the driving environment data of the target vehicle includes: weather data (temperature, rainfall, wind speed and other weather data), road conditions (road slope, road curve angle) and other information.

[0030] By communicating with the service area charging pile management system, the usage status of the service area charging facilities is obtained; wherein the usage status of the service area charging facilities includes: the location, quantity and usage status (idle status, usage status) of the charging piles and other information.

[0031] In addition, by communicating with the on-board terminal device of the target vehicle, the location information of the target vehicle determined in real time based on the GPS system, whether the current date is a holiday, etc. can be obtained.

[0032] S2. Based on the acquired vehicle speed, energy consumption data, weather conditions and road conditions, predict the energy consumption data of the target vehicle at different target speeds, and calculate the expected energy consumption and remaining cruising range at the current route and different target speeds.

[0033] Specifically, in order to obtain the optimized driving speed, it is necessary to determine the energy consumption data at different target speeds, so as to intelligently generate the recommended speed. Using the deep learning algorithm, the energy consumption data prediction model is constructed, and the historical vehicle speed, energy consumption data, weather conditions and road conditions are used for training and generation. The input of the model includes vehicle speed, weather conditions and road conditions, and the output of the model is energy consumption data.

[0034] Based on the weather conditions of the day and the road conditions of the corresponding route, the weather conditions, road conditions, and several preset target speeds are input into the energy consumption data prediction model to obtain energy consumption data at different speeds, such as: in clear weather, the power consumption per 100 kilometers under the condition of an average speed of 120km / h is 27.97kWh. Based on the predicted energy consumption data, the estimated energy consumption at different target speeds of the current route is calculated, that is, based on the current position and the route destination, the estimated energy consumption is calculated according to the destination; combined with the remaining battery capacity, the corresponding remaining cruising range is calculated from the current position at the target speed, and the calculation formula is the remaining power divided by the power consumption at the target speed.

[0035] In addition, in order to obtain as accurate energy consumption data as possible, the appropriate target speed is selected under different conditions such as slopes and bends to better adapt to complex road conditions, further optimize energy consumption management, and improve endurance. The target speed can be selected from several speed sets, including: the first speed corresponding to the vehicle in a downhill condition, and the second speed corresponding to the vehicle in an uphill condition. As part of the highway, the energy consumption of the highway service area from the road to the charging pile position of the highway service area is relatively low, and this part of the energy consumption is ignored in the calculation of the estimated energy consumption.

[0036] S3. Calculate the time required to reach the destination along the current route at different target vehicle speeds, and retain the target vehicle speed that meets the user's requirement for reaching the destination.

[0037] Specifically, the time consumed to reach the destination from the current position along the current route under different target speeds is calculated, and it is determined whether the time consumed at the current moment meets the user's requirements for reaching the destination. The target speed corresponding to the time required to reach the destination is retained and recorded as the initial recommended speed.

[0038] For example: at the first target vehicle speed of 110 km / h, the elapsed time is 1 h, the current time is 12 o'clock, the time to reach the destination is 13 o'clock, and the user's requirement for the time to reach the destination is before 14 o'clock. Since the user's demand is met, it is retained; at the second target vehicle speed of 100 km / h, the elapsed time is 1.5 h, the current time is 12 o'clock, the time to reach the destination is 13:30, and the user's requirement for the time to reach the destination is before 14 o'clock. Since the user's demand is met, it is retained.

[0039] S4. Determine whether the target vehicle needs to be recharged according to the estimated energy consumption corresponding to the initial recommended vehicle speed and the remaining cruising range.

[0040] Specifically, it is possible to directly compare the remaining cruising range X1 with the distance X2 from the current vehicle position determined by GPS to the destination. If X1 < X2, it indicates that the current remaining cruising range is not sufficient to support reaching the destination, and it is determined that recharging is required; otherwise, it is determined that recharging is not required.

[0041] S5. Obtain the recommended vehicle speed and the recharging plan according to the determination result of whether the target vehicle needs to be recharged.

