Energy management method and device and vehicle

Abstract

The embodiment of the invention provides an energy management method and device and a vehicle, and relates to the technical field of energy storage. The method comprises the steps of firstly obtaining a charging strategy of a vehicle; secondly, according to the real-time charging power indicated by the charging strategy, the charging remaining time of the target charging equipment for charging the vehicle is determined; and if the target moment is later than the charging end moment, the real-time charging power is increased according to the difference value between the target moment and the charging end moment, so that the target charging equipment charges the vehicle according to the increased charging power. Therefore, according to the energy management method provided by the embodiment of the invention, the charging time can be shortened by dynamically increasing the real-time charging power of the vehicle under the condition that the sum of the charging remaining time and the current time (namely the predicted charging completion time) is later than the valley electricity price ending time, so that the charging efficiency of the vehicle is improved, and the energy utilization rate of the vehicle is improved. And charging can be completed when the electricity price is low, so that the charging cost is reduced, and economic utilization of energy is realized.

Description

Technical Field

[0001] The present application relates to the field of energy storage technology, and in particular to an energy management method, device and vehicle. Background Art

[0002] With the increasing awareness of global environmental protection and the continuous advancement of science and technology, new energy electric logistics vehicles are gradually becoming the preferred means of transportation in the logistics industry due to their environmentally friendly characteristics, efficient energy consumption and low operating costs. This trend has promoted the rapid growth of the number of new energy electric logistics vehicles. In order to meet the increasing charging needs of new energy electric logistics vehicles, many logistics companies have begun to build their own charging stations.

[0003] In the related technology, when multiple new energy electric logistics vehicles need to be charged at the same charging station, the charging station will first determine the time period when each new energy electric logistics vehicle needs to be charged, and then the charging station will dynamically adjust the charging current of each charging device according to the usage of the charging equipment (such as charging piles) and the power load status within the time period.

[0004] However, this dynamic adjustment method makes it difficult to minimize charging costs and economically utilize energy. Summary of the invention

[0005] Based on the above problems, the present application provides an energy management method, device and vehicle, which can complete charging when the electricity price is low, thereby helping to reduce charging costs and achieve economical use of energy.

[0006] The embodiments of the present application disclose the following technical solutions:

[0007] In a first aspect, an embodiment of the present application provides an energy management method, which is applied to a vehicle, and the method includes:

[0008] Acquire a charging strategy for the vehicle, wherein the charging strategy indicates a real-time charging power of a target charging device for charging the vehicle;

[0009] Determining the remaining charging time for the target charging device to charge the vehicle according to the real-time charging power;

[0010] If the target time is later than the charging end time, the real-time charging power is increased according to the difference between the target time and the charging end time, wherein the target time is the sum of the remaining charging time and the current time, and the charging end time indicates the time when the off-peak electricity price ends;

[0011] A charging instruction is sent to the target charging device, wherein the charging instruction instructs the target charging device to charge the vehicle according to the increased charging power.

[0012] Optionally, if the target time is later than the charging end time, increasing the real-time charging power according to the difference between the target time and the charging end time includes:

[0013] If the target time is later than the charging end time, and the sum of the real-time charging powers of multiple charging devices is less than the rated charging powers of the multiple charging devices, the real-time charging power is increased according to the difference between the target time and the charging end time, wherein the multiple charging devices include the target charging device.

[0014] Optionally, the charging end time indicates one of the time when the off-peak electricity price ends, the time when the vehicle is to be scheduled, and the time when the sum of the real-time charging powers of the multiple charging devices is greater than a preset power threshold.

[0015] Optionally, the charging strategy further indicates a charging start time for the target charging device to charge the vehicle;

[0016] The determining, according to the real-time charging power, the remaining charging time for the target charging device to charge the vehicle comprises:

[0017] The remaining charging time for the target charging equipment to charge the vehicle is determined according to the charging start time and the real-time charging power.

[0018] Optionally, the charging strategy includes a first charging strategy, wherein the first charging strategy indicates a real-time charging current value sequence for charging the vehicle by a target charging device;

[0019] The method of determining the charging start time and the real-time charging power by using the first charging strategy is specifically as follows:

[0020] According to the real-time charging current value sequence, obtaining a real-time charging current value at a first moment, wherein the real-time charging current value at the first moment is not zero, the first moment is an adjacent moment later than a second moment, and the real-time charging current value at the second moment is zero;

[0021] The first time is determined as a charging start time, and the real-time charging power is determined according to the real-time charging current value sequence and the charging start time.

