Intelligent energy management chassis control method, system and equipment

Abstract

The invention provides an intelligent energy management chassis control method, system and device. The method comprises the steps of obtaining dynamic map updating information; based on the dynamic map updating information, intelligent driving map data information is generated; based on different user switch state information, an intelligent driving energy intelligent mode, an intelligent energy auxiliary mode or a manual driving mode is entered; and based on different intelligent driving modes and the intelligent driving map data information, controlling an associated system of a vehicle chassis. According to the invention, the problem of poor reliability of an intelligent driving system caused by insufficient processing capability and low energy utilization rate for complex traffic scenes in the prior art is solved. Real-time updating of complex road condition scenes is achieved, the vehicle chassis information is controlled to run in the optimal energy distribution mode, and the reliability of an intelligent driving system is improved.

Description

Technical Field

[0001] The present invention relates to a field, and in particular to an intelligent energy management chassis control method, system and device. Background Art

[0002] Based on inheriting the basic requirements of 5G-Uu, 5G-Redcap information presents broadcast-like characteristics. It contains key information such as road traffic participants, traffic light status and the location of vulnerable groups. This information is crucial for the dynamic update of intelligent driving maps.

[0003] At present, traditional intelligent driving technology relies on various sensors, such as radar, LiDAR and cameras, to perceive the surrounding environment in path planning. However, it is unable to accurately perceive and respond to all situations under severe weather conditions or in complex traffic environments such as intersections, pedestrian crossings or bicycle lanes. In addition, the random sampling operation logic adopted by the existing technology may make each expansion search have a certain degree of blindness, and it is easy to fall into the local optimal solution. In terms of energy management, the existing technology relies on the advance acquisition and analysis of road information, such as GPS, map data and possible sensor information. In the case of complex road conditions and frequent acceleration and deceleration, the energy management strategy of the intelligent driving system may not be optimal, and the energy management algorithm is also relatively limited. Therefore, the reliability of the intelligent driving system is poor. Summary of the invention

[0004] In order to solve the above problems, the present invention proposes an intelligent energy management chassis control method, system and equipment to achieve real-time update of complex road conditions, control the vehicle chassis information to drive in an optimal energy distribution manner, and improve the reliability of the intelligent driving system.

[0005] To achieve the above object, an embodiment of the present invention provides an intelligent energy management chassis control method, comprising: obtaining dynamic map update information based on a 5G-Redcap signal path;

[0006] Based on the dynamic map update information, generate intelligent driving map data information;

[0007] Based on different user switch status information, enter the intelligent driving energy wisdom mode, intelligent energy assistance mode or manual driving mode;

[0008] Based on different intelligent driving modes and the intelligent driving map data information, control the associated systems of the vehicle chassis.

[0009] Furthermore, the acquisition of dynamic map update information based on the 5G-Redcap signal path includes:

[0010] Construct a 5G-Redcap communication interface and obtain a 5G-Redcap signal path;

[0011] Obtain dynamic map access rights, capture dynamic map update nodes through the 5G-Redcap signal path, and obtain map update data;

[0012] Get dynamic map update information based on map update data.

[0013] Furthermore, based on the dynamic map update information, intelligent driving map data information is generated, including:

[0014] Construct the intelligent driving map coordinate system;

[0015] Based on the intelligent driving map coordinate system, coordinate conversion is performed on the dynamic map update information to obtain dynamic map update coordinate data;

[0016] The dynamic map update coordinate data is dynamically projected into the intelligent driving map coordinate system, and the intelligent driving map coordinate system is dynamically updated to obtain the intelligent driving map data information.

[0017] Furthermore, the entering of the intelligent driving energy wisdom mode, the intelligent energy assistance mode or the manual driving mode based on different user switch status information includes:

[0018] If the smart energy management switch is on and the smart driving switch is on, enter the smart driving energy intelligence mode;

[0019] If the Intelligent Energy Management switch is on and the Intelligent Driving switch is off, enter the Intelligent Energy Assist mode;

[0020] If the intelligent energy management switch is turned off, the system enters manual driving mode.