[0042] Specifically, if it is determined that the target vehicle does not need to be recharged, starting from the perspective of reducing energy consumption, select the initial recommended vehicle speed corresponding to the lowest estimated energy consumption from all the retained target vehicle speeds as the recommended vehicle speed.

[0043] If it is determined that the target vehicle needs to be recharged, calculate the time required to replenish the electric energy according to the remaining battery power and the estimated energy consumption; assume that the remaining battery power of the device is (R) mAh, the estimated energy consumption is (E) mAh, and the charging speed of the charging pile is (C) mAh / min. The corresponding time (T) required to replenish the electric energy (in minutes) can be calculated by the following formula: T = (E - R) / C. Select the target vehicle speed from the initial recommended vehicle speeds whose sum of the corresponding elapsed time and the time required to replenish the electric energy still meets the user's requirement for the time to reach the destination and whose corresponding estimated energy consumption is the lowest as the recommended vehicle speed. For example: assume that the time required to replenish the electric energy is 30 minutes. Then, at the first target vehicle speed of 110 km / h, the elapsed time is 1 h, the current time is 12 o'clock. Adding the 30 min required to replenish the electric energy, the time to reach the destination is 13:30. The user's requirement for the time to reach the destination is before 14 o'clock, and the user's demand is met. The estimated energy consumption at the first target vehicle speed is 22.39 kWh; at the second target vehicle speed of 100 km / h, the elapsed time is 1.5 h, the current time is 12 o'clock. Adding the 30 min required to replenish the electric energy, the time to reach the destination is 14 o'clock. The user's requirement for the time to reach the destination is before 14 o'clock, and the user's demand is met. The estimated energy consumption at the first target vehicle speed is 19.44 kWh. Then, the final recommended speed is 100 km / h.

[0044] For vehicles that need to be recharged, any charging pile location is selected from the locations of idle charging piles in service areas that have not been passed along the current route and whose distance from the current vehicle position determined by GPS is less than the remaining cruising range as the location for recharging planning.

[0045] S6. Inform the user of the acquired recommended vehicle speed and energy replenishment plan.

[0046] Specifically, in order to present the calculation results to the user in an intuitive manner, the recommended vehicle speed and energy replenishment planning position can be directly displayed on the on-board interactive screen of the target vehicle's on-board terminal, or the recommended vehicle speed and energy replenishment planning position can be notified to the user by voice broadcast.

[0047] In a specific embodiment, in order to avoid the situation where the charging pile is full after arriving at the service area and reduce the charging waiting time, a reservation mode can be set to save user time. The method includes: Calculate the distance from the current vehicle position determined by GPS to the planned energy replenishment location, and the time it takes to travel the corresponding distance at the recommended speed to determine the time to arrive at the planned energy replenishment location, that is, the time after the calculated time at the current moment.

[0048] According to the location of the energy replenishment plan and the time of arriving at the location of the energy replenishment plan, an instruction to initiate a reservation with the charging pile at the corresponding location is generated; wherein, the instruction to initiate the reservation includes: the time of arriving at the location of the energy replenishment plan is the start time, and the reservation duration is the time required to replenish the electric energy.

[0049] Taking into account the possibility of conflicting reservations, after determining that there are no conflicting reservation instructions for the charging pile and receiving the instruction triggered by the user on the on-board interactive panel of the target vehicle to determine that the charging pile initiates a reservation, the instruction to initiate a reservation to the corresponding charging pile is executed, and the corresponding charging pile management system receives the initiated reservation instruction and performs charging reservation management.

