An automobile abnormal electric appliance identification method and system
By calculating the minimum difference between theoretical and actual current values and using big data analysis, combined with neural networks to identify abnormal electrical appliances, the problem of inaccurate location of electrical appliances after locking the vehicle was solved. This enabled point-to-point power disconnection, avoiding battery power consumption and improving the reliability of normal vehicle use.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HEFEI CHANGAN AUTOMOBILE
- Filing Date
- 2023-09-28
- Publication Date
- 2026-07-21
Smart Images

Figure CN117284222B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the automotive field, and more specifically to a method and system for identifying abnormal electrical appliances in automobiles. Background Technology
[0002] With the development of intelligent connected vehicles, people have increasingly higher requirements for vehicle safety and ride comfort. Various automotive electrical appliances have emerged, enabling car batteries to not only provide traditional starting, ignition, and lighting functions, but also serve as a power source for various vehicle loads. The increase in automotive electrical appliances has led to an increase in vehicle static current and the incidence of malfunctions. In particular, abnormal operation of electrical appliances after the car is locked can easily cause rapid battery depletion, affecting normal vehicle use.
[0003] Chinese Patent Publication No. CN111619473A discloses a static power management system and method for automobiles. A battery sensor is connected to the body controller via a LIN cable. The body controller controls the opening and closing of relays. The body controller is connected to a gateway controller via a CAN cable, and the gateway controller is connected to a HU controller via a CAN cable. The HU controller communicates wirelessly with a backend server. After the vehicle is powered off, controllers that have not entered sleep mode within the specified time are reset, aiming to put all controllers on the vehicle network into sleep mode. This patent application enables electrical appliances to enter sleep mode after the vehicle is powered off, but it cannot identify appliances that malfunction after the vehicle is locked. Chinese Patent Publication No. CN114684046A discloses a power management system for abnormal vehicle states. It uses cloud-based big data to locate abnormal component controllers and executes a power-off strategy on the local power relays of those component controllers. It checks if the problem can be resolved; if not, it disconnects the entire vehicle's power relays to prevent battery drain. However, this patent application only detects abnormal component controllers and cannot accurately locate appliances that malfunction after the vehicle is locked, thus failing to disconnect the power to these appliances point-to-point. This leads to rapid battery depletion and affects normal vehicle use. Summary of the Invention
[0004] The technical problem to be solved by the present invention is that the existing automotive power management system cannot accurately locate electrical appliances that are malfunctioning after the car is locked, thus failing to disconnect the power supply of the malfunctioning electrical appliances point-to-point, affecting normal vehicle use.
[0005] This invention solves the above-mentioned technical problems through the following technical means: a method for identifying abnormal electrical appliances in a car, comprising the following steps:
[0006] Step 1) After the vehicle is locked, it enters sleep mode and checks the battery status;
[0007] Step 2) Determine if the battery current is greater than the preset static current. If so, proceed to step 3).
[0008] Step 3) Number each appliance sequentially and obtain the corresponding theoretical current value I based on different combinations of abnormal power consumption by the appliances. x Calculate each theoretical current value I x The minimum value of the absolute difference between the theoretical current value and the actual current value, f(x)min; where the theoretical current value I x In the middle, x is the cumulative value of the numbers of the electrical appliances that have abnormal power consumption;
[0009] Step 4) Obtain the theoretical current value corresponding to f(x)min;
[0010] Step 5) Convert the theoretical current value x obtained in Step 4) into a binary number. Each bit of the binary number reflects the working status of the electrical appliance. Based on the binary number, identify the abnormal electrical appliance.
[0011] Furthermore, the preset static current refers to a preset multiple of the vehicle's static current.
[0012] Furthermore, the process after step 2) and before step 3) also includes:
[0013] Step a1: The car includes the body domain, chassis domain, power domain, entertainment cockpit domain, and intelligent driving domain. Disconnect the power supply to the body domain, chassis domain, and power domain, and determine whether the static current has returned to normal. If yes, proceed to step a2; otherwise, proceed to step a3.
[0014] Step a2: Disconnect the power supply of the vehicle body domain and chassis domain, turn on the power supply of the power domain, and determine whether the static current has returned to normal. If yes, proceed to step a4; otherwise, proceed to step a5.
[0015] Step a3: Disconnect the power supply to the entertainment cockpit area and determine whether the static current has returned to normal. If yes, proceed to step a6; otherwise, proceed to step a7.
