Vehicle energy consumption management architecture, application method and equipment
By configuring the eFUSE chip on the domain controller and combining it with edge computing and cloud analytics, the challenges of vehicle energy consumption monitoring and fault diagnosis have been solved, enabling continuous optimization of energy consumption and cost reduction, and improving system maintainability.
Patent Information
- Application Number
- CN202511171522.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-20
- Publication Date
- 2025-11-18
AI Technical Summary
In existing technologies, vehicle domain controllers lack real-time, continuous monitoring of parameters such as current and voltage, making it difficult to effectively evaluate power distribution design, increasing energy consumption and the difficulty of fault diagnosis, and raising maintenance costs.
The eFUSE chip is used to monitor energy consumption data in real time on the domain controller, and energy allocation assessment and optimization strategies are realized through edge computing and cloud analysis, including data collection, integration and analysis at the sensing end, edge end and cloud.
It enables real-time monitoring and optimized management of vehicle energy consumption, reduces system costs, enhances maintainability, and improves fault diagnosis efficiency.
Smart Images
Figure CN120963564A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of automotive electronics, vehicle energy management and intelligent monitoring, and in particular to a vehicle energy consumption management architecture, an application method and equipment. BACKGROUND
[0002] With the development of centralized and domain control of automotive electronic and electrical architecture, the number of domain controllers and the electrical equipment they manage has increased dramatically, and the power consumption of the vehicle has also increased.
[0003] Current power distribution protection schemes rely on discrete fuses and relays. Such schemes often lack real-time and continuous monitoring of parameters such as current and voltage of the I / O interface of the domain controller under all operating conditions, which may result in ineffective evaluation of existing power distribution designs, difficulty in quantifying actual energy consumption under different operating conditions, and difficulty in continuously optimizing and reducing vehicle energy consumption. At the same time, when a vehicle fails, the lack of accurate monitoring data makes fault location more time-consuming and fault diagnosis more difficult. Therefore, it is difficult to manage dynamic energy consumption, which increases maintenance costs and affects user experience. SUMMARY
[0004] Therefore, the present application provides a vehicle energy consumption management architecture, an application method and equipment, which can monitor the energy consumption of vehicle electrical equipment in real time, and obtain targeted optimization management strategies through cloud evaluation and analysis, thereby continuously optimizing vehicle energy consumption, reducing system cost, and enhancing maintainability.
[0005] In a first aspect, a vehicle energy consumption management architecture is provided, comprising:
[0006] a perception end, the perception end comprising an eFUSE chip configured on a domain controller of the vehicle, the eFUSE chip being configured to collect monitoring data, the monitoring data comprising energy consumption data of electrical equipment connected to each input / output interface of the domain controller;
[0007] an edge end, the edge end comprising the domain controller and a central computing unit, the domain controller being configured to obtain the monitoring data reported by the perception end and send the monitoring data to the central computing unit, and the central computing unit being configured to integrate the monitoring data sent by each domain controller to obtain summary data;
[0008] a cloud end, the cloud end obtaining the summary data uploaded by the central computing unit and analyzing and processing the summary data to evaluate whether the energy consumption distribution of the electrical equipment connected to each input / output interface of the domain controller meets the requirements, and obtaining an energy consumption optimization strategy according to the analysis result.
[0009] Further, the domain controller, after obtaining the monitoring data reported by the perception end, performs aggregation and packaging processing on the monitoring data to obtain a monitoring data package, and sends the monitoring data package to the central computing unit.
[0010] Further, the central computing unit is integrated with a vehicle networking module, and the central computing unit, after obtaining the monitoring data package sent by the domain controller, performs integration operation on the monitoring data package sent by each domain controller in the vehicle, and uploads the aggregated data to the cloud through the vehicle networking module.
[0011] Further, the cloud is configured to perform dynamic comparative analysis on each data in the aggregated data and a preset design value or a reference data curve to obtain analysis content, wherein the analysis content represents whether the energy consumption distribution of the electrical equipment connected to each input / output interface of the domain controller meets the requirements.
