Electric vehicle energy consumption management system

Abstract

The invention discloses an electric vehicle energy consumption management system, which relates to the field of energy consumption management and comprises a vehicle state module, a geographic state module and a control state module, the vehicle state module is used for acquiring vehicle electric quantity state information; the geographical state module is used for acquiring geographical state information of the vehicle; the control state module is used for acquiring control vehicle state information; the system further comprises a route planning module. Acquiring destination information; the destination information is input into a route planning module, and the route planning module is used for generating a driving route plan according to the vehicle electric quantity state information, the vehicle geographical state information and the control vehicle state information; the planning of the driving route comprises setting a vehicle control strategy corresponding to the route under the geographic coordinates, or / and setting the route under the geographic coordinates corresponding to the vehicle control strategy. According to the scheme, the electric quantity consumption state of the vehicle is monitored, the insufficient electric quantity state is warned, the electric energy consumption of the vehicle is reduced through the preset control strategy, and the driving route planning risk is reduced.

Description

Technical Field

[0001] The present application relates to the field of energy consumption management, and in particular to an electric vehicle energy consumption management system, an electric vehicle energy consumption management method, an electronic device, a storage medium, and a vehicle platform. Background Art

[0002] Although the existing electric vehicle power management and warning systems can provide certain power status monitoring and endurance prompts, they still have shortcomings, which are specifically manifested in the following aspects:

[0003] 1. Inaccurate battery life warnings: Existing battery life warning systems typically rely on simple battery charge percentages or estimated remaining range. These systems fail to fully consider the various factors that influence battery consumption, leading to significant discrepancies between the system's indicated range and the actual distance traveled. This results in inaccurate battery life warnings and can affect driver decision-making. 2. Lack of analysis of personalized driving habits: Existing battery life management systems generally lack in-depth analysis of user driving habits, making it difficult to adjust battery life predictions based on individual driver styles and behavior patterns. However, existing technologies fail to effectively identify and dynamically adjust battery life predictions based on these driving habits, resulting in battery life management systems being insufficiently responsive to personalized needs. 3. Inadequate correlation between route planning and battery life: Existing battery life warning systems typically only consider a simple linear relationship between current battery life and target distance, failing to fully incorporate real-time road conditions, terrain information (such as uphill and downhill slopes), traffic congestion, and other factors to dynamically adjust battery life predictions. This can lead to the potential risk of battery depletion. 4. Incomplete charging station recommendation functionality: Existing battery life warning systems lack sufficient intelligence in their charging station recommendations. For example, the system fails to account for issues like traffic congestion or detours, making it unable to provide an optimal charging plan. This can result in users arriving at charging stations with a depleted battery, impacting the driving experience. 5. Irrational warning timing: Existing battery warning systems often use fixed battery thresholds (such as 20% or 10%), which fail to fully consider driving scenarios or individual user needs. Consequently, fixed threshold warnings can be misleading and inflexible in adapting to diverse driving scenarios. 6. Lack of remote warning and interaction: Existing battery management systems are mostly limited to in-vehicle displays, lacking effective remote interaction with the driver's phone or other devices. This limitation means users may only discover low battery levels upon returning to the vehicle, preventing them from planning charging in advance. 7. Lack of emergency response mechanisms: Current battery warning systems lack adequate emergency response mechanisms, particularly when the battery is nearing depletion, and fail to provide effective response plans. This lack of emergency response mechanisms can put drivers in difficult situations. 8. Inadequate consideration of battery aging and environmental factors: Existing battery management systems often overlook the impact of external factors, such as battery aging and temperature fluctuations, on battery predictions. Furthermore, as the battery's lifespan decreases, the accuracy of battery predictions may also decrease. However, current systems don't fully account for these factors, resulting in inaccurate battery warnings in some cases. Therefore, a solution for managing electric vehicle energy consumption is needed. This solution, based on destination information, integrates vehicle battery status, geographic status, and operational status information to generate a driving route plan that ensures vehicle energy consumption is as expected. Summary of the Invention

[0004] The purpose of the present invention is to provide an electric vehicle energy consumption management system, an electric vehicle energy consumption management method, an electronic device, a storage medium and a vehicle platform, which at least solve the problem of how to balance the contradiction between driving habits and vehicle performance, solve the problem of how to reduce the impact of charging services on vehicle driving, and solve the technical problem of how to timely and reasonably limit the excessive energy consumption of the vehicle through energy-saving strategies to reduce charging anxiety.

[0005] The present invention provides the following solutions:

[0006] According to one aspect of the present invention, there is provided an electric vehicle energy consumption management system, the electric vehicle energy consumption management system comprising: a vehicle status module, a geographical status module and a control status module;

[0007] Vehicle status module, used to obtain vehicle power status information;

[0008] Geographic status module, used to obtain vehicle geographic status information;

[0009] Control status module, used to obtain control vehicle status information;

[0010] Also included is a route planning module;

[0011] Get destination information;

[0012] The destination information is input into the route planning module, which is used to generate a driving route plan based on the vehicle power status information, vehicle geographical status information and vehicle control status information;

[0013] The planning of the driving route includes setting a vehicle control strategy corresponding to the route under the geographical coordinates, or / and setting the route under the geographical coordinates corresponding to the vehicle control strategy.

