Intelligent power supply control method and system of electric vehicle

Abstract

The invention relates to an intelligent power supply control method and system for an electric vehicle. The method comprises the steps of obtaining a target distance of an electric vehicle driving path, a refrigerated cabinet temperature, a smoothie bin temperature and an environment temperature, and predicting the driving electric quantity of a target point and the electric quantity required by business; and judging whether to enter a normal power supply mode or a low-electric-quantity power supply mode according to the residual electric quantity, preferentially closing unnecessary loads in the low-electric-quantity mode, ensuring that the vehicle can smoothly reach a target point, and reserving enough electric quantity to deal with emergency situations. And the full-power operation is recovered after the target point is reached. The system comprises an information acquisition module, an energy consumption prediction module, a residual electric quantity monitoring module and a power supply control module, realizes intelligent management and distribution of electric quantity of the electric vehicle in a complex environment, effectively guarantees driving safety and business demands, and improves system reliability and energy efficiency. And the problem of low management efficiency caused by inaccurate electric quantity estimation is avoided by reasonably arranging electric quantity use.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of intelligent power supply control, in particular to an intelligent power supply control method and system for an electric vehicle. BACKGROUND

[0002] With the continuous enrichment of urban mobile consumption scenarios, electric vehicles, as a special electric vehicle with both mobile sales and on-site production functions, are widely used in business districts, scenic spots, and activity sites. Electric vehicles are usually equipped with refrigerated warehouses, refrigerated cabinets, LED display boards, and other high-power equipment, which need to be powered continuously during driving and stationary operation, both to meet the demand for driving endurance and to ensure the stability of refrigeration and display functions. Therefore, reasonably and effectively managing the power supply system of electric vehicles has become an important issue to ensure operational efficiency and user experience.

[0003] The existing power management system of electric vehicles is mainly based on battery power detection and fixed threshold control, realizing basic power monitoring and load management. For example, when the remaining power is detected to be lower than the set threshold, the system will automatically turn off some non-critical loads to extend the driving time; or through simple load priority logic, the operation of refrigeration equipment is prioritized in low power state. This type of power management system is usually based on static set parameters, lacking dynamic adaptation to driving path, actual environmental conditions, and specific business needs.

[0004] However, the existing technology still has many deficiencies: first, it lacks intelligent prediction of target distance of driving path and actual energy consumption, which can easily lead to power estimation deviation and cannot accurately allocate energy; second, it lacks the ability to dynamically adjust load strategy combined with environmental temperature changes, leading to insufficient refrigeration in high temperature environment or energy waste in low temperature environment; third, it lacks timely and effective power warning and emergency control mechanism, which cannot notify the driver to take measures in time when the power drops suddenly or abnormally, increasing the risk of power failure. Therefore, there is an urgent need for an intelligent power supply control technology that can dynamically manage power supply according to driving path, environmental conditions, and business needs, to improve the energy utilization efficiency and operational reliability of electric vehicles. SUMMARY

[0005] The purpose of the present application is to overcome the above-mentioned problems of inaccurate power estimation of electric vehicles, inefficient energy allocation, lack of dynamic adjustment of load strategy according to environmental temperature, and lack of timely warning and emergency handling when power is abnormal.

[0006] According to an aspect of the present application, an intelligent power supply control method for an electric vehicle is provided, applied to an intelligent power control system of the electric vehicle, comprising: S10, obtaining the target distance of the current driving path, the environmental temperature, the refrigerated cabinet temperature and the ice slush warehouse temperature of the electric vehicle; S20, according to the target distance, predicting the driving electricity required for driving to the target point, and calculating the business electricity required for the target point business based on a preset business power supply strategy, wherein the business power supply strategy includes a refrigeration warehouse full-power operation time and an LED display board brightness level; S30, obtaining the remaining electricity of the electric vehicle, judging whether the remaining electricity is less than a preset electricity threshold; if not, entering a normal power supply mode; if yes, entering a low electricity power supply mode, wherein the electricity threshold includes driving electricity, business electricity and reserved buffer electricity, and the reserved buffer electricity is used to cope with unexpected situations and ensure basic power supply needs.

[0007] Preferably, the low electricity power supply mode in S30 includes: S31, dividing the remaining electricity into driving guarantee electricity and business reserved electricity, wherein the business reserved electricity is equal to the business electricity and cannot be moved, and adjusting the power supply priority of the remaining electricity according to the ambient temperature, including controlling the ice slush tank refrigeration power, the refrigeration cabinet refrigeration power and the LED display board power according to a preset scheme; S32, according to the difference between the remaining electricity and the sum of the driving guarantee electricity and the business reserved electricity, closing unnecessary loads in a preset order; S33, when the vehicle distance to the target point is less than a preset distance threshold, releasing part of the business reserved electricity in advance, including gradually increasing the ice slush tank refrigeration power, the refrigeration cabinet refrigeration power and the LED display board power according to a preset gradient.