[0050] After determining that there is a conflicting reservation instruction for the charging pile and no instruction is received from the user on the vehicle-mounted interactive panel to trigger and determine the charging pile to initiate a reservation, it indicates that the charging pile currently selected for energy replenishment has been prioritized for charging reservation by other vehicles or the user is dissatisfied with the location of the charging pile selected for energy replenishment. To ensure that the destination is reached smoothly, any charging pile location can be reselected from the locations of idle charging piles in the service areas that have not been passed along the current route and are less than the remaining range of the current vehicle position determined by GPS to update the location of the energy replenishment plan, and the time of arrival at the location of the energy replenishment plan is re-determined using the updated location of the energy replenishment plan and an instruction to initiate a reservation to the corresponding charging pile is generated, until it is determined that there is no conflicting reservation instruction for the charging pile and the instruction is received from the user on the vehicle interactive panel to trigger and determine the charging pile to initiate a reservation, the location of the energy replenishment plan is stopped from being updated, and the instruction to initiate a reservation to the corresponding charging pile is executed.

[0051] In a specific embodiment, multiple factors, such as user preferences or holiday factors, are considered to select the optimal service area as the charging location, and the method further includes: Obtain the user's preference for the planned charging location, wherein the user preference includes the lowest charging cost or the highest service quality of the service area corresponding to the planned charging location; select a charging pile location that meets the user's preference from the locations of idle charging piles in the service areas that are not passed along the current route and are less than the remaining cruising range at the current vehicle location determined by GPS, as the planned charging location, such as selecting the charging pile location with the lowest charging cost or any charging pile location located in the service area with the best service quality (the user has given the highest historical score for the service quality of each service area).

[0052] Or determine whether the current time is a holiday. If it is a holiday, consider that the utilization rate of charging piles in highway service areas is high during holidays. In order to balance the utilization rate of charging piles in each service area and reasonably set the energy replenishment plan, based on the usage of charging facilities in service areas that are not passed along the current route and are less than the remaining range from the current vehicle position determined by GPS, determine the service area with the highest charging pile idle rate and select any charging pile position from the idle charging piles in the service area as the location of the energy replenishment plan.

[0053] In a specific embodiment, when the target vehicle reaches the destination, it is necessary to set a reasonable rest time based on the user's physical condition, and obtain a recommended vehicle speed while meeting the time requirement for reaching the destination; the method includes: Collect user facial image data, physiological status data and user voice data in real time.

[0054] Specifically, use image recognition technology to analyze the user's facial image data to identify whether the user is in a fatigued state; for example: use the constructed facial state recognition neural network model to extract the features of the user's facial image data to identify whether the user's face is in a fatigued state. Monitor physiological state data to identify whether the user is in a state of health risk; wherein the physiological state data includes heart rate data, blood pressure data and other data, and there is a preset range of physiological state data corresponding to the health risk state, and judge whether the current user's physiological state data is within the preset range of physiological state data corresponding to the health risk state, so as to identify whether the user is in a state of health risk. Use voice recognition technology to identify whether the user requires a rest; for example: if the user says "I want to take a break", the voice recognition technology can be used to identify that the user requires a rest.

[0055] If it is identified that the current user is in a fatigued state or in a health risk state or requires a rest, a recovery time is reserved, and the reserved recovery time can be manually set.

[0056] Calculate the distance from the current vehicle position determined by GPS to the nearest emergency lane, recorded as the first distance; calculate the distance from the current vehicle position determined by GPS to the position of the energy replenishment plan, recorded as the second distance; compare the first distance with the second distance; if the first distance is less than the second distance, give priority to the emergency lane for rest; it can be determined that there is no intersection between the reserved recovery time and the time required for replenishing electric energy; continue to select any target speed from the initial recommended speeds, the sum of the corresponding time consumed, the time required for replenishing electric energy and the reserved recovery time still meeting the user's arrival time requirement, and replace any target speed from the initial recommended speeds, the sum of the corresponding time consumed and the time required for replenishing electric energy still meeting the user's arrival time requirement; If the first distance is greater than or equal to the second distance, a service area is given priority for rest. If it is determined that the reserved recovery time overlaps the time required to replenish power, any target speed whose corresponding sum of the time consumed, the time required to replenish power and the reserved recovery time still meets the user's requirements for the time to arrive at the destination is continued to be selected from the initial recommended speeds, replacing any target speed whose corresponding sum of the time consumed and the time required to replenish power still meets the user's requirements for the time to arrive at the destination.