[0014] Furthermore, the vehicle status module includes: a power monitoring module, a power warning module and an emergency energy-saving module;

[0015] Power monitoring module, used to monitor the vehicle's power consumption status;

[0016] The monitoring of the vehicle's power consumption status includes obtaining information on the vehicle's power consumption status based on vehicle performance, road conditions, weather conditions, and operating conditions;

[0017] Power warning module, used to warn of low power status;

[0018] The warning of insufficient battery state includes planning the driving route based on the vehicle's battery consumption state and warning of the risk of insufficient battery;

[0019] Emergency energy-saving module, used to reduce vehicle power consumption;

[0020] The reducing of the vehicle's power consumption includes introducing a preset control strategy based on the risk of insufficient power warning to reduce the risk of implementing the driving route planning.

[0021] Furthermore, the geographic status module includes:

[0022] Mark the geographical coordinates of the departure, destination and transit points;

[0023] It also includes, based on geographic coordinates, the function and status of the places passed by on the driving route;

[0024] It also includes, based on geographic coordinates, marking the road condition status of the path between the geographic coordinates of the departure point, destination and transit points;

[0025] It also includes road and weather conditions based on geographic coordinates.

[0026] Furthermore, the geographic status module includes: a charging recommendation module;

[0027] Based on geographic coordinates, the standard functions and status of the places passed by on the driving route, and the charging recommendation module are used to mark the location of charging stations and charging service functions;

[0028] It also includes the service content status of the charging service function and the redundancy status of the charging service resources.

[0029] Furthermore, the control state module includes:

[0030] Based on the historical information of vehicle operation, obtain the operation habit information;

[0031] The information of the control status module and the information of the geographic status module are input into the power monitoring module to obtain the information of the vehicle power consumption status;

[0032] in,

[0033] Acquire information about the control status based on the control habit information and input it into the power monitoring module;

[0034] Dynamically update road and weather status labels based on the time duration of vehicle geographic coordinate changes;

[0035] Dynamically update the function and status of the places passed by based on the time duration of the vehicle's geographic coordinate changes;

[0036] Based on the dynamically updated annotations, the information of the geographic status module is input into the power monitoring module.

[0037] Furthermore, the inputting of the destination information into the route planning module for generating a driving route plan based on the vehicle power status information, the vehicle geographic status information, and the vehicle control status information includes:

[0038] Obtain target information for the planned driving route;

[0039] The target information of the planned driving route includes controlling the path of the planned driving route based on the goals of time efficiency, energy utilization, driving safety, driving experience that conforms to driving habits, and / or travel purpose;

[0040] in,

[0041] The controlling of the path of the planned driving route includes generating a warning of insufficient power risk by a power warning module corresponding to the path of the planned driving route;

[0042] Based on the warning of insufficient power risk, the preset control strategy in the emergency energy-saving module is triggered.

[0043] Further, the risks of low battery warning include:

[0044] Based on the acquisition of charging service resources, the risk of insufficient power when arriving at the charging station;

[0045] It also includes the risk of insufficient power when arriving at the charging station location based on the location of the charging station marked by the charging recommendation module, the service content status of the charging service function, and the redundancy status of the charging service resources;

[0046] in,

[0047] Based on the time duration of the vehicle's geographic coordinate changes, the service content status and charging service resource redundancy status of the charging station charging service function marked by the charging recommendation module are dynamically updated;

[0048] The driving route planning is dynamically updated based on the service content status and charging service resource redundancy status of the charging service function of the charging station marked by the dynamic update charging recommendation module.

[0049] Furthermore, the vehicle control strategy for setting the route corresponding to the geographical coordinates, or / and the vehicle control strategy for setting the route corresponding to the geographical coordinates include:

[0050] Through the geographic status module, the geographic coordinates of the departure point, destination and transit points are marked to generate a route under the geographic coordinates;

[0051] Input the route under geographic coordinates into the vehicle status module;

[0052] The vehicle state module generates a vehicle control strategy based on the route completed in the geographic coordinates;

[0053] The strategies for executing vehicle control include a power monitoring module, a power warning module, and an emergency energy-saving module, which respectively monitor the vehicle's power consumption status, warn of insufficient power, and reduce the vehicle's power consumption to ensure that the vehicle achieves the route under the geographic coordinates.

[0054] Furthermore, the vehicle control strategy for setting the route corresponding to the geographical coordinates, or / and the vehicle control strategy for setting the route corresponding to the geographical coordinates further includes:

[0055] Obtaining control status information based on control habit information, inputting it into the vehicle status module, and generating a vehicle control strategy;

[0056] Vehicle control strategies include monitoring the vehicle's power consumption, warning of low power conditions, and reducing vehicle power consumption based on tracking vehicle performance output curves under control habits;

[0057] According to monitoring the power consumption status of the vehicle, warning the low power status and reducing the power consumption of the vehicle, the route under the geographic coordinates is set to ensure the realization of the route under the geographic coordinates of the vehicle.

