New energy automobile high-voltage electronic fan multi-heat-source cooperative intelligent heat management control method and related device

Abstract

The invention discloses a multi-heat-source cooperative intelligent heat management control method for a high-voltage electronic fan of a new energy automobile and a related device. The method comprises the steps of signal acquisition, parallel judgment and cooperative heat management decision making. In the signal acquisition step, environment and temperature signals of a plurality of heat source parts are acquired in real time; in the parallel judgment step, a plurality of fan duty ratio suggested values are output based on the collected signals; in the collaborative decision-making step, a final control signal is generated through fusion according to a priority rule of priority, full stop and maximum taking of a heat load high cooling demand. According to the method, multi-heat-source comprehensive heat dissipation is achieved, operation safety is improved, and part service life is prolonged; frequent starting and stopping of the fan are avoided through hysteresis control, and the driving comfort is optimized; heat dissipation resources are allocated according to needs, and the energy efficiency and endurance are improved; and the method is suitable for different vehicle type configurations and has strong robustness.

Description

Technical Field

[0001] This invention relates to the field of thermal management technology for new energy vehicles, specifically to a method and related device for intelligent thermal management control of multiple heat sources in high-voltage electronic fans of new energy vehicles. Background Technology

[0002] With the rapid development of new energy vehicle technology, the complexity of their thermal management systems has increased significantly. In addition to traditional motors and motor controllers (MCUs), the vehicle also integrates multiple high-voltage, high-power heat-generating components such as on-board chargers (ODCAC), air conditioning systems (related ADAC and SDCAC controllers), and DC-DC converters (DCDC). These components generate a large amount of heat during operation, and insufficient heat dissipation will directly affect their efficiency, reliability, and service life, and may even threaten the safety of the entire vehicle.

[0003] Currently, control strategies for high-voltage electric fans in existing technologies are typically simple and isolated. Most solutions still rely on a single parameter for control, such as monitoring only the motor water temperature or MCU temperature, and setting simple switching thresholds or limited graded speed control thresholds. This traditional control method has several obvious technical drawbacks: Incomplete thermal management technology poses a risk of overheating: single-parameter control strategies cannot fully perceive the real-time status of multiple heat-generating components in the vehicle. For example, when the MCU temperature is normal but the ODCAC temperature rises sharply under high-power charging, the fan control logic based on motor temperature may fail to start or accelerate in time, leading to localized overheating of components such as the ODCAC, affecting their performance and lifespan.

[0004] Unintelligent thermal management control impacts comfort and component lifespan: Control methods based on fixed thresholds easily lead to frequent fan starts, stops, or speed switching near critical temperature points. These frequent, abrupt changes generate unpleasant noise and increase mechanical wear and electrical stress on the fan drive mechanism, reducing the fan's lifespan.

[0005] Low energy efficiency and failure to achieve on-demand cooling: The simple control logic cannot accurately adjust the fan speed according to the overall heat load of the vehicle. This may result in the fan running at a high speed when some components need cooling while others do not, causing unnecessary energy waste; or when multiple components generate heat and the total heat load is large, the fan speed may not be sufficient to provide adequate cooling, affecting the energy utilization efficiency and driving range of the vehicle.

[0006] Therefore, there is an urgent need in this field for a new fan predictive thermal management control method that can comprehensively consider the state of multiple heat sources in the vehicle and achieve intelligent, stable and efficient heat dissipation, in order to solve the shortcomings of the existing technology. Summary of the Invention

[0007] In view of the shortcomings in the background technology, the present invention provides a multi-heat source collaborative intelligent thermal management control method for high-voltage electronic fans in new energy vehicles.

[0008] The technical solution adopted in this invention is: a multi-heat source coordinated intelligent thermal management control method for high-voltage electronic fans in new energy vehicles, comprising the following steps: S1. Signal Acquisition Steps: In wake-up mode, the vehicle controller acquires ambient temperature signals and temperature signals from multiple heat source components of the vehicle in real time. S2. Parallel Judgment Step: Based on the collected signals, multiple independent judgment conditions are executed in parallel. Each judgment condition is based on the temperature signal of at least one of the heat source components and / or the air conditioning system status signal, and outputs a corresponding fan duty cycle suggestion value. S3. Collaborative Decision-Making Step: The multiple duty cycle suggestions output by the multiple judgment conditions are fused and decided according to a preset priority rule to generate the final fan duty cycle control signal; wherein, the priority rule includes: High heat load cooling demand priority rule: If at least one of the multiple duty cycle suggested values ​​reaches the preset high speed value, then the final fan duty cycle control signal is the high speed value; Full stop rule: If all of the suggested duty cycle values ​​are zero, then the final fan duty cycle control signal is zero; The rule of taking the largest value: If the rule of prioritizing high heat load and cooling demand and the rule of complete shutdown are not met, then the final fan duty cycle control signal is the maximum value among the multiple duty cycle suggestions.