[0057] In a specific embodiment, considering the error of the predicted energy consumption data, considering the above energy consumption to more accurately determine whether energy replenishment is needed, the method includes: Calculate the difference between the remaining cruising range of the vehicle and the distance from the current vehicle position to the destination determined by GPS, and determine whether the calculated distance difference is greater than a preset distance. If so, it is determined that no energy replenishment is required; otherwise, it is determined that energy replenishment is required. The preset distance can be determined based on the average error between the remaining cruising range calculated historically and the actual remaining cruising range.

[0058] like Figure 3 As shown, the embodiment of the present application discloses an intelligent vehicle speed suggestion and energy replenishment planning system, including: The vehicle driving data collection module 101 is used to obtain the energy status data of the target vehicle, the driving environment data and route of the target vehicle, and the usage of the charging facilities in the highway service area in real time; the energy status data includes: remaining power, remaining cruising range, vehicle speed and energy consumption data; the driving environment data includes: weather data, road conditions; the usage of the charging facilities in the highway service area includes: the location, number and usage status of the charging piles; The vehicle driving energy consumption prediction module 102 is used to predict the energy consumption data of the target vehicle at different target vehicle speeds based on the acquired vehicle speed, energy consumption data, weather conditions and road conditions, and calculate the estimated energy consumption and remaining cruising range at different target vehicle speeds; The vehicle initial speed suggestion module 103 is used to calculate the time taken to reach the destination along the current route at different target speeds, and retain the target speed corresponding to the time required to reach the destination by the user, which is recorded as the initial suggested speed; The vehicle speed recommendation and energy replenishment planning module 104 is used to determine whether the target vehicle needs energy replenishment based on the estimated energy consumption and the remaining cruising range corresponding to the initial recommended speed. If energy replenishment is not needed, the initial recommended speed with the lowest estimated energy consumption is selected as the recommended speed. If energy replenishment is needed, the time required for energy replenishment is calculated based on the remaining power and the estimated energy consumption, and the target speed with the lowest estimated energy consumption and the sum of the corresponding time consumption and the time required for energy replenishment is selected from the initial recommended speeds as the recommended speed, and any charging pile position is selected from the positions of the charging piles in the idle state in the service area that has not been passed along the current route and the distance from the current vehicle position determined by GPS to the remaining cruising range is less than the remaining cruising range as the energy replenishment planning position.

[0059] The system further comprises: The suggested speed and energy replenishment plan notification module 105 is used to notify the user by directly displaying the suggested vehicle speed and energy replenishment plan position on the target vehicle's onboard interactive screen or by voice broadcasting the suggested vehicle speed and energy replenishment plan position.

[0060] The energy replenishment planning reservation module 106 is used to calculate the distance from the current vehicle position determined by GPS to the position of the energy replenishment planning, and determine the time to arrive at the position of the energy replenishment planning according to the time taken to travel the corresponding distance at the recommended speed; generate an instruction to initiate a reservation to the corresponding charging pile according to the position of the energy replenishment planning and the time to arrive at the position of the energy replenishment planning, and execute the instruction to initiate a reservation to the corresponding charging pile after determining that there is no conflicting reservation instruction for the charging pile and receiving the instruction to trigger the determination of the charging pile to initiate the reservation on the target vehicle interaction panel from the user; after determining that there is a conflicting reservation instruction for the charging pile or not receiving the instruction to trigger the determination of the charging pile to initiate the reservation on the target vehicle interaction panel from the user, reselect any charging pile position from the positions of the charging piles that are idle in the service area that has not been passed along the current route and is less than the remaining cruising range according to the current vehicle position determined by GPS to update the position of the energy replenishment planning, re-determine the time to arrive at the position of the energy replenishment planning by using the updated position of the energy replenishment planning and generate an instruction to initiate a reservation to the corresponding charging pile, until determining that there is no conflicting reservation instruction for the charging pile and receiving the instruction to trigger the determination of the charging pile to initiate the reservation on the vehicle interaction panel from the user to stop updating the position of the energy replenishment planning, and execute the instruction to initiate a reservation to the corresponding charging pile.