[0022] Optionally, the charging strategy includes a second charging strategy, wherein the second charging strategy includes a charging start time, a charging end time and a real-time charging current value when the target charging device charges the vehicle;

[0023] The method of determining the real-time charging power by using the second charging strategy is specifically as follows:

[0024] The real-time charging power is determined according to the charging start time, the charging end time and the real-time charging current value.

[0025] Optionally, the real-time charging power is negatively correlated with the real-time electricity price.

[0026] Optionally, obtaining the charging strategy of the vehicle includes:

[0027] Sending the battery state of charge and battery temperature of the vehicle to a cloud system so that the cloud system determines the real-time charging power according to the battery state of charge and battery temperature;

[0028] Receive the charging strategy sent by the cloud system.

[0029] In a second aspect, an embodiment of the present application provides an energy management device, which is applied to a vehicle, and the device includes: a strategy acquisition module, a time determination module, a power increase module and an instruction sending module;

[0030] The strategy acquisition module is used to acquire the charging strategy of the vehicle, wherein the charging strategy indicates the real-time charging power of the target charging device for charging the vehicle;

[0031] The time determination module is used to determine the remaining charging time for the target charging device to charge the vehicle according to the real-time charging power;

[0032] The power increasing module is used to increase the real-time charging power according to the difference between the target time and the charging end time if the target time is later than the charging end time, wherein the target time is the sum of the remaining charging time and the current time, and the charging end time indicates the time when the valley electricity price ends;

[0033] The instruction sending module is used to send a charging instruction to the target charging device, wherein the charging instruction instructs the target charging device to charge the vehicle according to the increased charging power.

[0034] Optionally, the power increase module is specifically used to: if the target time is later than the charging end time, and the sum of the real-time charging powers of multiple charging devices is less than the rated charging powers of the multiple charging devices, then increase the real-time charging power according to the difference between the target time and the charging end time, wherein the multiple charging devices include the target charging device.

[0035] Optionally, the charging end time indicates one of the time when the off-peak electricity price ends, the time when the vehicle is to be scheduled, and the time when the sum of the real-time charging powers of the multiple charging devices is greater than a preset power threshold.

[0036] Optionally, the charging strategy also indicates the charging start time for the target charging device to charge the vehicle; the time determination module is specifically used to determine the remaining charging time for the target charging device to charge the vehicle based on the charging start time and the real-time charging power.

[0037] Optionally, the charging strategy includes a first charging strategy, wherein the first charging strategy indicates a real-time charging current value sequence for charging the vehicle by a target charging device;

[0038] The unit for determining the charging start time and the real-time charging power by using the first charging strategy is specifically as follows:

[0039] A first determining unit is configured to obtain a real-time charging current value at a first moment according to the real-time charging current value sequence, wherein the real-time charging current value at the first moment is not zero, the first moment is an adjacent moment later than a second moment, and the real-time charging current value at the second moment is zero;

[0040] The second determining unit is configured to determine the first moment as a charging start moment, and to determine the real-time charging power according to the real-time charging current value sequence and the charging start moment.

[0041] Optionally, the charging strategy includes a second charging strategy, wherein the second charging strategy includes a charging start time, a charging end time and a real-time charging current value when the target charging device charges the vehicle;

[0042] The unit for determining the real-time charging power by using the second charging strategy is specifically as follows:

[0043] The third determining unit is used to determine the real-time charging power according to the charging start time, the charging end time and the real-time charging current value.

[0044] Optionally, the real-time charging power is negatively correlated with the real-time electricity price.

[0045] Optionally, the policy acquisition module specifically includes: a first acquisition module and a second acquisition module;

[0046] A first acquisition module, used for sending the battery state of charge and battery temperature of the vehicle to a cloud system, so that the cloud system determines the real-time charging power according to the battery state of charge and battery temperature;

[0047] The second acquisition module is used to receive the charging strategy sent by the cloud system.

[0048] In a third aspect, an embodiment of the present application provides a vehicle, comprising an energy management device as described in the second aspect.

