A method and system for intelligent power control of electric vehicles

Abstract

This application relates to an intelligent power control method and system for electric vehicles. The method includes acquiring the target distance of the electric vehicle's travel path, the temperature of the refrigerated compartment, the temperature of the ice cream compartment, and the ambient temperature; predicting the remaining battery power at the target point and the battery power required for operation. Based on the remaining battery power, it determines whether to enter a normal power supply mode or a low-battery power supply mode. In low-battery mode, it prioritizes shutting down unnecessary loads to ensure the vehicle can reach the target point smoothly and retains sufficient battery power to cope with emergencies. Upon reaching the target point, it resumes full-power operation. The system includes an information acquisition module, an energy consumption prediction module, a remaining battery power monitoring module, and a power supply control module, enabling intelligent management and allocation of the electric vehicle's battery power in complex environments. This effectively ensures driving safety and operational needs, improves system reliability and energy efficiency, and rationally allocates battery usage, avoiding management inefficiencies caused by inaccurate battery power prediction.

Description

Technical Field

[0001] This application relates to the field of intelligent power control, and more particularly to an intelligent power control method and system for electric vehicles. Background Technology

[0002] With the increasing diversity of urban mobile consumption scenarios, electric vehicles, as special electric vehicles that combine mobile sales and on-site production functions, are widely used in shopping districts, scenic spots, event venues, and other locations. Electric vehicles are typically equipped with various high-power devices such as refrigerated compartments, freezers, and LED display boards, requiring continuous power supply during operation and on-site business. This necessitates meeting both the demands of driving range and ensuring the stability of refrigeration and display functions. Therefore, the rational and effective management of the electric vehicle's power system has become a crucial issue for ensuring operational efficiency and user experience.

[0003] Existing electric vehicle power management systems primarily rely on battery charge detection and fixed threshold control to achieve basic power monitoring and load management. For example, when the remaining battery charge is detected to be below a set threshold, the system automatically shuts down some non-critical loads to extend driving time; or it uses simple load priority logic to prioritize the operation of cooling equipment when the battery is low. These power management systems are typically based on statically set parameters and lack dynamic adaptation to driving routes, actual environmental conditions, and specific business needs.

[0004] However, existing technologies still have many shortcomings: First, they lack intelligent prediction of the target distance and actual energy consumption of the driving route, which can easily lead to inaccurate power estimation and inability to accurately allocate energy; second, they lack the ability to dynamically adjust load strategies based on changes in ambient temperature, resulting in insufficient cooling in high-temperature environments or energy waste in low-temperature environments; third, they lack timely and effective power alarm and emergency control mechanisms, failing to promptly notify drivers to take countermeasures when power drops sharply or becomes abnormal, increasing the risk of power outages. Therefore, there is an urgent need for an intelligent power control technology that can dynamically manage power based on driving routes, environmental conditions, and business needs, thereby improving the energy efficiency and operational reliability of electric vehicles. Summary of the Invention

[0005] The purpose of this application is to overcome the problems mentioned above, such as inaccurate electric vehicle battery estimation, inefficient energy allocation, lack of dynamic load adjustment strategies based on ambient temperature, and lack of timely alarms and emergency handling when battery levels are abnormal.

[0006] According to one aspect of this application, an intelligent power control method for an electric vehicle is provided, applied to an intelligent power control system for an electric vehicle, comprising:

[0007] S10. Obtain the target distance, ambient temperature, refrigerator temperature, and ice cream compartment temperature of the electric vehicle's current driving path.

[0008] S20. Based on the target distance, predict the driving power required to reach the target point, and calculate the operating power required for the target point to operate based on a preset operating power supply strategy, wherein the operating power supply strategy includes the full power operation time of the cold storage and the brightness level of the LED display board;

[0009] S30. Obtain the remaining battery power of the electric vehicle and determine whether the remaining battery power is less than a preset battery power threshold. If not, enter the normal power supply mode; if yes, enter the low battery power supply mode. The battery power threshold includes driving battery power, operating battery power and reserved buffer battery power. The reserved buffer battery power is used to deal with emergencies and ensure basic power supply needs.

[0010] Preferably, the low-power supply mode in S30 includes:

[0011] S31. Divide the remaining power into driving guarantee power and business reserve power, wherein the business reserve power is equal to the business power and cannot be used. Adjust the power supply priority of the remaining power according to the ambient temperature, including: controlling the cooling power of the ice slush compartment, the refrigeration power of the refrigerator, and the power of the LED display board according to a preset scheme.

[0012] S32. Based on the difference between the remaining power and the sum of the driving guarantee power and the operating reserve power, shut down unnecessary loads in a preset order.

