Electric drive thermal management system, method and vehicle terminal for a vehicle

Abstract

The application relates to the technical field of new energy vehicle management, and provides an electric drive heat management system and method for a vehicle and a vehicle terminal. In the application, a heat source component in an electric drive system and a preset water temperature collection area in a cooling liquid circuit are respectively taken as data sampling sources, temperature sampling signals corresponding to the data sampling sources are collected, a target temperature sensor located at a total water inlet of the cooling liquid circuit is subjected to fault detection according to cross signal characteristics between the temperature sampling signals, and a fault detection result is obtained. Compared with single data source sensor fault detection, the temperature sampling is performed on multiple heat source components in the electric drive system and different water temperature collection areas in the cooling liquid circuit, temperature sampling signals of different data sources are obtained, cross signal characteristics between the temperature sampling signals are extracted, the target temperature sensor located at the total water inlet of the cooling liquid circuit is subjected to fault detection, the reference range of the fault detection is expanded, and therefore the reliability of sensor fault judgment is improved.

Description

Technical Field

[0001] This application relates to the field of new energy vehicle management technology, specifically to an electric thermal management system, method, and vehicle terminal for vehicles. Background Technology

[0002] The electric drive system of new energy vehicles typically includes core components such as motors, motor controllers, vehicle controllers, and DC-DC converters. These components generate a lot of heat during operation, which needs to be dissipated through the coolant circuit to ensure their normal operation. When monitoring and controlling the temperature, the electric drive thermal management system usually uses a water temperature sensor installed at the main water inlet of the electric drive as the sole basis for judging the coolant circuit temperature, and executes thermal management strategies based on the output signal of the sensor to control the operating status of the cooling fan and water pump.

[0003] However, relying solely on the main inlet water temperature sensor as a single data source for judgment lacks an effective multi-source information cross-verification mechanism. Once the sensor experiences signal drift, jumps, or electromagnetic interference, the system cannot accurately distinguish whether the sensor itself is malfunctioning or the electric drive system is actually overheating. This results in low reliability of sensor fault judgment, which can easily lead to false alarms and the execution of incorrect cooling control actions. Summary of the Invention

[0004] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or describe the scope of protection of these embodiments, but rather as a prelude to the detailed description that follows.

[0005] In view of the shortcomings of the prior art described above, this application provides an electric thermal management system, method and vehicle terminal for vehicles to improve the reliability of sensor fault determination.

[0006] In a first aspect, this application provides an electric drive thermal management system for a vehicle, comprising: an electric drive system including one or more heat source components; a coolant circuit including one or more water temperature acquisition areas, wherein the water temperature acquisition areas are used to dissipate heat from each of the heat source components through coolant flow, wherein the water temperature acquisition areas include a total inlet of the coolant circuit; an acquisition module including multiple temperature sensors, wherein the temperature sensors are used to acquire the temperature corresponding to each data sampling source, and obtain a temperature sampling signal corresponding to each of the data sampling sources, wherein each of the data sampling sources includes each of the heat source components and each of the water temperature acquisition areas; and a management module used to perform fault detection on a target temperature sensor based on the cross signal characteristics between the temperature sampling signals, and obtain a fault detection result, wherein the target temperature sensor is a temperature sensor disposed at the total inlet.

[0007] In one embodiment of this application, the heat source component includes one or more of a drive motor, a vehicle controller, a motor controller, and a DC-DC converter. The temperature sensor includes one or more of the following: a junction temperature sensor for acquiring the temperature of an insulated-gate bipolar transistor (IGBT) to obtain a junction temperature sampling signal, wherein the IGBT is disposed in the motor controller and / or the DC-DC converter; a water temperature sensor for acquiring the temperature of the water temperature acquisition area to obtain a water temperature sampling signal; and a heat source sensor for acquiring the temperature of the heat source component to obtain a heat source sampling signal.

[0008] In one embodiment of this application, the management module performs fault detection on the target temperature sensor based on the cross signal characteristics between the temperature sampling signals in the following manner: if any of the water temperature sampling signals is greater than any of the heat source sampling signals, the target temperature sensor is determined to be faulty; if the first temperature difference is outside a preset first threshold range, the target temperature sensor is determined to be faulty, wherein the first temperature difference is calculated based on the junction temperature sampling signal corresponding to the motor controller and the water temperature sampling signal of the main inlet; if the second temperature difference is outside a preset second threshold range, the target temperature sensor is determined to be faulty, wherein the second temperature difference is calculated based on the heat source sampling signal corresponding to the DC converter and the water temperature sampling signal corresponding to the secondary inlet in the coolant circuit; if the temperature difference between any two of the water temperature sampling signals is greater than or equal to a preset circuit temperature difference threshold, the target temperature sensor is determined to be faulty.

[0009] In one embodiment of this application, the electric drive thermal management system for a vehicle further includes a threshold calibration module. The threshold calibration module is used to: obtain current operating condition parameters, wherein the current operating condition parameters include the output power corresponding to the motor controller and the water pump flow rate of the coolant circuit; predict a first temperature difference value based on the current operating condition parameters using a preset temperature difference prediction model to obtain a reference temperature difference value, wherein the temperature difference prediction model is constructed based on a relational graph or a neural network model, the reference temperature difference value and the output power are positively correlated, and the reference temperature difference value and the water pump flow rate are negatively correlated; and calibrate based on the reference temperature difference value to obtain a first threshold interval corresponding to the first temperature difference value.

[0010] In one embodiment of this application, the management module is further configured to execute a thermal management strategy in the following manner: acquiring fault determination conditions corresponding to a target diagnostic signal, wherein the target diagnostic signal includes a temperature sampling signal output by the target temperature sensor, the fault determination conditions include hard fault conditions and soft fault conditions, the hard fault condition includes the target diagnostic signal being outside a preset diagnostic signal range, the soft fault condition includes a first soft fault condition and a second soft fault condition, the first soft fault condition includes the signal change rate of the target diagnostic signal being greater than or equal to a preset change rate threshold, and the second soft fault condition includes the fault detection result including the target temperature sensor being an abnormal sensor; if the target diagnostic signal satisfies the hard fault condition or the soft fault condition, then the loop temperature of the coolant circuit is estimated based on each of the temperature sampling signals, and the loop temperature of the coolant circuit is determined based on the estimation result, and a corresponding thermal management strategy is executed based on the loop temperature to control the coolant circuit; if the target diagnostic signal does not satisfy the fault determination conditions, then the loop temperature of the coolant circuit is determined based on the target diagnostic signal, and a corresponding thermal management strategy is executed based on the loop temperature to control the coolant circuit.

[0011] In one embodiment of this application, the management module estimates the loop temperature of the coolant circuit based on each of the temperature sampling signals in the following manner: acquiring multiple water temperature estimation algorithms and the algorithm weights corresponding to each water temperature estimation algorithm; estimating the loop temperature of the coolant circuit according to each of the temperature sampling signals and each of the water temperature estimation algorithms to obtain water temperature estimation values; performing weighted calculation on each of the water temperature estimation values ​​according to the algorithm weights to obtain a fused estimation value of the coolant circuit, and determining the loop temperature of the coolant circuit based on the fused estimation value.