[0012] Further, the analysis content includes part or all of the following:
[0013] power distribution rationality evaluation result;
[0014] driving capability evaluation result;
[0015] harness size optimization potential evaluation result;
[0016] abnormal working condition identification result.
[0017] Further, the cloud is further configured to associate the analysis content with a fault mode library to perform fault analysis.
[0018] Further, the cloud is further configured to feed back the analysis content and the energy consumption optimization strategy to the vehicle manufacturer, so that the vehicle manufacturer performs optimization processing on the vehicle.
[0019] Further, the energy consumption optimization strategy includes part or all of the following:
[0020] vehicle model design optimization strategy;
[0021] range and charging strategy optimization strategy;
[0022] dynamic power consumption management upgrade strategy;
[0023] predictive maintenance strategy.
[0024] In a second aspect, an application method of an energy consumption management architecture of a vehicle is provided, the energy consumption management architecture including a perception end, an edge end and a cloud end, and the application method includes:
[0025] collecting monitoring data based on the eFUSE chip configured on the domain controller of the vehicle at the perception end, wherein the monitoring data comprises energy consumption data of the powered devices connected to each input / output interface of the domain controller;
[0026] obtaining the monitoring data reported by the perception end based on the domain controller at the edge end, sending the monitoring data to the central computing unit, and integrating the monitoring data sent by each domain controller by using the central computing unit to obtain summary data;
[0027] obtaining the summary data uploaded by the central computing unit based on the cloud, analyzing and processing the summary data to evaluate whether the energy consumption distribution of the powered devices connected to each input / output interface of the domain controller meets the requirements, and obtaining an energy consumption optimization strategy according to the analysis result.
[0028] In a third aspect, a vehicle is provided, comprising: an application method of the energy consumption management architecture of the vehicle according to the second aspect described above.
[0029] According to the embodiments of the present application, first, monitoring data is collected based on the eFUSE chip configured on the domain controller of the vehicle at the perception end, wherein the monitoring data comprises energy consumption data of the powered devices connected to each input / output interface of the domain controller; second, the monitoring data reported by the perception end is obtained based on the domain controller at the edge end, the monitoring data is sent to the central computing unit, and the monitoring data sent by each domain controller is integrated by using the central computing unit to obtain summary data; finally, the summary data uploaded by the central computing unit is obtained based on the cloud, and the summary data is analyzed and processed to evaluate whether the energy consumption distribution of the powered devices connected to each input / output interface of the domain controller meets the requirements, and an energy consumption optimization strategy is obtained according to the analysis result. Therefore, the energy consumption of the powered devices of the vehicle can be monitored in real time, and through cloud evaluation and analysis, a targeted optimization management strategy is obtained, thereby realizing continuous optimization of the overall vehicle energy consumption, further reducing system cost, and enhancing maintainability. BRIEF DESCRIPTION OF DRAWINGS
[0030] Other features, objects, and advantages of the present application will become more apparent from the following detailed description of non-limiting embodiments made with reference to the accompanying drawings:
[0031] Figure 1 a schematic diagram of the energy consumption management architecture of the vehicle provided by the embodiments of the present application;
[0032] Figure 2 a schematic diagram of the energy consumption management architecture of the vehicle provided by the embodiments of the present application;
[0033] Figure 3 a schematic diagram of the eFUSE controllable interface distribution of the domain controller provided by the embodiments of the present application;
[0034] Figure 4 A flowchart illustrating the application method of the vehicle energy management architecture provided in this application embodiment;
[0035] Figure 5 This is a structural block diagram of a computer device provided in an embodiment of this application. Detailed Implementation
[0036] The present application will now be described in further detail with reference to the embodiments and accompanying drawings. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the application. Furthermore, it should be noted that, for ease of description, only the parts relevant to the application are shown in the accompanying drawings.
[0037] It should be noted that, unless otherwise specified, the embodiments and features of the embodiments in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.