[0013] S33. When the vehicle is less than the preset distance threshold from the target point, release part of the reserved operating power in advance, including gradually increasing the cooling power of the ice cream compartment, the refrigeration power of the refrigerated cabinet, and the power of the LED display board according to the preset gradient.

[0014] Preferably, the power supply priority adjustment in S31 further includes:

[0015] The temperature fluctuation range of the refrigerator is dynamically adjusted based on the ambient temperature.

[0016] The temperature of the ice-smooth compartment is controlled in tiers according to the remaining power:

[0017] When the remaining power is within the first power range, the temperature of the ice cream chamber is maintained within the first temperature range;

[0018] When the remaining power is within the second power range, the temperature of the ice smoothie compartment is controlled to rise to the second temperature range, but the operation of the freezer compartment is prohibited.

[0019] When the remaining power is within the third power range, the ice slush compartment is locked into a read-only state and an emergency response is triggered.

[0020] Preferably, the distance threshold in S33 is dynamically set according to the ambient temperature, and the distance threshold is negatively correlated with the ambient temperature.

[0021] Preferably, the process after S30 includes:

[0022] S40. After the electric vehicle arrives at the target point, the restriction on the misappropriation of the reserved power for business operations is lifted, and the full-power business mode is started, including restoring the cooling power of the ice cream silo and the power of the LED display board.

[0023] Preferably, the step before S40 includes:

[0024] S50: If the remaining battery power is lower than the safety threshold during driving, the freezer compartment and LED display will be turned off, and the refrigerator will be switched to the passive cold storage mode.

[0025] The present invention also provides an intelligent power control system for an electric vehicle, which is installed in the electric vehicle and applies the above-described intelligent power control method for an electric vehicle, including:

[0026] The information acquisition module is used to acquire the target distance of the electric vehicle's current driving path, the temperature of the refrigerated cabinet, the temperature of the ice cream compartment, and the ambient temperature.

[0027] The energy consumption prediction module is used to predict the amount of electricity required to travel to the target point based on the target distance, and to calculate the amount of electricity required for operation at the target point based on the preset business power supply strategy.

[0028] The battery monitoring module is used to obtain the remaining battery power of the electric vehicle and determine whether the remaining battery power is less than the battery power threshold.

[0029] The power supply control module controls the power supply mode of the electric vehicle based on the judgment result of the power monitoring module.

[0030] Preferably, the intelligent power control system further includes an alarm module, used to generate an alarm signal when the remaining power is less than the power threshold.

[0031] Preferably, the energy consumption prediction module includes:

[0032] The data acquisition unit is used to collect information on driving speed, acceleration, load, and road gradient.

[0033] The processing unit is used to perform dynamic energy consumption estimation by combining battery temperature and ambient temperature.

[0034] Preferably, the power supply control module includes:

[0035] A power management unit is used to divide the remaining power into the driving guarantee power and the business reserve power;

[0036] The load management unit is used to sequentially reduce the brightness of the LED display board and the cooling power of the freezer compartment based on the difference between the remaining power, the power required for operation, and the power reserved for business.

[0037] This application offers the following advantages: By acquiring information such as the target distance of the electric vehicle, the temperature of the refrigerated compartment, and the temperature of the ice cream compartment, and combining this with a preset power supply strategy, the required driving and operating power at the target point can be accurately predicted. This prediction allows for the rational allocation of power usage, avoiding the inefficient power management problems caused by inaccurate power estimation in existing technologies. When the remaining power falls below a preset power threshold, this invention employs an intelligent load management strategy to sequentially reduce unnecessary loads, ensuring the vehicle can reach the target point smoothly while reserving sufficient power to handle emergencies. Furthermore, an alarm module is included to promptly issue an alarm signal when the power level approaches a safety threshold, prompting the driver to take emergency measures, thus resolving the safety hazard of lacking timely response and alarms when power levels suddenly drop in existing technologies. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0039] Figure 1 This is a logic block diagram of an intelligent power control method for an electric vehicle according to an embodiment of this application.

[0040] Figure 2 This is a logic block diagram of an intelligent power control method for an electric vehicle according to another embodiment of this application. Detailed Implementation

[0041] To facilitate understanding of this application, a more complete description will be provided below with reference to the accompanying drawings. Preferred embodiments of this application are shown in the drawings. However, this application can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the disclosure of this application.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the specification of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application.