[0021] Furthermore, the associated system for controlling the vehicle chassis based on different intelligent driving modes and the intelligent driving map data information includes:

[0022] When entering the intelligent driving energy intelligence mode, the vehicle chassis related system is controlled to drive with the optimal energy management strategy based on the intelligent driving map data information;

[0023] When entering the intelligent energy assistance mode, the vehicle chassis association system is controlled based on the intelligent driving map data information to automatically adjust the energy distribution strategy for driving;

[0024] When entering manual driving mode, the vehicle chassis association system is controlled to assist in adjusting the driving strategy based on the intelligent driving map data information.

[0025] Furthermore, when entering the intelligent driving energy intelligence mode, based on the intelligent driving map data information, the vehicle chassis association system is controlled to drive with the optimal energy management strategy, including:

[0026] When entering the intelligent driving energy mode, the driving section information is obtained based on the intelligent driving map data information;

[0027] Based on the driving section information, controlling the vehicle chassis association system to adjust the vehicle speed so as to drive with an optimal energy management strategy;

[0028] Based on the optimal energy management strategy, the vehicle chassis-related system is controlled to automatically adjust the driving path.

[0029] Furthermore, when entering the intelligent energy assistance mode, based on the intelligent driving map data information, the vehicle chassis association system is controlled to automatically adjust the energy distribution strategy for driving, including:

[0030] When entering the intelligent energy assistance mode, the road information ahead of the driving path is obtained based on the intelligent driving map data information;

[0031] Based on the road information ahead of the driving path, the vehicle chassis association system is controlled to adjust the parameters of energy, brake and throttle response to automatically adjust the energy distribution strategy for driving.

[0032] Furthermore, when entering the manual driving mode, based on the intelligent driving map data information, the vehicle chassis association system is controlled to assist in adjusting the driving strategy, including:

[0033] When entering manual driving mode, obtain driving navigation information based on intelligent driving map data information;

[0034] Based on the driving navigation information, the vehicle chassis association system is controlled to assist in adjusting the driving strategy and braking response to provide an assisted driving strategy.

[0035] The embodiment of the present invention also provides an intelligent energy management chassis control system, comprising: a dynamic map update module, a map data information acquisition module, a driving mode selection module and a vehicle chassis control module;

[0036] The dynamic map update module is used to obtain dynamic map update information based on the 5G-Redcap signal path;

[0037] The map data information acquisition module is used to generate intelligent driving map data information based on the dynamic map update information;

[0038] The driving mode selection module is used to enter the intelligent driving energy wisdom mode, the intelligent energy assistance mode or the manual driving mode based on different user switch status information;

[0039] The vehicle chassis control module is used to control the associated systems of the vehicle chassis based on different intelligent driving modes and the intelligent driving map data information.

[0040] An embodiment of the present invention further proposes an intelligent energy management chassis control device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the intelligent energy management chassis control method when executing the computer program.

[0041] Beneficial effects:

[0042] (1) Through the 5G-Redcap signal path, it is possible to capture dynamic map update information in real time and generate intelligent driving map data information, so as to more accurately perceive and understand the surrounding environment. Based on the intelligent driving map data information, it is possible to match different user switch status information and intelligently switch to intelligent driving energy intelligence mode, intelligent energy assistance mode or manual driving mode. The intelligent switching mechanism improves driving flexibility and safety. In different intelligent driving modes, the system can accurately control the associated systems of the vehicle chassis, and improve the reliability of intelligent driving through the vehicle-road-cloud information coordination method.