[0012] In one embodiment of this application, the management module is further configured to: if any temperature sensor is in an abnormal state, then use the temperature sampling signal corresponding to the temperature sensor as the abnormal sampling signal, and use the water temperature estimation algorithm dependent on the abnormal sampling signal as the abnormal estimation algorithm; if the water pump flow rate of the coolant circuit is in an abnormal flow rate state, then use the water temperature estimation algorithm dependent on the water pump flow rate as the abnormal estimation algorithm, wherein the algorithm parameters of the water temperature estimation algorithm dependent on the water pump flow rate include a reference temperature difference value between the junction temperature sampling signal and the water temperature sampling signal, and the reference temperature difference value is determined based on the water pump flow rate of the coolant circuit; and reduce the algorithm weight corresponding to the abnormal estimation algorithm.

[0013] In one embodiment of this application, the management module is further configured to: if the target diagnostic signal satisfies the first soft fault condition or the second soft fault condition, then perform low-pass filtering on the target diagnostic signal before executing the thermal management strategy; if the target diagnostic signal within a target time period satisfies any fault determination condition, and the duration of the target time period is greater than or equal to a preset abnormal duration threshold, then obtain the component temperature threshold corresponding to the heat source component; if the temperature sampling signal corresponding to the heat source component is less than the component temperature threshold, then execute the corresponding thermal management strategy according to the circuit temperature to control the coolant circuit; if the temperature sampling signal corresponding to the heat source component is greater than or equal to the component temperature threshold, then execute the corresponding thermal management strategy according to the temperature sampling signal corresponding to the heat source component to control the coolant circuit.

[0014] Secondly, this application also provides an electric drive thermal management method for a vehicle, comprising: using a temperature sensor to collect the temperature corresponding to each data sampling source, and obtaining a temperature sampling signal corresponding to each data sampling source, wherein the electric drive system includes one or more heat source components, the coolant circuit includes one or more water temperature acquisition areas, each data sampling source includes each heat source component and each water temperature acquisition area, the water temperature acquisition area is used to dissipate heat to each heat source component through coolant flow, and the water temperature acquisition area includes the main inlet of the coolant circuit; and performing fault detection on a target temperature sensor based on the cross signal characteristics between the temperature sampling signals, and obtaining a fault detection result, wherein the target temperature sensor is a temperature sensor disposed at the main inlet.

[0015] Thirdly, this application also provides a vehicle terminal, including: a processor and a memory; the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory to cause the vehicle terminal to perform the electric thermal management method for a vehicle as described above.

[0016] The beneficial effects of this application are: By using the heat source components in the electric drive system and the preset water temperature acquisition areas in the coolant circuit as data sampling sources, the acquisition module collects the temperature sampling signals corresponding to each data sampling source. Then, the management module performs fault detection on the target temperature sensor located at the main inlet of the coolant circuit based on the cross-signal characteristics between the temperature sampling signals, and obtains the fault detection results. In this way, compared with sensor fault detection based on a single data source, by introducing temperature sampling from multiple heat source components in the electric drive system and different water temperature acquisition areas in the coolant circuit, temperature sampling signals from different data sources are obtained. The management module then extracts the cross-signal characteristics between the temperature sampling signals to perform fault detection on the target temperature sensor located at the main inlet of the coolant circuit. By constructing a multi-source temperature information cross-validation mechanism, the reference range of fault detection is expanded, thereby improving the reliability of sensor fault determination. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0018] In the attached diagram: Figure 1 This is a schematic diagram of the structure of an electric drive thermal management system for a vehicle according to an embodiment of this application; Figure 2 This is a flowchart illustrating a method for determining a temperature sensor fault in an electric drive system according to an embodiment of this application. Figure 3 This is a flowchart illustrating a sensor anomaly cross-verification method for an electric drive system according to an embodiment of this application. Figure 4 This is a flowchart illustrating an electric thermal management method for a vehicle according to an embodiment of this application. Figure 5 This is a structural schematic diagram of a vehicle terminal in an embodiment of this application. Detailed Implementation

[0019] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0020] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of this application. The drawings only show the components related to this application and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0021] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the present application. However, it will be apparent to those skilled in the art that embodiments of the present application may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the present application.

[0022] The terms "second," "third," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0023] Unless otherwise stated, the term "multiple" means two or more.

[0024] In this application, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0025] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0026] To facilitate a clearer and more accurate understanding of the technical solutions disclosed in this application by those skilled in the art, the following will first explain and describe the specific meanings of some key technical terms involved in the specification and claims within the specific technical context of this application. It should be particularly emphasized that the following explanations aim to clarify the internal logic and data relationships constructed by this invention to solve specific technical problems, and do not imply that these terms themselves are prior art, nor do they constitute any limitation on the scope of protection of this application.

[0027] An electric drive system refers to a comprehensive system in a new energy vehicle responsible for converting electrical energy into mechanical energy to drive the vehicle and for distributing and managing electrical energy. The electric drive system of this application includes a drive motor, a vehicle controller, a motor controller, a DC-DC converter, and other heat source components, as well as components such as an OBC (On-Board Charger) and a boost converter. The drive motor performs electromechanical energy conversion and outputs vehicle driving force. The vehicle controller (GCU) receives driver intentions and the overall vehicle status, generating macro-level control commands for the entire vehicle. The motor controller (MCU) receives commands from the vehicle controller and precisely controls the operation of the drive motor by inverting DC power to AC power. The DC-DC converter (DCDC) performs energy conversion between the vehicle's high-voltage battery network and the low-voltage power grid to power the vehicle's low-voltage electronic equipment (e.g., the vehicle controller).

[0028] The coolant circuit refers to a closed fluid circulation channel composed of a water pump, pipes, radiator, and water jackets of each cooled component. It is filled with coolant with a specific specific heat capacity, which flows through the heat source components of the electric drive system under the drive of the water pump, absorbs the heat generated during operation, and is finally dissipated to the external environment through the front cooling fan.

[0029] Cross signal characteristics refer to the relative numerical relationships extracted between temperature sampling signals from different physical locations based on thermodynamic physical constraints (such as the law of heat conduction and the law of conservation of energy). The signal characteristics are manifested as the comparison results of temperature magnitudes between different temperature measurement points, the actual temperature difference, and the deviation between the theoretical temperature difference derived from the component's heat generation power and the water pump flow rate and the actual temperature difference.

[0030] A temperature sensor is a physical detection device that can convert temperature into an output signal.

[0031] Junction temperature sensors differ from temperature sensors that measure the surface temperature of the casing. "Junction temperature" specifically refers to the actual operating temperature of the core inside a semiconductor component. Junction temperature sensors are used to measure the internal temperature of the core power switching element inside a motor controller or DC-DC converter. The core power switching element is an insulated-gate bipolar transistor (IGBT). Since this is the core heat source of the electric drive system, its temperature sampling signal has the highest absolute value and extremely fast response to changes in current load.