[0008] Preferably, the power supply priority adjustment in S31 further includes: According to the ambient temperature, dynamically correcting the elastic fluctuation range of the refrigeration cabinet temperature; The ice slush tank temperature is controlled in layers according to the remaining electricity: When the remaining electricity is in a first electricity range, the ice slush tank temperature is maintained in a first temperature range; When the remaining electricity is in a second electricity range, the ice slush tank temperature is controlled to rise to a second temperature range, but the refrigeration warehouse is prohibited from working; When the remaining electricity is in a third electricity range, the ice slush tank is locked in a read-only state and an emergency treatment is triggered.

[0009] 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.

[0010] Preferably, S30 further includes: S40, the electric vehicle reaches the target point, removes the misappropriation restriction of the business reserved power, starts the full-power business mode, including recovering the power of the slush tank refrigeration and the LED display board.

[0011] Preferably, the S40 further includes: S50, if the remaining power is lower than the safety threshold during the journey, the frozen tank and the LED display board are turned off, and the cold storage cabinet is switched to the passive cold preservation mode of the cold storage plate.

[0012] The application also provides an intelligent power supply control system of an electric vehicle, which is arranged in the electric vehicle and applies the intelligent power supply control method of the electric vehicle, and includes: An information acquisition module is configured to acquire the target distance of the current driving path of the electric vehicle, the temperature of the cold storage cabinet, the temperature of the slush tank, and the ambient temperature. An energy consumption prediction module is configured to predict the driving power required for driving to the target point according to the target distance, and calculate the business power required for business at the target point based on a preset business power supply strategy. A power monitoring module is configured to acquire the remaining power of the electric vehicle, and determine whether the remaining power is less than a power threshold. A power supply control module is configured to control the power supply mode of the electric vehicle according to the determination result of the power monitoring module.

[0013] Preferably, the intelligent power supply control system further includes an alarm module configured to generate an alarm signal when the remaining power is less than the power threshold.

[0014] Preferably, the energy consumption prediction module includes: A data acquisition unit is configured to acquire the driving speed, acceleration, load information, and road slope. A processing unit is configured to perform dynamic energy consumption estimation in combination with the battery temperature and the ambient temperature.

[0015] Preferably, the power supply control module includes: A power management unit is configured to divide the remaining power into the driving guarantee power and the business reserved power. A load management unit is configured to sequentially reduce the brightness of the LED display board and the refrigeration power of the frozen tank according to the difference between the remaining power and the driving guarantee power and the business reserved power.

[0016] The application has the following beneficial effects: by acquiring target distance of the electric vehicle, temperature of the refrigerated cabinet and temperature of the smoothie store, and other information, and combining with a preset business power supply strategy, the driving power and the business power required by the target point are accurately predicted. By using the prediction, the use of the power can be reasonably arranged, and the problem of low power management efficiency caused by inaccurate power estimation in the prior art is avoided. When the remaining power is lower than the preset power threshold, the application reduces the unnecessary load in sequence through an intelligent load management strategy, ensures that the vehicle can smoothly reach the target point, and reserves enough power to deal with unexpected situations. In addition, an alarm module is arranged, and when the power is close to the safety threshold, an alarm signal is sent in time to prompt the driver to take emergency measures, solving the safety hazard of lack of timely response and alarm when the power suddenly drops in the prior art. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0018] Figure 1 A logic block diagram of an intelligent power control method of an electric vehicle according to an embodiment of the present application; Figure 2 A logic block diagram of an intelligent power control method of an electric vehicle according to another embodiment of the present application. DETAILED DESCRIPTION

[0019] In order to facilitate the understanding of the present application, the present application will be described more fully below with reference to the related drawings. The preferred embodiments of the present application are shown in the drawings. However, the present application can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present application more thorough and comprehensive.

[0020] 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 the present application belongs. The terms used in the specification of the present application are only for the purpose of describing the specific embodiments and are not intended to limit the present application.