[0016] Step a4: Disconnect the vehicle body domain power supply, turn on the chassis domain power supply and power domain power supply, and determine whether the static current has returned to normal. If yes, proceed to step a8; otherwise, proceed to step a9.
[0017] Step a5: Identify electrical appliances in the power domain that are in abnormal condition;
[0018] Step a6: Identify any electrical appliances in the entertainment cabin area that are malfunctioning;
[0019] Step a7: Identify electrical appliances with abnormal status in the intelligent driving domain;
[0020] Step a8: Identify electrical appliances with abnormal status in the vehicle body area;
[0021] Step a9: Identify electrical appliances with abnormal status in the chassis area.
[0022] Further, step 3) includes:
[0023] The formula f(x)min=min|I x -I t | Calculate the minimum absolute value of the difference between the theoretical current value and the actual current value, where I x The theoretical current value of the electrical appliances in the vehicle and I x =i0+w1i1+w2i2+、、、+w n i n i0 is the design value of the vehicle's static current, i n Let w1, w2, ..., w be the actual operating current of the nth electrical appliance. n Each of these represents a Boolean variable corresponding to a different appliance, with x values of w1, w2, ..., w... n The decimal numbers corresponding to 0 or 1 represent the accumulated values of the appliance numbers indicating abnormal power consumption; I t Let t be the total vehicle current.
[0024] Furthermore, the formula for the theoretical current value of the vehicle's electrical components is constructed using a neural network, where i0, i1, ..., i n The inputs are respectively fed into each input neuron of the neural network, I x As the output of the output neurons of the neural network, w1, w2, ..., w n i0, i1, ..., i1 are used as connection parameters between each input neuron and the output neuron of the neural network, respectively. n I is obtained directly from each input neuron of the neural network. x .
[0025] Furthermore, step 5) is followed by:
[0026] Step 6) Disconnect the power supply to the malfunctioning appliance or the area to which the malfunctioning appliance belongs, and send a notification message to the user.
[0027] Furthermore, step 2) is followed by:
[0028] Step 7) Determine whether the battery current is greater than the preset static current. If not, determine whether the battery capacity is less than the set threshold. If yes, proceed to step 8); otherwise, return to step 1.
[0029] Step 8) Charge the battery according to the vehicle charging logic.
[0030] This invention also provides a system for identifying abnormal electrical components in a vehicle, including a battery, a battery sensor, a body controller, a TBOX, and a smart fuse box.
[0031] The battery sensor is connected to the battery, detects the battery charge, voltage, and current, and sends the data to the vehicle body controller.
[0032] The body controller is connected to the battery sensor and the TBOX, and forwards the received battery power, voltage and current information to the TBOX.
[0033] The TBOX periodically sends information about the vehicle's battery power, voltage, and current to the cloud.
[0034] The cloud executes the above-described method for identifying abnormal electrical appliances in a vehicle, identifies the abnormal electrical appliance, generates an operation execution command, and sends the operation execution command to the vehicle end through the TBOX and the body controller.
[0035] The intelligent fuse box is connected to the CAN bus of the vehicle controller and is connected to the vehicle body domain, chassis domain, powertrain domain, entertainment cockpit domain, and intelligent driving domain through internal fuses. It controls the power supply of each domain according to the calculation execution instructions sent by the vehicle controller and shuts down electrical appliances that are malfunctioning after the vehicle is locked.
[0036] Furthermore, the negative terminal of the battery is connected to a battery sensor, and the positive terminal of the battery is output via a smart fuse box to the corresponding vehicle electrical components in the body domain, chassis domain, power domain, entertainment cockpit domain, and intelligent driving domain.
[0037] Furthermore, the body controller is connected to the battery sensor via a LIN cable and to the TBOX and smart fuse box via a CAN cable. It sends vehicle current data that exceeds the normal range to the cloud via the TBOX for identification of abnormal electrical appliances, and sends the corresponding calculation and execution instructions for power on / off interaction data to the smart fuse box to control the power on / off of the body domain, chassis domain, power domain, entertainment cockpit domain, intelligent driving domain, etc. At the same time, it issues vehicle charging and shutdown commands based on the power level.