[0009] Furthermore, the plurality of heat source components include at least two of the following: a motor controller, a motor, an on-board charger, an air conditioning controller, an auxiliary drive controller, and a DC-DC converter.

[0010] Furthermore, in the parallel judgment step, for at least one of the judgment conditions, when the temperature signal on which it is based is in a preset intermediate temperature range, a hysteresis control logic is used to output a duty cycle suggestion value, that is, the current output duty cycle suggestion value depends on the previous output duty cycle suggestion value.

[0011] Furthermore, both the judgment condition based on the motor controller temperature and the judgment condition based on the motor temperature adopt the aforementioned hysteresis control logic.

[0012] Furthermore, the parallel judgment step includes judgment based on the air conditioning mode and the state of the medium-pressure switch: When the air conditioner is in cooling mode and the ambient temperature is higher than the first ambient temperature threshold, the recommended value for the output duty cycle is the first non-zero value. When the air conditioner is in cooling mode and the medium pressure switch is off, the recommended duty cycle value for the output is the high-speed setting value. When the air conditioner is in non-cooling mode, the recommended duty cycle value is zero.

[0013] Furthermore, the parallel judgment step includes judging based on the temperature of at least one of the following components: on-board charger, air conditioning controller, auxiliary drive controller, or DC-DC converter. When the ambient temperature is higher than the second ambient temperature threshold and the component temperature reaches the first component temperature threshold, the recommended value for the output duty cycle is the second non-zero value; when the component temperature reaches the second component temperature threshold, which is higher than the first component temperature threshold, the recommended value for the output duty cycle is the third non-zero value. When the ambient temperature is not higher than the second ambient temperature threshold and the component temperature reaches the first component temperature threshold, the recommended duty cycle value for the output is the fourth non-zero value; when the component temperature reaches the second component temperature threshold, the recommended duty cycle value for the output is the fifth non-zero value.

[0014] Furthermore, the method also includes a robustness step: if one or more heat source components corresponding to the judgment conditions are missing in the vehicle configuration, the execution of the judgment conditions corresponding to the missing component is skipped, and no fault is reported.

[0015] This application also provides a vehicle controller, including a memory and a processor. The memory stores a computer program, and when the computer program is executed by the processor, it implements a multi-heat source collaborative intelligent thermal management control method for high-voltage electronic fans in new energy vehicles.

[0016] This application also provides a new energy vehicle, including, for example, a vehicle controller.

[0017] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements a multi-heat-source collaborative intelligent thermal management control method for high-voltage electronic fans in new energy vehicles.

[0018] The beneficial effects of this invention are: 1. Significantly Enhanced Comprehensiveness and Safety of Thermal Management in New Energy Vehicles: By comprehensively monitoring multiple key heat sources, including the motor, motor controller (MCU), on-board charger (ODCAC), air conditioning system (ADCAC, SDCAC), and DC-DC converter (DCDC), the limitations of traditional single-parameter control have been completely overcome. This solution ensures that any component at risk of high temperature can be detected in a timely manner and the corresponding level of cooling can be activated, effectively avoiding localized overheating of components such as ODCAC and DCDC under specific operating conditions. This greatly improves the operational reliability, service life of various high-voltage components, and the overall safety of the vehicle.

[0019] 2. Intelligent and stable control, optimizing user experience and component lifespan: This invention innovatively introduces "hysteresis control" logic into some judgment conditions (such as judgments based on MCU and motor temperature). When the temperature is in the middle range, the fan speed decision will refer to the previous state, effectively preventing frequent starts, stops, or speed jumps of the fan near the critical temperature threshold. This not only significantly reduces the uncomfortable noise caused by sudden changes in fan speed and improves driving comfort, but also reduces mechanical wear and electrical stress on the fan drive mechanism, extending the service life of the fan itself.