[0043] (2) By selecting different driving modes in conjunction with dynamic map data updates to control the vehicle chassis-related systems and driving with different optimal energy allocation strategies, the vehicle's energy recovery efficiency can be maximized, traffic efficiency can be optimized, intersection congestion can be reduced, and the reliability of intelligent driving can be further improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 A schematic diagram of a process flow of an intelligent energy management chassis control method provided by an embodiment of the present invention;

[0045] Figure 2 A schematic diagram of an intelligent energy management system architecture of an intelligent energy management chassis control method provided by a certain embodiment of the present invention;

[0046] Figure 3 A schematic diagram of a system state switching strategy of an intelligent energy management chassis control method provided by an embodiment of the present invention;

[0047] Figure 4 A schematic diagram illustrating a scenario application of an intelligent energy management chassis control method provided by an embodiment of the present invention;

[0048] Figure 5 A schematic diagram of the module structure of an intelligent energy management chassis control system provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] The 5G-Redcap standard is the latest low-power, high-performance technology within the scope of 5G technology. It is still in the stage of base station deployment and construction. It is a new solution for the industry to reduce costs and increase efficiency. Its signal communication method is slightly adjusted compared to traditional 5G, and requires the vehicle-mounted terminal (TBOX or V2X-BOU) to perform adaptive module selection, spectrum adjustment, and communication matrix adaptation.

[0051] The intelligent driving map is a quasi-high-precision map data package that can be used for intelligent driving, which is different from ordinary navigation maps. It contains basic information such as intersection geometry, basic road classification and lane lines; it also includes: road dynamic information (such as road construction conditions, lane prohibitions, road traffic light conditions and other emergencies).

[0052] In the embodiment of the present invention, the following Figure 2 The intelligent energy management system architecture of an intelligent energy management chassis control method shown in the figure explains the feasibility of the technical solution. Specifically, the intelligent energy management system architecture includes: a 5G-Redcap module, an intelligent driving map module, an intelligent energy fusion decision module and a chassis execution system; the functional execution logic of each module is explained as follows: dynamic map update information is obtained from the cloud through the 5G-Redcap signal path, and transmitted to the dynamic map layer of the intelligent driving map cloud by the 5G-Redcap module; after coordinate transformation and processing of the dynamic map layer, the intelligent driving map data information is sorted and transmitted to the intelligent driving system. According to the different switch states selected by the user, the system will select different driving modes (manual or intelligent driving modes) to control the associated systems of the chassis.

[0053] Example 1

[0054] See also Figure 1 , Figure 1 The following is a flow chart of the steps of an intelligent energy management chassis control method provided by an embodiment of the present invention. Figure 1 As shown, the embodiment of the present invention provides an intelligent energy management chassis control method, including steps 101 to 104, each step is specifically as follows:

[0055] Step 101, obtaining dynamic map update information based on the 5G-Redcap signal path;

[0056] As an example of this embodiment, a 5G-Redcap communication interface is constructed to obtain a 5G-Redcap signal path; dynamic map access rights are obtained, and dynamic map update nodes are captured through the 5G-Redcap signal path to obtain map update data; based on the map update data, dynamic map update information is obtained. A specific implementation method is to configure network parameters for the 5G-Redcap communication interface, including IP address, port number, etc., to ensure that the 5G-Redcap communication module can be correctly connected to the cloud server, and to test the 5G-Redcap communication interface, including sending test data, receiving test data, etc., to ensure the normal operation of the interface, record test results, analyze and solve possible problems, and optimize interface performance to build a 5G-Redcap communication interface that meets operational requirements; after the 5G-Redcap communication interface is constructed, apply for access rights from the dynamic map service provider, including API key, user name and password, and configure the applied access rights to the 5G- In the Redcap communication interface, ensure that the interface can correctly access dynamic map data; use the 5G-Redcap communication interface to establish a signal path with the cloud server to ensure real-time data transmission; write a program to capture dynamic map update nodes according to the API interface or data format provided by the dynamic map service provider, parse the captured data, and extract map update information, including: road changes, road traffic participants, traffic lights, vulnerable groups and traffic conditions; then merge the captured map update data with the local map data to generate the latest map data, and finally update the latest map data to the map database of the intelligent driving system to obtain dynamic map update information.

