Driving control method, device and equipment of hybrid electric vehicle at red light intersection

Abstract

The application provides a driving control method, device and equipment of a hybrid electric vehicle at a red-green light intersection, which can be used in the field of hybrid electric vehicles. The method comprises the following steps: acquiring a distance between a target vehicle and a next intersection and a current speed of the target vehicle; obtaining an arrival time of driving to the next intersection based on the distance and the current speed; obtaining a time window of a green light signal based on signal switching information of a traffic signal light of the next intersection; if the arrival time is not in the time window, acquiring a sliding distance of the target vehicle sliding to a stop; obtaining a driving distance based on a difference between the distance and the sliding distance, and obtaining a driving time based on a quotient of the driving distance and the current speed; and if the target vehicle reaches the driving distance or the driving time, controlling the target vehicle to adopt a pure electric driving mode. The method of the application can select a more energy-saving driving mode in advance when it is predicted that the vehicle cannot pass through the red-green light intersection, so as to further improve the energy-saving effect of the vehicle.

Description

Technical Field

[0001] This application relates to the field of hybrid electric vehicles, and more particularly to a method, apparatus, and equipment for driving control of hybrid electric vehicles at traffic light intersections. Background Technology

[0002] In urban traffic, intersections are often equipped with traffic lights to direct traffic. When a vehicle approaches an intersection and the traffic light is red, it must stop and wait.

[0003] Current hybrid vehicles generally incorporate energy recovery systems. These systems use devices such as braking resistors, generators, or motors to convert energy generated during braking or driving into electrical energy, which is then stored in the battery for future use. This energy recovery system improves fuel efficiency, extends battery life, and reduces environmental pollution to some extent. Therefore, when a vehicle needs to slow down and stop at a traffic light, the energy recovery system can recover the energy generated during braking, thus achieving energy conservation and emission reduction to a certain degree.

[0004] However, since users often brake to a stop a short distance before the intersection, the amount of energy recovered during braking is relatively small, resulting in less energy saving for vehicles at traffic light intersections. Summary of the Invention

[0005] This application provides a driving control method, device, and equipment for hybrid electric vehicles at traffic light intersections, in order to further reduce the energy consumption of hybrid electric vehicles at traffic light intersections and improve the energy-saving effect of vehicles.

[0006] According to the first aspect disclosed in this application, a drive control method for a hybrid electric vehicle at a traffic light intersection is provided, comprising:

[0007] Obtain the distance between the target vehicle and the next intersection, as well as its current speed.

[0008] Based on the intersection distance and the current vehicle speed, the arrival time of the target vehicle to the next intersection is obtained;

[0009] Based on the signal switching information of the traffic light at the next intersection, the time window in which the traffic light is in a green light signal is obtained;

[0010] If the arrival time is not within the time window, the sliding distance of the target vehicle to the stop is obtained based on the current vehicle speed.

[0011] The travel distance is obtained based on the difference between the intersection distance and the coasting distance, and the travel time is obtained based on the quotient of the travel distance and the current vehicle speed.

[0012] If the target vehicle reaches the specified driving distance or the specified driving time, then the target vehicle is controlled to drive in pure electric mode.

[0013] In one feasible implementation, obtaining the intersection distance between the target vehicle and the next intersection includes:

[0014] Obtain navigation information of the target vehicle, wherein the navigation information includes the vehicle's location and driving route;

[0015] Based on the navigation information, determine the location of the next intersection on the driving route;

[0016] The intersection distance is obtained based on the distance between the vehicle location and the intersection location.

[0017] In one feasible implementation, obtaining the time window when the traffic light is in a green light signal based on the signal switching information of the traffic light at the next intersection includes:

[0018] Obtain the signal switching information of the traffic light, wherein the signal switching information includes the signal switching frequency and the signal switching time;

[0019] The signal switching information is used as a training set for machine learning training to obtain a signal prediction model.

[0020] Based on the signal prediction model, the time window in which the traffic light is in a green light signal is obtained.

[0021] In one feasible implementation, controlling the target vehicle to operate in a pure electric drive mode includes:

[0022] If the target vehicle uses a hybrid drive mode, then control the target vehicle to switch to a pure electric drive mode;

[0023] If the target vehicle is in pure electric drive mode, then control the target vehicle to maintain pure electric drive mode.

[0024] In one feasible implementation, the method further includes:

[0025] If the arrival time is not within the time window and the target vehicle has enabled the predictive energy management function, then the first traffic information of the intersection journey between the target vehicle and the next intersection is obtained, wherein the intersection journey is divided into a driving phase, a deceleration phase and a stopping phase based on the driving distance and coasting distance.

[0026] Based on the navigation information of the target vehicle's remaining journey after the next intersection, second traffic information is obtained;

[0027] Combining the first traffic information and the second traffic information, the engine inefficiency range and engine efficiency range for the remaining journey are updated based on the predictive energy management function;

[0028] The predictive energy management function includes: predicting the engine inefficiency range and engine efficiency range of the target vehicle in the remaining journey, and controlling the target vehicle to drive in pure electric mode in the engine inefficiency range and in hybrid drive mode in the engine efficiency range.