[0032] A MAP (Mapping Map) is a lookup table that stores the correspondence between multidimensional input parameters and output results.

[0033] Combination Figure 1 As shown, this application provides an electric drive thermal management system for vehicles, including an electric drive system 101, a coolant circuit 102, a data acquisition module 103, and a management module 104.

[0034] The electric drive system 101 includes one or more heat source components.

[0035] The coolant circuit 102 includes one or more water temperature acquisition areas, which are used to dissipate heat from each of the heat source components through the flow of coolant. The water temperature acquisition area includes the main inlet of the coolant circuit.

[0036] In some embodiments, the heat source components inside the electric drive system generate a large amount of heat during operation. The coolant circuit drives the coolant to circulate through the water pump, flowing through each heat source component to absorb heat, and then dissipating the heat through the front cooling fan.

[0037] The acquisition module 103 includes multiple temperature sensors, which are used to acquire the temperature corresponding to each data sampling source to obtain the temperature sampling signal corresponding to each data sampling source. Each data sampling source includes each heat source component and each water temperature acquisition area.

[0038] In some embodiments, the acquisition module consists of physical sensor probes distributed throughout the vehicle and corresponding analog-to-digital conversion sampling circuits.

[0039] The management module 104 is used to perform fault detection on the target temperature sensor based on the cross signal characteristics between each temperature sampling signal, and obtain the fault detection result. The target temperature sensor is a temperature sensor installed at the main water inlet.

[0040] In some embodiments, the management module is a control chip located inside the vehicle controller or motor controller, or a dedicated thermal management controller, wherein the management module receives various temperature sampling signals through the vehicle's internal communication bus.

[0041] In some embodiments, cross signal characteristics refer to the relative relationships between signals extracted based on the laws of system thermodynamics, including but not limited to: the numerical comparison relationship between sampled signals, the dynamic difference relationship between sampled signals, and the deviation relationship between theoretical temperature difference and actual temperature difference derived based on power and flow rate.

[0042] The electric drive thermal management system for vehicles provided in this application uses the heat source components in the electric drive system and the preset water temperature acquisition areas in the coolant circuit as data sampling sources. The acquisition module collects the temperature corresponding to each data sampling source, obtaining temperature sampling signals for each source. Then, the management module performs fault detection on the target temperature sensor located at the main inlet of the coolant circuit based on the cross-signal characteristics between these temperature sampling signals, obtaining fault detection results. Compared to sensor fault detection based on a single data source, this approach introduces temperature sampling from multiple heat source components and different water temperature acquisition areas in the coolant circuit within the electric drive system, obtaining temperature sampling signals from different data sources. The management module then extracts the cross-signal characteristics between these temperature sampling signals to detect faults in the target temperature sensor located at the main inlet of the coolant circuit. By constructing a multi-source temperature information cross-validation mechanism, the reference range for fault detection is expanded, thereby improving the reliability of sensor fault determination.

[0043] Optionally, the heat source components include one or more of the following: drive motor, vehicle controller, motor controller, and DC-DC converter.

[0044] In some embodiments, the motor controller includes a front motor controller and a rear motor controller; the front motor controller is used to control the front axle drive motor and is typically located in the front engine compartment of the vehicle; the rear motor controller is used to control the rear axle drive motor and is typically located on the subframe under the rear chassis or trunk of the vehicle.

[0045] Optionally, the temperature sensor includes one or more of the following: a junction temperature sensor for acquiring the temperature of an insulated-gate bipolar transistor to obtain a junction temperature sampling signal, wherein the insulated-gate bipolar transistor is disposed in a motor controller and / or a DC-DC converter; a water temperature sensor for acquiring the temperature of a water temperature acquisition area to obtain a water temperature sampling signal; and a heat source sensor for acquiring the temperature of a heat source component to obtain a heat source sampling signal.

[0046] In some embodiments, the insulated-gate bipolar transistor (IGBT) is the core power switching element of the motor controller and DC-DC converter, wherein the junction temperature sampling signal of the motor controller is denoted as... The junction temperature sampling signal of the DC-DC converter is denoted as .

[0047] In some embodiments, water temperature sensors are respectively installed at the main inlet of the coolant circuit and the secondary inlet of the DC-DC converter in the coolant circuit, wherein the water temperature sampling signal collected at the main inlet is denoted as... The water temperature sampling signal collected at the secondary inlet is recorded as .

[0048] In some embodiments, heat source sensors are disposed on different heat source components, and the heat source sampling signal includes the body temperature of the vehicle controller. Temperature of the front motor controller body The body temperature of the rear motor controller and the body temperature of the DC-DC converter .

[0049] Optionally, the management module is further configured to execute a thermal management strategy in the following manner: acquiring fault determination conditions corresponding to a target diagnostic signal, wherein the target diagnostic signal includes a temperature sampling signal output by the target temperature sensor, the fault determination conditions include hard fault conditions and soft fault conditions, the hard fault condition includes the target diagnostic signal being outside a preset diagnostic signal range, the soft fault condition includes a first soft fault condition and a second soft fault condition, the first soft fault condition includes the signal change rate of the target diagnostic signal being greater than or equal to a preset change rate threshold, and the second soft fault condition includes the fault detection result including the target temperature sensor being an abnormal sensor; if the target diagnostic signal satisfies the hard fault condition or the soft fault condition, then the loop temperature of the coolant circuit is estimated based on each of the temperature sampling signals, and the loop temperature of the coolant circuit is determined based on the estimation result, and a corresponding thermal management strategy is executed based on the loop temperature to control the coolant circuit; if the target diagnostic signal does not satisfy the fault determination conditions, then the loop temperature of the coolant circuit is determined based on the target diagnostic signal, and a corresponding thermal management strategy is executed based on the loop temperature to control the coolant circuit.

[0050] In some embodiments, fault determination conditions corresponding to the target diagnostic signal are obtained, wherein the target diagnostic signal includes a temperature sampling signal output by a target temperature sensor, and the fault determination conditions include a hard fault condition, a first soft fault condition, and a second soft fault condition; if the target diagnostic signal meets the hard fault condition, the fault type of the target temperature sensor is determined to be a hard fault type, and the loop temperature of the coolant circuit is estimated based on each temperature sampling signal to determine the loop temperature of the coolant circuit based on the estimation result, and a corresponding thermal management strategy is executed based on the loop temperature to control the coolant circuit, wherein the hard fault condition includes the target diagnostic signal being outside a preset diagnostic signal range; if the target diagnostic signal meets the first soft fault condition... If the target temperature sensor fails to meet the first and second soft fault conditions, the fault type is determined to be a soft fault. The loop temperature of the coolant circuit is estimated based on the temperature sampling signals. The loop temperature of the coolant circuit is then determined based on the estimation results. A corresponding thermal management strategy is executed based on the loop temperature to control the coolant circuit. The first soft fault condition includes a signal change rate of the target diagnostic signal that is greater than or equal to a preset change rate threshold. The second soft fault condition includes a fault detection result that the target temperature sensor is an abnormal sensor. If the target diagnostic signal does not meet the fault determination conditions, the loop temperature of the coolant circuit is determined based on the target diagnostic signal, and a corresponding thermal management strategy is executed based on the loop temperature to control the coolant circuit.