[0057] Step 102, generating intelligent driving map data information based on the dynamic map update information;

[0058] As an example of this embodiment, an intelligent driving map coordinate system is constructed; based on the intelligent driving map coordinate system, the dynamic map update information is converted into coordinates to obtain dynamic map update coordinate data; the dynamic map update coordinate data is dynamically projected into the intelligent driving map coordinate system, and the intelligent driving map coordinate system is dynamically updated to obtain intelligent driving map data information. A specific possible implementation method is to select a suitable coordinate system type according to the needs of the intelligent driving system. The intelligent driving map coordinate systems commonly used in the prior art include the vehicle body coordinate system (such as the right-front-top coordinate RFU and the front-left-top coordinate FLU, etc.) and the global coordinate system (such as the Earth-centered Earth-fixed rectangular coordinate system ECEF and the local Cartesian coordinate system ENU, etc.). Then, the coordinate data in the dynamic map update information is converted into the coordinate data in the intelligent driving map coordinate system through linear transformation, affine transformation or projection transformation. Then, through some conventional visualization tools, the converted dynamic map update coordinate data is projected into the intelligent driving map coordinate system to obtain the dynamic map update coordinate data. According to the projected dynamic map update information, the intelligent driving map data information is updated, including: road changes, traffic sign updates, obstacle locations and other information; the road can be smoothed, the traffic signs can be identified and optimized, and the processed data and the updated intelligent driving map data information are stored in the database to obtain the intelligent driving map data information.

[0059] Step 103, based on different user switch status information, enter the intelligent driving energy wisdom mode, the intelligent energy assistance mode or the manual driving mode;

[0060] As an example of this embodiment, if the intelligent energy management switch is turned on and the intelligent driving switch is turned on, the intelligent driving energy wisdom mode is entered; if the intelligent energy management switch is turned on and the intelligent driving switch is turned off, the intelligent energy assistance mode is entered; if the intelligent energy management switch is turned off, the manual driving mode is entered. For a specific possible implementation method, see Figure 3 , Figure 3 A schematic diagram of a system state switching strategy of an intelligent energy management chassis control method provided by an embodiment of the present invention; Figure 3As shown, when the user operates, the switch of the intelligent energy management system must be turned on first (equivalent to the intelligent energy management switch). When only the switch (equivalent to the intelligent energy management switch) is turned on, the user will enter the intelligent energy assistance mode when driving. In this mode, it can only assist the user to adjust the throttle response value or brake response value in real time according to the situation of the target object in front of the vehicle when stepping on the brake pedal or accelerator to improve the energy management ability; if the user enters the intelligent driving mode (equivalent to the intelligent driving switch turned on), the system automatically switches to the intelligent driving energy wisdom mode. In this mode, the lateral and longitudinal control capabilities will be activated to achieve functions such as autonomous lane change, automatic speed adjustment, green wave passing, etc.; if the user does not turn on the switch of the intelligent energy management system (equivalent to the intelligent energy management switch turned off), the manual driving mode will be entered. After entering this mode, the control is carried out according to the driver's operation.

[0061] Step 104: Control the associated system of the vehicle chassis based on different intelligent driving modes and the intelligent driving map data information.

[0062] As an example of this embodiment, when entering the intelligent driving energy intelligence mode, based on the intelligent driving map data information, the vehicle chassis association system is controlled to drive with the optimal energy management strategy;