[0061] In a specific embodiment, the vehicle speed recommendation and energy replenishment planning module 105 is also used to collect user facial image data, physiological state data and user voice data in real time; use image recognition technology to analyze user facial image data to identify whether the user is in a fatigue state; monitor physiological state data to identify whether the user is in a health risk state; use voice recognition technology to identify whether the user requires a rest; if it is identified that the current user is in a fatigue state or a health risk state or requires a rest, then reserve a recovery time; calculate the distance from the current vehicle position determined by GPS to the nearest emergency lane, recorded as the first distance, calculate the distance from the current vehicle position determined by GPS to the energy replenishment planning position, recorded as the second distance, compare the first distance with the second distance, if the first distance is less than the second distance, then determine the reserved recovery time and the replenishment time. If there is no intersection in the time required for charging energy, then continue to select from the preliminary recommended vehicle speeds any target vehicle speed whose sum of the corresponding consumed time, the time required to replenish energy and the reserved recovery time still meets the user's requirement for the time to arrive at the destination, instead of selecting from the initial recommended vehicle speeds any target vehicle speed whose sum of the corresponding consumed time and the time required to replenish energy still meets the user's requirement for the time to arrive at the destination; if the first distance is greater than or equal to the second distance, it is determined that there is an intersection in the reserved recovery time and the time required to replenish energy, then continue to select from the preliminary recommended vehicle speeds any target vehicle speed whose sum of the corresponding consumed time and the time required to replenish energy and the reserved recovery time still meets the user's requirement for the time to arrive at the destination, instead of selecting from the initial recommended vehicle speeds any target vehicle speed whose sum of the corresponding consumed time and the time required to replenish energy still meets the user's requirement for the time to arrive at the destination.

[0062] In a specific embodiment, the vehicle speed recommendation and energy replenishment planning module 105 is also used to obtain the user's preference for the energy replenishment planning location, and the user preference includes the minimum energy replenishment cost or the highest service quality of the service area corresponding to the energy replenishment planning location; a charging pile location that meets the user's preference is selected from the locations of idle charging piles in the service area that has not been passed along the current route and is less than the remaining cruising range of the current vehicle position determined by GPS as the energy replenishment planning location.

[0063] In a specific embodiment, the vehicle speed recommendation and energy replenishment planning module 105 determines whether the current time is a holiday. If it is a holiday, based on the usage of charging facilities in service areas that are not passed along the current route and are less than the remaining cruising range from the current vehicle position determined by GPS, any charging pile position is selected from the positions of idle charging piles in the service area with the highest charging pile idle rate as the location for energy replenishment planning.

[0064] The embodiment of the present application also discloses a computer-readable storage medium.

[0065] Specifically, the computer-readable storage medium stores a computer program that can be loaded by a processor and execute the above-mentioned intelligent vehicle speed recommendation and energy replenishment planning method. The computer-readable storage medium includes, for example: 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, and other media that can store program codes.

[0066] The embodiment of the present application also discloses a computer device.

[0067] Specifically, the computer device includes a memory and a processor, and the memory stores a computer program that can be loaded by the processor and execute the above-mentioned intelligent vehicle speed recommendation and energy replenishment planning method.