[0038] Furthermore, the TBOX is the communication interface between the vehicle network and the cloud. It uploads the vehicle current data that exceeds the normal range from the body controller to the cloud, sends the cloud calculation results back to the vehicle network, and sends the abnormal appliance prompt information and charging results to the user through the cloud server. The abnormal prompt information includes the abnormal appliance, the power on / off control result, the battery level, and whether charging is required.
[0039] Furthermore, the intelligent fuse box is connected to the CAN bus of the body controller. The positive terminal of the battery is connected to the hard wires of the body domain, chassis domain, power domain, entertainment cockpit domain, and intelligent driving domain through the internal switches and fuses of the intelligent fuse box, and controls the power supply of each domain according to the instructions of the body controller.
[0040] Furthermore, the power consumption status of the vehicle body domain, chassis domain, powertrain domain, entertainment cockpit domain, and intelligent driving domain is represented by bits 0 to 4, where 1 indicates on and 0 indicates off. Bits 5 to 7 are reserved for expansion as needed. When it is necessary to switch the status of each domain, the cloud obtains the binary values represented by bits 0 to 7 of each domain, converts them into hexadecimal values, and sends them to the vehicle body controller. The smart fuse box receives the converted binary values from the vehicle body controller and controls the start and stop of the electrical appliances in each domain according to the binary values.
[0041] The advantages of this invention are:
[0042] (1) This invention calculates the minimum absolute value of the difference between the theoretical current value and the actual current value, and then obtains the theoretical current value of the electrical appliances in the vehicle. Based on the theoretical current value of the electrical appliances in the vehicle, a decimal number x representing the state of the electrical appliance is obtained. After converting it into binary, each bit of the binary number can reflect the working state of the electrical appliance, thereby accurately locating the electrical appliance that is abnormally working after locking the vehicle, disconnecting the power supply of the abnormal electrical appliance point by point, avoiding rapid consumption of battery power, and avoiding affecting normal vehicle use.
[0043] (2) Without increasing the vehicle's hardware configuration, the present invention accurately locates the malfunctioning electrical appliances through big data analysis, breaking through the limitations of previous solutions that simply charge the battery or disconnect the vehicle's power supply. This solves the problem of vehicle power loss and improves the efficiency of after-sales maintenance. After the malfunctioning electrical appliance is locked, the power supply of the malfunctioning electrical appliance or the power supply of the area to which the malfunctioning electrical appliance belongs can be disconnected point-to-point, maintaining the normal function of the vehicle to the maximum extent and preventing the vehicle from continuing to consume energy and causing power loss.
[0044] (3) The present invention designs interactive data to control the power on and off of each domain. The vehicle body controller and the smart fuse box can control the power on and off of each domain through a single byte of hexadecimal numbers. It is feasible and easy to expand, and control bits can be added according to actual needs.
[0045] (4) This invention applies the concept of neural network to define the vehicle current and establishes the mathematical formula for the vehicle current, laying a mathematical foundation for big data analysis. The vehicle electrical appliances are grouped according to the platform architecture into body, chassis, power, entertainment cockpit, intelligent driving, etc. The golden section method of steps a1 to a9 is applied to initially determine the domain to which the abnormal electrical appliances belong, thereby improving the efficiency of big data analysis. Attached Figure Description
[0046] Figure 1 This is a diagram illustrating the architecture of an automotive abnormal electrical appliance identification system as disclosed in an embodiment of the present invention.
[0047] Figure 2This is a design diagram of the interaction data between the body controller and the smart protection box in an automotive abnormal electrical appliance identification system disclosed in an embodiment of the present invention;
[0048] Figure 3 This is a schematic diagram showing the correspondence between the control domain and the vehicle's electrical components in an automotive abnormal electrical component identification system disclosed in an embodiment of the present invention.
[0049] Figure 4 This is a neural network diagram of the vehicle current in an automotive abnormal electrical appliance identification system disclosed in an embodiment of the present invention;
[0050] Figure 5 The theoretical current value I in the method for identifying abnormal electrical appliances in a car disclosed in this embodiment of the invention. x A diagram illustrating the definition of the x-value;
[0051] Figure 6 This is a flowchart of a method for identifying abnormal electrical appliances in a car, as disclosed in an embodiment of the present invention.
[0052] Figure 7 The flowchart of the golden section method in the identification system of abnormal electrical appliances in automobiles disclosed in the embodiments of the present invention is shown. Detailed Implementation
[0053] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0054] like Figure 1 As shown, the present invention provides a system for identifying abnormal electrical appliances in a car, including a battery 100, a battery sensor 200, a body controller 300, a TBOX 400, and a smart fuse box 500.