[0063] As another example of this embodiment, when entering the intelligent driving energy wisdom mode, the driving section information is obtained based on the intelligent driving map data information; based on the driving section information, the vehicle chassis association system is controlled to adjust the vehicle speed and drive with the optimal energy management strategy; based on the optimal energy management strategy, the vehicle chassis association system is controlled to automatically adjust the driving path. A specific implementation method is that when entering the intelligent driving energy intelligence mode, the intelligent driving system will cooperate with the energy management system to cooperate with road information and traffic light conditions to realize active lane changes, active speed adjustment, and pass through road intersections without stopping as much as possible to achieve optimal energy management; more specifically, when entering the intelligent driving energy intelligence mode, the intelligent driving map data information is first analyzed to extract detailed information on the current and future driving sections, including but not limited to road types (such as highways, urban roads and rural roads, etc.), road conditions (such as congestion, smooth traffic and construction, etc.), slopes, speed limits and traffic signals, etc., combined with on-board sensors (such as radars and cameras, etc.) and real-time traffic data (such as road condition information from traffic broadcasts and on-board navigation systems), to update and predict the intelligent driving map data in real time; after the data is updated, the control-by-wire chassis technology (such as control-by-wire throttle, control-by-wire The intelligent driving system precisely controls the vehicle chassis-related systems, and adjusts the throttle opening, brake pressure, steering angle, etc. according to the optimal energy management strategy to achieve smooth adjustment of the vehicle speed. At the same time, it monitors the vehicle status (such as speed, acceleration, energy consumption, etc.) and road conditions in real time. According to the monitoring results and feedback information, the intelligent driving system fine-tunes the energy management strategy to ensure optimal performance. Based on the intelligent driving map data and real-time road conditions information, the intelligent driving system evaluates the energy consumption and efficiency of the current path and alternative paths, and selects the driving path with the lowest energy consumption and the highest efficiency considering factors such as road congestion, slope changes and speed limits. According to the evaluation results, the intelligent driving system automatically plans a new driving path and controls the vehicle chassis-related systems to adjust the driving route in time. In case of emergencies (such as traffic accidents and road closures), the intelligent driving system can quickly replan the path and adjust the driving strategy.

[0064] When entering the intelligent energy assistance mode, the vehicle chassis association system is controlled based on the intelligent driving map data information to automatically adjust the energy distribution strategy for driving;

[0065] As another example of this embodiment, when entering the intelligent energy assistance mode, the road information ahead of the driving path is obtained based on the intelligent driving map data information; based on the road information ahead of the driving path, the vehicle chassis association system is controlled to adjust the parameters of energy, braking and throttle response to automatically adjust the energy distribution strategy for driving. A specific implementation method is that when entering the intelligent energy assistance mode, the system will adjust the parameters of energy and braking and throttle response when there is a target object in front. For example, when the vehicle in front is gradually decelerating and the vehicle is still stepping on the accelerator, the torque output can be slowly reduced to avoid heavy braking. When there is a vehicle farther ahead and the vehicle steps on the brakes, the maximum energy recovery is prioritized for braking assistance, and then the value is slowly reduced to 0, which not only ensures energy recovery, but also provides users with a comfortable braking experience and improves the energy utilization rate of the vehicle. More specifically, after entering the intelligent energy assistance mode, the intelligent driving map data information is first parsed. , extract the road information ahead of the driving path, including road type (such as highways, urban roads and rural roads), slope, curvature, speed limit, traffic light status and traffic flow, etc., use on-board sensors (such as radar and cameras) and communication technology (such as V2X communication technology) to collect road information in real time, compare and verify it with the intelligent driving map data, and predict road changes in the future, such as traffic congestion and accidents, based on real-time road condition information and historical data. According to the road information ahead, the intelligent driving system adjusts the vehicle's energy management strategy, and increases the speed on uphill sections. Increase power output and improve vehicle acceleration performance; on downhill sections, use the brake energy recovery system to reduce energy consumption; adjust the response speed and braking force of the brake system according to the road slope and traffic flow; optimize the working mode of the brake system in sections with traffic congestion or frequent braking to reduce energy consumption and brake pad wear; adjust the sensitivity and acceleration of the throttle response according to the road speed limit and traffic flow; on sections with higher speed limits, increase the throttle response speed so that the vehicle can quickly reach a safe speed; on sections with lower speed limits or traffic congestion, reduce the throttle response speed to keep the vehicle running smoothly; intelligent The intelligent driving system comprehensively considers factors such as the road ahead information, vehicle status (such as battery power and fuel consumption) and driver's driving habits, evaluates the effects of different energy allocation strategies, and selects the optimal energy allocation strategy through advanced algorithms and models to minimize energy consumption and maximize driving efficiency. During driving, the intelligent driving system monitors the vehicle status and road conditions in real time, and adjusts the energy allocation strategy in real time based on the monitoring results to optimize vehicle performance. In the event of emergencies (such as traffic accidents and road closures), the intelligent driving system can quickly adjust the strategy to control the vehicle chassis-related systems to ensure safe driving.