[0038] The energy management architecture, application method, and device of a vehicle according to embodiments of this application are described in detail below with reference to the accompanying drawings.
[0039] Figure 1 This is a schematic diagram of a vehicle energy management architecture according to one embodiment of this application. Figure 1 As shown, a vehicle energy management architecture according to one embodiment of this application includes: a sensing terminal 110, an edge terminal 120, and a cloud terminal 130, wherein:
[0040] Sensing terminal 110: The sensing terminal includes an eFUSE chip configured on the domain controller of the vehicle. The eFUSE chip is used to collect monitoring data, which includes energy consumption data of electrical equipment connected to each input / output interface of the domain controller.
[0041] The eFUSE chip is a programmable chip with integrated high-precision current / voltage detection capabilities, enabling continuous and high-precision sampling and calculation of interface parameters. A schematic diagram showing the interface distribution controllable by an eFUSE chip for a specific domain controller is shown below. Figure 3 As shown.
[0042] Combination Figure 2 As shown, for each domain controller I / O interface, a programmable eFUSE chip of the corresponding specification is designed and configured at the I / O interface of each domain controller to continuously monitor the energy consumption data of the electrical equipment connected to the corresponding domain controller I / O interface. The data includes, but is not limited to, real-time current, voltage, instantaneous power, etc.
[0043] In a specific example, alarm thresholds, such as overcurrent warnings and undervoltage warnings, can also be configured on the eFUSE chip to provide timely abnormal warnings when the detected data exceeds the threshold.
[0044] Edge terminal 120: The edge terminal includes the domain controller and the central computing unit. The domain controller is used to obtain the monitoring data reported by the sensing terminal and send the monitoring data to the central computing unit. The central computing unit is used to integrate the monitoring data sent by each domain controller to obtain summary data.
[0045] In one embodiment of this application, after obtaining the monitoring data reported by the sensing terminal, the domain controller summarizes and packages the monitoring data to obtain a monitoring data packet, and sends the monitoring data packet to the central computing unit.
[0046] Specifically, combined Figure 2 As shown, the domain controller periodically collects monitoring data reported by the eFUSE chips of all sensing terminals within its jurisdiction through the vehicle bus, summarizes and packages the monitoring data to obtain monitoring data packets, and finally sends them to the central computing unit through the vehicle network.
[0047] In one embodiment of this application, the central computing unit integrates a vehicle networking module. After receiving the monitoring data packets sent by the domain controller, the central computing unit integrates the monitoring data packets sent by each domain controller in the vehicle and uploads the aggregated data to the cloud through the vehicle networking module.
[0048] Specifically, combined Figure 2 As shown, after the central computing unit receives the monitoring data packets sent by all domain controllers through the vehicle network, it integrates all the data to obtain the vehicle-level summary data. Then, it uploads the vehicle-level data to the cloud through the vehicle networking module for analysis and processing.
[0049] Cloud: 130: The cloud obtains the aggregated data uploaded by the central computing unit, and analyzes and processes the aggregated data to evaluate whether the energy consumption allocation of the electrical equipment connected to each input / output interface of the domain controller meets the requirements, and obtains an energy consumption optimization strategy based on the analysis results.
[0050] In one embodiment of this application, the cloud is used to dynamically compare and analyze each data in the aggregated data with a preset design value or a benchmark data curve to obtain analysis content, wherein the analysis content characterizes whether the energy consumption distribution of the electrical equipment connected to each input / output interface of the domain controller meets the requirements.
[0051] In a specific example, AI / ML algorithms can also be used to improve the accuracy of dynamic comparative analysis. By training an AI / ML model based on historical energy consumption data, it is possible to accurately capture the changing trends of each parameter in the aggregated data and the correlation between the parameters, thereby making the energy consumption allocation assessment more accurate.
[0052] In one embodiment of this application, the analysis includes some or all of the following: power distribution rationality assessment results; drive capability assessment results; harness size optimization potential assessment results; abnormal operating condition identification results.