[0020] 3. Significantly optimized energy efficiency: Based on the collaborative decision-making rule of "prioritizing cooling demand when the heat load is high, shutting down all systems, and taking the largest amount", the system can accurately allocate heat dissipation resources as needed according to the real-time comprehensive heat load of the vehicle.

[0021] The principle of prioritizing cooling needs under high heat loads ensures that the system can respond immediately when any component requires strong heat dissipation, thus avoiding insufficient heat dissipation.

[0022] The principle of prioritizing the maximum ensures that the fan speed always meets the high cooling requirements of the hottest component, avoiding insufficient heat dissipation due to insufficient cooling capacity.

[0023] The "complete stop" principle ensures that the fan only stops when all components do not require cooling, thus avoiding unnecessary energy waste.

[0024] This intelligent on-demand thermal management cooling strategy ensures effective heat dissipation while maximizing energy savings, which is significant for improving the driving range of new energy vehicles.

[0025] 4. Strong system adaptability and robustness: The design of the solution fully considers the flexibility of engineering applications. The remarks clearly state that "if the vehicle configuration does not have any one or more of the judgment conditions, no fault will be reported," which means that the control method can be seamlessly adapted to different vehicle configurations (such as low-end models that may lack certain components), has good versatility and fault tolerance, and reduces the complexity of application and maintenance.

[0026] In summary, this invention systematically solves the three core problems of incomplete cooling, unstable control, and low energy efficiency in existing technologies by using multi-heat source collaborative thermal management decision-making and intelligent control logic, thereby achieving a comprehensive improvement in heat dissipation safety, comfort, economy, and adaptability.

[0027] In addition to the objectives, features and advantages described above, the present invention has other objectives, features and advantages. Detailed Implementation

[0028] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0029] It should be noted that if the embodiments of the present invention involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are only used to explain the relative positional relationship and movement of the components in a specific posture. If the specific posture changes, the directional indications will also change accordingly.

[0030] This invention provides a multi-heat-source collaborative intelligent thermal management control method for high-voltage electronic fans in new energy vehicles.

[0031] In this embodiment, the multi-heat-source collaborative intelligent thermal management control method for high-voltage electronic fans in new energy vehicles includes the following steps: S1. Signal Acquisition Steps: In wake-up mode, the vehicle controller acquires ambient temperature signals and temperature signals from multiple heat source components of the vehicle in real time. S2. Parallel Judgment Step: Based on the collected signals, multiple independent judgment conditions are executed in parallel. Each judgment condition is based on the temperature signal of at least one of the heat source components and / or the air conditioning system status signal, and outputs a corresponding fan duty cycle suggestion value. S3. Collaborative Decision-Making Step: The multiple duty cycle suggestions output by the multiple judgment conditions are fused and decided according to a preset priority rule to generate the final fan duty cycle control signal; wherein, the priority rule includes: High heat load cooling demand priority rule: If at least one of the multiple duty cycle suggested values ​​reaches the preset high speed value, then the final fan duty cycle control signal is the high speed value; Full stop rule: If all of the suggested duty cycle values ​​are zero, then the final fan duty cycle control signal is zero; The rule of taking the largest value: If the rule of prioritizing high heat load and cooling demand and the rule of complete shutdown are not met, then the final fan duty cycle control signal is the maximum value among the multiple duty cycle suggestions.

[0032] In the above technical solution, the vehicle controller (VMC) processes multiple heat source signals in parallel, generating independent heat dissipation requirement suggestions (i.e., PWM duty cycle suggestion values) for each component. These parallel suggestions are then fused using a set of preset priority decision rules (high heat load, high cooling demand priority; all components shut down; largest value selected), ultimately outputting a unified control signal that meets the most demanding heat dissipation requirements. Essentially, this is a rule-based, multi-input, single-output intelligent decision-making system. It achieves systematic and intelligent vehicle thermal management. It solves the problem that traditional single-parameter control cannot adequately address multiple heat sources, ensuring comprehensive and safe heat dissipation behavior (any component at high temperature can be responded to). Simultaneously, its decision logic ensures that fan speed is always "allocated on demand," avoiding unnecessary energy waste and insufficient heat dissipation, thereby improving the vehicle's energy efficiency and safety.

