Operating mode of an electric vehicle

CN123025606APending Publication Date: 2026-11-03FORD GLOBAL TECH LLC
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Patent Information

Application Number
CN202610572193.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2025-05-02
Filing Date
2026-04-28
Publication Date
2026-11-03

AI Technical Summary

Technical Problem

Existing methods for managing noise emissions from parked electric vehicles are difficult to effectively reduce in various environments, especially in residential areas or at night. Traditional methods mainly focus on interior cabin noise or external driving noise, failing to adequately consider noise management when the vehicle is stationary.

Method used

By using sensors such as position detection, time detection, and charging status detection, combined with temperature and noise level limits, the operation of pumps, fans, and compressors is dynamically controlled to achieve fine management of noise output. This includes the use of GPS sensors, sunlight sensors, external time signals, and actuators to ensure that noise meets limits in different environments and time periods.

Benefits of technology

It enables noise output management in different environments and time periods, reduces noise interference from stationary electric vehicles, maintains vehicle thermal management efficiency and user convenience, and adapts to the needs of various noise-sensitive areas.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present disclosure provides systems and methods for controlling noise output of an electric vehicle. The systems and methods described herein include detecting a location of the electric vehicle using a location detection device; detecting a time of day; determining whether the electric vehicle is connected to an electric vehicle supply equipment. The systems and methods described herein also include providing a control device configured to control operation of at least one of a pump, a fan, and a compressor; determining an ambient temperature surrounding the electric vehicle using a temperature determination device; determining a desired temperature of at least one of a traction battery and a vehicle cabin; determining an external noise level limit based on the location of the electric vehicle, the time of day, and whether the electric vehicle is connected to an electric vehicle supply equipment.
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Description

Technical Field

[0001] This disclosure relates to noise reduction in electric vehicles, and more specifically, to control strategies for mitigating externally radiated noise emissions from parked electric vehicles during battery heating and cooling operations and cabin heating and cooling operations. Background Technology

[0002] In recent years, electric vehicles (EVs) have become increasingly popular alongside traditional internal combustion engine vehicles. EVs use rechargeable battery packs to power electric motors for propulsion. These battery packs require thermal management to maintain optimal performance and lifespan. Additionally, EV cabins typically utilize electric heating and cooling systems rather than engine heating for climate control.

[0003] Even when the EV is parked and not in use, various systems can still operate periodically to regulate the battery pack or the cabin. For example, the battery thermal management system can be activated to heat or cool the battery cells to keep them within an ideal temperature range. The cabin pre-conditioning system can also operate to regulate the interior temperature before the scheduled departure time. These conditioning operations may involve the use of pumps, fans, compressors, and other components that generate noise.

[0004] In residential areas or other noise-sensitive locations, sound emissions from parked EVs undergoing conditioning cycles can potentially cause disturbances, especially at night. With increasing EV adoption, the cumulative noise from multiple parked vehicles in a given area can become more pronounced. Current EV designs may not adequately account for minimizing these stationary noise emissions in all situations.

[0005] Existing methods for reducing EV noise typically focus on minimizing interior cabin noise or external driving noise. However, the unique scenario of a stationary EV periodically operating its conditioning system while parked can present different acoustic challenges. Summary of the Invention

[0006] The present invention is provided to introduce the selected concept in a simplified form, which will be further described in the following detailed description.

[0007] In a first aspect, a method for controlling the noise output of an electric vehicle is provided. The method includes: detecting the position of the electric vehicle using a position detection device; detecting the time of day; determining whether the electric vehicle is connected to an electric vehicle power supply; providing a control device configured to control the operation of at least one of a pump, a fan, and a compressor; determining the ambient temperature around the electric vehicle using a temperature determination device; determining a desired temperature for at least one of a traction battery and a vehicle compartment; determining an external noise level limit based on the electric vehicle's position, the time of day, and whether the electric vehicle is connected to an electric vehicle power supply; setting an operational limit for at least one of the pump, fan, and compressor based on the external noise level limit and the desired temperature; and controlling the operation of at least one of the pump, fan, and compressor according to the operational limits using the control device. The electric vehicle may be a passenger vehicle, such as a battery electric vehicle (e.g., a passenger car). The electric vehicle may be part of a fleet of electric vehicles (such as battery electric vehicles (e.g., buses or transport vehicles)). In some cases, the noise output may be the aggregated noise output or the average noise output across the fleet of electric vehicles.

[0008] This method allows for dynamic control of vehicle noise output based on multiple contextual factors, including noise liability and vehicle and battery temperature management.

[0009] The location detection device can be a GPS sensor.

[0010] Using GPS for location detection provides accurate positioning information, which allows for the accurate application of location-specific noise limits.

[0011] The steps for detecting the time of day may include using a daylight sensor to determine whether it is daytime or nighttime.

[0012] The combination of a daylight sensor enables automatic adjustment of noise limits based on ambient light conditions (which are typically related to time-based noise limits).

[0013] The steps for detecting the time of day may include using an external time signal.

[0014] Even in situations where sunlight sensors may be unreliable, the use of an external time signal ensures accurate time-based noise limit adjustment.

[0015] The method may further include: determining the duration of vehicle stationary when it is detected that the electric vehicle is not connected to the electric vehicle power supply equipment.

[0016] This feature allows for the differentiation between short-term parking periods and long-term stationary periods, enabling more refined noise control strategies.