[0053] Among them, the power distribution rationality assessment is used to determine whether the eFUSE chip selection is excessive or insufficient; the drive capability assessment is used to determine whether the I / O drive circuit is working in the optimal state; the wire harness size optimization potential assessment is used to determine whether there is an over-designed wire diameter due to eFUSE protection; and the abnormal operating condition identification is used to identify frequent alarms and parameter drift phenomena.
[0054] In one embodiment of this application, the cloud is further used to associate the analysis content with a fault mode library for fault analysis.
[0055] Specifically, the cloud will match the analysis of the aggregated data with the typical fault characteristics and fault types pre-stored in the fault mode library, thereby quickly locating the hardware or software faults that may be behind the abnormal energy consumption problem, which can improve the reliability and efficiency of fault diagnosis.
[0056] In one embodiment of this application, the cloud is also used to feed back the analysis content and the energy consumption optimization strategy to the vehicle manufacturer so that the vehicle manufacturer can optimize the vehicle.
[0057] In one embodiment of this application, the energy consumption optimization strategy includes some or all of the following: vehicle design optimization strategy; range and charging strategy optimization strategy; dynamic power consumption management upgrade strategy; predictive maintenance strategy.
[0058] Among these, vehicle design optimization strategies can precisely adjust eFUSE chip specifications, optimize I / O drive circuit design, and reduce wiring harness cross-sectional area, thereby significantly reducing the overall vehicle BOM cost and weight; range and charging strategy optimization can provide more reliable range predictions and better charging solutions based on more accurate energy consumption models; dynamic power consumption management upgrade strategies can provide more accurate data for load grading, power supply and demand strategies, and predictive maintenance strategies can identify potential early fault trends, thereby providing early warnings.
[0059] According to the vehicle energy management architecture of this invention, firstly, monitoring data is collected based on the eFUSE chip configured on the vehicle's domain controller at the sensing end. This monitoring data includes energy consumption data of electrical devices connected to each input / output interface of the domain controller. Secondly, the domain controller at the edge receives the monitoring data reported by the sensing end and sends it to the central computing unit. The central computing unit then integrates the monitoring data sent by each domain controller to obtain aggregated data. Finally, the aggregated data uploaded by the central computing unit is obtained from the cloud and analyzed to assess whether the energy consumption allocation of the electrical devices connected to each input / output interface of the domain controller meets the requirements. Based on the analysis results, an energy consumption optimization strategy is derived. Therefore, the energy consumption of vehicle electrical devices can be monitored in real time, and targeted optimization management strategies can be obtained through cloud-based evaluation and analysis, thereby achieving continuous optimization of the vehicle's energy consumption, reducing system costs, and enhancing maintainability.
[0060] Figure 4 This is a flowchart illustrating an application method for a vehicle energy management architecture according to an embodiment of this application. Figure 4 As shown, the application method of a vehicle energy management architecture according to an embodiment of this application includes the following steps:
[0061] S401: Based on the eFUSE chip configured on the domain controller of the vehicle, the sensing end collects monitoring data, wherein the monitoring data includes energy consumption data of electrical equipment connected to each input / output interface of the domain controller;
[0062] S402: The domain controller at the edge obtains the monitoring data reported by the sensing end, sends the monitoring data to the central computing unit, and uses the central computing unit to integrate the monitoring data sent by each domain controller to obtain summary data.
[0063] S403: Obtain the aggregated data uploaded by the central computing unit based on the cloud, and analyze and process the aggregated data to evaluate whether the energy consumption allocation of the electrical equipment connected to each input / output interface of the domain controller meets the requirements, and obtain an energy consumption optimization strategy based on the analysis results.