[0051] In some embodiments, sensor fault detection based on a single data source typically requires determining whether the sensor's output signal is stuck, i.e., whether it remains the same signal for an extended period. However, for vehicle power management purposes, vehicles operate under low-load steady-state conditions where coolant temperature changes are minimal, easily leading to incorrect assessments of a stuck output signal. This application, however, does not assess whether the sensor's output signal is stuck. Instead, it constructs a multi-source temperature information cross-validation mechanism to broaden the reference range for fault detection and achieve sensor fault determination.

[0052] In some embodiments, the diagnostic signal range in the hard fault condition is calibrated based on the boiling point of the coolant and the minimum operating temperature of the electric drive system. For example, the minimum value of the diagnostic signal range is set to -40°C and the maximum value of the diagnostic signal range is set to 125°C. If the target diagnostic signal is outside the range of -40°C to 125°C for a period of more than 500ms, the fault type of the target temperature sensor is determined to be a hard fault type of short circuit / open circuit. The loop temperature of the coolant circuit is directly estimated based on each temperature sampling signal, and the loop temperature of the coolant circuit is determined based on the estimation result.

[0053] In some embodiments, the rate of change threshold in the first soft fault condition is determined based on the thermal inertia of the coolant, for example, the rate of change threshold is 2℃ / s; if the rate of change of the target diagnostic signal is greater than 2℃ / s for a period of more than 200ms, the current signal output by the target temperature sensor is frozen and the current signal is taken as the last valid signal. At the same time, the target temperature sensor is fault detected based on the cross signal characteristics between each temperature sampling signal to obtain the fault detection result; if the fault detection result includes that the target temperature sensor is an abnormal sensor, the fault type of the target temperature sensor is determined to be a soft fault type with a signal jump. The loop temperature of the coolant circuit is estimated based on each temperature sampling signal to determine the loop temperature of the coolant circuit based on the estimation result.

[0054] Combination Figure 2 As shown, this application provides a method for determining temperature sensor faults in an electric drive system, including: Step S201: Obtain the fault determination conditions corresponding to the target diagnostic signal; The target diagnostic signal includes the temperature sampling signal output by the target temperature sensor; The fault determination conditions include hard fault conditions, first soft fault conditions, and second soft fault conditions. Step S202: Determine whether the hard fault condition is met. If yes, proceed to step S206; otherwise, proceed to step S203. Among them, hard fault conditions include the target diagnostic signal being outside the preset diagnostic signal range; Step S203: Determine whether the first soft fault condition is met. If yes, proceed to step S204; otherwise, proceed to step S207. The first soft fault condition includes the target diagnostic signal’s rate of change being greater than or equal to a preset rate of change threshold. Step S204: Perform fault detection on the target temperature sensor based on the cross signal characteristics between each temperature sampling signal; Step S205: Determine whether the second soft fault condition is met. If yes, proceed to step S206. The second soft fault condition includes fault detection results indicating that the target temperature sensor is an abnormal sensor; Step S206: Estimate the loop temperature of the coolant circuit based on each temperature sampling signal, and determine the loop temperature of the coolant circuit based on the estimation result.

[0055] Step S207: Determine the circuit temperature of the coolant circuit based on the target diagnostic signal.

[0056] Optionally, the management module performs fault detection on the target temperature sensor based on the cross signal characteristics between the temperature sampling signals in the following manner: if any of the water temperature sampling signals is greater than any of the heat source sampling signals, the target temperature sensor is determined to be faulty; if the first temperature difference is outside a preset first threshold range, the target temperature sensor is determined to be faulty, wherein the first temperature difference is calculated based on the junction temperature sampling signal corresponding to the motor controller and the water temperature sampling signal of the main inlet; if the second temperature difference is outside a preset second threshold range, the target temperature sensor is determined to be faulty, wherein the second temperature difference is calculated based on the heat source sampling signal corresponding to the DC converter and the water temperature sampling signal corresponding to the secondary inlet in the coolant circuit; if the temperature difference between any two water temperature sampling signals is greater than or equal to a preset circuit temperature difference threshold, the target temperature sensor is determined to be faulty.

[0057] Optionally, the management module performs fault detection on the target temperature sensor based on the cross-signal characteristics between the various temperature sampling signals in the following manner: It acquires feature verification items, wherein the feature verification items include at least one of heat exchange verification items, temperature difference verification items, and loop verification items; if any water temperature sampling signal is greater than any heat source sampling signal, the verification result corresponding to the heat exchange verification item is determined to be a verification failure; if the temperature difference verification value is outside a preset temperature difference threshold range, the verification result corresponding to the temperature difference verification item is determined to be a verification failure, wherein the temperature difference verification value includes a first temperature difference value and / or a second temperature difference value; if the loop verification value is greater than or equal to a preset loop temperature difference threshold, the verification result corresponding to the loop verification item is determined to be a verification failure, wherein the loop verification value includes the temperature difference between each water temperature sampling signal; if the verification result of any feature verification item is a verification failure, the target temperature sensor is determined to be an abnormal sensor, and a fault detection result is generated.

[0058] In some embodiments, since the electric drive system is a thermodynamic system, there is a strict thermodynamic physical constraint relationship between the temperature of each component and the temperature of the coolant. The thermodynamic physical constraint relationship includes, but is not limited to: (1) the temperature of all heat source components is greater than the temperature of the coolant corresponding to the heat source component; (2) the temperature difference between the heat source component and the coolant is positively correlated with the power of the heat source component, and the temperature difference between the heat source component and the coolant is negatively correlated with the water pump flow rate. Positive correlation means that there is a mathematical or physical mapping relationship between two physical variables that changes in the same direction. That is, when the first variable increases, the positively correlated second variable also increases. Negative correlation means that there is a mathematical or physical mapping relationship between two physical variables that changes in opposite directions. That is, when the first variable increases, the negatively correlated second variable will decrease; (3) in the same coolant circuit, the temperature difference between different areas should be within a reasonable threshold range.