[0029] In one feasible implementation, the method further includes:

[0030] If the target vehicle has passed the next intersection, then navigation information of the remaining journey of the target vehicle is obtained based on a preset period to obtain third traffic information;

[0031] Based on the third traffic information, the engine inefficiency range and engine efficiency range for the remaining journey are updated using the predictive energy management function.

[0032] In one feasible implementation, the method further includes:

[0033] If the target vehicle meets any of the following conditions, it is determined that the target vehicle has passed the next intersection. The conditions include: the target vehicle's position is on the driving route after the next intersection, and the target vehicle's speed exceeds a preset threshold for a duration exceeding a preset duration.

[0034] In one feasible implementation, the method further includes:

[0035] Based on the navigation information of the target vehicle, determine whether the road conditions between the target vehicle and the next intersection are clear;

[0036] If the road conditions between the target vehicle and the next intersection are clear, then the steps of obtaining the intersection distance and current speed between the target vehicle and the next intersection are executed.

[0037] According to a second aspect disclosed in this application, a drive control device for a hybrid vehicle at a traffic light intersection is provided, comprising:

[0038] The information acquisition module is used to obtain the distance between the target vehicle and the next intersection and the current vehicle speed;

[0039] The arrival time acquisition module is used to obtain the arrival time of the target vehicle to the next intersection based on the intersection distance and the current vehicle speed;

[0040] The green light time acquisition module is used to obtain the time window when the traffic light is in the green light signal based on the signal switching information of the traffic light at the next intersection.

[0041] The coasting distance acquisition module is used to obtain the coasting distance of the target vehicle to a stop based on the current vehicle speed if the arrival time is not within the time window.

[0042] The driving information acquisition module is used to obtain the driving distance based on the difference between the intersection distance and the coasting distance, and to obtain the driving time based on the quotient of the driving distance and the current vehicle speed;

[0043] The drive control module is used to control the target vehicle to drive in pure electric drive mode if the target vehicle reaches the driving distance or the driving time.

[0044] According to a third aspect disclosed in this application, an electronic device is provided, including a processor and a memory communicatively connected to the processor;

[0045] The memory stores computer-executed instructions;

[0046] The processor executes computer execution instructions stored in the memory to implement the method described in any one of the first aspects.

[0047] According to a fourth aspect disclosed in this application, a computer-readable storage medium is provided, wherein computer-executable instructions are stored therein, which, when executed by a processor, are used to implement the method described in any one of the first aspects.

[0048] According to the fifth aspect disclosed in this application, a computer program product is provided, comprising a computer program that, when executed by a processor, is used to implement the method described in any one of the first aspects.

[0049] Compared with the prior art, this application has the following beneficial effects:

[0050] This application provides a method, device, and equipment for driving a hybrid vehicle at a traffic light intersection. By using the signal switching information of the traffic lights at the intersection, it predicts the time window when the traffic light is green and determines whether the target vehicle has the conditions to pass through the intersection. If it is determined that the target vehicle cannot pass through the intersection, it controls the target vehicle to use pure electric drive mode before the intersection. Since pure electric drive mode is more energy-efficient than hybrid drive mode under low-speed or parking conditions, driving the vehicle in pure electric drive mode to the intersection and stopping can further improve the vehicle's energy-saving effect, achieving the goal of energy conservation and emission reduction. Attached Figure Description

[0051] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without inventive effort. Wherein:

[0052] Figure 1 A schematic flowchart illustrating a drive control method for a hybrid electric vehicle at a traffic light intersection, provided in an embodiment of this application;

[0053] Figure 2 A flowchart illustrating another drive control method for a hybrid electric vehicle at a traffic light intersection, provided in this application embodiment.

[0054] Figure 3 A schematic diagram of the structure of a drive control device for a hybrid electric vehicle at a traffic light intersection, provided as an embodiment of this application;

[0055] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0056] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0057] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0058] In urban traffic, intersections are often equipped with traffic lights to direct traffic. When a vehicle approaches an intersection and the traffic light is red, it must stop and wait. When a vehicle slows down and stops at a red light at an intersection, existing hybrid vehicles generally recover the energy generated during braking through the vehicle's energy recovery function, achieving energy conservation and emission reduction to some extent. However, because users often brake to a stop only a short distance before the intersection, the braking time and distance are short, resulting in less energy recovery and the energy-saving effect at traffic light intersections is not ideal.

[0059] To address the aforementioned issues, this application proposes a drive control method for hybrid electric vehicles at traffic light intersections. If it is determined that the target vehicle cannot pass through the traffic light intersection, the method controls the target vehicle to drive in pure electric mode to the traffic light intersection and stop when the conditions are met, thereby achieving the goal of energy conservation and emission reduction.