[0017] The method may further include: when it is determined that the vehicle has been stationary for a period of time below a threshold time period, delaying the step of using a control device to control the operation of at least one of the pump, fan, and compressor according to operational constraints until the threshold time period has passed.

[0018] This delay mechanism prevents unnecessary noise limitations during brief stops, while maintaining overall system efficiency and user convenience.

[0019] The method may also include modifying external noise level limits when it is determined that the electric vehicle is connected to the electric vehicle power supply equipment.

[0020] Adjusting noise limits during charging allows for optimized temperature management while taking into account the typical stationary nature of charging vehicles.

[0021] The method may also include determining an external noise level limit when it is determined that the electric vehicle is connected to the electric vehicle power supply equipment, regardless of the location of the electric vehicle and the time of day.

[0022] This feature enables consistent noise management during charging, regardless of external factors, which would be beneficial in dedicated charging areas.

[0023] External noise level limits can be set manually by the user.

[0024] Allowing manual user input provides flexibility for specific situations or user preferences, thereby enhancing the system's adaptability.

[0025] The operation of controlling at least one of the pumps, fans, and compressors may include controlling their speed.

[0026] Speed ​​control of these components provides a direct and effective method for managing noise output while maintaining thermal management capabilities.

[0027] The method may further include: providing a data receiving device; receiving an instruction to set an external noise level limit via the data receiving device; and modifying the external noise level limit based on the instruction.

[0028] This feature enables the remote updating of noise limit parameters, allowing for dynamic adjustments based on location-based noise limits and / or environmental conditions.

[0029] Providing a control device may include providing at least one actuator configured to control the operation of at least one of a pump, a fan, and a compressor.

[0030] Using actuators for component control enables accurate and responsive adjustments to keep noise levels within set limits.

[0031] The method may also include: measuring the noise output of the electric vehicle; determining whether the noise output of the electric vehicle exceeds the external noise level limit; and modifying the operating limits of at least one of the pump, fan, and compressor.

[0032] Alternatively or additionally, the method may include: measuring the noise output of the charger for the electric vehicle; determining whether the noise output of the charger for the electric vehicle exceeds an external noise level limit; and modifying the operating limits of at least one of the charger's pump, fan, and compressor.

[0033] This feedback loop ensures continuous observation with noise limitations by dynamically adjusting component operation based on actual measured noise output.

[0034] In a second aspect, a system for controlling the noise output of an electric vehicle is provided, the system being configured to perform the steps of the method of the first aspect.

[0035] This system enables the integration of hardware and software solutions to effectively manage vehicle noise output in various environments.

[0036] In a third aspect, a vehicle that includes the system of the second aspect is provided.

[0037] Integrating the noise control system directly into the vehicle ensures broad application and consistent noise management across different electric vehicle models and usage scenarios. Attached Figure Description

[0038] Examples of non-restrictive and non-exhaustive approaches are described with reference to the following figures.

[0039] Figure 1 An exemplary processing flow based on the system and method described herein is shown; Figure 2 An exemplary processing flow for operation control according to the system and method described herein is shown; Figure 3 An exemplary processing flow for operation control according to the system and method described herein is shown; Figure 4 An exemplary processing flow for noise monitoring based on the systems and methods described herein is shown; Figure 5 An exemplary processing flow for determining noise distribution according to the system and method described herein is shown; Figure 6 An example of vehicle noise monitoring based on the system and method described herein is shown; and Figure 7 A vehicle incorporating the systems and methods described herein is shown.

[0040] Common reference numerals are used throughout the accompanying drawings to indicate similar features. Detailed Implementation

[0041] This disclosure relates to systems and methods for controlling noise output in electric vehicles and / or their power supply equipment (e.g., chargers) during stationary operation. Electric vehicles typically require various systems (such as battery regulation systems, cabin climate control systems, and charging systems) to operate when the vehicle is stationary. These systems may include components that generate noise (such as pumps, fans, and compressors). The noise generated by these components may need to be managed in specific environments (such as residential areas or at night).

[0042] The systems and methods described herein provide a way to control the operation of noise-generating components in an electric vehicle based on various factors. These factors may include the vehicle's location, time of day, ambient temperature, desired temperatures for vehicle components or compartments, and whether the vehicle is connected to a charging device. By taking these factors into account, the systems and methods can adjust the operation of the noise-generating components to keep noise levels within acceptable limits while still meeting the vehicle's operational requirements.

[0043] Figure 1 A flowchart of a method 100 for controlling the noise output of electric vehicles (or electric vehicle fleets) is shown.

[0044] Method 100 begins with step 110, which involves using a position detection device to detect the position of the electric vehicle. The position detection device may include a GPS sensor or other suitable positioning system.

[0045] Method 100 proceeds to step 115, which involves detecting the time of day. This can be achieved using a daylight sensor to determine whether it is day or night, or by receiving an external time signal.

[0046] In step 120, method 100 determines whether the electric vehicle is connected to an electric vehicle power supply device. This information is used to adjust noise control parameters based on the vehicle's charging status.

[0047] Method 100 includes step 125 of providing a control device configured to control the operation of at least one of a pump, a fan, and a compressor. These components are typically noise sources in electric vehicles (particularly during battery and cabin conditioning operations).

[0048] In step 130, method 100 uses a temperature determining device to determine the ambient temperature around the electric vehicle. This information is used to assess the need for thermal management operations.

[0049] Method 100 proceeds to step 135, which determines a desired temperature for at least one of the traction battery and the vehicle compartment. This desired temperature is used as a target for the thermal management system.