[0033] Example: After the vehicle controller (VMC) of a pure electric vehicle is woken up, it continuously collects signals such as ambient temperature (T0=25℃), motor controller (MCU) temperature (T1=62℃), motor temperature (T2=88℃), air conditioning status (off), on-board charger (ODCAC) temperature (45℃), and DC-DC converter (DCDC) temperature (58℃). Then, it executes various judgment conditions in parallel (e.g., selecting the highest temperature): Based on the MCU temperature (referencing logic table 1 for ambient temperature range 10-30℃, temperature range 60-65℃), it suggests the PWM value to be "80% if last time it was 80%, otherwise 40%". Assuming the last value was 30%, the current suggested value is 40%; based on the motor temperature (ambient temperature range 10-30℃, temperature range 85-90℃), it suggests the PWM value to be 40%; the air conditioning status is suggested to be 0; and the DCDC temperature (ambient temperature ≤30℃, temperature ≥55℃) suggests the PWM value to be 30%. During collaborative decision-making, the number of no suggested values ​​reaches 90%, but it is not all zero. Therefore, the "largest value principle" is applied, and the final PWM output is 40% of the maximum value, at which the fan runs at this speed.

[0034] For specific choices, please refer to the following logic table 1: 1. Determine the condition based on the temperature of the MCU (motor controller).

[0035] 2. Judging conditions based on motor temperature

[0036] 3. Determine conditions based on air conditioning mode and medium-pressure switch status.

[0037] 4. Determine the conditions based on ODCAC (On-board Charger) temperature.

[0038] 5. Temperature judgment conditions based on ADAC (Air Conditioning Controller)

[0039] 6. Based on the temperature judgment conditions of SDCAC (Auxiliary Drive Controller)

[0040] 7. Determining conditions based on DC-DC (Direct-to-Cathode Detector) temperature.

[0041] The final rule for collaborative decision-making: The PWM suggestion values ​​output from the above seven conditions are merged according to the following priority rules to generate the final control signal: Prioritize cooling for high heat load: If any condition is recommended to be 90% (i.e., high speed setting), the final output will be 90%.

[0042] All Stop: If all suggested values ​​are 0, the final output will be 0.

[0043] Take the largest: If neither of the above two conditions is met, the final output will be to select the condition with the largest temperature for execution. For example, if the temperature of the MCU (motor controller) is the largest among the seven judgment conditions, the judgment condition based on the temperature of the MCU (motor controller) will be selected for execution.

[0044] Additionally, it should be noted that the "high-speed setting value" in the above-mentioned priority given to high heat load and cooling demand is defined as 90%. This means that if at least one of the multiple suggested duty cycle values ​​reaches the preset high-speed setting value, then the final fan duty cycle control signal is the high-speed setting value. Preferably, the high-speed setting value is 90%. The 'high speed setting' is a preset, fixed value that represents the command for the fan to run at its highest speed. Its specific value is determined based on the following: The criteria for judging the air conditioner status clearly state "cooling mode and medium-pressure switch off, fan PWM output 90%". This is the highest priority cooling command when the air conditioning system pressure is too high and there is a safety risk.

[0045] According to the MCU temperature judgment conditions, when the ambient temperature is higher than 30℃ and the MCU temperature is higher than 65℃, the PWM signal is specified to be 90%.

[0046] According to the criteria for judging motor temperature, when the ambient temperature is higher than 30℃ and the motor temperature is higher than 95℃, the PWM signal is also specified to be 90%.

[0047] The general rule for collaborative decision-making is clearly summarized as follows: 'When any one of the above 7 judgment conditions meets the requirement of high-speed fan (PWM output 90%), the PWM output is 90%.'

[0048] Based on the above judgment conditions and final decision rules, the 'high-speed gear value' is uniformly defined as 90%. This ensures that when any critical heat source component experiences a high-temperature risk or the system requires maximum heat dissipation capacity, the fan can operate at its highest power, thereby guaranteeing the thermal safety of the entire vehicle. Those skilled in the art will understand that 90% is a preferred calibration value and can be fine-tuned in practical applications according to specific fan models and heat dissipation requirements, but the core principle of it serving as the 'high-speed gear' that triggers the highest heat dissipation level remains unchanged. Specifically, the plurality of heat source components include at least two of the following: a motor controller, a motor, an on-board charger, an air conditioning controller, an auxiliary drive controller, and a DC-DC converter.

[0049] The heat source components of this application include at least two of the following: a motor controller, a motor, an on-board charger, an air conditioning controller, an auxiliary drive controller, and a DC-DC converter.