[0066] When entering manual driving mode, the vehicle chassis association system is controlled to assist in adjusting the driving strategy based on the intelligent driving map data information.

[0067] As another example of this embodiment, when entering the manual driving mode, driving navigation information is obtained based on the intelligent driving map data information; based on the driving navigation information, the vehicle chassis association system is controlled to assist in adjusting the driving strategy and braking response to provide an assisted driving strategy. A specific possible implementation method is that when entering the manual driving mode, the intelligent driving system will not be activated, and the assisted driving mode will be activated to assist the driver in driving; more specifically, after entering the manual driving mode, the intelligent driving assistance system first parses the intelligent driving map data information, and extracts the current driving route and surrounding navigation information. These navigation information include road type, number of lanes, speed limit, traffic light location, traffic flow and road construction conditions, etc., and uses on-board sensors (such as cameras and radars, etc.) and real-time traffic data (such as road conditions from traffic broadcasts and vehicle networking systems) to update and verify the intelligent driving map data in real time. According to the navigation information, the intelligent driving assistance system determines the current driving environment, such as road type and speed limit, and assists the driver to adjust the driving strategy accordingly. For example, on the highway, the system may suggest that the driver maintain a higher speed and change lanes in advance to avoid congestion. On city roads, the system may suggest that the driver pay attention to changes in traffic lights and keep a safe distance. etc., and then, based on the road information and traffic flow ahead, assist in adjusting the response speed and braking force of the braking system. In sections where the road ahead is congested or requires frequent braking, the system issues suggestions to remind the driver to slow down in advance and use a softer braking method to reduce energy consumption and brake pad wear. The system provides the driver with real-time road information, traffic flow, speed limit and other reminders through the on-board display screen and sound prompts. When encountering potential dangers, such as the vehicle ahead suddenly changing lanes or pedestrians crossing the road, the system can issue an early warning to help the driver take timely measures to avoid accidents. In addition, by learning the driver's driving habits and preferences, the system provides the driver with personalized driving suggestions. For example, in long-distance driving, the system may suggest that the driver take regular breaks and adjust the speed to improve driving safety and comfort. In the process of driving, the system monitors traffic flow and road conditions in real time. In the event of traffic congestion or road construction, the system can quickly re-plan the driving route and provide it to the driver for selection.

[0068] For a specific explanation, see Figure 4 , Figure 4 A schematic diagram illustrating a scenario application of an intelligent energy management chassis control method provided by a certain embodiment of the present invention; Figure 4As shown in the figure, the star logo represents other traffic participants. In an example scenario with several other traffic participants, traffic lights, vehicles A and vehicle B, vehicle A is equipped with an intelligent energy management system and the ability to update the intelligent driving dynamic map using the 5G-Redcap channel. When entering the intersection, if vehicle A is in intelligent driving state and the intelligent energy management is turned on, the system automatically enters the intelligent assistance mode. Vehicle A can automatically change lanes to bypass the problematic vehicle B and other traffic participants to achieve the optimal path and optimal energy utilization (white trajectory line). If vehicle A only turns on the intelligent energy switch at this time and the intelligent driving system is not turned on, then according to the driver's operation, vehicle A will stop behind vehicle B. This process will reasonably adjust the intelligent energy recovery value to achieve the most efficient energy recovery.