[0050] In step 140, method 100 determines an external noise level limit based on the location of the electric vehicle, the time of day, and whether the electric vehicle is connected to an electric vehicle power supply. This limit takes into account factors such as local noise limits and time of day restrictions.

[0051] Then, method 100 proceeds to step 145, which sets the operation of at least one of the pump, fan, and compressor based on external noise level limits and desired temperature settings. This step balances the needs for thermal management with noise control requirements.

[0052] Finally, in step 150, method 100 uses a control device to control the operation of at least one of the pump, fan, and compressor according to limits. This ensures that the vehicle maintains appropriate thermal conditions while complying with noise limits.

[0053] In some examples, the method may include a step of detecting whether an electric vehicle is occupied, which may include determining whether a seat in the electric vehicle is occupied. This can be performed, for example, using one or more detectors inside the passenger compartment and / or the seats of the electric vehicle. Such a vehicle occupancy detection sensor may be part of other systems within the electric vehicle.

[0054] Such detection of seat occupancy in an electric vehicle may include detecting whether the ignition of the electric vehicle is activated (e.g., in an "ignition active" state) or whether the key to the electric vehicle is inside the electric vehicle (e.g., in a "key in vehicle" state). Seat occupancy detection may employ some or all of these detection methods, individually or in combination.

[0055] If it is determined that the vehicle is occupied, the step of controlling the operation of at least one of the pumps, fans, and compressors is cancelled. This could be for the comfort of the vehicle occupants or for the management of the electric vehicle's electrical system. As a result, if the vehicle is occupied, step 150 of method 100 described above is not activated. In the example, if the electric vehicle is occupied in stationary traffic on a warm day, the step of limiting the noise level of the cooling system will not be activated.

[0056] A system for controlling the noise output of an electric vehicle can be configured to perform the steps of the method described above. Such a system may include various sensors, control units, and actuators to implement a noise control strategy. The vehicle may include this noise control system to allow intelligent management of noise emissions during stationary operation and charging.

[0057] The disclosed systems and methods can be implemented in electric vehicles to automatically adjust noise output based on the vehicle's environmental and operating conditions. This helps ensure compliance with noise limits and the vehicle's suitability in noise-sensitive areas or during noise-sensitive times.

[0058] Electric vehicles may include a location detection device for determining the vehicle's position. In some examples, the location detection device includes a GPS sensor. The GPS sensor provides accurate geographic coordinates of the vehicle's position, which can be used to determine the type of environment in which the vehicle is located.

[0059] Location information obtained from GPS sensors can be used to set appropriate noise limits for vehicle operation. For example, the system can identify specific locations or areas designated as noise-sensitive, such as residential communities or campsites. When a vehicle is detected in these areas, stricter noise limits can be applied to the operation of components such as pumps, fans, or compressors.

[0060] In addition to GPS-based location detection, electric vehicles can also utilize onboard image recognition capabilities to determine the type of environment in which the vehicle is located. Image recognition systems can use cameras or other imaging sensors to analyze the vehicle's surroundings. Based on this analysis, the system can classify the location into residential, commercial, rural, or other relevant categories. This classification can then be used to adjust noise limits accordingly.

[0061] The location detection system can also be configured to identify and store frequently accessed locations, such as the owner's home or fleet depot. By identifying these locations, the system can automatically apply appropriate noise reduction strategies when the vehicle is parked or charging in a familiar environment.

[0062] The combination of GPS-based location data and image recognition capabilities allows for more sophisticated noise management approaches. For example, in residential areas identified by GPS coordinates, image recognition systems can further differentiate between densely populated neighborhoods and more dispersed suburbs, thus enabling finely tuned noise control strategies.

[0063] By utilizing these position detection methods, electric vehicles can adjust their noise output to adapt to various environments, thereby balancing the needs of system operation with consideration of the surrounding area and potential noise limitations.

[0064] Electric vehicles can employ various methods to detect the time of day, which is crucial for setting appropriate noise limits for different time periods. One such method involves using a daylight sensor. The daylight sensor can be configured to detect ambient light levels, allowing the system to distinguish between daytime and nighttime conditions. This information can be used to automatically adjust noise limits based on whether it is day or night, potentially enabling tighter noise control during nighttime hours when ambient noise levels are typically lower and noise interference may be more pronounced.

[0065] In addition to using daylight sensors, electric vehicles can also utilize a real-time clock (RTC) to align daytime time with local limits. The RTC provides accurate time information, allowing the system to determine a specific time of day. This capability enables the vehicle to adjust its noise control strategy based on local time-based noise limits, which can specify different acceptable noise levels for daytime and nighttime.

[0066] Another method for determining the time of day involves using an external time signal. Electric vehicles can be equipped with a receiver capable of obtaining time information from external sources such as GPS satellites or cellular networks. This external time signal provides highly accurate and location-specific time data, ensuring that the vehicle's noise control system operates based on the correct local time (even when crossing time zones or in areas where daylight conditions may not accurately reflect the time of day).

[0067] By combining these time-sensing methods, electric vehicles can create robust systems for determining appropriate time-based noise limits. For example, the system can primarily rely on an RTC and an external time signal to obtain accurate time information, while using a daylight sensor as supplementary input to account for variations in natural light conditions that may affect perceived noise levels. This multifaceted time-sensing approach allows the vehicle to effectively adjust its noise output at different times of day and in different geographical locations, thereby ensuring compliance with local noise limits and minimizing interference in noise-sensitive environments.