[0060] The technical solution of the hybrid vehicle drive control method at traffic light intersections provided in this application will be described in detail below through specific embodiments. It should be noted that the following embodiments may exist independently or in combination with each other; for the same or similar content, descriptions may not be repeated in different embodiments.

[0061] It should be noted that the execution subject of the hybrid vehicle drive control method at traffic light intersections provided in this application embodiment can be a vehicle system or a cloud server. When the execution subject is a cloud server, the cloud server and the target vehicle communicate and connect through vehicle networking or other means.

[0062] Compared to in-vehicle infotainment systems, cloud servers possess superior computing and data processing capabilities. Therefore, using cloud servers as the execution source results in faster execution speeds, lower hardware requirements for the vehicle, and no additional cost to the vehicle.

[0063] The cloud server may store data related to multiple vehicles, and the VIN (Vehicle Identification Number) can be used as an identification index to store the data of the corresponding vehicle.

[0064] Figure 1 This application provides a schematic flowchart of a drive control method for a hybrid electric vehicle at a traffic light intersection, as illustrated in the embodiments of this application. Figure 1 In some embodiments, the drive control method for this hybrid vehicle at traffic light intersections includes the following steps:

[0065] S101, obtain the intersection distance and current speed of the target vehicle between the target vehicle and the next intersection.

[0066] First, it is necessary to obtain the intersection distance and current speed between the target vehicle and the next intersection, which will be used to calculate the arrival time of the target vehicle to the next intersection.

[0067] Preferably, obtaining the intersection distance between the target vehicle and the next intersection includes: obtaining navigation information of the target vehicle, wherein the navigation information includes the vehicle position and driving route; determining the intersection position of the next intersection on the driving route based on the navigation information; and obtaining the intersection distance based on the distance between the vehicle position and the intersection position.

[0068] The distance between the target vehicle and the next intersection can be obtained through navigation information. First, the target vehicle's driving route and position are obtained based on the navigation information. By combining the driving route, vehicle position, and vehicle direction, the position of the next intersection to which the target vehicle will travel can be determined. Finally, the distance between the target vehicle and the next intersection is determined by the intersection position and vehicle position.

[0069] S102, based on the distance to the intersection and the current vehicle speed, obtains the arrival time of the target vehicle to the next intersection.

[0070] We know that distance equals the product of speed and time. Therefore, based on the relationship between distance, speed and time, we can calculate the arrival time of the target vehicle to the next intersection by dividing the distance to the intersection by the current speed.

[0071] S103, based on the signal switching information of the traffic lights at the next intersection, obtains the time window when the traffic lights are in green.

[0072] Among them, the signal switching information of traffic lights can obtain the time window when traffic lights are in green without the support of road hardware equipment, which has the advantages of low cost and wide application scenarios.

[0073] Preferably, obtaining the time window when the traffic light is in a green light signal based on the signal switching information of the traffic light at the next intersection includes: obtaining the signal switching information of the traffic light, wherein the signal switching information includes the signal switching frequency and the signal switching time; using the signal switching information as a training set for machine learning training to obtain a signal prediction model; and obtaining the time window when the traffic light is in a green light signal based on the signal prediction model.

[0074] Specifically, by collecting the signal switching frequency and time of traffic lights as a training set, a machine learning model is trained to obtain a signal prediction model that outputs the time window when the traffic light is in a green light state. Machine learning includes deep learning, artificial neural networks, and more.

[0075] By collecting relevant data from traffic lights, a signal prediction model trained on big data can be obtained. This model can then be used to predict traffic light signals without relying on hardware such as V2X (Vehicle-to-Everything) and onboard radar. This significantly reduces hardware costs and expands the scope and scenarios of applications.

[0076] Specifically, the signal prediction model can be deployed in the cloud and communicate with the target vehicle. Furthermore, iterative updates to the model can be made using real-time traffic light data to continuously improve its accuracy.

[0077] Specifically, by collecting signal switching information from different traffic lights, it is possible to predict the time windows during which different traffic lights are in a green light state. This signal switching information can be collected manually, via vehicle-mounted cameras, or by obtaining parameters from the traffic light equipment.

[0078] S104 If the arrival time is not within the time window, the coasting distance of the target vehicle to the stop is obtained based on the current vehicle speed.

[0079] If the target vehicle arrives at the next intersection outside the designated time window, it means the traffic light will be red when the target vehicle arrives. In this case, the target vehicle cannot pass through the intersection and must stop and wait. The coasting distance can then be calculated based on the current speed. Specifically, the coasting distance is the maximum distance the target vehicle can travel to a stop without braking.

[0080] S105 calculates the travel distance based on the difference between the intersection distance and the coasting distance, and calculates the travel time based on the quotient of the travel distance and the current vehicle speed.

[0081] The difference between the distance from the target vehicle to the next intersection and the coasting distance of the target vehicle to a stop indicates the remaining distance the target vehicle can maintain its current driving state. The target vehicle travels normally for this distance, and once it reaches that distance, it enters a deceleration phase. The user then slows down and stops before the traffic light intersection, depending on driving conditions.