[0050] For example, an electric hybrid vehicle (EV) is equipped with a motor controller (MCU), a motor, an on-board charger (ODCAC), and a DC-DC converter (DCDC), but does not include an auxiliary drive controller (SDCAC). This control method acquires signals, makes independent judgments, and coordinates decisions for these four existing heat source components, thereby achieving effective thermal management for this vehicle model.

[0051] Specifically, in the parallel judgment step, for at least one of the judgment conditions, when the temperature signal on which it is based is in a preset intermediate temperature range, a duty cycle suggestion value is output using hysteresis control logic, that is, the current output duty cycle suggestion value depends on the previous output duty cycle suggestion value.

[0052] The principle is that when the temperature is in an intermediate range, the current output value depends not only on the current input but also on the previous output state. This is equivalent to adding a "memory function" to the control logic to prevent the system from oscillating at the critical point due to small temperature fluctuations.

[0053] This significantly improves the smoothness of control. It effectively eliminates the problem of frequent fan starts and stops or drastic speed changes near the critical temperature point, thereby reducing unpleasant noise and minimizing mechanical and electrical wear on the fan mechanism, extending its service life.

[0054] Specifically, at an ambient temperature of 20°C, the motor controller (MCU) temperature T1 fluctuates slightly between 61°C and 62°C (within the middle range of 60-65°C). Without hysteresis control, the PWM output might frequently switch between 40% and 0%. With this invention, when T1 first rises from 59°C to 61°C, the PWM jumps from 0% to 40%. Subsequently, when T1 fluctuates between 61-62°C, the system "remembers" the previous output of 40% and maintains it at 40% until the temperature clearly exceeds this range (e.g., below 55°C or above 65°C), thus avoiding frequent operation.

[0055] Specifically, both the judgment condition based on the motor controller temperature and the judgment condition based on the motor temperature adopt the hysteresis control logic.

[0056] In this embodiment, the "hysteresis control" logic is specifically applied to the temperature determination of the two core power components: the motor controller (MCU) and the motor. This is because the MCU and the motor are the most important heat sources with large thermal inertia in the entire vehicle. Their temperature changes are relatively gradual but have a significant impact, making hysteresis control the most suitable and necessary tool to avoid frequent adjustments.

[0057] The thermal management of the most critical powertrain components has been optimized. This ensures the smoothness and reliability of the vehicle's powertrain operation, improving the vehicle's NVH (noise, vibration, and harshness) performance and durability from the most important aspects.

[0058] For example, when a vehicle is moving slowly in congested traffic, the motor and MCU continuously generate heat, with their temperatures hovering around the critical range of 85°C to 87°C (for the motor) and 60°C to 62°C (for the MCU). Based on the control method of this claim, the fan speed control of these two components will remain relatively stable and will not change continuously due to minor temperature fluctuations, providing the driver with a smoother and quieter driving experience.

[0059] Specifically, the parallel judgment step includes judgments based on the air conditioning mode and the status of the medium-pressure switch: When the air conditioner is in cooling mode and the ambient temperature is higher than the first ambient temperature threshold, the recommended value for the output duty cycle is the first non-zero value. When the air conditioner is in cooling mode and the medium pressure switch is off, the recommended duty cycle value for the output is the high-speed setting value. When the air conditioner is in non-cooling mode, the recommended duty cycle value is zero.

[0060] In this embodiment, the fan speed is determined by comprehensively considering three parameters: the air conditioner's operating mode (cooling / non-cooling), the ambient temperature, and the system pressure (reflected by the status of the medium-pressure switch). In particular, when the medium-pressure switch is open (indicating that the system's high-pressure side pressure is too high and poses a safety risk), the fan is forced to run at high speed.

[0061] It achieves precise response and safety assurance for the heat dissipation needs of the air conditioning system. It not only considers the heat dissipation of the air conditioner itself, but also adds a layer of safety protection logic to prevent the air conditioning system from being damaged by overheating and high pressure, thereby improving the system's safety.

[0062] For example, in hot summer weather, with an ambient temperature of 38°C, the vehicle's air conditioning system is operating at full capacity. At this time, based on the air conditioning status, the system will output a PWM recommendation value of 50%. If the air conditioning condenser is not dissipating heat properly, causing excessive system pressure and the medium-pressure switch to disconnect, the system will immediately raise the recommendation value to 90%, forcing the fan to run at high speed to reduce pressure and protect the air conditioning system.