[0058] Furthermore, it also includes: a remote interaction module;

[0059] Setting a vehicle control strategy according to a route corresponding to the geographic coordinates, or / and setting a route corresponding to the vehicle control strategy, and generating options for a human-computer interaction interface;

[0060] The options of the human-computer interaction interface respectively correspond to strategy options for driving route planning, and / or input data options for generating driving route planning;

[0061] Dynamically update the options of the human-computer interaction interface according to the vehicle's progress.

[0062] According to two aspects of the present invention, there is provided an electric vehicle energy consumption management method, the electric vehicle energy consumption management method comprising: a vehicle status module, a geographical status module and a control status module;

[0063] Get vehicle power status information;

[0064] Obtain vehicle geographic status information;

[0065] Obtaining vehicle status information;

[0066] Based on the destination information, the driving route plan is generated according to the vehicle power status information, vehicle geographical status information and vehicle control status information;

[0067] The planning of the driving route includes setting a vehicle control strategy corresponding to the route under the geographical coordinates, or / and setting the route under the geographical coordinates corresponding to the vehicle control strategy.

[0068] According to three aspects of the present invention, there is provided an electronic device, comprising: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus;

[0069] A computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the electric vehicle energy consumption management method.

[0070] According to four aspects of the present invention, a computer-readable storage medium is provided, which stores a computer program executable by an electronic device. When the computer program runs on the electronic device, the electronic device executes the steps of the electric vehicle energy consumption management method.

[0071] According to five aspects of the present invention, a vehicle platform is provided, comprising:

[0072] An electronic device for implementing the steps of the electric vehicle energy consumption management method;

[0073] a processor, the processor running a program, and executing the steps of the electric vehicle energy consumption management method based on data output by the electronic device when the program is running;

[0074] The storage medium is used to store a program, and when the program is running, it executes the steps of the electric vehicle energy consumption management method for data output from the electronic device.

[0075] Through the above solution, the following beneficial technical effects are achieved:

[0076] This application generates a driving route plan through vehicle power status information, vehicle geographic status information and vehicle control status information. In the driving route planning, the vehicle control strategy is set corresponding to the route under the geographic coordinates, or / and the route under the geographic coordinates is set corresponding to the vehicle control strategy, so that the power consumption is highly purposeful and the control is sufficient.

[0077] This application monitors the vehicle's power consumption status, warns of insufficient power, and uses preset control strategies to reduce vehicle power consumption and lower the risk of implementing driving route planning.

[0078] This application dynamically updates the options of the human-computer interaction interface, allowing human opinions to participate in route planning while maintaining or changing the current strategy in a purposeful and controllable manner, thereby improving the flexibility of the strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] Figure 1 This is a structural diagram of an electric vehicle energy consumption management system provided by one or more embodiments of the present invention.

[0080] Figure 2 This is a flow chart of an electric vehicle energy consumption management method provided by one or more embodiments of the present invention.

[0081] Figure 3 This is a structural block diagram of an electronic device according to one or more embodiments of the present invention, providing an electric vehicle energy consumption management method. DETAILED DESCRIPTION

[0082] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0083] Figure 1 This is a flow chart of an electric vehicle energy consumption management method provided by one or more embodiments of the present invention.

[0084] like Figure 1 The electric vehicle energy consumption management method shown includes: a vehicle state module, a geographical state module and a control state module;

[0085] Step S1, obtaining vehicle power status information;

[0086] Obtain vehicle geographic status information;

[0087] Obtaining vehicle status information;

[0088] Step S2, based on the destination information, generating a travel route plan according to the vehicle power status information, the vehicle geographic status information and the vehicle control status information;

[0089] The planning of the driving route includes setting a vehicle control strategy corresponding to the route under the geographical coordinates, or / and setting the route under the geographical coordinates corresponding to the vehicle control strategy.

[0090] Specifically, in one embodiment, a solution based on network maps and intelligent power early warning is disclosed. By combining real-time data analysis, intelligent algorithms, and network map services, accurate management and early warning of electric vehicle power levels are achieved. The core technical solution mainly includes the following parts:

[0091] 1. Vehicle power monitoring module (obtains vehicle power status information).

[0092] The system collects real-time data such as battery charge, current range, and energy consumption rate through the vehicle's Battery Management System (BMS), and dynamically calculates power consumption based on the vehicle's current driving status (such as speed, acceleration, deceleration, and slope). The specific steps are as follows:

[0093] Real-time power collection: obtain information such as power percentage and remaining mileage through the battery management system.

[0094] Consumption prediction algorithm: Based on the current vehicle driving status, the system uses an energy consumption model to predict the vehicle's power consumption under different driving conditions, taking into account road conditions, weather, and power consumption of on-board equipment.

[0095] Power warning: When the system detects that the power level is lower than a certain threshold, it starts the warning process and gives a power warning prompt in combination with the route planning module.

[0096] 2. Network map integration module (vehicle geographic status information).

[0097] The system integrates web map services to obtain information about the vehicle's current location, destination, and surrounding charging stations. The web map module implements charging station recommendations and route planning through the following steps:

[0098] Real-time location acquisition: Get the vehicle's current location in real time via GPS.