[0068] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. An intelligent vehicle speed suggestion and energy replenishment planning method, characterized in that: include: Real-time acquisition of target vehicle energy status data, target vehicle driving environment data and routes, and usage of charging facilities in highway service areas; The energy status data includes: remaining power, remaining cruising range, vehicle speed and energy consumption data; the driving environment data includes: weather data, road conditions; the usage of charging facilities in the highway service area includes: location, number and usage status of charging piles; Based on the acquired vehicle speed, energy consumption data, weather conditions and road conditions, the energy consumption data of the target vehicle at different target speeds is predicted, and the expected energy consumption and remaining range at the current route and different target speeds are calculated; Calculate the time it takes to reach the destination along the current route at different target speeds, and keep the target speed that meets the user's requirements for the time it takes to reach the destination, which is recorded as the initial recommended speed; Based on the estimated energy consumption and remaining cruising range corresponding to the initial recommended speed, determine whether the target vehicle needs to be recharged. If no energy replenishment is needed, select the initial recommended speed with the lowest estimated energy consumption as the recommended speed. If energy replenishment is needed, calculate the time required for replenishment based on the remaining power and the estimated energy consumption, and select the target speed from the initial recommended speeds whose sum of the corresponding time consumption and the time required for replenishment still meets the user's arrival time requirement at the destination and whose corresponding target speed has the lowest estimated energy consumption as the recommended speed. Select any idle charging pile position in the service area that is not passed along the current route and whose distance from the current vehicle position determined by GPS is less than the remaining cruising range as the location of the energy replenishment plan.

2. The intelligent vehicle speed suggestion and energy replenishment planning method according to claim 1 is characterized in that: Also includes: Calculate the distance from the current vehicle position determined by GPS to the planned location for energy replenishment, and the time it takes to travel the corresponding distance at the recommended speed to determine the time to arrive at the planned location for energy replenishment; Generate an instruction to initiate a reservation at the corresponding charging pile according to the planned location of the energy replenishment plan and the time to arrive at the planned location of the energy replenishment plan, and execute the instruction to initiate a reservation at the corresponding charging pile after determining that there is no conflicting reservation instruction at the charging pile and receiving the instruction triggered by the user on the target vehicle interaction panel to determine the charging pile to initiate the reservation; After determining that there is a conflicting reservation instruction for the charging pile or the instruction to initiate a reservation for the charging pile triggered by the user on the target vehicle interaction panel is not received, any charging pile position is reselected from the positions of idle charging piles in the service areas that have not been passed along the current route and are less than the remaining cruising range according to the current vehicle position determined by GPS, to update the position of the energy replenishment plan, and the time to arrive at the position of the energy replenishment plan is re-determined using the updated position of the energy replenishment plan and an instruction to initiate a reservation to the corresponding charging pile is generated, until it is determined that there is no conflicting reservation instruction for the charging pile and the instruction to initiate a reservation for the charging pile triggered by the user on the vehicle interaction panel is received, the position of the energy replenishment plan is stopped from being updated, and the instruction to initiate a reservation to the corresponding charging pile is executed.

3. The intelligent vehicle speed suggestion and energy replenishment planning method according to claim 1 is characterized in that: Also includes: Obtaining a user's preference for a planned location for charging, wherein the user's preference includes a minimum charging cost or a service quality of a service area corresponding to the planned location for charging; A charging pile location that meets the user's preference is selected from the locations of idle charging piles in service areas that are not passed along the current route and are less than the remaining cruising range from the current vehicle location determined by GPS, as the location for energy replenishment planning.

4. The intelligent vehicle speed suggestion and energy replenishment planning method according to claim 1 is characterized in that: Also includes: Collect user facial image data, physiological status data and user voice data in real time; Use image recognition technology to analyze the user's facial image data and identify whether the user is in a fatigue state; Monitor physiological status data to identify whether the user is in a state of health risk; Use voice recognition technology to identify whether the user requires a break; If it is identified that the current user is in a fatigued state or has a health risk state or requires a rest, a recovery time is reserved; the distance from the current vehicle position determined by the GPS to the nearest emergency lane is calculated as the first distance, and the distance from the current vehicle position determined by the GPS to the planned location of the energy replenishment is calculated as the second distance, and the first distance is compared with the second distance. If the first distance is less than the second distance, it is determined that there is no intersection between the reserved recovery time and the time required for replenishing the electric energy, and any target speed corresponding to the sum of the consumed time, the time required for replenishing the electric energy and the reserved recovery time is selected from the preliminary recommended speeds, and any target speed corresponding to the sum of the consumed time and the time required for replenishing the electric energy is selected from the initial recommended speeds, and the time required for replenishing the electric energy still meets the time required for the user to arrive at the destination. If the first distance is greater than or equal to the second distance, it is determined that the reserved recovery time overlaps the time required to replenish electric energy, then any target speed whose corresponding sum of the consumed time, the time required to replenish electric energy and the reserved recovery time still meets the user's requirements for the time to arrive at the destination is continued to be selected from the preliminary recommended vehicle speeds, instead of any target speed whose corresponding sum of the consumed time and the time required to replenish electric energy still meets the user's requirements for the time to arrive at the destination.