[0043] Please refer to Figure 1This application provides an intelligent power control method for an electric vehicle, applied to an intelligent power control system for an electric vehicle, comprising:

[0044] Step S10: Obtain the target distance, ambient temperature, refrigerated compartment temperature, and ice cream compartment temperature of the electric vehicle's current driving path. In this step, it should be noted that the target distance is used to predict the electricity required for driving; the ambient temperature affects the refrigerated load and ice cream compartment cooling demand; the refrigerated compartment temperature and ice cream compartment temperature reflect the current load status and serve as a reference for subsequent energy consumption prediction and dynamic adjustment. By comprehensively collecting the above information, a complete and accurate data foundation is provided for subsequent energy management.

[0045] Step S20: Based on the target distance, predict the driving power required to reach the target point, and calculate the operating power required for operation at the target point based on a preset operating power supply strategy. The operating power supply strategy includes the full-power operation time of the refrigerated compartment and the brightness level of the LED display board. It should be noted that in this step, the driving power required to travel from the current location to the target point is predicted based on the target distance obtained in step S10 and the vehicle's current status.

[0046] Simultaneously, based on a pre-set power supply strategy, the required electricity consumption for normal operation at the target location is calculated. This pre-set power supply strategy includes parameters such as the full-power operating time of the cold storage compartments and the brightness level of the LED display boards, to meet actual operational needs.

[0047] By forecasting both driving range and operational range, it is possible to rationally plan the remaining power, avoiding the situation where driving range is considered alone while operational support is neglected upon arrival.

[0048] Step S30: Obtain the remaining battery power of the electric vehicle and determine whether the remaining battery power is less than a preset battery power threshold. If not, enter the normal power supply mode; if yes, enter the low battery power supply mode. The battery power threshold includes the driving battery power, the operating battery power, and the reserved buffer battery power. The reserved buffer battery power is used to cope with emergencies and ensure basic power supply needs. It should be noted in this step that the battery power threshold consists of the driving battery power, the operating battery power, and the reserved buffer battery power. The reserved buffer battery power is used to cope with emergencies and ensure that basic power supply safety can still be maintained under extreme conditions.

[0049] If the remaining power is greater than the power threshold, the system enters normal power supply mode, and all load devices operate according to standard settings. Specifically, the smoothie compartment operates at full load; the refrigerated cabinet maintains the set low-temperature refrigeration state; and the LED display maintains normal display in high-brightness mode. It should be noted that when the ambient temperature changes, the system can fine-tune the power of the refrigeration equipment according to a preset ambient temperature compensation strategy, ensuring refrigeration quality while avoiding excessive energy consumption. In normal power supply mode, the system monitors changes in remaining power in real time and reserves a portion of dynamic buffer power to cope with situations such as driving delays, temporary stops, or sudden increases in load.

[0050] If the remaining power is less than the power threshold, switch to low power supply mode and activate the intelligent dynamic management mechanism.

[0051] The technical solution of this embodiment accurately predicts the required driving and operating power consumption at the target point by acquiring information such as the target distance of the electric vehicle, the temperature of the refrigerated compartment, and the temperature of the ice cream compartment, combined with a preset power supply strategy. This prediction allows for reasonable allocation of power usage, avoiding the inefficient power management problems caused by inaccurate power estimation in existing technologies. When the remaining power is lower than a preset power threshold, this invention uses an intelligent load management strategy to sequentially reduce unnecessary loads, ensuring the vehicle can reach the target point smoothly while reserving sufficient power to cope with emergencies. Furthermore, an alarm module is included to promptly issue an alarm signal when the power consumption approaches a safety threshold, prompting the driver to take emergency measures, thus solving the safety hazard of lacking timely response and alarms when the power consumption suddenly drops in existing technologies.

[0052] like Figure 2 As shown, the low power supply modes include:

[0053] Step S31: Divide the remaining power into driving guarantee power and business reserve power, wherein the business reserve power is equal to the business power and cannot be used. Adjust the power supply priority of the remaining power according to the ambient temperature, including: controlling the cooling power of the ice cream compartment, the refrigeration power of the refrigerator, and the power of the LED display board according to the preset plan.

[0054] In this step, it should be noted that the power supply priority is dynamically adjusted and updated in real time based on changes in ambient temperature and remaining power. When the ambient temperature rises or the remaining power decreases, the basic cooling needs are prioritized, and the cooling power of the ice chamber and the brightness of the LED display board are reduced in turn to extend the vehicle's driving time.

[0055] Step S32: Based on the difference between the remaining power and the sum of the driving power and the operating power reserve, shut down unnecessary loads in a preset order.