[0068] Electric vehicles may include a charging status detection system to determine whether the vehicle is connected to an electric vehicle power supply unit (EVSE). This detection system can utilize various methods to determine the vehicle's charging status.

[0069] In some examples, the charging status detection system may include a voltage sensor connected to the vehicle's charging port. When the vehicle is plugged into the EVSE, the voltage sensor can detect the presence of voltage at the charging port (indicating that the vehicle is connected to a charging station).

[0070] Alternatively, the state-of-charge detection system may include a current sensor to measure the current flow from the EVSE to the vehicle's battery. The presence of current flow confirms that the vehicle is not only connected but also actively charging.

[0071] The charging status information obtained from these sensors can be used to modify the external noise level limits for the vehicle's noise-generating components and operational decisions. When an electric vehicle is identified as connected to the EVSE, the system can set external noise level limits regardless of the vehicle's location or time of day. This approach recognizes that vehicles in a charging location may have different noise tolerances compared to other stationary vehicles.

[0072] In some examples, the external noise level limits can be modified when the vehicle is connected to the EVSE. This modification allows for higher noise levels during charging operations, as charging locations are typically designed to accommodate the operational needs of electric vehicles.

[0073] The state-of-charge (SOC) monitoring system can also distinguish between different types of charging, such as AC charging and DC fast charging. This distinction is made by analyzing the charging current characteristics. For DC fast charging, which typically involves higher current levels, the system can tolerate higher noise radiation during these short-duration charging sessions. This allows for an understanding of the transient nature of fast charging and the potential need to increase cooling system operation to manage battery temperature during fast charging.

[0074] By incorporating state-of-charge detection into the noise control system, electric vehicles can adjust their noise output strategy based on their state of charge, thereby balancing the need for efficient charging operation with appropriate noise management in various environments.

[0075] exist Figure 2 The diagram illustrates a method 200 for controlling operation in an electric vehicle based on its stationary state and connection to a power supply. Step 210 of method 200 involves determining whether the electric vehicle is connected to an electric vehicle power supply. This determination is crucial for adjusting noise control parameters based on the vehicle's state of charge.

[0076] After determining the vehicle's connection status, step 220 of method 200 involves determining whether the electric vehicle is stationary. This step is important for assessing the need for noise control measures, as stationary vehicles may be subject to different noise restrictions compared to moving vehicles.

[0077] The determination step 225 of method 200 assesses whether the electric vehicle has been stationary for an extended period exceeding a threshold time. This threshold time may be set based on local limitations or operational considerations. If the electric vehicle has been stationary for a period less than the threshold time, step 230 of method 200 involves delaying the operation of at least one of the pump, fan, and compressor using a control device according to limitations. This delay allows for short-term operation without triggering noise control measures.

[0078] In some examples, method 200 may include running the system under high load for a short duration (e.g., 9.5 minutes) before sloping down to meet noise limits. This approach allows for effective thermal management or battery regulation while still adhering to noise limits over a longer period.

[0079] If step 225 determines that the electric vehicle has been stationary for an extended period of time beyond a threshold, then step 240 of method 200 involves using a control device to control the operation of at least one of the pump, fan, and compressor according to a limit. This step ensures that noise control measures are implemented during the extended period of stationary operation.

[0080] Method 200 may also include modifying the external noise level limit based on whether the electric vehicle is connected to an electric vehicle power supply device. When the electric vehicle is connected to the power supply device, the external noise level limit can be adjusted to take into account charging processing and associated thermal management requirements.

[0081] In some examples, when an electric vehicle is connected to an electric vehicle power supply, method 200 may involve determining external noise level limits, regardless of the electric vehicle's location and time of day. The method recognizes that charging operations may have different noise considerations compared to non-charging quiescent periods.

[0082] By implementing these steps, Method 200 provides a comprehensive approach to control noise output in electric vehicles, taking into account various operating conditions and environmental factors.

[0083] Electric vehicles include a temperature determination device for measuring the ambient temperature around the vehicle. This temperature determination device may include one or more temperature sensors located at various locations on the exterior of the vehicle. These sensors provide accurate readings of the ambient air temperature, which is an important factor in determining the operational requirements of the vehicle's climate control system and battery management system.

[0084] In addition to measuring ambient temperature, electric vehicles include systems for determining the desired temperatures for the traction battery and vehicle compartment. These systems may take into account factors such as user preferences, optimal battery operating conditions, and energy efficiency considerations. For the traction battery, the desired temperature may be based on factors such as battery chemistry, state of charge, and upcoming driving conditions. For the vehicle compartment, the desired temperature may be determined by user settings or based on pre-programmed comfort settings.

[0085] Ambient temperature, as well as the desired temperature for the traction battery and vehicle compartment, plays a crucial role in influencing noise control decisions. When there is a significant difference between the ambient temperature and the desired temperature, the climate control system and battery management system may need to work harder to achieve and maintain the desired temperature. This increased workload results in higher noise levels from components such as pumps, fans, and compressors.

[0086] To manage this potential increase in noise while still meeting temperature requirements, electric vehicles can employ various strategies. For example, a vehicle can be configured to operate its climate control and battery management systems at a higher power setting for a short duration (e.g., 9.5 minutes) before descent to meet noise limits. This approach allows for rapid initial temperature adjustment while ensuring long-term compliance with noise limits.