[0099] Charging station information: The system obtains the geographical location, number of charging piles, idle status, charging power, cost and other information of nearby charging stations in real time through the network map interface.

[0100] Dynamic route planning: Based on the vehicle's remaining power and real-time road conditions (such as traffic congestion, road closures, etc.), the system dynamically adjusts the optimal driving route, recommends the nearest and most suitable charging station to the vehicle, and plans energy-saving routes based on actual conditions.

[0101] 3. Power warning trigger mechanism.

[0102] The system's battery warning module no longer relies on a fixed battery threshold. Instead, it comprehensively determines whether the vehicle needs to issue a warning based on multi-dimensional data, including:

[0103] Battery Warning Levels: Warning levels are categorized into preliminary, intermediate, and emergency warnings based on actual battery consumption, the vehicle's distance from the charging station, and route difficulty (e.g., hilly terrain, flat roads, etc.). Each warning level provides corresponding recommendations or route planning.

[0104] Dynamically adjust the warning timing: When the vehicle is in complex environments such as highways and mountainous areas, the system will issue a warning in advance; in urban areas, due to the large number of charging stations, the warning triggering timing can be delayed accordingly.

[0105] 4. Driving habit analysis module (control vehicle status information).

[0106] The system collects and analyzes the user's driving habits data (such as acceleration and braking frequency, vehicle speed, etc.) to adjust the power consumption prediction and warning trigger strategy. The specific operations are as follows:

[0107] Driving behavior collection: Obtain the driver's acceleration, deceleration, steering and other behavior data through vehicle sensors.

[0108] Driving Habit Model: The system generates a personalized driving habit model based on long-term data accumulation and uses this model to adjust the battery prediction algorithm. For example, aggressive drivers tend to consume more battery, so the system will trigger a warning earlier, while calm drivers can delay the triggering of warnings.

[0109] 5. Intelligent recommendation of charging stations.

[0110] When the vehicle's battery level drops to a critical value, the system will intelligently recommend a charging station based on the remaining battery level, vehicle location, driving route, and the real-time status of the charging station. The specific technical solution is as follows:

[0111] Priority sorting: Based on the distance between the charging station and the current location of the vehicle, the availability of charging piles at the charging station, charging speed and cost, the system prioritizes the charging stations and recommends the best charging station.

[0112] User preference analysis: By analyzing users' charging preferences through historical data, the system can recommend frequently used charging stations based on user habits to improve user experience.

[0113] Route optimization: The system combines real-time traffic information to dynamically plan routes and select the most energy-saving and shortest charging path.

[0114] 6. Emergency energy-saving mode.

[0115] When the system detects that the vehicle's battery is running low and there is no charging station nearby, the system automatically enters emergency energy-saving mode. Specific functions include:

[0116] Turn off non-essential functions: The system automatically turns off high-power-consuming devices such as the vehicle's air conditioning and seat heating to maximize the vehicle's range.

[0117] Limit vehicle performance: Reduce the vehicle's maximum speed and acceleration frequency to help the vehicle reach a charging station or safe area safely with minimal power consumption.

[0118] Provide emergency route suggestions: When the battery is extremely low, the system will re-plan the most energy-efficient driving route, avoiding congested roads and high-power sections (such as steep slopes).

[0119] 7. Remote monitoring and notification module.

[0120] Users can remotely monitor the vehicle's battery status through a mobile phone app, receive early warnings, and plan charging routes. The technical steps include:

[0121] Real-time power push: When the power reaches the warning state, the system automatically sends a notification to the user's mobile phone APP to remind the user to charge in time.

[0122] Remote route planning: Users can remotely set navigation through the mobile phone APP to guide the vehicle to a designated charging station or home.

[0123] In the above embodiment, by considering external factors such as road conditions, terrain, weather and driving habits, power consumption can be predicted more accurately and warning errors can be reduced. That is, the accuracy of power warnings is improved, so that drivers have a clearer understanding of power usage and avoid the risk of driving interruptions due to inaccurate power estimates.

[0124] In the above embodiment, the system intelligently recommends the most suitable charging station based on the vehicle power level, route planning, and real-time charging station data. That is, the system helps the driver quickly find an idle and efficient charging station through intelligent charging station recommendations, avoiding the situation of waiting for charging or running out of power due to the charging station being too far away.

[0125] In the above embodiment, by analyzing the user's driving behavior and habits, the power warning strategy and charging station recommendation plan are dynamically adjusted. That is, personalized power management makes the system more in line with user needs and improves the user experience.

[0126] In the above embodiment, when the battery is about to run out, the system automatically activates the emergency mode, provides energy-saving driving suggestions or shuts down non-essential functions. That is, the enhanced emergency handling capability ensures that the vehicle can safely reach the nearest charging station or safe area, thereby improving driving safety.

[0127] In the above embodiment, the system dynamically adjusts the triggering timing of the power warning based on the driving environment of the vehicle. That is, by dynamically adjusting the warning timing, the system issues a warning in advance in special environments such as highways and remote areas, and provides reasonable charging suggestions to prevent the driver from getting into trouble.