[0055] The battery sensor 200 is connected to the negative terminal of the battery 100 and periodically detects the battery power, voltage, and current of the battery 100, sending the data to the body controller 300. The positive terminal of the battery 100 is output to the vehicle electrical components such as the body domain, chassis domain, power domain, entertainment cockpit domain, and intelligent driving domain via the intelligent fuse box 500.
[0056] The body controller 300 is connected to the battery sensor 200 and the TBOX 400. It forwards the received battery power, voltage, and current information from the battery 100 to the TBOX 400. Specifically, the body controller 300 is connected to the battery sensor 200 via a LIN cable and to the TBOX 400 and the smart fuse box 500 via a CAN cable. It sends vehicle current data exceeding the normal range to the cloud via the TBOX 400 for identification of abnormal electrical appliances. It sends the corresponding calculation and execution instructions for power on / off interaction data to the smart fuse box 500 to control the power on / off of the body domain, chassis domain, power domain, entertainment cockpit domain, and intelligent driving domain. At the same time, it issues vehicle charging and shutdown commands based on the battery power.
[0057] The cloud-based abnormal appliance identification method identifies abnormal appliances, generates calculation execution instructions, and sends the calculation execution instructions to the vehicle end through TBOX 400 and body controller 300.
[0058] The TBOX 400 is the communication interface between the vehicle network and the cloud. It uploads vehicle current data exceeding the normal range from the body controller 300 to the cloud, and sends the cloud calculation results back to the vehicle network. The cloud server then sends electrical appliance anomaly alerts and charging results to the user. The anomaly alerts include the malfunctioning appliance, the power on / off control result, the battery 100's charge level, and whether charging is required. The smart fuse box 500 is connected to the CAN bus of the body controller 300. The positive terminal of the battery 100 is connected via internal switches and fuses in the smart fuse box 500 to the hardwired connections for the body domain, chassis domain, powertrain domain, entertainment cockpit domain, and intelligent driving domain. Based on commands from the body controller 300, it controls the power supply to each domain, shutting down appliances that malfunction after the vehicle is locked.
[0059] Battery sensor 200, body controller 300, and TBOX 400 are connected to battery 100 for constant power.
[0060] like Figure 2 As shown, the power supply to each domain can be switched on and off through the design of data interaction between the body controller 300 and the smart fuse box 500. In this embodiment, bits 0 to 4 represent the states of the body domain, chassis domain, power domain, entertainment cockpit domain, and intelligent driving domain, respectively, with 1 indicating on and 0 indicating off. Bits 5 to 7 are reserved and can be expanded as needed. When it is necessary to disconnect the body domain, chassis domain, and power domain simultaneously, bits 0, 1, and 2 are set to 0, while bits 4 and 5 remain unchanged at 1. The corresponding hexadecimal number is 18, meaning that the smart fuse box 500 disconnects the power supply to the body domain, chassis domain, and power domain when it receives the corresponding byte data of 18 from the body controller 300.
[0061] like Figure 3 As shown, the electrical components of the vehicle are grouped and numbered according to the body domain, chassis domain, power domain, entertainment cockpit domain, and intelligent driving domain. During the project development phase, the operating current of all electrical components is statistically analyzed, and the static current value of the entire vehicle is determined by testing. A mapping relationship between the control domain and the electrical components of the vehicle, as well as a database of the operating current of the electrical components, are established.
[0062] like Figure 4 As shown, the mathematical expression for the vehicle's current is constructed using the concept of neural networks.