[0021] Please refer to Figure 1 An embodiment of the present application provides an intelligent power control method of an electric vehicle, which is applied to an intelligent power control system of an electric vehicle and includes the following steps. Step S10, the target distance of the current driving path of the electric vehicle, the ambient temperature, the temperature of the refrigeration cabinet and the temperature of the smoothie store are obtained. In this step, it needs to be explained that the target distance is used to predict the required power; the ambient temperature affects the refrigeration load and the smoothie store refrigeration demand; the temperature of the refrigeration cabinet and the temperature of the smoothie store reflect the current load state, which is used as a reference basis for subsequent energy consumption prediction and dynamic adjustment. By comprehensively collecting the above information, complete and accurate data basis is provided for subsequent power management.

[0022] Step S20, according to the target distance, the driving power required to drive to the target point is predicted, and the target point business power required by the preset business power supply strategy is calculated, wherein the business power supply strategy includes the full power running time of the refrigeration store and the brightness level of the LED display board. In this step, it needs to be explained that according to the target distance obtained in step S10, the driving power required to drive from the current position to the target point is predicted in combination with the current state of the vehicle.

[0023] At the same time, based on the preset business power supply strategy, the business power required for normal business at the target point is calculated. The business power supply strategy is preset, including the full power running time of the refrigeration store, the brightness level of the LED display board and other parameters to meet the actual business demand.

[0024] Through the double prediction of driving power and business power, the reasonable planning of remaining power can be realized, and the business guarantee after arrival can be avoided by simply considering the driving endurance.

[0025] Step S30, the remaining power of the electric vehicle is obtained, and it is judged whether the remaining power is less than the preset power threshold; if not, the normal power supply mode is entered; if yes, the low power supply mode is entered, wherein the power threshold includes the driving power, the business power and the reserved buffer power, and the reserved buffer power is used to cope with unexpected situations and ensure the basic power supply demand. In this step, it needs to be explained that the power threshold is composed of driving power, business power and reserved buffer power, and the reserved buffer power is used to cope with unexpected situations and ensure the basic power supply safety under extreme conditions.

[0026] If the remaining power is greater than the power threshold, the normal power supply mode is entered, and all load devices are operated according to the standard, including: the smoothie store is operated according to the full load refrigeration setting; the refrigeration cabinet is maintained at the set low temperature refrigeration state; the LED display board is maintained in the high brightness mode for normal display. It needs to be explained that when the ambient temperature changes, the system can adjust the power of the refrigeration equipment according to the preset ambient temperature compensation strategy, which can ensure the refrigeration quality and avoid excessive energy consumption. In the normal power supply mode, the system monitors the change of the remaining power in real time, and reserves part of the dynamic buffer power to cope with the delay of driving, temporary residence or sudden increase of load and other situations.

[0027] If the remaining power is less than the power threshold, switch to the low-power supply mode, and start the intelligent dynamic management mechanism.

[0028] The technical scheme of the embodiment is implemented by acquiring the target distance of the electric vehicle, the temperature of the refrigeration cabinet, and the temperature of the smoothie bin, and combining a preset business power supply strategy to accurately predict the driving power and business power required at the target point. With this prediction, the use of power can be reasonably arranged, avoiding the low efficiency of power management caused by inaccurate power estimation in the prior art. When the remaining power is lower than the preset power threshold, the intelligent load management strategy is used to sequentially reduce unnecessary loads to ensure that the vehicle can smoothly reach the target point, while retaining sufficient power to respond to unexpected situations. In addition, an alarm module is provided to issue an alarm signal in time when the power is close to the safety threshold, prompting the driver to take emergency measures, solving the safety hazard of lack of timely response and alarm when the power drops sharply in the prior art.

[0029] As shown in Figure 2 The low-power supply mode includes: Step S31, divide the remaining power into driving guarantee power and business reserved power, wherein the business reserved power is equal to the business power, and cannot be used, and adjust the power supply priority of the remaining power according to the ambient temperature, including: controlling the smoothie bin refrigeration power, the refrigeration cabinet refrigeration power, and the LED display board power according to the preset scheme.

[0030] In this step, it should be noted that the power supply priority dynamic adjustment is updated in real time according to the change of the ambient temperature and the remaining power. When the ambient temperature rises or the remaining power decreases, the basic refrigeration demand is guaranteed first, and then the smoothie bin refrigeration power and the LED display board brightness are reduced in turn to prolong the vehicle's endurance time.

[0031] Step S32, according to the difference between the remaining power and the sum of the driving guarantee power and the business reserved power, close unnecessary loads in a preset order.

[0032] In this step, it should be noted that the load adjustment strategy includes sequentially reducing the LED display board brightness, reducing the smoothie bin refrigeration power, and reducing the refrigeration cabinet refrigeration power, gradually reducing the energy consumption according to the set priority, to realize reasonable control of power.