[0082] We know that distance is equal to the product of speed and time. Therefore, based on the relationship between distance, speed and time, we can obtain the remaining travel time of the target vehicle by considering the travel distance and the current speed.

[0083] S106, if the target vehicle reaches the driving distance or the driving time, control the target vehicle to drive in pure electric drive mode.

[0084] The system uses both travel distance and travel time as criteria; whichever condition is met first triggers the control of the target vehicle to switch to pure electric drive mode. This prevents the target vehicle from exceeding the travel distance and allows sufficient space for subsequent deceleration and stopping. Once the target vehicle has reached the required travel distance or time, it switches to pure electric drive mode, at which point it enters a deceleration phase. After stopping, the target vehicle enters a stopping phase to wait for the traffic light to turn green.

[0085] The target vehicle then begins to decelerate along its coasting distance until it comes to a stop. During the deceleration phase, the vehicle's speed continuously decreases due to reduced power output. In deceleration, low-speed driving, and even when stationary, the target vehicle is more energy-efficient in pure electric drive mode than in hybrid drive mode. Therefore, using pure electric drive mode is more energy-efficient during deceleration and stopping, further reducing vehicle energy consumption. Simultaneously, during deceleration, the energy recovery system can also recover energy generated during the vehicle's braking.

[0086] Compared to the current energy-saving method of hybrid vehicles that relies solely on energy recovery at traffic light intersections, this step, by selecting the drive mode and combining pure electric drive mode with energy recovery function, can further improve the vehicle's energy-saving effect when the target vehicle cannot pass through the traffic light intersection.

[0087] In this embodiment, the time window when the traffic light is green is predicted based on the signal switching information at the traffic light intersection, and this is used to determine whether the target vehicle has the conditions to pass through the intersection. If it is determined that the target vehicle cannot pass through the intersection, the vehicle is controlled to drive in pure electric mode before the intersection, causing the vehicle to decelerate and stop at the intersection in pure electric mode. By combining drive mode selection with energy recovery, the vehicle's energy-saving effect is further improved, achieving the goal of energy conservation and emission reduction.

[0088] exist Figure 1 Based on the embodiments shown, the following is combined with Figure 2 This paper further introduces the technical solution of the drive control method for the above-mentioned hybrid electric vehicles at traffic light intersections.

[0089] Figure 2 A flowchart illustrating another drive control method for a hybrid electric vehicle at a traffic light intersection, as provided in this application embodiment, is shown below. Figure 2 In some embodiments, the drive control method for this hybrid vehicle at traffic light intersections includes the following steps:

[0090] S201, based on the navigation information of the target vehicle, determines whether the road conditions between the target vehicle and the next intersection are clear.

[0091] The system uses smooth traffic flow as a prerequisite for implementing traffic light control. Only when traffic is smooth will the system initiate the process of controlling the target vehicle to coast to a stop in pure electric mode before the intersection when the traffic light is not green and the vehicle needs to stop. This is because if traffic is congested, it indicates that the target vehicle will be stuck at the next intersection. Due to the uncertainty of traffic congestion, it's impossible to accurately predict the target vehicle's arrival time at the next intersection based on the distance between the target vehicle and the next intersection and its current speed, thus making it impossible to predict whether the target vehicle will be able to pass through the traffic light intersection.

[0092] S202, if the road conditions between the target vehicle and the next intersection are clear, then execute the steps to obtain the intersection distance and current speed between the target vehicle and the next intersection.

[0093] If the road conditions between the target vehicle and the next intersection are clear, the travel time of the target vehicle to the next intersection can be predicted by the distance to the intersection and the current vehicle speed, and then the step of obtaining relevant information can be performed.

[0094] S203, based on the distance to the intersection and the current vehicle speed, obtains the arrival time of the target vehicle to the next intersection.

[0095] S204, based on the signal switching information of the traffic lights at the next intersection, obtains the time window when the traffic lights are in a green light state.

[0096] S205 If the arrival time is not within the time window, the coasting distance of the target vehicle to the stop is obtained based on the current vehicle speed.

[0097] S206 calculates the travel distance based on the difference between the intersection distance and the coasting distance, and calculates the travel time based on the quotient of the travel distance and the current vehicle speed.

[0098] It should be noted that the execution process of steps S202 to S206 is the same as that of steps S101 to S105, and will not be described again here.

[0099] S207 If the target vehicle reaches the driving distance or the driving time, determine whether the target vehicle is in pure electric drive mode.

[0100] S208: If the target vehicle uses a hybrid drive mode, control the target vehicle to switch to a pure electric drive mode.