[0128] In the above embodiment, through linkage with the mobile phone APP, the user can remotely monitor the vehicle's power status and plan the charging route in advance when necessary, further improving the user's convenience and safety, that is, a better user experience.

[0129] Figure 1 This is a structural diagram of an electric vehicle energy consumption management system provided by one or more embodiments of the present invention.

[0130] like Figure 1 The electric vehicle energy consumption management system shown includes: a vehicle status module, a geographical status module and a control status module;

[0131] Vehicle status module, used to obtain vehicle power status information;

[0132] Geographic status module, used to obtain vehicle geographic status information;

[0133] Control status module, used to obtain control vehicle status information;

[0134] Also included is a route planning module;

[0135] Get destination information;

[0136] The destination information is input into the route planning module, which is used to generate a driving route plan based on the vehicle power status information, vehicle geographical status information and vehicle control status information;

[0137] The planning of the driving route includes setting a vehicle control strategy corresponding to the route under the geographical coordinates, or / and setting the route under the geographical coordinates corresponding to the vehicle control strategy.

[0138] In this embodiment, the vehicle status module includes: a power monitoring module, a power warning module and an emergency energy saving module;

[0139] Power monitoring module, used to monitor the vehicle's power consumption status;

[0140] Monitoring the battery consumption status of the vehicle includes obtaining information about the battery consumption status of the vehicle based on vehicle performance, road conditions, weather conditions, and operating conditions;

[0141] Power warning module, used to warn of low power status;

[0142] Warning of low battery status includes planning the driving route based on the vehicle's battery consumption status and warning of the risk of low battery;

[0143] Emergency energy-saving module, used to reduce vehicle power consumption;

[0144] Reducing vehicle power consumption includes introducing preset control strategies based on warnings of low battery risks to reduce the risk of implementing driving route planning.

[0145] In this embodiment, the geographic status module includes:

[0146] Mark the geographical coordinates of the departure, destination and transit points;

[0147] It also includes, based on geographic coordinates, the function and status of the places passed by on the driving route;

[0148] It also includes, based on geographic coordinates, marking the road condition status of the path between the geographic coordinates of the departure point, destination and transit points;

[0149] It also includes road and weather conditions based on geographic coordinates.

[0150] In this embodiment, the geographic status module includes: a charging recommendation module;

[0151] Based on geographic coordinates, the standard functions and status of the places passed by on the driving route, and the charging recommendation module are used to mark the location of charging stations and charging service functions;

[0152] It also includes the service content status of the charging service function and the redundancy status of the charging service resources.

[0153] In this embodiment, the control state module includes:

[0154] Based on the historical information of vehicle operation, obtain the operation habit information;

[0155] The information of the control status module and the information of the geographic status module are input into the power monitoring module to obtain the information of the vehicle power consumption status;

[0156] in,

[0157] Acquire information about the control status based on the control habit information and input it into the power monitoring module;

[0158] Dynamically update road and weather status labels based on the time duration of vehicle geographic coordinate changes;

[0159] Dynamically update the function and status of the places passed by based on the time duration of the vehicle's geographic coordinate changes;

[0160] Based on the dynamically updated annotations, the information of the geographic status module is input into the power monitoring module.

[0161] In this embodiment, the destination information is input into the route planning module, which is used to generate a driving route plan based on the vehicle power status information, the vehicle geographical status information, and the vehicle control status information, including:

[0162] Obtain target information for the planned driving route;

[0163] The target information for planning the driving route includes controlling the path of the planned driving route based on the goals of time efficiency, energy utilization, driving safety, a driving experience that conforms to driving habits, and / or travel purpose;

[0164] in,

[0165] Controlling the path of the planned driving route includes, corresponding to the path of the planned driving route, a power warning module generating a warning of a risk of insufficient power;

[0166] Based on the warning of insufficient power risk, the preset control strategy in the emergency energy-saving module is triggered.

[0167] In this embodiment, the risk of low battery warning includes:

[0168] Based on the acquisition of charging service resources, the risk of insufficient power when arriving at the charging station;

[0169] It also includes the risk of insufficient power when arriving at the charging station location based on the location of the charging station marked by the charging recommendation module, the service content status of the charging service function, and the redundancy status of the charging service resources;

[0170] in,

[0171] Based on the time duration of the vehicle's geographic coordinate changes, the service content status and charging service resource redundancy status of the charging station charging service function marked by the charging recommendation module are dynamically updated;

[0172] The driving route planning is dynamically updated based on the service content status and charging service resource redundancy status of the charging service function of the charging station marked by the dynamic update charging recommendation module.

[0173] In this embodiment, setting a vehicle control strategy corresponding to a route under geographical coordinates, or / and setting a route under geographical coordinates corresponding to a vehicle control strategy includes:

[0174] Through the geographic status module, the geographic coordinates of the departure point, destination and transit points are marked to generate a route under the geographic coordinates;

[0175] Input the route under geographic coordinates into the vehicle status module;

[0176] The vehicle state module generates a vehicle control strategy based on the route completed in the geographic coordinates;

[0177] The strategies for executing vehicle control include a power monitoring module, a power warning module, and an emergency energy-saving module, which respectively monitor the vehicle's power consumption status, warn of insufficient power, and reduce the vehicle's power consumption to ensure that the vehicle achieves the route under the geographic coordinates.