[0033] Step S33, when the vehicle is less than a preset distance threshold from the target point, release part of the business reserved power in advance, including gradually increasing the smoothie bin refrigeration power, the refrigeration cabinet refrigeration power, and the LED display board power according to the preset gradient.

[0034] In this step, it needs to be explained that the pre-release mechanism dynamically adjusts the release proportion according to the remaining driving distance of the vehicle, and when the vehicle is less than a preset distance threshold from the target point, the business reservation power is gradually released, the power output of the ice sand bin, the refrigerated cabinet and the display board is restored according to the set gradient, and the business preparation state is ensured before reaching the target point. To ensure that the driving safety is not affected before reaching the target point, and to improve the preparation efficiency of the business immediately after reaching the target point.

[0035] Taking an actual application scenario as an example, in the normal power supply mode, assuming that the current environmental temperature of the electric vehicle is 32℃, the remaining power is 80%, the target distance of the driving path is 5km, the system predicts that the driving power required to drive to the target point is 10%, the business power required at the target point is 20%, and the dynamic buffer power is 5%. Under this condition, the electric vehicle is in normal power supply mode.

[0036] In this mode, it needs to be explained that the system first dynamically divides the remaining power according to the driving guarantee power, the business reservation power and the buffer power, wherein the driving guarantee power is reserved for 10%, the business reservation power is reserved for 20%, and the buffer power is reserved for 5%. The remaining 45% of the power is used as the current disposable excess power to ensure the full power operation of the load equipment. Specifically, the ice sand bin maintains full power refrigeration, and the target temperature is set to ; the refrigerated cabinet maintains low-temperature refrigeration, and the temperature is controlled at below; the LED display board normally displays the advertising content in high brightness mode.

[0037] During the operation of the load, the system adjusts the working state of each device in time according to the change of the environmental temperature, for example, when the current environmental temperature is high (32℃), the working frequency of the compressor of the refrigeration equipment is appropriately increased to ensure the refrigeration effect. At the same time, the system monitors the driving state and the energy consumption level in real time, and if the energy consumption exceeds the prediction range due to traffic delay or load increase, the system will preferentially call the reserved buffer power to ensure that the driving guarantee power and the business reservation power are not used, so as to ensure that the vehicle can smoothly reach the target point and normally carry out business activities at the target point.

[0038] And in the low power supply mode, assuming that the current driving target distance of the electric vehicle is 8 kilometers, the environmental temperature is 35℃, and the remaining power is 25%.

[0039] After calculation, about 10% of the power is consumed to drive to the target point, about 12% of the power is consumed for business, and the buffer power is set to 3%.

[0040] In the low power supply mode, the system divides the remaining power into driving guarantee power (10%), business reservation power (12%) and buffer power (3%), and adjusts the priority of the load according to the environmental temperature: the refrigeration cabinet maintains basic refrigeration, the smoothie bin refrigeration power is reduced to the insulation state, and the LED display board brightness is adjusted to the minimum.

[0041] In this embodiment, step S30 is followed by: Step S40, after the electric vehicle reaches the target point, the use restriction of the business reservation power is removed, and the full-power business mode is started, including restoring the smoothie bin refrigeration power and the LED display board power.

[0042] Before the vehicle approaches the target point, the system synchronously performs load power smooth transition adjustment to ensure that the vehicle can directly enter the business state without waiting after reaching the target point, avoid delay caused by load switching or device restart, and further improve the intelligent level and use experience of the overall power supply system.

[0043] As the vehicle approaches the target point (1 km remaining), the system gradually releases the business reservation power, restores the smoothie bin refrigeration capacity, the refrigeration cabinet refrigeration capacity and the normal brightness of the display board, ensures that the vehicle has complete business capacity after reaching the target point, and guarantees the rationality of power utilization and driving safety.

[0044] Before step S40, the following steps are included: Step S50, if the remaining power during driving is lower than the safety threshold, the frozen bin and the LED display board are turned off, and the refrigeration cabinet is switched to the passive cold insulation mode of the cold storage plate. Limited power is used to maintain the basic driving ability of the vehicle and the minimum passive cold insulation function to avoid driving interruption or cold chain failure.