[0101] If the target vehicle uses a hybrid drive mode, it is powered by the engine. In this case, the vehicle needs to be switched to pure electric drive mode first. This is because when the target vehicle cannot pass through a traffic light intersection, its journey is divided into three phases: the driving phase, the deceleration phase, and the stopping phase. During the driving phase, the target vehicle moves normally, and pure electric drive mode is not necessarily more energy-efficient than hybrid drive mode. However, during the deceleration and stopping phases, the target vehicle's speed decreases or even stops, and the engine is at low speed or idling. In this case, hybrid drive mode consumes more energy than pure electric drive mode. Therefore, if the target vehicle uses a hybrid drive mode, it should be switched to pure electric drive mode when the target vehicle has reached the required driving distance or time.

[0102] Specifically, after switching to pure electric drive mode, the vehicle control systems such as the infotainment system, braking system, and steering system will still be powered and function normally. The vehicle will retain a certain driving potential, and when the vehicle decelerates or stops, the vehicle's direction can still be controlled to deal with special situations such as avoiding pedestrians.

[0103] S209, if the target vehicle is in pure electric drive mode, then control the target vehicle to maintain pure electric drive mode.

[0104] If the target vehicle is in pure electric drive mode, the system will continue to maintain the pure electric drive mode while ensuring the normal operation of the vehicle control system, such as the vehicle infotainment system, and leaving a certain driving potential for the target vehicle to cope with special situations.

[0105] S210 If the arrival time is not within the time window and the target vehicle has enabled the predictive energy management function, then obtain the first traffic information of the intersection journey between the target vehicle and the next intersection. The intersection journey is divided into the driving stage, the deceleration stage and the stopping stage according to the driving distance and the coasting distance.

[0106] Among them, predictive energy management function refers to a predictive energy management function equipped on existing hybrid vehicles. It can collect traffic information on the route based on navigation information, and use predictive energy management technology and algorithms to predict the engine's high-efficiency range and low-efficiency range throughout the entire journey. By switching the driving mode, the vehicle is controlled to adopt a hybrid driving mode in the engine high-efficiency range and the engine is pre-charged. In the engine low-efficiency range, the vehicle adopts a pure electric driving mode using the pre-prepared battery power to improve the overall fuel efficiency of the entire journey and achieve the purpose of energy saving and emission reduction.

[0107] When the arrival time of the target vehicle at the next intersection is outside the green light signal window of the traffic light, it means that the target vehicle will not be able to pass through the intersection and needs to stop and wait. At this time, the journey between the target vehicle and the next intersection will be divided into three stages: the driving stage, the deceleration stage, and the stopping stage.

[0108] However, existing energy management functions only incorporate traffic light durations into the average speed calculation for the entire journey at traffic light intersections, without considering whether the vehicle can pass through the intersection. In this embodiment, the first traffic information more accurately reflects changes in traffic information during the intersection journey, providing more refined traffic data. Therefore, using traffic information from the three stages of the intersection journey to update the predictive energy management function can more accurately reflect the target vehicle's energy consumption, optimize the predictive energy management function, and output more accurate prediction results.

[0109] Specifically, traffic information mainly includes vehicle speed information, road information, road condition information, distance information, traffic light information, slope information, speed limit information, environmental information, and other information that can reflect traffic conditions.

[0110] S211, based on the navigation information of the target vehicle's remaining journey after the next intersection, obtain the second traffic information.

[0111] Among these features, by obtaining navigation information for the remaining journey, traffic information for the remaining journey can be obtained, which can be used to update the predictive energy management function.

[0112] S212, combining the first traffic information and the second traffic information, updates the engine inefficient range and engine efficient range for the remaining journey based on the predictive energy management function.

[0113] In the predictive energy management function, traditional prediction methods do not take into account situations where vehicles stop and wait at traffic light intersections. In this step, the journey between the target vehicle and the next intersection is divided into three more precise driving stages to obtain more accurate traffic information. With more accurate vehicle speed information, the predictive energy management function can predict control targets with better energy-saving potential and obtain more accurate engine inefficiency and engine efficiency ranges.

[0114] For example, regarding vehicle speed information in traffic data, this step divides the intersection journey into three stages: the driving stage, the deceleration stage, and the stopping stage. For the driving stage, the average vehicle speed is combined with the travel time to obtain the speed change curve, which serves as the speed information for that stage. For the deceleration stage, the speed change curve is obtained as the speed decreases to zero through interpolation, serving as the speed information for that stage. For the stopping stage, the stopping time is first obtained using a time window and arrival time, and then the speed change curve is obtained as the speed information for that stage. Compared to the existing method of simply incorporating traffic light times into the total distance to calculate the average speed, this method provides more accurate speed information for predicting the output of energy management functions.

[0115] The predictive energy management function includes: predicting the engine inefficiency range and engine efficiency range of the target vehicle in the remaining journey, and controlling the target vehicle to drive in pure electric mode in the engine inefficiency range and in hybrid drive mode in the engine efficiency range.

[0116] S213, if the target vehicle has passed the next intersection, then obtain the navigation information of the remaining journey of the target vehicle based on a preset period to obtain third traffic information.