[0063] Specifically, the parallel judgment step includes judging the temperature of at least one of the following components: on-board charger, air conditioning controller, auxiliary drive controller, or DC-DC converter. When the ambient temperature is higher than the second ambient temperature threshold and the component temperature reaches the first component temperature threshold, the recommended value for the output duty cycle is the second non-zero value; when the component temperature reaches the second component temperature threshold, which is higher than the first component temperature threshold, the recommended value for the output duty cycle is the third non-zero value. When the ambient temperature is not higher than the second ambient temperature threshold and the component temperature reaches the first component temperature threshold, the recommended duty cycle value for the output is the fourth non-zero value; when the component temperature reaches the second component temperature threshold, the recommended duty cycle value for the output is the fifth non-zero value.

[0064] In this embodiment, the judgment logic for high-voltage accessory components such as the on-board charger (ODCAC), air conditioning controller (ADCAC), auxiliary drive controller (SDCAC), and DC-DC converter (DCDC) is implemented. The principle is to use a two-parameter lookup table method of "ambient temperature + component temperature," setting different component temperature activation thresholds and corresponding fan speeds for different ambient temperatures.

[0065] It enables on-demand, tiered heat dissipation for various high-voltage accessory components. By setting different temperature thresholds and speed levels, it can activate heat dissipation promptly when components require it, while avoiding overcooling, demonstrating refined control and optimized energy efficiency.

[0066] For example, regarding on-board chargers (ODCAC): When the ambient temperature is 35℃ (>30℃), if the ODCAC temperature rises to 51℃ (≥50℃) during fast charging, the first threshold is triggered, and the recommended fan PWM value is 30%. If the temperature continues to rise to 61℃ (≥60℃), the recommended value is increased to 60%. When the ambient temperature is 20℃ (≤30℃), the same 50℃ and 60℃ temperature thresholds correspond to recommended PWM values ​​of 20% and 40% respectively, reflecting the adjustment based on ambient temperature.

[0067] Specifically, the method also includes a robustness step: if one or more heat source components corresponding to the judgment conditions are missing in the vehicle configuration, the execution of the judgment conditions corresponding to the missing component is skipped, and no fault is reported.

[0068] In this embodiment, when certain heat source components are missing in the actual vehicle configuration (such as the lack of an on-board charger (ODCAC) in low-end models), the control system will automatically skip the execution of the judgment conditions corresponding to the missing component and will not regard it as a fault.

[0069] This greatly enhances the versatility and adaptability of the control method. It allows the same control algorithm to seamlessly adapt to different vehicle configurations (high-end and low-end), simplifying software platform development and management, and reducing application and maintenance complexity.

[0070] For example, a certain economy-class pure electric vehicle, in order to reduce costs, does not have an on-board charger (ODCAC). When using this control method, the vehicle controller (VMC) will detect the missing ODCAC component during the initialization phase. When executing the parallel judgment steps, the system will automatically skip the "judgment condition based on ODCAC temperature" and only execute the remaining 6 judgment conditions, making a coordinated decision, and no fault codes will be reported during the entire process.

[0071] This application also provides a vehicle controller, including a memory and a processor. The memory stores a computer program, and when the computer program is executed by the processor, it implements a multi-heat source collaborative intelligent thermal management control method for high-voltage electronic fans in new energy vehicles.

[0072] In this embodiment, the controller loads and runs a specific computer program through the memory and processor, thereby realizing the intelligent collaborative control method at the hardware level.

[0073] For example, a vehicle controller (VMC) with the model number VMCU-2024 has a software program containing control logic burned into its internal Flash memory. When the controller is installed in a vehicle and powered on, one of the cores of its multi-core processor executes the program, collects various temperature signals in real time, and controls the speed of the high-voltage electric fan according to the method described.

[0074] This application also provides a new energy vehicle, including, for example, a vehicle controller.

[0075] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements a multi-heat-source collaborative intelligent thermal management control method for high-voltage electronic fans in new energy vehicles.

[0076] In this embodiment, the medium stores a computer program that can be executed by a processor to implement the above-described intelligent collaborative control method.

[0077] Please note to all technical personnel: Although the present invention has been described according to the specific embodiments above, the ideas of the present invention are not limited to this invention. Any modifications that utilize the ideas of the present invention will be included within the scope of protection of this patent.