[0178] In this embodiment, setting a vehicle control strategy corresponding to a route under geographical coordinates, or / and setting a route under geographical coordinates corresponding to a vehicle control strategy further includes:

[0179] Obtaining control status information based on control habit information, inputting it into the vehicle status module, and generating a vehicle control strategy;

[0180] Vehicle control strategies include monitoring the vehicle's power consumption, warning of low power conditions, and reducing vehicle power consumption based on tracking vehicle performance output curves under control habits;

[0181] According to monitoring the power consumption status of the vehicle, warning the low power status and reducing the power consumption of the vehicle, the route under the geographic coordinates is set to ensure the realization of the route under the geographic coordinates of the vehicle.

[0182] In this embodiment, it also includes: a remote interaction module;

[0183] Setting a vehicle control strategy according to a route corresponding to the geographic coordinates, or / and setting a route corresponding to the vehicle control strategy, and generating options for a human-computer interaction interface;

[0184] The options of the human-computer interaction interface correspond to strategy options for driving route planning, or / and input data options for generating driving route planning;

[0185] Dynamically update the options of the human-computer interaction interface according to the vehicle's progress.

[0186] It is worth noting that although the present system discloses various modules, it does not mean that the present device is limited to the above-mentioned basic functional modules. Rather, what the present invention wants to express is that, based on the above-mentioned basic functional modules, those skilled in the art can arbitrarily add one or more functional modules in combination with the existing technology to form an infinite number of embodiments or technical solutions. In other words, the present system is open rather than closed. Just because the present embodiment only discloses individual basic functional modules, it cannot be considered that the scope of protection of the claims of the present invention is limited to the above-mentioned basic functional modules.

[0187] In a specific embodiment, a network map-based intelligent power warning system implemented on an actual electric vehicle is disclosed.

[0188] The system configuration includes: a power monitoring module: integrated into the vehicle's battery management system (BMS) to obtain real-time battery status data; a web map service: using the AutoNavi Map API to integrate real-time maps and charging station data; a driving habit analysis module: analyzing vehicle sensor data (such as accelerometers and gyroscopes) and driving history; and a warning and navigation module: providing warnings and navigation suggestions via the vehicle's central control system or mobile app.

[0189] Implementation steps include:

[0190] 1. Data collection and integration. Real-time power data: The battery management system (BMS) monitors the power status in real time, including remaining power and range.

[0191] Driving data: Driving behavior data such as acceleration and braking frequency are collected through vehicle sensors.

[0192] Online map data: Obtain the vehicle's current location, real-time information about nearby charging stations, and traffic conditions through the AutoNavi Map API.

[0193] 2. Battery Prediction and Warning. Battery Consumption Prediction: The system uses an energy consumption model to predict remaining battery consumption based on current battery level, driving behavior, and real-time road conditions. For example, if the system predicts that the remaining battery level will be insufficient to reach the destination under current driving conditions, the system will trigger a battery warning.

[0194] Warning trigger: When the battery level drops to a set threshold (e.g., 20%), the system issues a preliminary warning. If the battery level drops even lower (e.g., 10%), the system enters a more urgent warning state.

[0195] 3. Charging station recommendation and navigation. Charging station information acquisition: The system obtains the location information of nearby charging stations, charging pile availability, and other related data through the AutoNavi Map API.

[0196] Smart Recommendation: The system intelligently selects the nearest charging station with available charging piles and appropriate charging power based on battery level, current location, and a recommendation algorithm. For example, if the battery level is below 15%, the system recommends the nearest charging station and calculates a driving route.

[0197] Dynamic route planning: The system takes into account factors such as traffic congestion and road closures, dynamically plans the optimal driving route, and provides navigation guidance.

[0198] 4. Driving habit analysis and personalized warnings. Habit data analysis: The system analyzes the user's driving habits, such as acceleration and braking frequency, and adjusts the battery life prediction based on this data. For example, if the user tends to accelerate frequently, the system will increase the battery consumption prediction value, thereby issuing an early warning.

[0199] Personalized settings: Users can set their personal driving preferences in the system, and the system will dynamically adjust warning thresholds and charging station recommendations based on these settings.

[0200] 5. Emergency handling and energy-saving mode. Emergency mode enabled: When the battery level is extremely low (e.g. 5%), the system automatically enters emergency energy-saving mode, turning off the vehicle's air conditioning, reducing acceleration, and limiting the vehicle's maximum speed.

[0201] Emergency Navigation (pre-set control strategy): The system automatically plans the most energy-efficient route for users, avoiding congested roads and high-power consumption areas, and ensuring that the vehicle can reach the nearest charging station or safe area.

[0202] 6. Remote monitoring and notification. Remote power monitoring: Users can view the vehicle's power status, driving route, and charging station recommendations in real time through the mobile app.