[0063] I x =i0+w1i1+w2i2+、、、+w n i n (1)
[0064] Among them, I x The theoretical current value i0 for the electrical components in the vehicle is the design value of the static current of the vehicle. n Let w1, w2, ..., w be the actual operating current of the nth electrical appliance. n Each of these represents a Boolean variable corresponding to a different appliance, with x values of w1, w2, ..., w... n The decimal numbers corresponding to setting 0 or 1 respectively
[0065] f(x)min=min|I x -I t |(x=0,1,2,,,,,2 n -1; I t (2) (where t is the total vehicle current)
[0066] like Figure 5 As shown, w1, w2, ..., w n When all w1 and w2 are 0, the corresponding x value is 0, I0 = i0; when w1 is 1, the corresponding x value is 1, I1 = i0 + i1; when w2 is 1, the corresponding x value is 2, I2 = i0 + i2; when both w1 and w2 are 1, the corresponding x value is 3, I3 = i0 + i1 + i2; w1, w2, ..., w n When both are 1, the corresponding x value is 2. n -1, I2 n -1 =i0+i1+i2+、、、+i n I t This refers to the vehicle current detected by battery sensor 200 at a certain moment, mainly indicating the abnormal current value at that moment. The corresponding I is obtained by calculating the min value of f(x). xThe value x is converted into a binary number. The electrical appliance corresponding to the position of 1 in the binary number is the abnormal electrical appliance. Then, the abnormal electrical appliance is identified through the mapping relationship of electrical appliances in the whole vehicle. For example, if there are 4 electrical appliances, the binary number obtained is 0010, then the second electrical appliance is abnormal. If the binary number obtained is 0111, then the first, second and third electrical appliances are all abnormal.
[0067] like Figure 6 As shown, the present invention also provides a method for identifying abnormal electrical appliances in a vehicle, comprising the following steps:
[0068] Step 1) After the vehicle is locked, it enters a sleep state. The battery sensor 200 periodically detects parameters such as battery charge (SOC), voltage, and current.
[0069] Step 2) Determine whether the current of the battery 100 is greater than twice the static current of the vehicle. If yes, proceed to step 3); otherwise, proceed to step 7.
[0070] Step 3) Number each appliance sequentially and obtain the corresponding theoretical current value I based on different combinations of abnormal power consumption by the appliances. x The formula f(x)min=min|I x -I t | Calculate the minimum absolute value of the difference between the theoretical current value and the actual current value, where I x =i0+w1i1+w2i2+、、、+w n i n i0 is the design value of the vehicle's static current, i n Let w1, w2, ..., w be the actual operating current of the nth electrical appliance. n Each of these represents a Boolean variable corresponding to a different appliance, with x values of w1, w2, ..., w... n The decimal numbers corresponding to setting 0 or 1 respectively, x = 0, 1, 2, ..., 2 n -1, I t Let t be the total vehicle current. New cars have many electrical components; completing 2... n The operation cycle is relatively long, such as Figure 7 As shown, before calculation, the domain to which the abnormal electrical appliance belongs is initially determined using the golden section method, including the following steps:
[0071] Step a1: The car includes the body domain, chassis domain, power domain, entertainment cockpit domain, and intelligent driving domain. Disconnect the power supply to the body domain, chassis domain, and power domain, and determine whether the static current has returned to normal. If yes, proceed to step a2; otherwise, proceed to step a3.
[0072] Step a2: Disconnect the power supply of the vehicle body domain and chassis domain, turn on the power supply of the power domain, and determine whether the static current has returned to normal. If yes, proceed to step a4; otherwise, proceed to step a5.
[0073] Step a3: Disconnect the power supply to the entertainment cockpit area and determine whether the static current has returned to normal. If yes, proceed to step a6; otherwise, proceed to step a7.
[0074] Step a4: Disconnect the vehicle body domain power supply, turn on the chassis domain power supply and power domain power supply, and determine whether the static current has returned to normal. If yes, proceed to step a8; otherwise, proceed to step a9.
[0075] Step a5: Identify electrical appliances in the power domain that are in abnormal condition;
[0076] Step a6: Identify any electrical appliances in the entertainment cabin area that are malfunctioning;
[0077] Step a7: Identify electrical appliances with abnormal status in the intelligent driving domain;
[0078] Step a8: Identify electrical appliances with abnormal status in the vehicle body area;
[0079] Step a9: Identify electrical appliances with abnormal status in the chassis area.
[0080] Step 4) After identifying the domain to which the specific malfunctioning appliance belongs, calculate f(x)min and obtain the corresponding I. x ;
[0081] Step 5) Convert the theoretical current value x obtained in Step 4) into a binary number. Each bit of the binary number reflects the working status of the appliance. In this embodiment, 1 indicates an abnormal power consumption situation, and 0 indicates a normal power-off situation. The appliance corresponding to the position of 1 in the binary number is an abnormal appliance, and the appliance in the abnormal state is locked.