[0087] Electric vehicles can also be designed to integrate with smart home or building systems to aid in temperature and noise control. For example, when a vehicle is parked in an connected garage, it can communicate with the building system to control the environment. This could involve closing garage doors or adjusting blinds to help maintain a more stable temperature around the vehicle, potentially reducing the workload of the vehicle's climate control system and thus lowering noise output.

[0088] In some examples, an electric vehicle can be an autonomous vehicle capable of making decisions about its location to optimize temperature management and noise control. An autonomous vehicle can analyze its surrounding environment and environmental factors to determine whether moving to a different location would help reduce noise output. For example, if a vehicle detects that it is parked in direct sunlight and this causes increased cooling system activity and noise, the vehicle can move itself to a shaded area (if feasible). Similarly, if a vehicle determines that its current location is subject to stricter noise restrictions, the vehicle can reposition itself to an area with more lenient noise restrictions, provided that such movement is permitted and / or appropriate.

[0089] By considering ambient temperature, the desired temperature of critical components, and utilizing various temperature management strategies, electric vehicles can balance the need for effective climate control and battery management with the requirement to minimize noise output. This approach allows for adaptive noise control in response to both environmental conditions and vehicle operating requirements.

[0090] Electric vehicles can employ various methods to determine and adjust external noise level limits based on location, time, and charging status. These methods allow vehicles to adapt their noise output to different environments and scenarios.

[0091] In some examples, external noise level limits can be set manually by the user. This allows for customization based on personal preferences or specific local requirements. Users can input their desired noise limits through a user interface, which can be part of the vehicle's infotainment system or a dedicated control panel.

[0092] Electric vehicles may include a data receiving device configured to receive instructions for setting external noise level limits. This data receiving device may allow noise limits to be remotely updated or adjusted based on changing rules or environmental factors. For example, a central server may send updated noise limit instructions to multiple vehicles in a specific area to comply with new local regulations.

[0093] exist Figure 3 The diagram illustrates a method 300 for setting noise limits via data reception. Step 310 of method 300 involves providing a data receiving device. This data receiving device can be configured to receive instructions or updates relating to noise control parameters.

[0094] Step 320 of method 300 involves receiving an instruction to set an external noise level limit via a data receiving device. This instruction may originate from various sources, such as user input, a remote server, or an over-the-air (OTA) update system.

[0095] Upon receiving the instruction, step 330 of method 300 involves modifying the external noise level limit based on the instruction. This modification allows for dynamic adjustment of noise control parameters based on updated information or user preferences.

[0096] In some examples, external noise level limits can be set manually by the user. This manual setting option provides users with the flexibility to adjust noise control parameters according to their specific needs or local regulations.

[0097] When determining appropriate noise limits, the system can take various factors into account. For example, noise limits can be set lower in residential areas during nighttime hours compared to commercial areas during daytime hours. When a vehicle is connected to an electric vehicle power supply, noise limits can be adjusted to allow for necessary cooling operations during charging.

[0098] Vehicle-to-vehicle (V2V) communication can be used to report noise levels between vehicles. In this example, a first vehicle can be configured to communicate with a second vehicle as the first vehicle passes by. The first vehicle can report the noise level detected from the second vehicle to the second vehicle. If needed, the second vehicle can use this information to adjust its operation to remain within noise limits.

[0099] Electric vehicles may include a noise measurement system to monitor their own noise output. This system can continuously or periodically measure the noise generated by the vehicle's components, such as pumps, fans, and compressors. If the measured noise output exceeds a defined external noise level limit, the system can modify the operating limits of these components to reduce the noise output. For example, the system can reduce the maximum speed of the cooling fan or adjust the operating cycle of the compressor to bring the noise level back within acceptable limits.

[0100] exist Figure 4 The diagram illustrates a method 400 for monitoring noise output and adjusting control parameters. Step 410 of method 400 involves measuring the noise output of an electric vehicle. This measurement can be performed using a sound level sensor or other suitable noise detection device.

[0101] Method 400's determination step 415 determines whether the noise output of the electric vehicle exceeds the external noise level limit. This comparison ensures that the vehicle's noise emissions remain within acceptable limits.

[0102] If step 415 determines that the noise output exceeds the limit, then step 420 of method 400 involves modifying the operating limits of at least one of the pump, fan, and compressor. This modification may involve adjusting the speed or power of these components to reduce the noise output. If step 415 determines that the noise output does not exceed the limit, then method 400 terminates at step 430.

[0103] The control device may include at least one actuator configured to control the operation of at least one of the pump, fan, and compressor. These actuators allow for precise adjustment of component operation to keep noise levels within specified limits.

[0104] Controlling the operation of at least one of the pumps, fans, and compressors may include controlling their speed. By adjusting the speed of these components, the control device can effectively manage noise output while maintaining necessary thermal management functions.

[0105] Methods 300 and 400 work together to provide a comprehensive approach to noise control in electric vehicles. Method 300 allows for the dynamic setting and updating of noise limits, while Method 400 ensures continuous monitoring and adjustment of vehicle operation to maintain compliance with these limits. This combined approach enables electric vehicles to operate efficiently while minimizing noise pollution in a variety of environments.

[0106] In scenarios where multiple electric vehicles are parked very close together (such as in a warehouse or parking facility), the overall noise level of the vehicle group can be considered. Each vehicle can transmit its current noise output and operating status to a central management system. The system can then coordinate the operation of all vehicles to ensure that the cumulative noise level remains within acceptable limits. For example, the system can stagger the timing of high-noise operations between different vehicles to prevent simultaneous peak noise levels.