[0203] Notification function: When the battery level reaches the warning state, the APP will push a notification to remind the user to charge or adjust the route.

[0204] In this embodiment, 1. Power management and energy consumption model: Battery Management System (BMS): The battery management system is used to monitor the battery status, including power level, health status, etc.

[0205] Energy consumption prediction models: These models predict power consumption based on factors such as the vehicle's driving state, road conditions, and climate. These models are typically optimized using machine learning or statistical analysis methods.

[0206] 2. Web map service integration: A map API provides map data, location services, real-time traffic information, and charging station data.

[0207] Map data updates: Online map service providers regularly update map data and charging station information to ensure data accuracy and timeliness.

[0208] 3. Driving habit analysis technology. Data collection: Driving behavior data, such as acceleration and braking frequency, is collected through vehicle-mounted sensors.

[0209] Behavioral pattern recognition: Use data mining or machine learning algorithms to identify users' driving habits and adjust the system's power prediction and warning strategies.

[0210] Intelligent recommendation algorithms include: Recommendation system: Provides personalized suggestions and recommendations to users based on their historical data and real-time situation. Optimization algorithm: Optimizes charging station recommendations and route planning using shortest path algorithms, minimum cost algorithms, etc.

[0211] 4. Emergency response and energy-saving strategies: Energy-saving mode: Reduces energy consumption by limiting vehicle functions and performance.

[0212] Emergency Management (pre-set control strategies): Provides safe driving advice and route planning to ensure vehicle safety when the battery is extremely low.

[0213] Figure 3 This is a structural block diagram of an electronic device for managing energy consumption of an electric vehicle provided by one or more embodiments of the present invention.

[0214] like Figure 3 As shown, the present application provides an electronic device, comprising: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus;

[0215] The memory stores a computer program, which, when executed by the processor, enables the processor to perform steps for energy consumption management of an electric vehicle.

[0216] The present application also provides a computer-readable storage medium storing a computer program executable by an electronic device. When the computer program runs on the electronic device, the electronic device executes a step of managing energy consumption of an electric vehicle.

[0217] The present application also provides a vehicle platform, comprising:

[0218] Electronic device for implementing steps for energy consumption management of electric vehicles;

[0219] a processor, the processor running a program, and executing steps for managing energy consumption of the electric vehicle based on data output by the electronic device when the program is running;

[0220] The storage medium is used to store a program, which, when running, executes the steps of electric vehicle energy consumption management for data output from the electronic device.

[0221] The communication bus mentioned in the electronic device mentioned above may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. This communication bus can be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is used in the figure, but this does not mean that there is only one bus or only one type of bus.

[0222] The electronic device includes a hardware layer, an operating system layer running on the hardware layer, and an application layer running on the operating system. The hardware layer includes hardware such as a central processing unit (CPU), a memory management unit (MMU), and memory. The operating system can be any one or more computer operating systems that control electronic devices through processes, such as the Linux operating system, the Unix operating system, the Android operating system, the iOS operating system, or the Windows operating system. In the embodiments of the present invention, the electronic device can be a handheld device such as a smartphone or a tablet computer, or an electronic device such as a desktop computer or a portable computer, which is not particularly limited in the embodiments of the present invention.

[0223] The execution subject of the electronic device control in the embodiment of the present invention can be an electronic device, or a functional module in the electronic device that can call a program and execute the program. The electronic device can obtain the firmware corresponding to the storage medium. The firmware corresponding to the storage medium is provided by the supplier. The firmware corresponding to different storage media can be the same or different, and is not limited here. After the electronic device obtains the firmware corresponding to the storage medium, it can write the firmware corresponding to the storage medium into the storage medium, specifically, burn the firmware corresponding to the storage medium into the storage medium. The process of burning the firmware into the storage medium can be implemented using existing technology and will not be described in detail in the embodiment of the present invention.

[0224] The electronic device can also obtain a reset command corresponding to the storage medium. The reset command corresponding to the storage medium is provided by the supplier. The reset commands corresponding to different storage media can be the same or different, and are not limited here.

[0225] In this case, the storage medium of the electronic device is a storage medium in which the corresponding firmware is written. The electronic device can respond to the reset command corresponding to the storage medium in which the corresponding firmware is written, thereby resetting the storage medium in which the corresponding firmware is written according to the reset command corresponding to the storage medium. The process of resetting the storage medium according to the reset command can be implemented in the existing technology and will not be described in detail in the embodiments of the present invention.

[0226] For the convenience of description, the above devices are described as various units and modules according to their functions. Of course, when implementing this application, the functions of each unit and module can be implemented in the same or multiple software and / or hardware.

[0227] Those skilled in the art will understand that, unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by those skilled in the art in the art to which the present invention pertains. It should also be understood that terms such as those defined in common dictionaries should be understood to have meanings consistent with those in the context of the prior art and, unless specifically defined, will not be interpreted in an idealized or overly formal sense.