Claims

1. A method for intelligent thermal management control of multi-heat source coordinated operation of high-voltage electronic fans in new energy vehicles, characterized in that, Includes the following steps: S1. Signal Acquisition Steps: In wake-up mode, the vehicle controller acquires ambient temperature signals and temperature signals from multiple heat source components of the vehicle in real time. S2. Parallel Judgment Step: Based on the collected signals, multiple independent judgment conditions are executed in parallel. Each judgment condition is based on the temperature signal of at least one of the heat source components and / or the air conditioning system status signal, and outputs a corresponding fan duty cycle suggestion value. S3. Collaborative Decision-Making Step: The multiple duty cycle suggestions output by the multiple judgment conditions are fused and decided according to a preset priority rule to generate the final fan duty cycle control signal; wherein, the priority rule includes: High heat load cooling demand priority rule: If at least one of the multiple duty cycle suggested values ​​reaches the preset high speed value, then the final fan duty cycle control signal is the high speed value; Full stop rule: If all of the suggested duty cycle values ​​are zero, then the final fan duty cycle control signal is zero; The rule of taking the largest value: If the rule of prioritizing high heat load and cooling demand and the rule of complete shutdown are not met, then the final fan duty cycle control signal is the maximum value among the multiple duty cycle suggestions.

2. The multi-heat-source collaborative intelligent thermal management control method for high-voltage electronic fans in new energy vehicles according to claim 1, characterized in that: The plurality of heat source components include at least two of the following: motor controller, motor, on-board charger, air conditioning controller, auxiliary drive controller, and DC converter.

3. The intelligent thermal management control method for multi-heat source coordinated operation of high-voltage electronic fans in new energy vehicles according to claim 1, characterized in that: In the parallel judgment step, for at least one of the judgment conditions, when the temperature signal on which it is based is in a preset intermediate temperature range, a duty cycle suggestion value is output using hysteresis control logic, that is, the current output duty cycle suggestion value depends on the previous output duty cycle suggestion value.

4. The multi-heat-source collaborative intelligent thermal management control method for high-voltage electronic fans in new energy vehicles according to claim 3, characterized in that: Both the judgment condition based on the motor controller temperature and the judgment condition based on the motor temperature adopt the hysteresis control logic.

5. The intelligent thermal management control method for multi-heat source collaborative operation of high-voltage electronic fans in new energy vehicles according to claim 1, characterized in that: The parallel judgment step includes judgments based on the air conditioning mode and the status of the medium-pressure switch: When the air conditioner is in cooling mode and the ambient temperature is higher than the first ambient temperature threshold, the recommended value for the output duty cycle is the first non-zero value. When the air conditioner is in cooling mode and the medium pressure switch is off, the recommended duty cycle value for the output is the high-speed setting value. When the air conditioner is in non-cooling mode, the recommended duty cycle value is zero.

6. The intelligent thermal management control method for multi-heat source collaborative operation of high-voltage electronic fans in new energy vehicles according to claim 1, characterized in that: The parallel judgment step includes judging the temperature of at least one of the following components: on-board charger, air conditioning controller, auxiliary drive controller, or DC-DC converter. When the ambient temperature is higher than the second ambient temperature threshold and the component temperature reaches the first component temperature threshold, the recommended value for the output duty cycle is the second non-zero value. When the temperature of this component reaches the second component temperature threshold, which is higher than the first component temperature threshold, the recommended value for the output duty cycle is the third non-zero value. When the ambient temperature is not higher than the second ambient temperature threshold and the component temperature reaches the first component temperature threshold, the recommended value for the output duty cycle is the fourth non-zero value. When the temperature of this component reaches the second component temperature threshold, the recommended value for the output duty cycle is the fifth non-zero value.

7. The intelligent thermal management control method for multi-heat source collaborative operation of high-voltage electronic fans in new energy vehicles according to claim 1, characterized in that: The method also includes a robustness step: if one or more heat source components corresponding to the judgment conditions are missing in the vehicle configuration, the execution of the judgment conditions corresponding to the missing component is skipped, and no fault is reported.

8. A vehicle controller, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, it implements the multi-heat source collaborative intelligent thermal management control method for high-voltage electronic fans in new energy vehicles as described in any one of claims 1 to 7.

9. A new energy vehicle, characterized in that, It includes the vehicle controller as described in claim 8.

10. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, implements the multi-heat-source collaborative intelligent thermal management control method for high-voltage electronic fans in new energy vehicles as described in any one of claims 1 to 7.

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