[0056] In this step, it should be noted that the load adjustment strategy includes sequentially reducing the brightness of the LED display board, reducing the cooling power of the smoothie compartment, and reducing the cooling power of the refrigerator, gradually reducing energy consumption according to the set priority, so as to achieve reasonable power control.

[0057] Step S33: When the vehicle is less than the preset distance threshold from the target point, release part of the reserved operating power in advance, including gradually increasing the cooling power of the ice cream compartment, the refrigeration power of the refrigerated cabinet, and the power of the LED display board according to the preset gradient.

[0058] In this step, it's important to note that the pre-release mechanism dynamically adjusts the release ratio based on the vehicle's remaining driving distance. When the vehicle is less than a preset distance threshold from the target point, the reserved power for operation is gradually released, restoring the power output of the smoothie compartment, refrigerated cabinets, and display boards according to a set gradient. This ensures the vehicle is ready for operation before arrival, guaranteeing safe driving before reaching the target point and improving the efficiency of immediate operation upon arrival.

[0059] Taking a real-world application scenario as an example, under normal power supply mode, assuming the current ambient temperature of the electric vehicle is 32℃, the remaining battery power is 80%, the target distance of the driving path is 5km, the system predicts that the driving battery power required to reach the target point is 10%, the operating battery power required at the target point is 20%, and a dynamic buffer battery power of 5% is reserved. Under these conditions, the electric vehicle is in normal power supply mode.

[0060] In this mode, it's important to note that the system first dynamically allocates the remaining power into three categories: driving reserve power, operational reserve power, and buffer power. Specifically, 10% is reserved for driving reserve, 20% for operational reserve power, and 5% for buffer power. The remaining 45% is considered the current available surplus power to ensure full-power operation of the load equipment. In particular, the smoothie compartment maintains full-power cooling, with the target temperature set at [temperature value missing]. The refrigerator maintains a low temperature, with the temperature controlled at [temperature range missing]. The following shows the LED display board displaying advertising content normally in high brightness mode.

[0061] During operation, the system adjusts the operating status of each device in real time according to changes in ambient temperature. For example, when the ambient temperature is high (32℃), the operating frequency of the refrigeration equipment compressor is appropriately increased to ensure the cooling effect. At the same time, the system monitors the driving status and energy consumption level in real time. If energy consumption exceeds the predicted range due to traffic delays or increased load, the system will prioritize the use of reserved buffer power to ensure that the driving power and the reserved power for business operations are not misappropriated. This ensures that the vehicle can reach the destination smoothly and carry out normal business activities at the destination.

[0062] In low power supply mode, assuming the electric vehicle's current target distance is 8 kilometers, the ambient temperature is 35℃, and the remaining power is 25%.

[0063] Calculations show that driving to the target point will consume about 10% of the power, operating the vehicle will consume about 12% of the power, and the reserve buffer power is set at 3%.

[0064] In low power supply mode, the system divides the remaining power into driving guarantee power (10%), business reserve power (12%) and buffer power (3%), and adjusts the load priority according to the ambient temperature: the refrigerated cabinet maintains basic refrigeration, the ice cream compartment's refrigeration power is reduced to the heat preservation state, and the LED display brightness is reduced to the minimum.

[0065] In this embodiment, step S30 is followed by:

[0066] Step S40: After the electric vehicle arrives at the target point, the restriction on the misappropriation of the reserved power for operation is lifted, and the full-power operation mode is started, including restoring the cooling power of the ice cream silo and the power of the LED display board.

[0067] Before the vehicle approaches the target point, the system synchronously adjusts the load power smoothly to ensure that it can directly enter the operation state without waiting after arrival, avoiding delays caused by load switching or equipment restart, and further improving the intelligence level and user experience of the overall power supply system.

[0068] As the vehicle approaches the target point (1 kilometer remaining), the system gradually releases the reserved power for operation, restoring the cooling capacity of the ice cream compartment, the refrigerated display case, and the normal brightness of the display board, ensuring that the vehicle has full operational capability upon arrival, while also ensuring driving safety and the rational use of power.

[0069] Step S40 includes:

[0070] Step S50: If the remaining battery power falls below the safety threshold during driving, shut down the freezer compartment and LED display, and switch the refrigerated compartment to passive cooling mode. This prioritizes using the limited battery power to maintain the vehicle's basic driving capability and minimum passive cooling function, preventing driving interruption or cold chain failure.