[0107] The noise level determination system may also consider temporary exceptions to standard noise limits. For example, during a short period immediately following parking (such as the first ten minutes), the vehicle may be allowed to operate at a higher noise level to perform necessary cooling or heating operations. After this initial period, the system will then adjust its operation to comply with the standard noise limits for stationary vehicles.

[0108] By employing these different methods and considerations, electric vehicles can dynamically adjust their noise output to adapt to different environments and operational requirements, while maintaining consistency with noise limits and minimizing interference in noise-sensitive areas.

[0109] Electric vehicles include control units for managing the operation of pumps, fans, and compressors. These control units are designed to manage the noise output of these components while maintaining the desired temperature of the vehicle system.

[0110] The control unit may include one or more actuators configured to control the operation of pumps, fans, and compressors. These actuators can adjust various operating parameters of the components, primarily focusing on controlling their speed. By adjusting the speed of these components, the control unit can effectively manage their performance and noise output.

[0111] During operation, the control unit receives input regarding current external noise level limits and desired temperatures for various vehicle systems, such as the traction battery and vehicle compartment. Based on these inputs, the control unit determines appropriate speed limits for the pumps, fans, and compressors.

[0112] The relationship between component speed and noise output can be characterized through testing and analysis. For example, given a noise level limit, there may be a corresponding maximum speed limit for each component. These relationships can be stored in the control device as lookup tables or mathematical models.

[0113] When setting specific noise level limits, the control unit can query these stored relationships to determine the maximum permissible speed for each component. For example, if a lower noise level limit is required due to the vehicle's location or time of day, the control unit can set lower maximum speeds for pumps, fans, and compressors.

[0114] When setting speed limits, the control unit can also take into account the desired temperature. If there is a significant difference between the current temperature and the desired temperature, the control unit can allow higher component speeds within the constraints of noise level limits to reach the desired temperature more quickly.

[0115] In some examples, the control unit can implement a variable speed control strategy. Instead of simply setting a fixed maximum speed, the control unit can dynamically adjust the speeds of the pump, fan, and compressor based on real-time conditions. This approach allows for more precise control of noise output and temperature management.

[0116] The control unit can also incorporate a feedback mechanism to ensure that noise limits are met. If the vehicle is equipped with a noise sensor, the control unit can continuously monitor the actual noise output and adjust the component speed in real time if the measured noise approaches or exceeds the set limit.

[0117] By utilizing this control device, electric vehicles can effectively manage the operation of their pumps, fans, and compressors to maintain desired temperatures while adhering to specified noise level limits. This method allows for flexible and adaptive noise control across various operating conditions and environments.

[0118] Electric vehicles can be configured with various operating modes designed to control noise output while maintaining essential functions. These operating modes, known as "quiet modes," are tailored to different scenarios based on factors such as time of day and whether the vehicle is connected to a charging station.

[0119] In some examples, electric vehicles can implement a "quiet plug-in daytime" mode. This mode can be activated when the vehicle is connected to a charging station during daytime hours. In this mode, noise output limits can be set to a level that balances the need for efficient charging and temperature management with daytime noise limits in the surrounding area.

[0120] Another operating mode is the "Quiet Night Plug-in" mode. This mode can be activated when the vehicle is charging during nighttime hours. In this mode, stricter noise output limits can be applied to minimize disturbances in residential areas or other noise-sensitive locations during the typically quieter nighttime hours.

[0121] Electric vehicles can also achieve a "Quiet Daytime Unplugged" mode. This mode can be used when the vehicle is parked during daytime hours but not connected to a charging station. In this mode, noise output limits can be adjusted to allow for necessary battery and cabin temperature management while complying with daytime noise restrictions.

[0122] For scenarios where vehicles are parked but not charging during nighttime hours, a "Quiet Nighttime Unplugged" mode is available. This mode imposes the strictest noise output limits to minimize potential disturbances during nighttime hours when ambient noise levels are typically low.

[0123] The selection and implementation of these quiet modes can be based on a variety of inputs and sensors. For example, a vehicle can use its time detection system to determine whether it is day or night, and its charging status detection system to determine whether the vehicle is connected to a charging station. A location detection system can also play a role in determining which quiet mode to activate based on the vehicle's current environment.

[0124] In some examples, the quiet mode can be selected by the driver via a menu option in the vehicle's user interface. This feature allows drivers to manually select a preferred quiet mode based on their specific circumstances or preferences. For example, if the driver parks in an area particularly sensitive to noise, they can choose to activate a more stringent quiet mode even during the daytime.

[0125] exist Figure 5The diagram illustrates a method 500 for controlling the noise output of an electric vehicle based on vehicle status and time of day. Step 510 of method 500 involves determining whether the vehicle is connected to an electric vehicle power supply (plugged in). This determination is crucial for selecting an appropriate noise control mode.

[0126] After the determination in step 510, method 500 branches into two parallel paths. If the vehicle is not connected to the power supply (“No” branch), method 500 proceeds to step 515A to determine the time of day. If the vehicle is connected (“Yes” branch), method 500 proceeds to step 515B to determine the time of day.

[0127] Various methods can be used to determine the time of day. In some examples, a sunlight sensor can be used to detect whether it is day or night. Alternatively, an external time signal can be used to determine the exact time of day.