[0059] Based on the above thermodynamic and physical constraints, the feature verification items provided in this application include: (1) Heat exchange verification item, its normal conditions are expressed as follows: The corresponding abnormal conditions include "any water temperature sampling signal is greater than any heat source sampling signal", and the abnormal duration is 1 second; (2) The first temperature difference verification item, its normal conditions are expressed as follows: The corresponding abnormal conditions include "the temperature difference verification value between the motor controller and the main water inlet is outside the preset temperature difference threshold range", and the abnormality lasts for 2 seconds. This represents the minimum value of the temperature difference threshold range between the motor controller and the main water inlet. This is the maximum value of the temperature difference threshold range between the motor controller and the main water inlet. The minimum value of the temperature difference threshold range is between 70% and 100% of the reference temperature difference value, and the maximum value of the temperature difference threshold range is between 100% and 130% of the reference temperature difference value. For example, the minimum value of the temperature difference threshold range is 80% of the reference temperature difference value, and the maximum value of the temperature difference threshold range is 120% of the reference temperature difference value. (3) The normal conditions for the second temperature difference verification item are as follows: The corresponding abnormal conditions include "the temperature difference verification value between the DC converter and the secondary inlet is outside the preset temperature difference threshold range", and the abnormality lasts for 2 seconds. This represents the minimum value of the temperature difference threshold range between the DC-DC converter and the secondary inlet. This refers to the maximum value of the temperature difference threshold range between the DC converter and the secondary inlet. The minimum value of the temperature difference threshold range is between 70% and 100% of the reference temperature difference value, and the maximum value is between 100% and 130% of the reference temperature difference value. For example, the minimum value of the temperature difference threshold range is 80% of the reference temperature difference value, and the maximum value is 120% of the reference temperature difference value. (4) Loop verification item, whose normal condition is expressed as follows: The corresponding abnormal conditions include "the loop verification value is greater than or equal to the preset loop temperature difference threshold", and the abnormality duration is 3 seconds. For example, based on the pipe length between water temperature sensors, the loop temperature difference threshold can be set to 10°C. If the temperature sampling signal meets the abnormal conditions, and the duration of meeting the abnormal conditions reaches the abnormal duration, then the verification result of this feature verification item is determined to be a verification failure.

[0060] Combination Figure 3 As shown, this application provides a method for cross-validation of sensor anomalies in an electric drive system, including: Step S301: If the first soft fault condition is met, then obtain the feature verification item; The first soft fault condition includes the target diagnostic signal’s rate of change being greater than or equal to a preset rate of change threshold. Among them, the feature verification items include at least one of heat exchange verification items, temperature difference verification items, and loop verification items; Step S302: Determine whether any water temperature sampling signal is greater than any heat source sampling signal. If yes, proceed to step S306; otherwise, proceed to step S303. Step S303: Determine whether the temperature difference verification value is outside the temperature difference threshold range. If yes, proceed to step S306; otherwise, proceed to step S304. The temperature difference verification value includes a first temperature difference and / or a second temperature difference; The first temperature difference is calculated based on the junction temperature sampling signal of the motor controller and the water temperature sampling signal of the main inlet. The second temperature difference is calculated based on the heat source sampling signal corresponding to the DC converter and the water temperature sampling signal corresponding to the secondary inlet in the coolant circuit. Step S304: Determine whether the loop verification value is greater than or equal to the loop temperature difference threshold. If yes, proceed to step S306; otherwise, proceed to step S305. The loop check value includes the temperature difference between each water temperature sampling signal; Step S305: Determine the target temperature sensor as a normal sensor.

[0061] Step S306: The target temperature sensor is identified as an abnormal sensor, and a fault detection result is generated.

[0062] Optionally, the electric drive thermal management system for vehicles further includes a threshold calibration module, which is used to: obtain current operating condition parameters, wherein the current operating condition parameters include the output power corresponding to the motor controller and the water pump flow rate of the coolant circuit; predict a first temperature difference value based on the current operating condition parameters using a preset temperature difference prediction model to obtain a reference temperature difference value, wherein the temperature difference prediction model is constructed based on a relational graph or neural network model, the reference temperature difference value and the output power are positively correlated, and the reference temperature difference value and the water pump flow rate are negatively correlated; and calibrate based on the reference temperature difference value to obtain a first threshold interval corresponding to the first temperature difference value.

[0063] In some embodiments, the temperature difference threshold range of the first temperature difference is mainly affected by the output power of the motor controller and the water pump flow rate of the coolant circuit; taking the temperature difference threshold range between the motor controller and the main water inlet as an example, using a test bench, the temperature difference threshold range of the coolant water pump is measured by the PWM (Pulse Width Modulation) of the coolant water pump. The coolant flow rate is controlled by the duty cycle of pulse width modulation (PWM). With a fixed coolant flow rate, the output power of the motor controller is gradually increased, and the temperature difference between the motor controller and the main inlet is recorded at different output power levels. The above recording action is repeated according to different water pump flow rates to obtain the mapping relationship between output power, water pump flow rate, and temperature difference. The mapping relationship between output power, water pump flow rate, and temperature difference is fitted to obtain a two-dimensional MAP (MAPChart) as a temperature difference prediction model. The two-dimensional MAP is matched to obtain the reference temperature difference value corresponding to the current operating parameters. The temperature difference threshold range is calibrated according to the reference temperature difference value. The minimum value of the temperature difference threshold range is between 70% and 100% of the reference temperature difference value, and the maximum value is between 100% and 130% of the reference temperature difference value. At the same time, the maximum value of the temperature difference threshold range cannot exceed the maximum allowable temperature between the insulated gate bipolar transistor and the main inlet, for example, the maximum allowable temperature is any temperature between 30°C and 45°C.

[0064] In some embodiments, if the temperature difference verification value between the motor controller and the main water inlet is less than the minimum value of the temperature difference threshold range, it indicates that the temperature sampling signal output by the target temperature sensor is too high, since the temperature sampling signal output by the target temperature sensor is the minuend of the temperature difference verification value. Similarly, if the temperature difference verification value between the motor controller and the main water inlet is greater than the maximum value of the temperature difference threshold range, it indicates that the temperature sampling signal output by the target temperature sensor is too low.

[0065] In some embodiments, a second threshold interval is set according to the method for setting a first threshold interval, wherein the reference temperature difference value of the second threshold interval is based on... Optionally, the management module estimates the loop temperature of the coolant circuit based on each temperature sampling signal in the following way: obtaining multiple water temperature estimation algorithms and the corresponding algorithm weights for each water temperature estimation algorithm; estimating the loop temperature of the coolant circuit according to each water temperature estimation algorithm based on each temperature sampling signal to obtain water temperature estimation values; performing weighted calculation on each water temperature estimation value according to each algorithm weight to obtain a fused estimation value of the coolant circuit, and determining the loop temperature of the coolant circuit based on the fused estimation value.

[0066] In some embodiments, each water temperature estimation algorithm depends on a portion of each temperature sampling signal. Since the reliability of each temperature sampling signal is different, different algorithm weights are set for the water temperature estimation algorithms corresponding to the temperature sampling signals according to their reliability. This allows the water temperature estimation algorithms with higher reliability to have a greater impact on the loop temperature, thereby improving the accuracy of the loop temperature estimation.

[0067] In some embodiments, the junction temperature sampling signal corresponding to the motor controller is relied upon. Output power corresponding to the motor controller and the water pump flow rate in the coolant circuit The water temperature estimation algorithm is expressed as: Formula (1) In formula (1), This is the first estimated water temperature value. This is the junction temperature sampling signal corresponding to the motor controller. This refers to the output power corresponding to the motor controller. The water pump flow rate in the coolant circuit. This is the reference temperature difference between the motor controller and the main water inlet, which is predicted based on the output power and water pump flow rate.