[0117] After passing the next intersection, navigation information for the remaining journey can be obtained periodically, and traffic information for the remaining journey can be obtained through navigation information to update the predictive energy management function.

[0118] Preferably, if the target vehicle meets any of the following conditions, it is determined that the target vehicle has passed the next intersection: the target vehicle's position is on the driving route after the next intersection, or the target vehicle's speed exceeds a preset threshold and the duration exceeds a preset duration.

[0119] The navigation information can be used to obtain the vehicle's location. If the vehicle is on the driving route after the next intersection, it means that the vehicle has left the intersection. If the target vehicle's speed exceeds the preset threshold and the duration exceeds the preset duration, it means that the target vehicle is driving normally and has not stopped or waited, which also reflects that the vehicle has left the intersection.

[0120] S214, based on third traffic information, update the engine inefficiency range and engine efficiency range for the remaining journey using predictive energy management function.

[0121] After passing the next intersection, the predictive energy management function can periodically acquire navigation information for the remaining journey and, based on this navigation information, obtain traffic information for the remaining journey, thus periodically updating the predictive energy management function. By continuously updating the traffic information for the remaining journey, the predictive energy management system can accurately determine the engine's inefficient and efficient ranges.

[0122] In this embodiment, by dividing the intersection journey from the target vehicle to the next intersection into three stages—driving stage, deceleration stage, and stopping stage—and using the traffic information from these three stages to update the predictive energy management function, the predictive energy management function can be optimized, resulting in a more accurate energy optimization scheme.

[0123] Figure 3 This is a schematic diagram of the drive control device for a hybrid vehicle at a traffic light intersection, as provided in an embodiment of this application. (See attached diagram.) Figure 3 The drive control device for the hybrid vehicle at traffic light intersections includes various functional modules for implementing the aforementioned drive control method for the hybrid vehicle at traffic light intersections. Any functional module can be implemented by software and / or hardware.

[0124] In some embodiments, the drive control device 300 of a hybrid vehicle at a traffic light intersection includes an information acquisition module 301, an arrival time acquisition module 302, a green light time acquisition module 303, a coasting distance acquisition module 304, a driving information acquisition module 305, and a drive control module 306. Wherein:

[0125] The information acquisition module 301 is used to acquire the intersection distance between the target vehicle and the next intersection and the current vehicle speed;

[0126] The arrival time acquisition module 302 is used to obtain the arrival time of the target vehicle to the next intersection based on the intersection distance and the current vehicle speed;

[0127] The green light time acquisition module 303 is used to obtain the time window when the traffic light is in green light signal based on the signal switching information of the traffic light at the next intersection.

[0128] The coasting distance acquisition module 304 is used to obtain the coasting distance of the target vehicle to the stop based on the current vehicle speed if the arrival time is not within the time window.

[0129] The driving information acquisition module 305 is used to obtain the driving distance based on the difference between the intersection distance and the coasting distance, and to obtain the driving time based on the quotient of the driving distance and the current vehicle speed;

[0130] The drive control module 306 is used to control the target vehicle to adopt a pure electric drive mode if the target vehicle reaches the driving distance or the driving time.

[0131] In some embodiments, the information acquisition module 301 is specifically used for:

[0132] Obtain navigation information for the target vehicle, including the vehicle's location and driving route;

[0133] Based on navigation information, determine the location of the next intersection on the driving route;

[0134] The intersection distance is obtained based on the distance between the vehicle's location and the intersection's location.

[0135] In some embodiments, the green light time acquisition module 303 is specifically used for:

[0136] Obtain traffic light signal switching information, including signal switching frequency and signal switching time;

[0137] The signal switching information is used as a training set for machine learning training to obtain a signal prediction model.

[0138] Based on the signal prediction model, the time window when the traffic light is in the green light state is obtained.

[0139] In some embodiments, the drive control module 306 is specifically used for:

[0140] If the target vehicle uses a hybrid drive mode, then control the target vehicle to switch to a pure electric drive mode;

[0141] If the target vehicle is in pure electric drive mode, then control the target vehicle to maintain pure electric drive mode.

[0142] In some embodiments, the drive control module 306 is specifically used for:

[0143] If the arrival time is outside the time window and the target vehicle has enabled the predictive energy management function, the first traffic information of the intersection journey between the target vehicle and the next intersection is obtained. The intersection journey is divided into the driving stage, the deceleration stage and the stopping stage according to the driving distance and the coasting distance.

[0144] Based on the navigation information of the target vehicle's remaining journey after the next intersection, second traffic information is obtained;

[0145] Combining primary and secondary traffic information, the engine inefficiency and high efficiency ranges for the remaining journey are updated based on the predictive energy management function;

[0146] The predictive energy management function includes: predicting the engine inefficiency range and engine efficiency range of the target vehicle in the remaining journey, and controlling the target vehicle to drive in pure electric mode in the engine inefficiency range and in hybrid drive mode in the engine efficiency range.