[0045] The technical scheme of the embodiment is implemented, by comprehensively considering the target driving distance of the electric vehicle, the environmental temperature, the refrigeration and refrigeration demand and other multiple factors, combining the intelligent division and dynamic adjustment strategy of the remaining power, the power supply state of each load device can be flexibly controlled under the premise of guaranteeing driving safety, and reasonable distribution and efficient utilization of power are realized. Especially in the low power mode, through priority management, orderly closing of unnecessary loads and gradient pre-release of business power, the problems of driving interruption or business limitation caused by unbalanced energy distribution are effectively avoided; when the power is lower than the safety threshold during driving, the limited power is preferentially guaranteed for driving and basic cold insulation by turning off the frozen bin and the LED display board and switching the refrigeration cabinet to the passive cold insulation mode; after reaching the target point, the restriction of the business reservation power is removed and the full-power operation of each device is restored, realizing seamless switching from energy-saving mode to business mode. Therefore, the running reliability of the electric vehicle in complex environment and the overall energy management efficiency of the system are significantly improved.

[0046] In one embodiment, the power supply priority adjustment in step S31 further comprises: According to the ambient temperature, dynamically correct the elastic fluctuation range of the refrigerator temperature; The smoothie bin temperature is controlled in three layers according to the remaining power: When the remaining power is in the first power range, maintain the smoothie bin temperature in the first temperature range; When the remaining power is in the second power range, control the smoothie bin temperature to rise to the second temperature range, but prohibit the freezer bin from working; When the remaining power is in the third power range, lock the smoothie bin in read-only state and trigger emergency processing.

[0047] In this embodiment, it should be noted that the change of ambient temperature directly affects the energy consumption demand of refrigeration and refrigeration load: when the ambient temperature rises, the elastic fluctuation range of the refrigerator is automatically narrowed to increase the refrigeration effort; when the ambient temperature drops, the elastic fluctuation range is automatically widened to save energy.

[0048] For example, when the ambient temperature is higher than the set first temperature threshold (e.g. 30℃), the system automatically narrows the temperature fluctuation range of the refrigerator, forces the refrigerator temperature to be maintained in a smaller floating interval (e.g. from Adjust to ), and appropriately increase the refrigeration output power to enhance the refrigeration effect, to ensure that the goods in the refrigerator can still be stably refrigerated in a high-temperature environment, preventing the goods from deteriorating.

[0049] When the ambient temperature is lower than the set second temperature threshold (e.g. 20℃), the system automatically widens the temperature fluctuation range of the refrigerator (e.g. from Adjust to ), allowing the internal temperature of the refrigerator to naturally fluctuate in a larger interval, thereby reducing the start frequency and workload of the refrigeration compressor, saving energy and prolonging the overall cruising ability of the electric vehicle.

[0050] The three-layer control of the smoothie bin temperature corresponds to different power safety margins: the first power range guarantees daily refrigeration needs, the second power range guarantees insulation but suspends ice making, and the third power range is read-only locked and starts the minimum maintenance strategy and emergency S50 step to maximize the extension of the cruising range and trigger emergency alarm and passive cold preservation. The entire adjustment process is monitored by the system in real time to dynamically calculate the optimal power supply power of each device to ensure smooth transition and safety in different energy consumption states.

[0051] In this embodiment, the power supply priority adjustment and layered control of the low-power supply mode are as follows: S31, divide the remaining power into driving guarantee power and business reservation power, wherein the business reservation power is equal to the predicted business power and cannot be moved; and dynamically adjust the load priority according to the ambient temperature (30℃ as an example) and the remaining power: The temperature elastic fluctuation range of the refrigerator is set to ; The temperature stratified control of the smoothie warehouse is: The first power range ( ): maintain the temperature of the smoothie warehouse at ; The second power range ( ): control the temperature of the smoothie warehouse to rise to , but prohibit the freezer from working; The third power range ( ): lock the smoothie warehouse to read-only state, allow the temperature to fluctuate at , and trigger emergency processing (S50).

[0052] S32, according to the difference between the remaining power and the sum of the driving guarantee power and the business reservation power, close unnecessary loads in order: first reduce the LED display board to low power mode, then reduce the smoothie warehouse refrigeration power, and finally reduce the refrigerator refrigeration power.

[0053] In this step, it needs to be explained that the load closing order is determined based on the importance of each device to driving safety and business influence. The LED display board is an optional display load, its power consumption is relatively high and has a significant impact on vehicle endurance, so it is first reduced to low power mode to maximize the driving guarantee power; the smoothie warehouse is a secondary refrigeration load, reducing its refrigeration power can maintain the product safety temperature in the short term, while saving power; the refrigerator is the core cold load, reducing its refrigeration power can ensure that the food safety temperature is not damaged. This strategy prolongs the endurance and prevents the cold chain from failing by closing the loads in stages and prioritizing limited power for driving and key refrigeration needs.