[0069] An intelligent energy management chassis control method proposed in an embodiment of the present invention can capture dynamic map update information in real time and generate intelligent driving map data information through a 5G-Redcap signal path, so as to more accurately perceive and understand the surrounding environment, and then based on the intelligent driving map data information, it can match different user switch status information, and intelligently switch to intelligent driving energy wisdom mode, intelligent energy assistance mode or manual driving mode, thereby improving driving flexibility and safety through an intelligent switching mechanism. In different intelligent driving modes, the system can accurately control the associated systems of the vehicle chassis, and improve the reliability of intelligent driving through vehicle-road-cloud information coordination. By selecting different driving modes in conjunction with dynamic map data updates to control the associated systems of the vehicle chassis, and driving with different optimal energy allocation strategies, the vehicle's energy recovery efficiency can be maximized, and traffic efficiency can be optimized, intersection congestion can be reduced, and the reliability of intelligent driving can be further improved.

[0070] Example 2

[0071] See also Figure 5 , Figure 5 The following is a schematic diagram of the module structure of an intelligent energy management chassis control system provided by an embodiment of the present invention. Figure 5 As shown, the embodiment of the present invention proposes an intelligent energy management chassis control system, including: a dynamic map update module 501, a map data information acquisition module 502, a driving mode selection module 503 and a vehicle chassis control module 504;

[0072] The dynamic map update module 501 is used to obtain dynamic map update information based on the 5G-Redcap signal path;

[0073] The map data information acquisition module 502 is used to generate intelligent driving map data information based on the dynamic map update information;

[0074] The driving mode selection module 503 is used to enter the intelligent driving energy wisdom mode, the intelligent energy assistance mode or the manual driving mode based on different user switch status information;

[0075] The vehicle chassis control module 504 is used to control the associated systems of the vehicle chassis based on different intelligent driving modes and the intelligent driving map data information.

[0076] An embodiment of the present invention provides an intelligent energy management chassis control system. With the help of a 5G-Redcap signal channel, the system can capture the update information of the dynamic map in real time, and generate accurate intelligent driving map data based on this, so as to deeply perceive and understand the vehicle's surrounding environment. Based on these intelligent driving map data, the system can flexibly match the user's switch status information, and intelligently switch between intelligent driving energy wisdom mode, intelligent energy assistance mode and manual driving mode. This intelligent switching mechanism greatly improves the flexibility and safety of driving; and in different intelligent driving modes, the system can accurately control the relevant systems of the vehicle chassis, and further enhance the reliability of intelligent driving through the coordination of vehicle-road-cloud information. At the same time, the system will select the most appropriate driving mode according to the update of dynamic map data, and control the relevant systems of the vehicle chassis accordingly, and adopt different optimal energy allocation strategies for driving. The system not only maximizes the vehicle's energy recovery efficiency, but also optimizes traffic efficiency, effectively alleviates intersection congestion, and further improves the overall reliability of intelligent driving.

[0077] An embodiment of the present invention further proposes an intelligent energy management chassis control device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the intelligent energy management chassis control method when executing the computer program.

[0078] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

[0079] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0080] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

Claims

1. An intelligent energy management chassis control method, characterized in that: include: Based on the 5G-Redcap signal path, dynamic map update information is obtained; Based on the dynamic map update information, generate intelligent driving map data information; Based on different user switch status information, enter the intelligent driving energy wisdom mode, intelligent energy assistance mode or manual driving mode; Based on different intelligent driving modes and the intelligent driving map data information, control the associated systems of the vehicle chassis.

2. The intelligent energy management chassis control method according to claim 1, characterized in that: The obtaining of dynamic map update information based on the 5G-Redcap signal path includes: Construct a 5G-Redcap communication interface and obtain a 5G-Redcap signal path; Obtain dynamic map access rights, capture dynamic map update nodes through the 5G-Redcap signal path, and obtain map update data; Get dynamic map update information based on map update data.