[0064] According to the application method of the vehicle energy consumption management architecture according to the embodiments of this application, firstly, monitoring data is collected based on the eFUSE chip configured on the domain controller of the vehicle at the sensing end. The monitoring data includes energy consumption data of electrical devices connected to each input / output interface of the domain controller. Secondly, the domain controller at the edge obtains the monitoring data reported by the sensing end and sends it to the central computing unit. The central computing unit then integrates the monitoring data sent by each domain controller to obtain aggregated data. Finally, the aggregated data uploaded by the central computing unit is obtained from the cloud and analyzed to assess whether the energy consumption allocation of electrical devices connected to each input / output interface of the domain controller meets the requirements. Based on the analysis results, an energy consumption optimization strategy is obtained. Therefore, the energy consumption of vehicle electrical devices can be monitored in real time, and targeted optimization management strategies can be obtained through cloud-based evaluation and analysis, thereby achieving continuous optimization of the vehicle's energy consumption, reducing system costs, and enhancing maintainability.
[0065] Specific limitations regarding the application methods of the vehicle energy management architecture can be found in the limitations of the vehicle energy management architecture described above, and will not be repeated here. Each module of the above-described vehicle energy management architecture application method can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.
[0066] The following is for reference. Figure 5 , Figure 5 A schematic diagram of a computer device structure suitable for implementing embodiments of this application is shown.
[0067] like Figure 5 As shown, the computer system 1000 includes a central processing unit (CPU) 1001, which can perform various appropriate actions and processes based on programs stored in read-only memory (ROM) 1002 or programs loaded from storage section 1008 into random access memory (RAM) 1003. The RAM 1003 also stores various programs and data required for the system's operating instructions. The CPU 1001, ROM 1002, and RAM 1003 are interconnected via a bus 1004. An input / output (I / O) interface 1005 is also connected to the bus 1004.
[0068] The following components are connected to I / O interface 1005: an input section 1006 including a keyboard, mouse, etc.; an output section 1007 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 1008 including a hard disk, etc.; and a communication section 1009 including a network interface card such as a LAN card, modem, etc. The communication section 1009 performs communication processing via a network such as the Internet. A drive 1010 is also connected to I / O interface 1005 as needed. A removable medium 1011, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 1010 as needed so that computer programs read from it can be installed into storage section 1008 as needed.
[0069] Specifically, according to embodiments of this application, the flowchart above refers to... Figure 4 The described process can be implemented as a computer-readable storage medium. For example, embodiments of this application include a computer-readable storage medium comprising a computer program containing program code for performing the methods shown in the flowchart, such as: collecting monitoring data based on the eFUSE chip configured on the domain controller of the vehicle at the sensing end, wherein the monitoring data includes energy consumption data of electrical devices connected to each input / output interface of the domain controller; obtaining the monitoring data reported by the sensing end based on the domain controller at the edge end, sending the monitoring data to a central computing unit, and using the central computing unit to integrate the monitoring data sent by each domain controller to obtain summary data; obtaining the summary data uploaded by the central computing unit based on the cloud, and analyzing and processing the summary data to evaluate whether the energy consumption allocation of the electrical devices connected to each input / output interface of the domain controller meets the requirements, and obtaining an energy consumption optimization strategy based on the analysis results.
[0070] Specifically, according to embodiments of this application, the flowchart above refers to... Figure 4The described process can be implemented as a computer software program. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowchart, such as performing: collecting monitoring data based on the eFUSE chip configured on the domain controller of the vehicle at the sensing end, wherein the monitoring data includes energy consumption data of electrical devices connected to each input / output interface of the domain controller; obtaining the monitoring data reported by the sensing end based on the domain controller at the edge end, sending the monitoring data to the central computing unit, and using the central computing unit to integrate the monitoring data sent by each domain controller to obtain summary data; obtaining the summary data uploaded by the central computing unit based on the cloud, and analyzing and processing the summary data to evaluate whether the energy consumption allocation of the electrical devices connected to each input / output interface of the domain controller meets the requirements, and obtaining an energy consumption optimization strategy based on the analysis results.
[0071] In such an embodiment, the computer program includes program code for performing the methods shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via communication section 1009, and / or installed from removable media 1011. When the computer program is executed by central processing unit (CPU) 1001, it performs the functions defined in the system of this application.