[0054] S33, when the vehicle is less than a preset distance threshold from the target point, release part of the business reservation power in advance, and gradually restore the smoothie warehouse refrigeration power, the refrigerator refrigeration power and the LED display board power according to a preset gradient.

[0055] In S33, the distance threshold is dynamically set according to the ambient temperature, and the distance threshold is negatively correlated with the ambient temperature.

[0056] In this step, it is necessary to note that the distance threshold is dynamically adjusted according to the ambient temperature to balance the endurance and refrigeration requirements. When the ambient temperature is high, the distance threshold is set to be larger, and the system will start releasing the business reservation power at a longer distance in advance to give the refrigeration equipment and the display board a longer recovery time. When the ambient temperature is low, the distance threshold is set to be smaller, and the reservation power can be released only when the target point is closer to maximize the endurance efficiency. In addition, the recovery rate of the preset gradient can also be determined according to the ambient temperature and the remaining power. In the case of high temperature environment or power limit, a slower recovery gradient is used to prioritize driving safety, while in a moderate environment, a faster gradient is used to restore the business capability to ensure that the equipment is ready when the target point is reached and the cold chain is stable.

[0057] In one specific scenario, assuming that the system preset basic distance threshold is 1km, and dynamically adjusting according to the ambient temperature according to the following rules: When the ambient temperature is high, in order to give the refrigeration equipment and the display board more recovery time, the distance threshold is increased to 2km; When the ambient temperature is between , the distance threshold is maintained at 1km; When the ambient temperature is low, the distance threshold can be reduced to 0.5km due to the low refrigeration requirement.

[0058] For example, when the ambient temperature of the electric vehicle 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 starts releasing the business reservation power according to the preset gradient, gradually recovering the slush tank refrigeration power, the cold storage cabinet refrigeration power and the LED display board power. This early release strategy can give the refrigeration system more recovery time in high temperature environment, and ensure that it has complete refrigeration and display capability when it reaches the target point; while in low temperature environment, the release time is delayed to maximize the endurance efficiency.

[0059] The technical solution of the embodiment is implemented by dynamically dividing the ambient temperature and the remaining power, intelligently adjusting the distance threshold and the load recovery gradient, and realizing the best power supply switching in different climate conditions: in high temperature environment (such as ), the business reservation power is released in advance to 2km to reserve more recovery time for the refrigeration system; in moderate temperature environment ( ), it is started at 1km; in low temperature environment ( ) to 0.5km start, so as to balance the endurance efficiency and the refrigeration preparation at the point. At the same time, the hierarchical closing and recovery sequence (LED advertisement → smoothie warehouse → refrigerated cabinet) ensures the driving safety and the core cold chain function priority, significantly improves the operation reliability and energy utilization efficiency of the electric vehicle in complex environment.

[0060] In another embodiment, the present application also provides an intelligent power control system of an electric vehicle, which is arranged in the electric vehicle and applies the intelligent power control method of the electric vehicle, and comprises: an information acquisition module, configured to acquire a target distance of a current driving path of the electric vehicle, a refrigerated cabinet temperature, a smoothie warehouse temperature and an ambient temperature; an energy consumption prediction module, configured to predict a driving electric quantity required for driving to a target point according to the target distance, and calculate a business electric quantity required for business at the target point based on a preset business power supply strategy; an electric quantity monitoring module, configured to acquire a remaining electric quantity of the electric vehicle, and determine whether the remaining electric quantity is less than an electric quantity threshold value; a power supply control module, configured to control a power supply mode of the electric vehicle according to a determination result of the electric quantity monitoring module.

[0061] In this embodiment, it needs to be explained that the modules of the system work cooperatively to realize the intelligent power management from end to end. Firstly, the information acquisition module collects the target distance, the ambient temperature, the refrigerated cabinet temperature and the smoothie warehouse temperature in real time through GPS and environmental, refrigerated cabinet and smoothie warehouse temperature sensors, and pushes them to the energy consumption prediction module and the electric quantity monitoring module.

[0062] Subsequently, the energy consumption prediction module takes the target distance as input, combines the ambient temperature, the vehicle load, the current vehicle speed and the cold chain equipment state, uses the trained prediction model to calculate the driving electric quantity and the business electric quantity, and feeds back the business power supply strategy parameters (full power running time, display board brightness) to the power supply control module.