[0071] The technical solution implemented in this embodiment, by comprehensively considering multiple factors such as the target driving distance of the electric vehicle, ambient temperature, and refrigeration and cooling requirements, combined with intelligent allocation and dynamic adjustment strategies for remaining power, can flexibly control the power supply status of each load device while ensuring driving safety, achieving reasonable allocation and efficient utilization of power. Especially in low-power mode, through priority management, orderly shutdown of unnecessary loads, and gradient pre-release of operating power, it effectively avoids driving interruptions or business restrictions caused by energy distribution imbalances. When the power falls below the safety threshold during driving, the refrigeration compartment and LED display board are shut down, and the refrigerated cabinet is switched to passive cooling mode, prioritizing driving and basic cooling with limited power. Upon reaching the target point, the operating power reserve restriction is lifted, and all equipment is restored to full power operation, achieving a seamless switch from energy-saving mode to operating mode. This significantly improves the operational reliability of electric vehicles in complex environments and the overall energy management efficiency of the system.

[0072] In one specific embodiment, the power supply priority adjustment in step S31 further includes:

[0073] The temperature fluctuation range of the refrigerator is dynamically adjusted according to the ambient temperature.

[0074] The temperature of the ice blender is controlled in tiers based on the remaining battery power:

[0075] When the remaining power is within the first power range, maintain the temperature of the ice cream chamber within the first temperature range.

[0076] When the remaining power is within the second power range, control the temperature of the smoothie compartment to rise to the second temperature range, but prohibit the freezer compartment from operating;

[0077] When the remaining battery power is within the third range, the ice chamber is locked to read-only mode and emergency procedures are triggered.

[0078] In this embodiment, it should be noted that changes in ambient temperature directly affect the energy consumption requirements of the refrigeration and cooling loads: when the ambient temperature rises, the elastic fluctuation range of the refrigerator automatically narrows to increase the cooling capacity; when the ambient temperature drops, the elastic fluctuation range automatically widens to save energy.

[0079] For example, when the ambient temperature exceeds a set first temperature threshold (e.g., 30°C), the system automatically narrows the temperature fluctuation range of the refrigerator, forcing the refrigerator temperature to be maintained within a smaller fluctuation range (e.g., from...). Adjusted to (And appropriately increase the cooling output power to enhance the cooling effect, ensuring that the items inside the refrigerator can remain stably refrigerated in a high-temperature environment and prevent the goods from spoiling.)

[0080] When the ambient temperature is below the set second temperature threshold (e.g., 20°C), the system automatically widens the temperature fluctuation range of the refrigerator (e.g., from...). Adjusted to This allows the internal temperature of the refrigerator to fluctuate naturally within a wider range, thereby reducing the frequency of start-up and workload of the refrigeration compressor, saving energy and extending the overall range of the electric vehicle.

[0081] The three-level temperature control of the ice chamber corresponds to different power safety margins: the first power range ensures daily cooling needs; the second power range ensures insulation but suspends ice making; the third power range is read-only and activates the minimum maintenance strategy and emergency S50 steps to maximize driving range and trigger emergency alarms and passive cooling. The entire adjustment process is monitored in real-time by the system, which monitors ambient temperature and power levels, dynamically calculates the optimal power supply for each device, and ensures a smooth transition and safety under different energy consumption states.

[0082] In this embodiment, the power supply priority adjustment and hierarchical control in the low power supply mode are as follows:

[0083] S31. Divide the remaining power into driving guarantee power and business reserve power, wherein the business reserve power is equal to the predicted business power and cannot be redistributed; and dynamically adjust the load priority based on the ambient temperature (30℃ example value) and the remaining power:

[0084] The temperature fluctuation range of the refrigerator is set to ;

[0085] Temperature layer control in the smoothie compartment:

[0086] First power range ( Maintain the temperature of the smoothie chamber at ;

[0087] Second power range ( ): Control the temperature of the smoothie chamber to rise to However, operation of the cold storage is prohibited.

[0088] Third power range ( ): Lock the smoothie compartment to read-only mode, allowing the temperature to be within... Fluctuations occur, triggering emergency response (S50).

[0089] S32. Based on the difference between the remaining power and the sum of the driving power and the operating power reserve, shut down unnecessary loads in sequence: first reduce the LED display board to low power mode, then reduce the cooling power of the ice cream compartment, and finally reduce the cooling power of the refrigerated cabinet.

[0090] In this step, it's important to note that the load shutdown order is determined based on the relative importance of each device to driving safety and business operations. LED display boards are optional display loads with relatively high power consumption and a significant impact on vehicle range; therefore, they are first reduced to low-power mode to maximize the amount of power available for driving. The smoothie compartment is a secondary refrigeration load; reducing its refrigeration power can maintain safe product temperatures in the short term while saving energy. The refrigerated cabinet is the core cold-keeping load; reducing its refrigeration power last ensures that food safety temperatures are not compromised. This strategy, through tiered shutdown, prioritizes limited power for driving and critical refrigeration needs, thereby extending driving range and preventing cold chain failures.