[0128] For the "No" branch, if it is determined to be daytime, method 500 proceeds to step 520 to set the daytime unplugged mode. If it is determined to be nighttime, method 500 proceeds to step 530 to set the nighttime unplugged mode.

[0129] For the "Yes" branch, if it is determined to be daytime, method 500 proceeds to step 540 to set the daytime plug-in mode. If it is determined to be nighttime, method 500 proceeds to step 550 to set the nighttime plug-in mode.

[0130] These operating modes, known as “external quiet modes,” are defined to control noise output based on the vehicle’s connectivity and time of day. These modes include “Quiet Daytime Plug-in,” “Quiet Nighttime Plug-in,” “Quiet Daytime Unplugged,” and “Quiet Nighttime Unplugged.”

[0131] In some examples, method 500 may include detecting the charging current to allow for higher noise radiation during short-duration DC fast charging. This feature recognizes that a brief increase in noise may be acceptable during a fast charging session.

[0132] A location detection device, which may include a GPS sensor, can be used to determine the vehicle's position. This location information can be combined with the time of day and connectivity status to further refine noise control strategies.

[0133] In some examples, drivers can select a quiet mode via a menu option. This feature provides users with the flexibility to manually adjust noise control settings based on their preferences or specific environmental conditions.

[0134] By implementing these different operating modes, Method 500 provides a comprehensive approach to controlling noise output in an electric vehicle, taking into account various factors such as charging status, time of day, and user preferences.

[0135] Implementing these quiet modes can involve adjusting various parameters of the vehicle's noise-generating components. For example, in a more restrictive quiet mode, the maximum speeds of the pump, fan, and compressor can be set to lower levels compared to less restrictive modes. The control unit can dynamically adjust these parameters to maintain the desired noise level while still meeting the vehicle's operational needs.

[0136] By offering these different quiet modes, electric vehicles are able to adapt their noise output to different scenarios, balancing the need for efficient operation with considerations of the surrounding environment and applicable noise limits.

[0137] The noise control system for electric vehicles integrates various components and sensors to effectively manage noise output while maintaining essential vehicle functions. This integrated system operates dynamically to adapt to different scenarios and environmental conditions.

[0138] Figure 6 The vehicle system 600 shown illustrates a vehicle-to-vehicle communication system for noise monitoring. A first vehicle 610 and a second vehicle 620 are shown, each containing a vehicle battery pack 250. A wireless communication link 630 is established between the first vehicle 610 and the second vehicle 620 to enable data exchange between the vehicles.

[0139] The second vehicle 620 is equipped with a sound level sensor 640 for detecting and measuring noise levels. A direction indicator or arrow 650 is shown extending from the second vehicle 620, which can indicate the direction or orientation of the vehicle's movement.

[0140] Vehicle system 600 allows vehicle-to-vehicle (V2V) communication to report noise levels between vehicles. For example, when a first vehicle 610 passes by, a second vehicle 620 can use a sound level sensor 640 to measure the noise level of the first vehicle 610. The second vehicle 620 can then transmit this noise level information to the first vehicle 610 via a wireless communication link 630.

[0141] In some examples, vehicle system 600 may take into account noise from external sources such as charging station fans. Sound level sensor 640 may be configured to detect and measure noise from these external sources, thereby allowing the vehicle to adjust its own noise output accordingly.

[0142] The vehicle system 600 can be used to control the overall noise level of multiple vehicles in a warehouse, parking facility, or storage facility. Each vehicle in the facility can be equipped with a sound level sensor 640 and wireless communication capabilities. The vehicles can communicate with each other to coordinate their noise output, thereby ensuring that the combined noise level of all vehicles remains within acceptable limits.

[0143] For example, if the first vehicle 610 detects that the noise level in the facility is approaching a predetermined limit, the first vehicle 610 can communicate with the second vehicle 620 and other nearby vehicles to reduce their noise output. This coordination method allows for the effective management of noise levels in shared spaces.

[0144] Arrow 650 indicates the direction of travel for the second vehicle.

[0145] When the electric vehicle is not connected to its power supply, the system determines the duration of the vehicle's stationary position. This determination can be made using a combination of sensors, such as motion sensors or GPS data. The system can postpone control of pumps, fans, or compressors until a threshold time period has elapsed. For example, if the threshold time period is set to ten minutes, the system can allow these components to operate normally for the first nine and a half minutes after the vehicle comes to a stop. This method allows necessary temperature management or other functions to be performed at full load for a short period before noise control measures are implemented.

[0146] In various scenarios, the integrated system adjusts its operation to balance noise control with vehicle requirements. For example, when an electric vehicle is charging overnight in a residential area, the system can activate a quiet night mode. In this mode, the system can set lower speed limits for the pump, fan, and compressor to minimize noise interference. However, the system continuously monitors battery temperature and state of charge to adjust component operation as needed within noise constraints.

[0147] On hot days, when an electric vehicle is parked and not charging, the system may need to manage battery temperature to prevent overheating. In this scenario, the system can initially operate the cooling components at a higher speed for a short period, utilizing a threshold time before implementing stricter noise control. After this initial period, the system can adjust to a gentler cooling strategy that balances temperature management and noise reduction.

[0148] Noise control systems for electric vehicles can be updated and refined over time using over-the-air (OTA) updates. This feature allows for remote updates to system parameters, algorithms, and operating modes. For example, if new noise restrictions are implemented in a specific area, vehicle manufacturers can push OTA updates to adjust the noise control parameters of vehicles in those locations. This capability ensures that noise control systems remain in sync with evolving regulations and can be optimized based on real-world performance data.