[0063] Then, the electric quantity monitoring module reads the step SOC from the battery management system, divides the remaining electric quantity into “driving guarantee electric quantity” and “business reserved electric quantity”, and compares it with the driving electric quantity + business electric quantity + buffer electric quantity threshold value to determine whether to enter “normal power supply mode” or “low electric quantity power supply mode”.

[0064] In the “normal power supply mode”, the power supply control module allows the freezing warehouse, the refrigerated cabinet and the LED display board to run according to the predicted full power strategy, and reserves dynamic buffer electric quantity to deal with emergencies.

[0065] In the “low electric quantity power supply mode”, the power supply control module first executes step S31: dynamically narrows / widens the refrigerated cabinet temperature fluctuation range according to the current ambient temperature, and controls the smoothie warehouse temperature in layers (high electric quantity range First temperature range; medium power range Second temperature range; low power range Third temperature range. Then step S32 is performed: sequentially reduce the LED signboard → the slush tank refrigeration → the refrigeration cabinet refrigeration power.

[0066] When the vehicle distance to the target point is less than the dynamically set distance threshold (threshold negatively related to ambient temperature), the power supply control module releases the business reservation power in advance, and restores the slush tank, refrigeration cabinet and signboard power according to the preset gradient.

[0067] If the remaining power continues to decline to the safety threshold during driving, the alarm unit issues an audible and visual alarm, immediately closes the freezer and signboard, and switches the refrigeration cabinet to passive cold preservation mode to ensure driving safety.

[0068] Finally, after the vehicle reaches the target point, the power supply control module removes the business power protection and restores all devices to full power business mode, realizing seamless switching from driving to business.

[0069] Through the above module-step-by-step design, the system can dynamically balance the endurance and refrigeration requirements under different environmental and power conditions, ensuring that the electric vehicle can not only safely reach the destination, but also immediately enter business.

[0070] In a further embodiment, the intelligent power supply control system further comprises an alarm module for generating an alarm signal when the remaining power is less than the power threshold.

[0071] The energy consumption prediction module comprises: A data acquisition unit for acquiring driving speed, acceleration, load information and road slope; A processing unit for dynamically estimating energy consumption in combination with battery temperature and ambient temperature.

[0072] The power supply control module comprises: A power management unit for dividing the remaining power into driving guarantee power and business reservation power; A load management unit for sequentially reducing the LED signboard brightness and the freezer refrigeration power according to the difference between the remaining power and the driving guarantee power and the business reservation power.

[0073] It should be noted that the alarm module not only issues a warning when the remaining power first falls below the power threshold, but also triggers an advanced alarm when the power further decreases to the safety threshold, notifying the driver and simultaneously pushing alarm information to the background management system to support remote monitoring and dispatching.

[0074] The data acquisition unit in the energy consumption prediction module obtains dynamic working 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 working condition parameters and battery temperature and environmental temperature into the energy consumption model together to perform online dynamic energy consumption estimation, thereby ensuring that the prediction result is within a range of ±5% error.

[0075] The power management unit of the power supply control module intelligently divides the remaining power into "driving guarantee power" (to ensure arrival) and "business reservation power" (to ensure business) based on real-time SOC data, and locks the latter so that it cannot be used; the load management unit reduces the brightness of the LED display board and the refrigeration power of the refrigeration warehouse in the order of predetermined priority according to the difference between the two parts of power, thereby realizing fine dynamic adjustment of unnecessary loads and ensuring that limited power is used for driving safety and core refrigeration needs.

[0076] The technical scheme of the embodiment is implemented by deploying an information acquisition module, an energy consumption prediction module, a power monitoring module, a power supply control module and an alarm module on an electric vehicle, and establishing a real-time data and control closed loop between each unit: the information acquisition module collects driving speed, acceleration, load, road slope, environmental temperature and cold chain equipment temperature; the energy consumption prediction module dynamically estimates driving and business energy consumption based on the above working conditions and battery temperature; the power management unit divides real-time SOC into driving guarantee power and business reservation power and locks the latter; the load management unit dynamically reduces the brightness of the LED display board and the refrigeration power of the refrigeration warehouse according to the predetermined priority; the alarm module issues multi-level alarms and starts emergency cold preservation measures when the remaining power drops below a threshold. The system realizes end-to-end intelligent control from information acquisition, energy consumption prediction to power division, load scheduling and alarm response, effectively ensuring the endurance safety and cold chain stability of the electric vehicle in various environments.

[0077] The above-described embodiments only express several embodiments of the present application, and the description is relatively specific and detailed, but it should not be understood as limiting the scope of the application. It should be noted that for those skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the scope of the present application.