[0091] S33. When the vehicle is less than the preset distance threshold from the target point, release part of the reserved operating power in advance, and gradually restore the cooling power of the ice cream silo, the cooling power of the refrigerated cabinet and the power of the LED display board according to the preset gradient.

[0092] In S33, the distance threshold is dynamically set according to the ambient temperature, and the distance threshold is negatively correlated with the ambient temperature.

[0093] In this step, it's important to note that the distance threshold dynamically adjusts with ambient temperature to balance battery life and cooling requirements. When the ambient temperature is high, a larger distance threshold is set, allowing the system to release reserved power at a greater distance, providing more recovery time for the cooling equipment and display boards. Conversely, when the ambient temperature is low, a smaller distance threshold is set, releasing reserved power closer to the target point to maximize battery efficiency. Furthermore, the preset recovery rate can be determined based on both ambient temperature and remaining battery power. In high-temperature environments or when battery power is at its limit, a slower recovery rate prioritizes driving safety, while in milder environments, a faster recovery rate ensures that equipment is ready and the cold chain remains stable upon arrival at the target point.

[0094] In a specific scenario, assuming the system's preset base distance threshold is 1km, and it dynamically adjusts according to the ambient temperature based on the following rules:

[0095] When the ambient temperature To allow more time for the refrigeration equipment and display boards to recover, the distance threshold was increased to 2km.

[0096] When the ambient temperature is When the distance threshold is between 1km, the distance threshold remains at 1km.

[0097] When the ambient temperature At that time, due to the low cooling demand, the distance threshold can be reduced to 0.5km.

[0098] For example, if the ambient temperature during an electric vehicle's operation is 38℃ (high-temperature environment), the system automatically sets the distance threshold to 2km. When the vehicle is 2km away from the target point (instead of the original 1km), it immediately begins releasing the reserved operating power according to a preset gradient, gradually restoring the cooling power of the ice cream compartment, refrigerated display case, and LED display board. This advance release strategy allows the refrigeration system more recovery time under high temperatures, ensuring full cooling and display capabilities upon arrival at the target point; while in low-temperature environments, the release timing is delayed to maximize range efficiency.

[0099] The technical solution implemented in this embodiment, through ambient temperature sensing and dynamic allocation of remaining power, intelligently adjusts distance thresholds and load recovery gradients, achieving optimal power supply switching under different climatic conditions: in high-temperature environments (such as... The reserve power for business operations will be released starting 2km ahead of schedule to allow for a longer recovery time for the cooling system; in a medium-temperature environment

[0100] ( It starts at 1km; in low-temperature environments ( The start-up time is delayed to 0.5km, thus balancing range efficiency with on-demand refrigeration preparation. Meanwhile, the layered shutdown and recovery sequence (LED advertising → smoothie compartment → refrigerated cabinet) ensures driving safety and prioritizes core cold chain functions, significantly improving the reliability and energy efficiency of electric vehicles in complex environments.

[0101] In another embodiment, the present invention also provides an intelligent power control system for an electric vehicle, disposed in the electric vehicle, and applying the above-described intelligent power control method for an electric vehicle, comprising:

[0102] The information acquisition module is used to acquire the target distance of the electric vehicle's current driving path, the temperature of the refrigerated cabinet, the temperature of the ice cream compartment, and the ambient temperature.

[0103] The energy consumption prediction module is used to predict the amount of electricity required to travel to the target point based on the target distance, and to calculate the amount of electricity required for operation at the target point based on the preset business power supply strategy.

[0104] The battery monitoring module is used to obtain the remaining battery power of the electric vehicle and determine whether the remaining battery power is less than the battery power threshold.

[0105] The power supply control module controls the power supply mode of the electric vehicle based on the judgment result of the power monitoring module.

[0106] In this embodiment, it should be noted that the various modules of the system work together to achieve end-to-end intelligent power management:

[0107] First, the information acquisition module uses GPS and environmental, refrigerator, and ice-sandbox temperature sensors to collect target distance, ambient temperature, refrigerator temperature, and ice-sandbox temperature in real time, and pushes the data to the energy consumption prediction module and power monitoring module.

[0108] Subsequently, the energy consumption prediction module takes the target distance as input, and combines ambient temperature, vehicle load, current vehicle speed and cold chain equipment status to calculate the driving power consumption and operating power consumption using a trained prediction model; its output operating power supply strategy parameters (full power operation time, display board brightness) are fed back to the power supply control module.