[0147] In some embodiments, the drive control module 306 is specifically used for:

[0148] If the target vehicle has already passed the next intersection, navigation information for the remaining journey of the target vehicle is obtained based on a preset period to obtain third-party traffic information;

[0149] Based on third-party traffic information, the engine inefficiency range and engine efficiency range for the remaining journey are updated using predictive energy management functions.

[0150] In some embodiments, the drive control module 306 is specifically used for:

[0151] If the target vehicle meets any of the following conditions, it is determined that the target vehicle has passed the next intersection. The conditions include:

[0152] The target vehicle is located on the route after the next intersection, the target vehicle is within the time window, and the target vehicle's speed exceeds the preset threshold and the duration exceeds the preset duration.

[0153] In some embodiments, the information acquisition module 301 is specifically used for:

[0154] Based on the target vehicle's navigation information, determine whether the road conditions between the target vehicle and the next intersection are clear;

[0155] If the road conditions between the target vehicle and the next intersection are clear, then proceed with the steps of obtaining the intersection distance and current speed between the target vehicle and the next intersection.

[0156] The hybrid vehicle drive control device 300 at traffic light intersections provided in this application embodiment is used to execute the technical solution provided in the aforementioned hybrid vehicle drive control method embodiment at traffic light intersections. Its implementation principle and technical effects are similar to those in the aforementioned method embodiments, and will not be repeated here.

[0157] It should be noted that the division of the various modules in the above device is merely a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, these modules can be implemented entirely in software via processing elements, entirely in hardware, or partially in software via processing elements and partially in hardware. For example, the drive control module can be a separate processing element, or it can be integrated into a chip within the device. Alternatively, it can be stored as program code in the device's memory, invoked and executed by a processing element. The implementation of other modules is similar. Moreover, these modules can be fully or partially integrated together, or implemented independently. The processing element here can be an integrated circuit with signal processing capabilities. During implementation, each step of the above method or each of the above modules can be completed through integrated logic circuits in the processor element or through software instructions.

[0158] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. (See attached diagram.) Figure 4 The electronic device 400 includes: a processor 401, and a memory 402 communicatively connected to the processor 401;

[0159] Memory 402 stores instructions executed by the computer;

[0160] The processor 401 executes computer execution instructions stored in the memory 402 to implement the aforementioned technical solution of the drive control method for hybrid vehicles at traffic light intersections.

[0161] In the aforementioned electronic device 400, the memory 402 and the processor 401 are electrically connected directly or indirectly to achieve data transmission or interaction. For example, these components can be electrically connected to each other through one or more communication buses or signal lines, such as bus connections. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be classified as address buses, data buses, control buses, etc., but this does not mean that there is only one bus or one type of bus. The memory 402 stores computer execution instructions for implementing the aforementioned hybrid vehicle drive control method at traffic light intersections, including at least one software functional module that can be stored in the memory 402 in the form of software or firmware. The processor 401 executes various functional applications and data processing by running the software programs and modules stored in the memory 402.

[0162] The memory 402 includes at least one type of readable storage medium, not limited to Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), etc. The memory 402 stores programs, which are executed by the processor 401 upon receiving execution instructions. Furthermore, the software programs and modules within the memory 402 may also include an operating system, which may include various software components and / or drivers for managing system tasks (e.g., memory management, storage device control, power management, etc.) and can communicate with various hardware or software components to provide an operating environment for other software components.

[0163] Processor 401 can be an integrated circuit chip with signal processing capabilities. The aforementioned processor 401 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor, or processor 401 can be any conventional processor.

[0164] The electronic device 400 is used to execute the technical solution provided in the aforementioned embodiment of the drive control method for hybrid vehicles at traffic light intersections. Its implementation principle and technical effects are similar to those in the aforementioned method embodiment, and will not be repeated here.

[0165] This application also provides a computer-readable storage medium storing computer-executable instructions. When a processor executes the computer-executable instructions, it implements the aforementioned technical solution of the drive control method for hybrid vehicles at traffic light intersections.

[0166] The aforementioned computer-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The computer-readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0167] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the drive control unit of a hybrid vehicle at a traffic light intersection.

[0168] This application also provides a computer program product, including a computer program, which, when executed by a processor, is used to implement the aforementioned technical solution of the drive control method for hybrid vehicles at traffic light intersections.

[0169] In the above embodiments, those skilled in the art will understand that the above method embodiments can be implemented entirely or partially by software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented entirely or partially in the form of a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of the present invention is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless network, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives (SSDs)).