Claims

1. A method for intelligent power supply control of an electric vehicle, applied to an intelligent power control system of an electric vehicle, characterized in that, The method comprises the following steps: S10, obtaining the target distance of the current driving path of the electric vehicle, the ambient temperature, the refrigeration cabinet temperature and the slush bin temperature; S20, predicting the driving power required for driving to the target point according to the target distance, and calculating the business power required for the business at the target point based on a preset business power supply strategy, wherein the business power supply strategy comprises the running time of the freezer bin at full power and the brightness level of the LED display board; S30, obtaining the remaining power of the electric vehicle, and determining whether the remaining power is less than a preset power threshold; if not, entering a normal power supply mode; if yes, entering a low-power power supply mode, wherein the power threshold comprises the driving power, the business power and a reserved buffer power, and the reserved buffer power is used to cope with unexpected situations and ensure basic power supply requirements.

2. The intelligent power source control method of an electric vehicle according to claim 1, wherein, The low-power power supply mode in S30 comprises: S31, dividing the remaining power into driving guarantee power and business reserved power, wherein the business reserved power is equal to the business power and cannot be moved, and adjusting the power supply priority of the remaining power according to the ambient temperature, comprising: controlling the slush bin refrigeration power, the refrigeration cabinet refrigeration power and the LED display board power according to a preset scheme; S32, according to the difference between the sum of the remaining power, the driving guarantee power and the business reserved power, closing unnecessary loads in a preset order; S33, when the vehicle is less than a preset distance threshold from the target point, releasing part of the business reserved power in advance, comprising gradually increasing the slush bin refrigeration power, the refrigeration cabinet refrigeration power and the LED display board power according to a preset gradient.

3. The intelligent power control method for an electric vehicle according to claim 2, wherein The power supply priority adjustment in S31 further comprises: dynamically correcting the elastic fluctuation range of the refrigeration cabinet temperature according to the ambient temperature; The slush bin temperature is controlled in layers according to the remaining power: when the remaining power is in a first power range, maintaining the slush bin temperature in a first temperature range; when the remaining power is in a second power range, controlling the slush bin temperature to rise to a second temperature range, but prohibiting the freezer bin from working; when the remaining power is in a third power range, locking the slush bin in a read-only state and triggering emergency processing.

4. The intelligent power control method for an electric vehicle of claim 2, wherein, The distance threshold in S33 is dynamically set according to the ambient temperature, and the distance threshold is negatively correlated with the ambient temperature.

5. The intelligent power control method for an electric vehicle of claim 2, wherein, After S30, the method comprises the following steps: S40, after the electric vehicle arrives at the target point, removing the moving restriction of the business reserved power, starting a full-power business mode, comprising restoring the slush bin refrigeration power and the LED display board power.

6. The intelligent power control method for an electric vehicle of claim 5, wherein, Before S40, the method comprises the following steps: S50, if the remaining power during driving is lower than a safety threshold, closing the freezer bin and the LED display board, and switching the refrigeration cabinet to a passive cold preservation mode of the cold storage plate.

7. An intelligent power control system for an electric vehicle, which is arranged in an electric vehicle and applies the intelligent power control method for an electric vehicle according to claims 1-6, characterized in that, The method comprises the following steps: an information acquisition module for obtaining the target distance of the current driving path of the electric vehicle, the refrigeration cabinet temperature, the slush bin temperature and the ambient temperature; an energy consumption prediction module for predicting the driving power required for driving to the target point according to the target distance, and calculating the business power required for the business at the target point based on a preset business power supply strategy; a power monitoring module for obtaining the remaining power of the electric vehicle, and determining whether the remaining power is less than a power threshold; The power supply control module controls the power supply mode of the electric vehicle according to the judgment result of the electric quantity monitoring module.

8. The power control system of claim 7, wherein, The intelligent power supply control system further comprises an alarm module configured to generate an alarm signal when the residual electric quantity is less than the electric quantity threshold.

9. The power control system of claim 7, wherein, The energy consumption prediction module comprises: A data acquisition unit is configured to acquire driving speed, acceleration, load information and road slope; A processing unit is configured to perform dynamic energy consumption estimation in combination with battery temperature and ambient temperature.

10. The power control system of claim 9, wherein, The power supply control module comprises: An electric quantity management unit is configured to divide the residual electric quantity into the driving guarantee electric quantity and the business reservation electric quantity; A load management unit is configured to sequentially reduce the brightness of the LED display board and the refrigeration power of the refrigeration warehouse according to the difference between the residual electric quantity and the driving guarantee electric quantity and the business reservation electric quantity.

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