5. The intelligent vehicle speed suggestion and energy replenishment planning method according to claim 1 is characterized in that: The determining whether the target vehicle needs energy replenishment according to the estimated energy consumption and the remaining cruising range corresponding to the initial recommended vehicle speed includes: Calculate the difference between the vehicle's remaining range and the distance from the current vehicle position to the destination determined by GPS, and determine whether the calculated distance difference is greater than the preset distance. If so, it is determined that no energy replenishment is required; otherwise, it is determined that energy replenishment is required.

6. The intelligent vehicle speed suggestion and energy replenishment planning method according to claim 1 is characterized in that: Also includes: Determine whether the current time is a holiday; if it is a holiday, based on the usage of charging facilities in service areas that are not passed along the current route and are less than the remaining range from the current vehicle position determined by GPS, select any charging pile location from the idle charging piles in the service area with the highest charging pile idle rate as the location for the energy replenishment plan.

7. The intelligent vehicle speed suggestion and energy replenishment planning method according to claim 1 is characterized in that: Also includes: The user is notified by directly displaying the recommended vehicle speed and planned energy replenishment position on the target vehicle's onboard interactive screen or by announcing the recommended vehicle speed and planned energy replenishment position by voice broadcast.

8. An intelligent vehicle speed suggestion and energy replenishment planning system, characterized in that: include: The vehicle driving data collection module is used to obtain the energy status data of the target vehicle, the driving environment data and route of the target vehicle, and the usage of charging facilities in the highway service area in real time; The energy status data includes: remaining power, remaining cruising range, vehicle speed and energy consumption data; the driving environment data includes: weather data, road conditions; the usage of charging facilities in the highway service area includes: location, number and usage status of charging piles; The vehicle driving energy consumption prediction module is used to predict the energy consumption data of the target vehicle at different target speeds based on the acquired vehicle speed, energy consumption data, weather conditions and road conditions, and calculate the expected energy consumption and remaining cruising range at different target speeds; The vehicle initial speed recommendation module is used to calculate the time it takes to reach the destination along the current route at different target speeds, and retain the target speed that meets the user's requirements for the time it takes to reach the destination, which is recorded as the initial recommended speed; The vehicle speed recommendation and energy replenishment planning module is used to determine whether the target vehicle needs energy replenishment based on the estimated energy consumption and remaining cruising range corresponding to the initial recommended speed. If no energy replenishment is needed, the initial recommended speed with the lowest estimated energy consumption is selected as the recommended speed; if energy replenishment is needed, the time required for energy replenishment is calculated based on the remaining power and the estimated energy consumption, and the target speed with the lowest estimated energy consumption and the sum of the corresponding time consumption and the time required for energy replenishment is selected from the initial recommended speeds as the recommended speed, and any charging pile position in the service area that is not passed along the current route and is less than the remaining cruising range from the idle charging pile position of the current vehicle position determined by GPS as the location of the energy replenishment planning.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to any one of claims 1 to 7.

10. A computer device, characterized in that: The computer device comprises a memory, a processor and a program stored and executable on the memory, and the program implements the steps of the method according to any one of claims 1 to 7 when executed by the processor.

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