[0068] In some embodiments, it depends on the junction temperature sampling signal corresponding to the DC-DC converter. Output power corresponding to DC-DC converter and the water pump flow rate in the coolant circuit The water temperature estimation algorithm is expressed as: Formula (2) In formula (2), This is the second estimated water temperature value. This is the junction temperature sampling signal corresponding to the DC-DC converter. This represents the output power of the DC-DC converter. This is the reference temperature difference between the DC converter and the secondary water inlet, which is predicted based on the output power and the water pump flow rate.

[0069] In some embodiments, the water temperature sampling signal corresponding to the secondary inlet is relied upon. The water temperature estimation algorithm is expressed as: Formula (3) In formula (3), This is the third estimated water temperature value. This is the water temperature sampling signal corresponding to the secondary inlet. The preset pipeline temperature drop compensation value is usually set between 2℃ and 10℃.

[0070] In some embodiments, depending on the heat generation power and heat dissipation power The isopower model and water temperature estimation algorithm are expressed as follows: Formula (4) In formula (4), This is the fourth estimated water temperature value. The loop temperature of the previous sampling period. The heat generation power of the electric drive system in the current sampling period. This represents the heat dissipation power of the coolant circuit during the current sampling period. The sampling step size, The mass of coolant in the coolant circuit. This refers to the specific heat capacity of the coolant.

[0071] In some embodiments, the temperature sampling signals are sorted from highest to lowest reliability as follows: the junction temperature sampling signal corresponding to the motor controller, the water temperature sampling signal corresponding to the secondary inlet, the junction temperature sampling signal corresponding to the DC-DC converter, and the power model. Therefore, the algorithm weights corresponding to the above four temperature sampling signals are set as follows: , , , .

[0072] Optionally, the management module is further configured to: if any temperature sensor is in an abnormal state, then use the temperature sampling signal corresponding to the temperature sensor as the abnormal sampling signal, and use the water temperature estimation algorithm that depends on the abnormal sampling signal as the abnormal estimation algorithm; if the water pump flow rate in the coolant circuit is in an abnormal flow rate state, then use the water temperature estimation algorithm that depends on the water pump flow rate as the abnormal estimation algorithm, wherein the algorithm parameters of the water temperature estimation algorithm that depends on the water pump flow rate include a reference temperature difference value between the junction temperature sampling signal and the water temperature sampling signal, and the reference temperature difference value is determined based on the water pump flow rate of the coolant circuit; and reduce the algorithm weight corresponding to the abnormal estimation algorithm.

[0073] In some embodiments, when any temperature sensor is in an abnormal state, the management module automatically uses the water temperature estimation algorithm that relies on the abnormal sampling signal as the abnormal estimation algorithm and reduces the algorithm weight corresponding to the abnormal estimation algorithm to the minimum weight value, for example, setting the minimum weight value to 0; even if only one temperature sensor is in a normal state, the management module can still estimate the loop temperature based on a single water temperature estimation algorithm.

[0074] In some embodiments, if the water pump flow rate in the coolant circuit is in an abnormal state, the water temperature estimation algorithm that depends on the water pump flow rate will be treated as an abnormal estimation algorithm, and the algorithm weight corresponding to the abnormal estimation algorithm will be reduced. The final algorithm weights are as follows: , , , .

[0075] In some embodiments, if the water temperature sensor installed at the secondary inlet is in an abnormal state, the water temperature estimation algorithm corresponding to that sensor is treated as an abnormal estimation algorithm, and the algorithm weight corresponding to the abnormal estimation algorithm is reduced, i.e., reduced. , The corresponding algorithm weights are respectively, so that the final algorithm weights are as follows: , , , .

[0076] Optionally, the management module is further configured to: if the target diagnostic signal satisfies the first soft fault condition or the second soft fault condition, perform low-pass filtering on the target diagnostic signal before executing the thermal management strategy.

[0077] In some embodiments, if the target diagnostic signal meets the first soft fault condition or the second soft fault condition, the current fault level of the target diagnostic signal is set to the signal abnormality level to trigger the management module to execute the following instructions: apply an enhanced first-order low-pass filter to the target diagnostic signal, temporarily increasing the filter time constant from 100ms under normal operating conditions to 500ms, so that it can effectively filter out interference caused by instantaneous signal spikes, glitches and jumps without affecting the normal temperature change trend; control the coolant circuit according to the normal thermal management strategy based on the filtered target diagnostic signal; perform fault detection on the target temperature sensor based on the cross signal characteristics between each temperature sampling signal to obtain the fault detection result; the fault light corresponding to the electronic control system is in an off state and the fault code of the electronic control system is not stored; if the target diagnostic signal does not meet the fault judgment condition within 10s, the current fault level of the target diagnostic signal is set to the normal level.

[0078] Optionally, the management module is further configured to: if the target diagnostic signal within the target time period meets any fault determination condition, and the duration of the target time period is greater than or equal to a preset abnormal duration threshold, then obtain the component temperature threshold corresponding to the heat source component; if the temperature sampling signal corresponding to the heat source component is less than the component temperature threshold, then execute the corresponding thermal management strategy according to the circuit temperature to control the coolant circuit; if the temperature sampling signal corresponding to the heat source component is greater than or equal to the component temperature threshold, then execute the corresponding thermal management strategy according to the temperature sampling signal corresponding to the heat source component to control the coolant circuit.

[0079] In some embodiments, the target diagnostic signal within a target time period satisfies any fault determination condition, and the duration of the target time period is greater than or equal to a preset abnormal duration threshold, including: the duration for which the target diagnostic signal satisfies a hard fault condition exceeds 500ms; the duration for which the target diagnostic signal satisfies a first soft fault condition exceeds 200ms; the duration for which the target diagnostic signal satisfies any feature verification item exceeds 5s; and the duration for which the target diagnostic signal satisfies at least two feature verification items exceeds 2s.

[0080] In some embodiments, if the target diagnostic signal within the target time period meets any fault determination condition, and the duration of the target time period is greater than or equal to a preset abnormal duration threshold, then the current fault level of the target diagnostic signal is set to the sensor abnormal level, triggering the management module to execute the following instructions: store the fault code of the electronic control system; if the temperature sampling signal corresponding to the heat source component is less than the component temperature threshold, then execute the corresponding thermal management strategy according to the circuit temperature to control the coolant circuit; if the temperature sampling signal corresponding to the heat source component is greater than or equal to the component temperature threshold, then execute the corresponding thermal management strategy according to the temperature sampling signal corresponding to the heat source component to control the coolant circuit.

[0081] In some embodiments, if the junction temperature sampling signal of the motor controller is less than the component temperature threshold (e.g., 105°C), the corresponding thermal management strategy is executed according to the loop temperature to control the coolant loop, wherein the higher the loop temperature, the greater the heat dissipation power of the coolant loop; if the junction temperature sampling signal of the motor controller is greater than or equal to the component temperature threshold, the execution of the corresponding thermal management strategy according to the loop temperature is prohibited, and the heat dissipation power of the coolant loop is directly adjusted to the maximum.