[0170] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0171] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A drive control method for a hybrid electric vehicle at a traffic light intersection, characterized in that, include: Obtain the distance between the target vehicle and the next intersection, as well as its current speed. Based on the intersection distance and the current vehicle speed, the arrival time of the target vehicle to the next intersection is obtained; Based on the signal switching information of the traffic light at the next intersection, the time window in which the traffic light is in a green light signal is obtained; If the arrival time is not within the time window, the sliding distance of the target vehicle to the stop is obtained based on the current vehicle speed. The travel distance is obtained based on the difference between the intersection distance and the coasting distance, and the travel time is obtained based on the quotient of the travel distance and the current vehicle speed. If the target vehicle reaches the specified driving distance or the specified driving time, then the target vehicle is controlled to drive in pure electric mode. The method further includes: If the arrival time is not within the time window and the target vehicle has enabled the predictive energy management function, then the first traffic information of the intersection journey between the target vehicle and the next intersection is obtained, wherein the intersection journey is divided into a driving phase, a deceleration phase and a stopping phase according to the driving distance and the coasting distance; Based on the navigation information of the target vehicle's remaining journey after the next intersection, second traffic information is obtained; Combining the first traffic information and the second traffic information, the engine inefficiency range and engine efficiency range for the remaining journey are updated based on the predictive energy management function; The predictive energy management function includes: predicting the engine inefficiency range and engine efficiency range of the target vehicle in the remaining journey, and controlling the target vehicle to drive in pure electric mode in the engine inefficiency range and in hybrid drive mode in the engine efficiency range.

2. The method according to claim 1, characterized in that, The step of obtaining the intersection distance between the target vehicle and the next intersection includes: Obtain navigation information of the target vehicle, wherein the navigation information includes the vehicle's location and driving route; Based on the navigation information, determine the location of the next intersection on the driving route; The intersection distance is obtained based on the distance between the vehicle location and the intersection location.

3. The method according to claim 1, characterized in that, The method of obtaining the time window in which the traffic light is in a green light state based on the signal switching information of the traffic light at the next intersection includes: Obtain the signal switching information of the traffic light, wherein the signal switching information includes the signal switching frequency and the signal switching time; The signal switching information is used as a training set for machine learning training to obtain a signal prediction model. Based on the signal prediction model, the time window in which the traffic light is in a green light signal is obtained.

4. The method according to claim 1, characterized in that, Controlling the target vehicle to operate in pure electric drive mode includes: If the target vehicle uses a hybrid drive mode, then control the target vehicle to switch to a pure electric drive mode; If the target vehicle is in pure electric drive mode, then control the target vehicle to maintain pure electric drive mode.

5. The method according to claim 1, characterized in that, The method further includes: If the target vehicle has passed the next intersection, navigation information of the remaining journey of the target vehicle is obtained based on a preset period to obtain third traffic information; Based on the third traffic information, the engine inefficiency range and engine efficiency range for the remaining journey are updated using the predictive energy management function.

6. The method according to claim 5, characterized in that, The method further includes: If the target vehicle meets any of the following conditions, it is determined that the target vehicle has passed the next intersection. The conditions include: the target vehicle's position is on the driving route after the next intersection, or the target vehicle's speed exceeds a preset threshold and the duration exceeds a preset duration.

7. The method according to any one of claims 1-4, characterized in that, The method further includes: Based on the navigation information of the target vehicle, determine whether the road conditions between the target vehicle and the next intersection are clear; If the road conditions between the target vehicle and the next intersection are clear, then the steps of obtaining the intersection distance and current speed between the target vehicle and the next intersection are executed.

8. A drive control device for a hybrid electric vehicle at a traffic light intersection, characterized in that, include: The information acquisition module is used to obtain the distance between the target vehicle and the next intersection and the current vehicle speed; The arrival time acquisition module is used to obtain the arrival time of the target vehicle to the next intersection based on the intersection distance and the current vehicle speed; The green light time acquisition module is used to obtain the time window when the traffic light is in the green light signal based on the signal switching information of the traffic light at the next intersection. The coasting distance acquisition module is used to obtain the coasting distance of the target vehicle to a stop based on the current vehicle speed if the arrival time is not within the time window. The driving information acquisition module is used to obtain the driving distance based on the difference between the intersection distance and the coasting distance, and to obtain the driving time based on the quotient of the driving distance and the current vehicle speed; The drive control module is used to control the target vehicle to drive in pure electric drive mode if the target vehicle reaches the driving distance or the driving time. The drive control module is specifically used to obtain the first traffic information of the intersection journey between the target vehicle and the next intersection if the arrival time is not within the time window and the target vehicle has enabled the predictive energy management function. The intersection journey is divided into the driving stage, the deceleration stage and the stopping stage according to the driving distance and the coasting distance. Based on the navigation information of the target vehicle's remaining journey after the next intersection, second traffic information is obtained; Combining primary and secondary traffic information, the engine inefficiency and high efficiency ranges for the remaining journey are updated based on the predictive energy management function; The predictive energy management function includes: predicting the engine inefficiency range and engine efficiency range of the target vehicle in the remaining journey, and controlling the target vehicle to drive in pure electric mode in the engine inefficiency range and in hybrid drive mode in the engine efficiency range.

9. An electronic device, characterized in that, Includes a processor and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1 to 7.

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