3. The intelligent energy management chassis control method according to claim 1, characterized in that: Based on the dynamic map update information, intelligent driving map data information is generated, including: Construct the intelligent driving map coordinate system; Based on the intelligent driving map coordinate system, coordinate conversion is performed on the dynamic map update information to obtain dynamic map update coordinate data; The dynamic map update coordinate data is dynamically projected into the intelligent driving map coordinate system, and the intelligent driving map coordinate system is dynamically updated to obtain the intelligent driving map data information.

4. The intelligent energy management chassis control method according to claim 1, characterized in that: The method of entering the intelligent driving energy wisdom mode, the intelligent energy assistance mode or the manual driving mode based on different user switch status information includes: If the smart energy management switch is on and the smart driving switch is on, enter the smart driving energy intelligence mode; If the Intelligent Energy Management switch is on and the Intelligent Driving switch is off, enter the Intelligent Energy Assist mode; If the intelligent energy management switch is turned off, the system enters manual driving mode.

5. An intelligent energy management chassis control method as claimed in claim 1 or 4, characterized in that: The associated system for controlling the vehicle chassis based on different intelligent driving modes and the intelligent driving map data information includes: When entering the intelligent driving energy intelligence mode, the vehicle chassis related system is controlled to drive with the optimal energy management strategy based on the intelligent driving map data information; When entering the intelligent energy assistance mode, the vehicle chassis association system is controlled based on the intelligent driving map data information to automatically adjust the energy distribution strategy for driving; When entering manual driving mode, the vehicle chassis association system is controlled to assist in adjusting the driving strategy based on the intelligent driving map data information.

6. The intelligent energy management chassis control method according to claim 5, characterized in that: When entering the intelligent driving energy intelligence mode, based on the intelligent driving map data information, the vehicle chassis association system is controlled to drive with the optimal energy management strategy, including: When entering the intelligent driving energy mode, the driving section information is obtained based on the intelligent driving map data information; Based on the driving section information, controlling the vehicle chassis association system to adjust the vehicle speed so as to drive with an optimal energy management strategy; Based on the optimal energy management strategy, the vehicle chassis-related system is controlled to automatically adjust the driving path.

7. The intelligent energy management chassis control method according to claim 5, characterized in that: When entering the intelligent energy assistance mode, based on the intelligent driving map data information, the vehicle chassis association system is controlled to automatically adjust the energy distribution strategy for driving, including: When entering the intelligent energy assistance mode, the road information ahead of the driving path is obtained based on the intelligent driving map data information; Based on the road information ahead of the driving path, the vehicle chassis association system is controlled to adjust the parameters of energy, brake and throttle response to automatically adjust the energy distribution strategy for driving.

8. The intelligent energy management chassis control method according to claim 5, characterized in that: When entering the manual driving mode, based on the intelligent driving map data information, the vehicle chassis association system is controlled to assist in adjusting the driving strategy, including: When entering manual driving mode, obtain driving navigation information based on intelligent driving map data information; Based on the driving navigation information, the vehicle chassis association system is controlled to assist in adjusting the driving strategy and braking response to provide an assisted driving strategy.

9. An intelligent energy management chassis control system, characterized in that: include: Dynamic map update module, map data information acquisition module, driving mode selection module and vehicle chassis control module; The dynamic map update module is used to obtain dynamic map update information based on the 5G-Redcap signal path; The map data information acquisition module is used to generate intelligent driving map data information based on the dynamic map update information; The driving mode selection module is used to enter the intelligent driving energy wisdom mode, the intelligent energy assistance mode or the manual driving mode based on different user switch status information; The vehicle chassis control module is used to control the associated systems of the vehicle chassis based on different intelligent driving modes and the intelligent driving map data information.

10. An intelligent energy management chassis control device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements an intelligent energy management chassis control method as claimed in claims 1 to 8 when executing the computer program.

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