[0082] In some embodiments, in order to select appropriate loop temperature data, a macroscopic level basic fault detection is constructed based on fault judgment conditions. The specific triggering logic is as follows: (1) If the target diagnostic signal does not meet any fault judgment conditions, the target diagnostic signal is used as the real "loop temperature of the coolant loop". Based on this real water temperature, conventional PID (Proportional-Integral-Derivative) closed-loop control is executed to adjust the speed of the cooling fan and the electric water pump; (2) If the target diagnostic signal meets the hard fault conditions, it is determined that the sensor has suffered physical damage such as open circuit / short circuit. The signal of the sensor is discarded, and the fusion estimation module is started to estimate the current loop temperature based on other multi-source temperature sampling signals. The "estimated temperature" is used as reliable alternative data to execute the thermal management strategy under the degraded state; (3) If the target diagnostic signal meets the first soft fault condition and the second soft fault condition at the same time, it is determined that the sensor has experienced signal drift or severe jump. The loop temperature is estimated based on other multi-source sampling signals to avoid erroneous high temperature signals.

[0083] In some embodiments, in order to ensure the absolute physical safety of the electric drive system, in addition to the basic fault detection at the macro level, a low-level hardware protection mechanism is set according to the fault judgment conditions and duration. The specific triggering logic is as follows: (1) If the target diagnostic signal meets the first soft fault condition or the second soft fault condition, then an enhanced first-order low-pass filter is applied to the target diagnostic signal; (2) If the target diagnostic signal meets any fault judgment condition, and the abnormal state continues to exist on the time axis, making the duration of the target time period greater than the preset abnormal duration threshold, then a thermal management strategy is executed according to the basic fault detection at the macro level; (3) If the temperature sampling signal of any heat source component is greater than or equal to the component temperature threshold, then executing a thermal management strategy according to the basic fault detection at the macro level will cause hardware damage. Instead of relying on the circuit temperature to execute the thermal management strategy, the highest level of cooling demand is triggered. For example, the water pump and fan are forced to run at 100% full power and full speed to ensure the safety of the vehicle electric drive system.

[0084] Combination Figure 4 As shown, this application provides an electric drive thermal management method for vehicles, comprising: Step S401: Using temperature sensors corresponding to multiple data sampling sources, the temperature corresponding to the data sampling source is collected to obtain a temperature sampling signal; The data sampling sources include one or more heat source components installed in the electric drive system, and one or more water temperature acquisition areas installed in the coolant circuit; The coolant circuit is used to dissipate heat from various heat source components through coolant. The water temperature acquisition area includes the main inlet of the coolant circuit; Step S402: Perform fault detection on the target temperature sensor based on the cross signal characteristics between each temperature sampling signal to obtain the fault detection result; The target temperature sensor is a temperature sensor installed at the main water inlet. The electric drive thermal management method for vehicles provided in this application uses the heat source components in the electric drive system and the preset water temperature acquisition area in the coolant circuit as data sampling sources. Temperature sampling signals corresponding to each data sampling source are collected, and then the cross-signal characteristics between the temperature sampling signals are used to detect faults in the target temperature sensor located at the main inlet of the coolant circuit, obtaining the fault detection result. In this way, compared to sensor fault detection based on a single data source, by introducing temperature sampling from multiple heat source components and different water temperature acquisition areas in the coolant circuit within the electric drive system, temperature sampling signals from different data sources are obtained. Then, the cross-signal characteristics between the temperature sampling signals are extracted to detect faults in the target temperature sensor located at the main inlet of the coolant circuit. By constructing a multi-source temperature information cross-validation mechanism, the reference range for fault detection is expanded, thereby improving the reliability of sensor fault determination.

[0085] This application also provides a vehicle terminal, including: a processor and a memory; the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the vehicle terminal performs the above-described method.

[0086] Figure 5 A schematic diagram of a computer system suitable for implementing the vehicle terminal embodiments of this application is shown. It should be noted that... Figure 5 The computer system 500 of the vehicle terminal shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0087] like Figure 5 As shown, the computer system 500 includes a Central Processing Unit (CPU) 501, which can perform various appropriate actions and processes, such as executing the methods described in the above embodiments, based on programs stored in Read-Only Memory (ROM) 502 or programs loaded from storage portion 508 into Random Access Memory (RAM) 503. The RAM 503 also stores various programs and data required for system operation. The CPU 501, ROM 502, and RAM 503 are interconnected via a bus 504. An Input / Output (I / O) interface 505 is also connected to the bus 504.

[0088] The following components are connected to I / O interface 505: an input section 506 including a keyboard, mouse, etc.; an output section 507 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to I / O interface 505 as needed. Removable media 511, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 510 as needed so that computer programs read from them can be installed into storage section 508 as needed.

[0089] The vehicle terminal disclosed in this embodiment includes a processor, a memory, a transceiver, and a communication interface. The memory and communication interface are connected to the processor and transceiver and complete communication between them. The memory is used to store computer programs, the communication interface is used for communication, and the processor and transceiver are used to run the computer programs, enabling the vehicle terminal to perform the various steps of the above method. The above description and drawings fully illustrate the embodiments of this disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The embodiments represent only possible variations. Unless explicitly required, individual components and functions are optional, and the order of operation may vary. Parts and subsamples of some embodiments may be included in or replace parts and subsamples of other embodiments. Moreover, the terminology used in this application is only for describing embodiments and is not intended to limit the claims. As used in the description of embodiments and claims, the singular forms “a,” “an,” and “the” are intended to equally include the plural forms unless the context clearly indicates otherwise. Similarly, the term “and / or” as used in this application means including one or more of the associated listed items and all possible combinations thereof. Additionally, when used in this application, the term "comprise" and its variations "comprises" and / or "comprising" refer to the presence of stated subsamples, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other subsamples, wholes, steps, operations, elements, components, and / or groups thereof. Without further limitations, an element defined by the phrase "comprising a..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes the element. In this document, each embodiment may focus on the differences from other embodiments, and similar or identical parts between embodiments can be referred to mutually. For methods, products, etc., disclosed in the embodiments, if they correspond to the method section disclosed in the embodiments, the relevant parts can be referred to the description of the method section.

[0090] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0091] The methods and products (including but not limited to devices and equipment) disclosed in the embodiments herein can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units may be merely a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some sub-samples may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be electrical, mechanical, or other forms. Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to implement this embodiment according to actual needs. Furthermore, the functional units in this application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0092] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of the systems, methods, and computer program products according to 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 the specified logical function. 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 consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than those disclosed in the description; sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

Claims

1. An electric thermal management system for vehicles, characterized in that, include: An electric drive system includes one or more heat source components; The coolant circuit includes one or more water temperature acquisition areas, which are used to dissipate heat to each of the heat source components through the flow of coolant. The water temperature acquisition area includes the main inlet of the coolant circuit. The acquisition module includes multiple temperature sensors, which are used to acquire the temperature corresponding to each data sampling source to obtain the temperature sampling signal corresponding to each data sampling source. Each data sampling source includes each heat source component and each water temperature acquisition area. The management module is used to perform fault detection on the target temperature sensor based on the cross signal characteristics between the temperature sampling signals and obtain the fault detection result, wherein the target temperature sensor is a temperature sensor installed at the main water inlet.