[0228] For simplicity of description, the method embodiments are described as a series of actions. However, those skilled in the art should be aware that the embodiments of the present invention are not limited by the order of the actions described, because certain steps can be performed in other orders or simultaneously according to the embodiments of the present invention. Secondly, those skilled in the art should also be aware that the embodiments described in this specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0229] Through the description of the above embodiments, it can be seen that those skilled in the art can clearly understand that the present application can be implemented by means of software plus the necessary general hardware platform. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a storage medium such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments of the present application or certain parts of the embodiments.

[0230] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An electric vehicle energy consumption management system, characterized in that: The electric vehicle energy consumption management system includes: a vehicle status module, a geographical status module and a control status module; Vehicle status module, used to obtain vehicle power status information; Geographic status module, used to obtain vehicle geographic status information; Control status module, used to obtain control vehicle status information; Also included is a route planning module; Get destination information; The destination information is input into the route planning module, which is used to generate a driving route plan based on the vehicle power status information, vehicle geographical status information and vehicle control status information; The planning of the driving route includes setting a vehicle control strategy corresponding to the route under the geographical coordinates, or / and setting the route under the geographical coordinates corresponding to the vehicle control strategy.

2. The electric vehicle energy consumption management system according to claim 1, characterized in that: The vehicle status module includes: a power monitoring module, a power warning module and an emergency energy-saving module; Power monitoring module, used to monitor the power consumption status of the vehicle; The monitoring of the vehicle's power consumption status includes obtaining information on the vehicle's power consumption status based on vehicle performance, road conditions, weather conditions, and operating conditions; Power warning module, used to warn of low power status; The warning of insufficient battery state includes planning the driving route based on the vehicle's battery consumption state and warning of the risk of insufficient battery; Emergency energy-saving module, used to reduce vehicle power consumption; The reducing of the vehicle's power consumption includes introducing a preset control strategy based on the risk of insufficient power warning to reduce the risk of implementing the driving route planning.

3. The electric vehicle energy consumption management system according to claim 2, characterized in that: The geographic status module includes: Mark the geographical coordinates of the departure, destination and transit points; It also includes, based on geographic coordinates, the function and status of the places passed by on the driving route; It also includes, based on geographic coordinates, marking the road condition status of the path between the geographic coordinates of the departure point, destination and transit points; It also includes road and weather conditions based on geographic coordinates.

4. The electric vehicle energy consumption management system according to claim 3, characterized in that: The geographic status module includes: a charging recommendation module; Based on geographic coordinates, the standard functions and status of the places passed by on the driving route, and the charging recommendation module are used to mark the location of charging stations and charging service functions; It also includes the service content status of the charging service function and the redundancy status of the charging service resources.

5. The electric vehicle energy consumption management system according to claim 4, characterized in that: The control state module includes: Based on the historical information of vehicle operation, obtain the operation habit information; The information of the control status module and the information of the geographic status module are input into the power monitoring module to obtain the information of the vehicle power consumption status; in, Acquire information about the control status based on the control habit information and input it into the power monitoring module; Dynamically update road and weather status labels based on the time duration of vehicle geographic coordinate changes; Dynamically update the function and status of the places passed by based on the time duration of the vehicle's geographic coordinate changes; Based on the dynamically updated annotations, the information of the geographic status module is input into the power monitoring module.

6. The electric vehicle energy consumption management system according to claim 5, characterized in that: The inputting of the destination information into the route planning module for generating a driving route plan based on the vehicle power status information, the vehicle geographic status information, and the vehicle control status information includes: Obtain target information for the planned driving route; The target information of the planned driving route includes controlling the path of the planned driving route based on the goals of time efficiency, energy utilization, driving safety, driving experience that conforms to driving habits, and / or travel purpose; in, The controlling of the path of the planned driving route includes generating a warning of insufficient power risk by a power warning module corresponding to the path of the planned driving route; Based on the warning of insufficient power risk, the preset control strategy in the emergency energy-saving module is triggered.

7. A method for managing energy consumption of an electric vehicle, characterized in that: The electric vehicle energy consumption management method includes: a vehicle status module, a geographical status module and a control status module; Get vehicle power status information; Obtain vehicle geographic status information; Obtaining vehicle status information; Based on the destination information, the driving route plan is generated according to the vehicle power status information, vehicle geographical status information and vehicle control status information; The planning of the driving route includes setting a vehicle control strategy corresponding to the route under the geographical coordinates, or / and setting the route under the geographical coordinates corresponding to the vehicle control strategy.

8. An electronic device, characterized in that: include: A processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus; The memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the electric vehicle energy consumption management method as claimed in claim 7.

9. A computer-readable storage medium, characterized in that A computer program executable by an electronic device is stored. When the computer program is run on the electronic device, the electronic device executes the steps of the electric vehicle energy consumption management method as claimed in claim 7.

10. A vehicle platform, characterized in that: include: An electronic device for implementing the steps of the electric vehicle energy consumption management method as claimed in claim 7; a processor, wherein the processor runs a program, and when the program runs, the steps of the electric vehicle energy consumption management method according to claim 7 are executed based on data outputted from the electronic device; The storage medium is used to store a program, and when the program is running, it executes the steps of the electric vehicle energy consumption management method as claimed in claim 7 for the data output from the electronic device.

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