[0149] OTA (Over-The-Air) update capabilities can also be used to introduce new operating modes or improve existing ones. For example, if data analysis shows that the speed curves of specific components are more effective in managing noise while maintaining performance, these curves can be distributed to vehicles via OTA updates. This continuous update process allows noise control systems to become more refined and efficient over time.

[0150] By integrating these various components and capabilities, the noise control system of electric vehicles can effectively manage noise output in a variety of scenarios, while maintaining basic vehicle functionality and adapting to evolving requirements and environmental conditions.

[0151] Figure 7 A side orthographic view of vehicle 700 is shown. Vehicle 700 includes vehicle battery pack 250, which is positioned along the lower part of the vehicle body.

[0152] The positioning of the vehicle battery pack 250 in the lower part of the vehicle 700 allows for efficient use of space and contributes to the stability of the vehicle.

[0153] Vehicle 700 may be equipped with GPS sensors to detect its “home” location or known “noise-sensitive” areas (such as campsites). This feature allows Vehicle 700 to adjust noise control parameters based on its location to ensure compliance with local noise limits.

[0154] In some examples, vehicle 700 can be integrated with smart home or building systems. This integration allows for control of environmental factors affecting vehicle temperature and noise. For example, a smart home system could trigger the closing or opening of garage doors to help control the temperature of vehicle 700, potentially reducing the need for noisy cooling systems.

[0155] Vehicle 700 may include an onboard image recognition system. This system can be used to determine whether vehicle 700 is in a residential area, construction zone, commercial park, non-residential area, rural area, or remote area. By recognizing the surrounding environment, vehicle 700 can adjust its noise control strategy accordingly.

[0156] In some examples, vehicle 700 can be an autonomous vehicle. The autonomy of vehicle 700 can be used to reduce noise levels by changing its parking position. For example, if vehicle 700 detects that the noise level can be reduced by moving to a more shaded area, vehicle 700 can autonomously reposition itself to optimize noise control and energy efficiency.

[0157] Features of any of the examples or embodiments outlined above may be combined to create additional examples or embodiments without losing the intended effect. It should be understood that the descriptions of the embodiments or examples provided above are merely exemplary, and various modifications can be made by those skilled in the art. Furthermore, those skilled in the art will recognize that many further modifications and combinations of the aspects are possible. Therefore, the described aspects are intended to cover all such changes, modifications, and variations falling within the scope of the claims.

Claims

1. A method for controlling the noise output of an electric vehicle, the method comprising: The position of the electric vehicle is detected using a position detection device; Detecting the time of day; Determine whether the electric vehicle is connected to the electric vehicle power supply equipment; A control device is provided, the control device being configured to control the operation of at least one of a pump, a fan, and a compressor; The ambient temperature around the electric vehicle is determined using a temperature determination device. Determine the desired temperature of at least one of the traction battery and the vehicle compartment; External noise level limits are determined based on the location of the electric vehicle, the time of day, and whether the electric vehicle is connected to the electric vehicle power supply equipment. Based on the external noise level limit and the desired temperature, set the operating limits of at least one of the pump, fan, and compressor; and The control device is used to control the operation of at least one of the pump, fan, and compressor according to the operating restrictions.

2. The method according to claim 1, wherein, The location detection device is a GPS sensor.

3. The method according to claim 1 or claim 2, wherein, The steps for detecting the time of day include using a daylight sensor to determine whether it is daytime or nighttime.

4. The method according to claim 1 or claim 2, wherein, The steps for detecting the time of day include using an external time signal.

5. The method according to any of the preceding claims, wherein, When it is detected that the electric vehicle is not connected to the electric vehicle power supply equipment, the duration for which the vehicle has been stationary is determined.

6. The method according to claim 5, wherein, When it is determined that the vehicle has been stationary for a period of time below a threshold time period, the step of using the control device to control the operation of at least one of the pump, fan, and compressor according to the operation restrictions is postponed until the threshold time period has passed.

7. The method according to any of the preceding claims, wherein, When it is determined that the electric vehicle is connected to the electric vehicle power supply equipment, the external noise level limit is modified.

8. The method according to any one of claims 1 to 6, wherein, When determining whether the electric vehicle is connected to the electric vehicle power supply equipment, the external noise level limit is determined without considering the location of the electric vehicle or the time of day.

9. The method according to any of the preceding claims, wherein, The external noise level limit is set manually by the user.

10. The method according to any of the preceding claims, wherein, Controlling the operation of at least one of the pumps, fans, and compressors includes controlling their speed.

11. The method according to any preceding claim, further comprising: Provide a data receiving device; The data receiving device receives an instruction to set the external noise level limit; as well as Modify the external noise level limit based on the instruction.

12. The method according to any of the preceding claims, wherein, Providing the control device includes providing at least one actuator configured to control the operation of at least one of the pump, fan, and compressor.

13. The method according to any preceding claim, further comprising: Measure the noise output of the electric vehicle; Determine whether the noise output of the electric vehicle exceeds the external noise level limit; as well as Modify the operational limitations of at least one of the pumps, fans, and compressors.

14. A system for controlling the noise output of an electric vehicle, the system being configured to perform the steps of the method according to any one of claims 1 to 13.

15. A vehicle comprising the system according to claim 14.