2. The electric drive thermal management system for vehicles according to claim 1, characterized in that, The heat source component includes one or more of the following: a drive motor, a vehicle controller, a motor controller, and a DC-DC converter; the temperature sensor includes one or more of the following: A junction temperature sensor is used to acquire the temperature of an insulated gate bipolar transistor (IGBT) to obtain a junction temperature sampling signal, wherein the IGBT is disposed in the motor controller and / or the DC-DC converter; A water temperature sensor is used to collect temperature data from the water temperature acquisition area to obtain a water temperature sampling signal. A heat source sensor is used to collect the temperature of the heat source component and obtain a heat source sampling signal.

3. The electric drive thermal management system for vehicles according to claim 2, characterized in that, The management module performs fault detection on the target temperature sensor based on the cross signal characteristics between the various temperature sampling signals in the following manner: If any of the water temperature sampling signals is greater than any of the heat source sampling signals, then the target temperature sensor is determined to be faulty. If the first temperature difference is outside the preset first threshold range, the target temperature sensor is determined to be faulty. The first temperature difference is calculated based on the junction temperature sampling signal corresponding to the motor controller and the water temperature sampling signal of the main water inlet. If the second temperature difference is outside the preset second threshold range, the target temperature sensor is determined to be faulty. The second temperature difference is calculated based on the heat source sampling signal corresponding to the DC converter and the water temperature sampling signal corresponding to the secondary inlet in the coolant circuit. If the temperature difference between any two of the water temperature sampling signals is greater than or equal to a preset loop temperature difference threshold, then the target temperature sensor is determined to be faulty.

4. The electric drive thermal management system for vehicles according to claim 3, characterized in that, The electric thermal management system for vehicles further includes a threshold calibration module, which is used for: Obtain current operating parameters, wherein the current operating parameters include the output power corresponding to the motor controller and the water pump flow rate of the coolant circuit; Using a preset temperature difference prediction model, a first temperature difference value is predicted based on the current operating parameters to obtain a reference temperature difference value. The temperature difference prediction model is constructed based on a relational graph or a neural network model. The reference temperature difference value and the output power are positively correlated, and the reference temperature difference value and the water pump flow rate are negatively correlated. The first threshold range corresponding to the first temperature difference is obtained by calibration based on the reference temperature difference value.

5. The electric thermal management system for a vehicle according to any one of claims 1 to 4, characterized in that, The management module is also used to execute thermal management strategies in the following ways: Obtain fault determination conditions corresponding to the target diagnostic signal, wherein the target diagnostic signal includes the temperature sampling signal output by the target temperature sensor, the fault determination conditions include hard fault conditions and soft fault conditions, the hard fault condition includes the target diagnostic signal being outside a preset diagnostic signal range, the soft fault condition includes a first soft fault condition and a second soft fault condition, the first soft fault condition includes the signal change rate of the target diagnostic signal being greater than or equal to a preset change rate threshold, and the second soft fault condition includes the fault detection result indicating that the target temperature sensor is an abnormal sensor; If the target diagnostic signal satisfies the hard fault condition or the soft fault condition, the loop temperature of the coolant circuit is estimated based on each of the temperature sampling signals, and the loop temperature of the coolant circuit is determined based on the estimation result. The corresponding thermal management strategy is then executed based on the loop temperature to control the coolant circuit. If the target diagnostic signal does not meet the fault determination condition, the circuit temperature of the coolant circuit is determined based on the target diagnostic signal, and the corresponding thermal management strategy is executed based on the circuit temperature to control the coolant circuit.

6. The electric drive thermal management system for vehicles according to claim 5, characterized in that, The management module estimates the circuit temperature of the coolant circuit based on each of the temperature sampling signals in the following manner: Obtain multiple water temperature estimation algorithms and their respective algorithm weights; Based on the temperature sampling signals, the circuit temperature of the coolant circuit is estimated according to the water temperature estimation algorithm, and the water temperature estimation value is obtained. The estimated water temperature values ​​are weighted according to the weights of each algorithm to obtain the fusion estimated value of the coolant circuit, and the circuit temperature of the coolant circuit is determined based on the fusion estimated value.

7. The electric drive thermal management system for vehicles according to claim 6, characterized in that, The management module is also used for: If any temperature sensor is in an abnormal state, the temperature sampling signal corresponding to the temperature sensor is taken as the abnormal sampling signal, and the water temperature estimation algorithm that depends on the abnormal sampling signal is taken as the abnormal estimation algorithm. If the water pump flow rate of the coolant circuit is in an abnormal flow state, the water temperature estimation algorithm that depends on the water pump flow rate will be used as the abnormal estimation algorithm. The algorithm parameters of the water temperature estimation algorithm that depends on the water pump flow rate include the reference temperature difference between the junction temperature sampling signal and the water temperature sampling signal. The reference temperature difference is determined based on the water pump flow rate of the coolant circuit. Reduce the algorithm weight corresponding to the anomaly estimation algorithm.

8. The electric drive thermal management system for vehicles according to claim 5, characterized in that, The management module is also used for any of the following: If the target diagnostic signal satisfies the first soft fault condition or the second soft fault condition, then the target diagnostic signal is subjected to low-pass filtering before the thermal management strategy is executed. If the target diagnostic signal within the target time period meets any fault determination condition, and the duration of the target time period is greater than or equal to a preset abnormal duration threshold, then the component temperature threshold corresponding to the heat source component is obtained; if the temperature sampling signal corresponding to the heat source component is less than the component temperature threshold, then the corresponding thermal management strategy is executed according to the circuit temperature to control the coolant circuit; if the temperature sampling signal corresponding to the heat source component is greater than or equal to the component temperature threshold, then the corresponding thermal management strategy is executed according to the temperature sampling signal corresponding to the heat source component to control the coolant circuit.

9. A method for electric drive thermal management of a vehicle, characterized in that, include: Using a temperature sensor, the temperature corresponding to each data sampling source is collected to obtain the temperature sampling signal corresponding to each data sampling source. The electric drive system includes one or more heat source components, the coolant circuit includes one or more water temperature acquisition areas, each data sampling source includes each heat source component and each water temperature acquisition area, the water temperature acquisition area is used to dissipate heat to each heat source component through the flow of coolant, and the water temperature acquisition area includes the total inlet of the coolant circuit. Fault detection of the target temperature sensor is performed based on the cross signal characteristics between the temperature sampling signals to obtain the fault detection result, wherein the target temperature sensor is a temperature sensor installed at the main water inlet.

10. A vehicle terminal, comprising: Processor and memory; The memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory to cause the vehicle terminal to perform the electric thermal management method for a vehicle as described in claim 9.

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