[0072] It should be noted that the computer-readable medium shown in this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.
[0073] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operational instructions of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two connected blocks may actually be executed substantially in parallel, or they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified functions or operational instructions, or using a combination of dedicated hardware and computer instructions.
[0074] The units or modules described in the embodiments of this application can be implemented in software or hardware. The described units or modules can also be located in a processor. The names of these units or modules do not, in certain circumstances, constitute a limitation on the unit or module itself.
[0075] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0076] The above embodiments merely illustrate several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.
Claims
1. A vehicle energy consumption management architecture, characterized in that, include: The sensing end includes an eFUSE chip configured on the domain controller of the vehicle. The eFUSE chip is used to collect monitoring data, which includes energy consumption data of electrical equipment connected to each input / output interface of the domain controller. The edge terminal includes the domain controller and the central computing unit. The domain controller is used to obtain the monitoring data reported by the sensing terminal and send the monitoring data to the central computing unit. The central computing unit is used to integrate the monitoring data sent by each domain controller to obtain summary data. The cloud receives aggregated data uploaded by the central computing unit and analyzes and processes the aggregated data to assess whether the energy consumption allocation of the electrical equipment connected to each input / output interface of the domain controller meets the requirements, and obtains an energy consumption optimization strategy based on the analysis results.
2. The vehicle energy management architecture according to claim 1, characterized in that, After receiving the monitoring data reported by the sensing terminal, the domain controller summarizes and packages the monitoring data to obtain a monitoring data packet, and then sends the monitoring data packet to the central computing unit.
3. The vehicle energy management architecture according to claim 2, characterized in that, The central computing unit integrates a vehicle networking module. After receiving the monitoring data packets sent by the domain controller, the central computing unit integrates the monitoring data packets sent by each domain controller in the vehicle and uploads the aggregated data to the cloud through the vehicle networking module.
4. The vehicle energy management architecture according to claim 1, characterized in that, The cloud platform is used to dynamically compare and analyze each data point in the aggregated data with preset design values or benchmark data curves to obtain analysis content. The analysis content characterizes whether the energy consumption distribution of the electrical equipment connected to each input / output interface of the domain controller meets the requirements.
5. The vehicle energy management architecture according to claim 4, characterized in that, The analysis includes some or all of the following: Results of power distribution rationality assessment; Drive capability assessment results; Results of the assessment of the potential for wire harness size optimization; Abnormal operating condition identification results.
6. The energy management architecture for vehicles according to claim 5, characterized in that, The cloud platform is also used to associate the analyzed content with a fault mode library for fault analysis.
7. The energy management architecture for vehicles according to claim 1, characterized in that, The cloud platform is also used to feed back the analysis content and the energy consumption optimization strategy to the vehicle manufacturer so that the vehicle manufacturer can optimize the vehicle.
8. The vehicle energy management architecture according to claim 7, characterized in that, The energy consumption optimization strategy includes some or all of the following: Vehicle design optimization strategies; Optimization strategies for driving range and charging; Dynamic power consumption management upgrade strategy; Predictive maintenance strategy.
9. A method for applying a vehicle energy consumption management architecture, characterized in that, The energy management architecture includes a sensing end, an edge end, and a cloud end, and the application method includes: Monitoring data is collected based on the eFUSE chip configured on the domain controller of the vehicle based on the sensing end, wherein the monitoring data includes the energy consumption data of the electrical equipment connected to each input / output interface of the domain controller; The domain controller at the edge obtains the monitoring data reported by the sensing end, sends the monitoring data to the central computing unit, and uses the central computing unit to integrate the monitoring data sent by each domain controller to obtain summary data. Based on the summary data uploaded by the central computing unit obtained from the cloud, the summary data is analyzed and processed to evaluate whether the energy consumption allocation of the electrical equipment connected to each input / output interface of the domain controller meets the requirements, and an energy consumption optimization strategy is obtained based on the analysis results.
10. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the application method of the energy management architecture of the vehicle according to any one of claims 1-6.