[0082] Step 6) Disconnect the power supply to the malfunctioning electrical appliance or the area it belongs to, and send a notification message to the user so that the user can go to the 4S store for repair in a timely manner.
[0083] Step 7) Determine if the capacity of battery 100 is less than the set threshold. If yes, proceed to step 8); otherwise, proceed to step 1.
[0084] Step 8) Charge the battery 100 according to the vehicle charging logic.
[0085] Through the above technical solution, this invention calculates the minimum absolute value of the difference between the theoretical current value and the actual current value, and then obtains the theoretical current value of the vehicle's electrical appliances. Based on the theoretical current value of the vehicle's electrical appliances, a decimal number representing the state of the electrical appliance is obtained. After converting it to binary, the electrical appliance corresponding to the position of 1 in the binary number is the abnormal electrical appliance (in practical applications, 0 can also represent the abnormal electrical appliance, and 1 can represent the normally powered electrical appliance). In this way, it is possible to accurately locate the abnormal electrical appliance after locking the car, disconnect the power supply of the abnormal electrical appliance point by point, avoid the rapid consumption of 100% battery power, and avoid affecting normal vehicle use.
[0086] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A method for identifying abnormal electrical appliances in a car, characterized in that, Includes the following steps: Step 1) After the vehicle is locked, it enters sleep mode and checks the battery status; Step 2) Determine if the battery current is greater than the preset static current; if so, proceed to step 3). Step 3) Number each appliance sequentially and obtain the corresponding theoretical current value based on different combinations of abnormal power consumption by the appliances. I x Calculate each theoretical current value I x The minimum of the absolute values of the differences between the actual current value and the actual current value. f(x)min Among them, the theoretical current value I x middle x It is the cumulative value of the numbers of the electrical appliances that have abnormal power consumption. Through formula f(x)min = min|I x -I t | Calculate the minimum absolute value of the difference between the theoretical current value and the actual current value, where, I x The theoretical current value of the vehicle's electrical appliances and I x = i0+ w1i1+ w2i2+...+ w n i n i0 is the design value of the vehicle's static current, i n Let w1, w2, ..., w be the actual operating current of the nth electrical appliance. During the project development phase, the actual operating currents of all electrical appliances are statistically analyzed. n These are Boolean variables corresponding to each electrical appliance. x The values are w1, w2, ..., w n The decimal numbers corresponding to 0 or 1 respectively represent the accumulated values of the numbers of electrical appliances with abnormal power consumption. I t The actual current value of the vehicle at time t; Step 4) Obtain f(x)min The corresponding theoretical current value; Step 5) Use the theoretical current value obtained in Step 4) x The value is converted into a binary number, and each bit of the binary number reflects the working status of the appliance. The abnormal appliance can be obtained based on the binary number.
2. The method for identifying abnormal electrical appliances in a car according to claim 1, characterized in that, The preset static current refers to a preset multiple of the vehicle's static current.
3. The method for identifying abnormal electrical appliances in a car according to claim 1, characterized in that, The process following step 2) and before step 3) also includes: Step a1: The car includes the body domain, chassis domain, power domain, entertainment cockpit domain, and intelligent driving domain. Disconnect the power supply to the body domain, chassis domain, and power domain, and determine whether the static current has returned to normal. If yes, proceed to step a2; otherwise, proceed to step a3. Step a2: Disconnect the power supply of the vehicle body domain and chassis domain, turn on the power supply of the power domain, and determine whether the static current has returned to normal. If yes, proceed to step a4; otherwise, proceed to step a5. Step a3: Disconnect the power supply to the entertainment cockpit area and determine whether the static current has returned to normal. If yes, proceed to step a6; otherwise, proceed to step a7. Step a4: Disconnect the vehicle body domain power supply, turn on the chassis domain power supply and power domain power supply, and determine whether the static current has returned to normal. If yes, proceed to step a8; otherwise, proceed to step a9. Step a5: Identify electrical appliances in the power domain that are in abnormal condition; Step a6: Identify any electrical appliances in the entertainment cabin area that are malfunctioning; Step a7: Identify electrical appliances with abnormal status in the intelligent driving domain; Step a8: Identify electrical appliances with abnormal status in the vehicle body area; Step a9: Identify electrical appliances with abnormal status in the chassis area.