[0109] Next, the power monitoring module reads the SOC from the battery management system, divides the remaining power into "driving guarantee power" and "business reserve power", and compares it with the threshold of driving power + business power + buffer power to determine whether to enter "normal power supply mode" or "low power supply mode".

[0110] In "normal power supply mode", the power supply control module allows the freezer compartment, refrigerator, and LED display board to operate according to the predicted full power strategy, and reserves dynamic buffer power to cope with emergencies.

[0111] In "low power supply mode", the power supply control module first executes step S31: dynamically narrowing / widening the temperature fluctuation range of the refrigerator according to the current ambient temperature, and controlling the temperature of the smoothie compartment in layers (high power range). First temperature range; Medium charge range Second temperature range; Low charge range (Third temperature range). Then execute step S32: sequentially reduce the cooling power of the LED display board → ice cream compartment → refrigerated cabinet.

[0112] When the vehicle is less than the dynamically set distance threshold (which is negatively correlated with ambient temperature), the power supply control module releases the reserved power for business operations in advance and smoothly restores the power of the ice cream compartment, refrigerated cabinet and display board according to the preset gradient.

[0113] If the remaining battery power continues to drop to the safety threshold during driving, the alarm unit will issue an audible and visual alarm, immediately shut down the freezer compartment and display panel, and switch the refrigerator to passive cooling mode to ensure driving safety.

[0114] Finally, after the vehicle arrives at the target point, the power supply control module releases the operating power protection and restores all equipment to full-power operating mode, achieving a seamless switch from driving to operation.

[0115] Through the design of the above modules and steps corresponding one by one, the system can dynamically balance the range and cooling needs under different environmental and power conditions, ensuring that electric vehicles can arrive safely and be put into operation immediately.

[0116] In a further embodiment, the intelligent power control system further includes an alarm module for generating an alarm signal when the remaining power is less than a power threshold.

[0117] The energy consumption prediction module includes:

[0118] The data acquisition unit is used to collect information on driving speed, acceleration, load, and road gradient.

[0119] The processing unit is used to perform dynamic energy consumption estimation by combining battery temperature and ambient temperature.

[0120] The power supply control module includes:

[0121] The power management unit is used to divide the remaining power into driving guarantee power and business reserve power;

[0122] The load management unit is used to sequentially reduce the brightness of the LED display board and the cooling power of the freezer compartment based on the difference between the remaining power, the power required for operation, and the power reserved for business.

[0123] It should be noted that the alarm module not only issues a warning when the remaining battery power first falls below the battery threshold, but can also trigger an advanced alarm when the battery power further decreases and reaches the safety threshold, notifying the driver and simultaneously pushing alarm information to the back-end management system to support remote monitoring and dispatch.

[0124] The data acquisition unit in the energy consumption prediction module acquires dynamic operating condition data such as driving speed, acceleration, load and road slope from the vehicle sensor network (CAN bus) in real time; the processing unit inputs these operating condition parameters together with battery temperature and ambient temperature into the energy consumption model to perform online dynamic energy consumption estimation, ensuring that the prediction results are within ±5% error range.

[0125] The power management unit of the power supply control module intelligently divides the remaining power into "driving guarantee power" (to ensure arrival) and "business reserve power" (to ensure business operation) based on real-time SOC data, and locks the latter so that it cannot be misappropriated; the load management unit reduces the brightness of the LED display board and the cooling power of the cold storage compartment in a predetermined priority order according to the difference between the two power parts, so as to realize the fine dynamic adjustment of non-essential loads and ensure that the limited power is given priority to driving safety and core cooling needs.

[0126] The technical solution implemented in this embodiment involves deploying an information acquisition module, an energy consumption prediction module, a power monitoring module, a power supply control module, and an alarm module on the electric vehicle, and establishing a real-time data and control closed loop among the following units: The information acquisition module collects data on driving speed, acceleration, load, road slope, ambient temperature, and cold chain equipment temperature; the energy consumption prediction module dynamically estimates driving and operational energy consumption based on the above operating conditions and battery temperature; the power management unit divides the real-time SOC into driving-guaranteed power and operational-reserved power and locks the latter; the load management unit dynamically reduces the cooling power of the LED display board and the cold storage according to preset priorities; and the alarm module issues multi-level alarms and activates emergency cold preservation measures when the remaining power falls below a threshold. This system achieves end-to-end intelligent control from information collection and energy consumption prediction to power allocation, load scheduling, and alarm response, effectively ensuring the range safety and cold chain stability of the electric vehicle under various environments.