4. The method for identifying abnormal electrical appliances in a car according to claim 1, characterized in that, The formulas for the theoretical current values of the vehicle's electrical components are constructed using a neural network, where i0, i1, ..., i n The data are input to each input neuron of the neural network. I x As the output of the output neurons in the neural network, w1, w2, ..., w n Let i0, i1, ..., i be the connection parameters between each input neuron and the output neuron of the neural network. n The individual input neurons of the neural network are directly obtained. I x .
5. The method for identifying abnormal electrical appliances in a vehicle according to claim 1, characterized in that, Following step 5) is: Step 6) Disconnect the power supply to the malfunctioning appliance or the area to which the malfunctioning appliance belongs, and send a notification message to the user.
6. The method for identifying abnormal electrical appliances in a vehicle according to claim 1, characterized in that, Following step 2), the following also includes: Step 7) Determine if the battery current is greater than the preset static current. If not, determine if the battery capacity is less than the set threshold. If yes, proceed to step 8). Otherwise, return to step 1. Step 8) Charge the battery according to the vehicle charging logic.
7. A system for identifying abnormal electrical appliances in a car, characterized in that, This includes the battery, battery sensors, body control unit, TBOX, and smart fuse box. The battery sensor is connected to the battery, detects the battery charge, voltage, and current, and sends the data to the vehicle body controller. The body controller is connected to the battery sensor and the TBOX, and forwards the received battery power, voltage and current information to the TBOX. The TBOX sends the vehicle battery power, voltage, and current information to the cloud. The cloud-based system executes the method described in any one of claims 1 to 6, identifies abnormal electrical appliances, generates calculation execution instructions, and simultaneously sends the calculation execution instructions to the vehicle end via the TBOX and the body controller. The intelligent fuse box is connected to the CAN bus of the vehicle controller and is connected to the vehicle body domain, chassis domain, powertrain domain, entertainment cockpit domain, and intelligent driving domain through internal fuses. It controls the power supply of each domain according to the calculation execution instructions sent by the vehicle controller and shuts down electrical appliances that are malfunctioning after the vehicle is locked.
8. The automotive abnormal electrical appliance identification system according to claim 7, characterized in that, The negative terminal of the battery is connected to the battery sensor, and the positive terminal of the battery is output through the smart fuse box to the corresponding vehicle electrical appliances in the body domain, chassis domain, power domain, entertainment cockpit domain, and intelligent driving domain.
9. The automotive abnormal electrical appliance identification system according to claim 7, characterized in that, The vehicle controller is connected to the battery sensor via a LIN cable and to the TBOX and smart fuse box via a CAN cable. It sends vehicle current data that exceeds the normal range to the cloud via the TBOX for identification of abnormal electrical appliances, and sends the corresponding calculation and execution instructions for power on / off interaction data to the smart fuse box to control the power on / off of the body domain, chassis domain, power domain, entertainment cockpit domain, and intelligent driving domain. At the same time, it issues vehicle charging and shutdown commands based on the power level.
10. The automotive abnormal electrical appliance identification system according to claim 7, characterized in that, The TBOX is the communication interface between the vehicle network and the cloud. It uploads the vehicle current data that exceeds the normal range from the body controller to the cloud, sends the cloud calculation results back to the vehicle network, and sends the abnormal electrical appliance prompts and charging results to the user through the cloud server. The abnormal prompts include the abnormal electrical appliance, the power on / off control result, the battery level, and whether charging is required.
11. The identification system for abnormal electrical appliances in a car according to claim 7, characterized in that, The intelligent fuse box is connected to the CAN bus of the body controller. The positive terminal of the battery is connected to the hard wires of the body domain, chassis domain, power domain, entertainment cockpit domain, and intelligent driving domain through the internal switches and fuses of the intelligent fuse box. The power supply of each domain is controlled according to the instructions of the body controller.
12. The identification system for abnormal electrical appliances in a car according to claim 11, characterized in that, The power status of the vehicle body domain, chassis domain, powertrain domain, entertainment cockpit domain, and intelligent driving domain is represented by bits 0 to 4, where 1 indicates on and 0 indicates off. Bits 5 to 7 are reserved and can be expanded as needed. When it is necessary to switch the status of each domain, the cloud obtains the binary values represented by bits 0 to 7 of each domain, converts them into hexadecimal values, and sends them to the vehicle body controller. The smart fuse box receives the binary values converted by the vehicle body controller and controls the start and stop of the electrical appliances in each domain according to the binary values.