[0127] The embodiments described above are merely examples of several implementations of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these modifications and improvements all fall within the scope of protection of this application.

Claims

1. A smart power control method for electric vehicles, applied to the smart power control system of electric vehicles, characterized in that, include: S10. Obtain the target distance, ambient temperature, refrigerator temperature, and ice cream compartment temperature of the electric vehicle's current driving path. S20. Based on the target distance, predict the driving power required to reach the target point, and calculate the operating power required for the target point to operate based on a preset operating power supply strategy, wherein the operating power supply strategy includes the full power operation time of the cold storage and the brightness level of the LED display board; S30. Obtain the remaining battery power of the electric vehicle and determine whether the remaining battery power is less than a preset battery power threshold. If not, enter the normal power supply mode; if yes, enter the low battery power supply mode. The battery power threshold includes driving battery power, operating battery power and reserved buffer battery power. The reserved buffer battery power is used to deal with emergencies and ensure basic power supply needs. The low-power supply mode includes: S31. Divide the remaining power into driving guarantee power and business reserve power, wherein the business reserve power is equal to the business power and cannot be used. Adjust the power supply priority of the remaining power according to the ambient temperature, including: controlling the cooling power of the ice slush compartment, the refrigeration power of the refrigerator, and the power of the LED display board according to a preset scheme. S32. Based on the difference between the remaining power and the sum of the driving guarantee power and the operating reserve power, shut down unnecessary loads in a preset order. S33. When the vehicle is less than the preset distance threshold from the target point, release part of the reserved operating power in advance, including gradually increasing the cooling power of the ice cream compartment, the refrigeration power of the refrigerated cabinet, and the power of the LED display board according to the preset gradient.

2. The intelligent power control method for electric vehicles according to claim 1, characterized in that, The power supply priority adjustment in S31 further includes: The temperature fluctuation range of the refrigerator is dynamically adjusted based on the ambient temperature. The temperature of the ice-smooth compartment is controlled in tiers according to the remaining power: When the remaining power is within the first power range, the temperature of the ice cream chamber is maintained within the first temperature range; When the remaining power is within the second power range, the temperature of the ice smoothie compartment is controlled to rise to the second temperature range, but the operation of the freezer compartment is prohibited. When the remaining power is within the third power range, the ice slush compartment is locked into a read-only state and an emergency response is triggered.

3. The intelligent power control method for electric vehicles according to claim 1, characterized in that, The distance threshold in S33 is dynamically set according to the ambient temperature, and the distance threshold is negatively correlated with the ambient temperature.

4. The intelligent power control method for electric vehicles according to claim 1, characterized in that, S30 is followed by: S40. After the electric vehicle arrives at the target point, the restriction on the misappropriation of the reserved power for business operations is lifted, and the full-power business mode is started, including restoring the cooling power of the ice cream silo and the power of the LED display board.

5. The intelligent power control method for electric vehicles according to claim 4, characterized in that, The preceding step of S40 includes: S50: If the remaining battery power is lower than the safety threshold during driving, the freezer compartment and LED display will be turned off, and the refrigerator will be switched to the passive cold storage mode.

6. An intelligent power control system for an electric vehicle, installed in the electric vehicle, applying the intelligent power control method for an electric vehicle as described in any one of claims 1-5, characterized in that, include: The information acquisition module is used to acquire the target distance of the electric vehicle's current driving path, the temperature of the refrigerated cabinet, the temperature of the ice cream compartment, and the ambient temperature. The energy consumption prediction module is used to predict the amount of electricity required to travel to the target point based on the target distance, and to calculate the amount of electricity required for operation at the target point based on the preset business power supply strategy. The battery monitoring module is used to obtain the remaining battery power of the electric vehicle and determine whether the remaining battery power is less than the battery power threshold. The power supply control module controls the power supply mode of the electric vehicle based on the judgment result of the power monitoring module.

7. The power control system according to claim 6, characterized in that, The intelligent power control system further includes an alarm module, used to generate an alarm signal when the remaining power is less than the power threshold.

8. The power control system according to claim 6, characterized in that, The energy consumption prediction module includes: The data acquisition unit is used to collect information on driving speed, acceleration, load, and road gradient. The processing unit is used to perform dynamic energy consumption estimation by combining battery temperature and ambient temperature.

9. The power control system according to claim 8, characterized in that, The power supply control module includes: A power management unit is used to divide the remaining power into the driving guarantee power and the business reserve power; The load management unit is used to sequentially reduce the brightness of the LED display board and the cooling power of the freezer compartment based on the difference between the remaining power, the power required for operation, and the power reserved for business.

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