[0049] Compared with the prior art, this application has the following beneficial effects:

[0050] The embodiments of the present application provide an energy management method, device and vehicle. The method includes: first, obtaining the charging strategy of the vehicle; second, determining the remaining charging time for the target charging device to charge the vehicle according to the real-time charging power indicated by the charging strategy; if the target time is later than the charging end time, the real-time charging power is increased according to the difference between the target time and the charging end time, so that the target charging device charges the vehicle according to the increased charging power. Therefore, the energy management method provided by the embodiment of the present application can shorten the charging time by dynamically increasing the real-time charging power of the vehicle when the sum of the remaining charging time and the current time (i.e., the time when charging is expected to be completed) is later than the time when the valley electricity price ends, which not only improves the charging efficiency of the vehicle, but also enables charging to be completed when the electricity price is low, thereby helping to reduce charging costs and achieve economical use of energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0052] Figure 1 A flow chart of an energy management method provided in an embodiment of the present application;

[0053] Figure 2 A flowchart of another energy management method provided in an embodiment of the present application;

[0054] Figure 3 A schematic diagram of a charging device, a vehicle-side system and a cloud system provided in an embodiment of the present application;

[0055] Figure 4 A schematic diagram of an energy management device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0056] As described above, when multiple new energy electric logistics vehicles need to be charged at the same charging station, the charging station will first determine the time period in which each new energy electric logistics vehicle needs to be charged, and then dynamically adjust the charging current of each charging device according to the usage of the charging equipment (such as charging piles) and the power load status during the time period. However, this dynamic adjustment method is difficult to minimize charging costs and economically utilize energy.

[0057] After research, the inventor provides an energy management method, device and vehicle. The method includes: first, obtaining the charging strategy of the vehicle; second, determining the remaining charging time for the target charging device to charge the vehicle according to the real-time charging power indicated by the charging strategy; if the target time is later than the charging end time, the real-time charging power is increased according to the difference between the target time and the charging end time, so that the target charging device charges the vehicle according to the increased charging power. Therefore, the energy management method provided in the embodiment of the present application can shorten the charging time by dynamically increasing the real-time charging power of the vehicle when the sum of the remaining charging time and the current time (i.e., the time when charging is expected to be completed) is later than the time when the valley electricity price ends. This not only improves the charging efficiency of the vehicle, but also enables charging to be completed when the electricity price is low, thereby helping to reduce charging costs and achieve economical use of energy.

[0058] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0059] See also Figure 1 , which is a flow chart of an energy management method provided in an embodiment of the present application. The energy management method is applied to a vehicle, and includes:

[0060] S101: Acquire a charging strategy for a vehicle, wherein the charging strategy indicates a real-time charging power of a target charging device for charging the vehicle.

[0061] The charging strategy is used to instruct the target charging device on how to charge the vehicle. For example, the charging strategy may indicate the real-time charging power of the target charging device for charging the vehicle, that is, the charging power that the charging device should provide to the vehicle in different time periods.

[0062] S102: Determine the remaining charging time for the target charging device to charge the vehicle according to the real-time charging power.

[0063] The remaining charging time refers to the remaining time required for the target charging device to complete charging of the vehicle from the current moment.

[0064] In a specific implementation, the remaining charging time for the target charging device to charge the vehicle can be determined based on the current power level and real-time charging power of the vehicle. Specifically, first, the current power level of the vehicle and the target power level (i.e., the target power level set by the user or the fully charged state that the vehicle needs to reach) are obtained; second, the current power level is subtracted from the target power level to obtain the power level that needs to be replenished; finally, the power level that needs to be replenished is divided by the real-time charging power to obtain the remaining charging time.

[0065] For example, if the current power of the vehicle is 30%, the target power is 100%, the battery capacity is 80kWh (kilowatt-hours), and the real-time charging power is 4.67kW (kilowatts), then first, the amount of power that needs to be replenished is calculated as: 80kWh×(100%-30%)=80kWh×0.7=56kWh. Then, the remaining charging time is calculated as: remaining charging time=real-time charging power÷required charging amount=4.67kW÷56kWh≈12 hours. Therefore, according to the current real-time charging power, the remaining charging time for the target charging device to charge the vehicle is about 12 hours.

[0066] In another specific implementation, the remaining charging time for the target charging device to charge the vehicle can also be determined based on the charging start time and real-time charging power of the vehicle. Specifically, first, the charging start time set by the user and the target power of the vehicle (the target power set by the user or the fully charged state that the vehicle needs to reach) are read; second, the difference between the current time and the charging start time is multiplied by the real-time charging power to obtain the charged power; then, the charged power is subtracted from the target power to obtain the uncharged power; finally, the uncharged power is divided by the real-time charging power to obtain the remaining charging time.

[0067] Exemplarily, if the current power of the vehicle is 30%, the target power is 100%, the battery capacity is 80kWh (kilowatt-hours), the real-time charging power is 4.67kW (kilowatts), the charging start time is 18:00, and the current time is 20:00, then first, the charged power is calculated as: charged power = charging time × real-time charging power = (20:00-18:00) × 4.67kW = 2 hours × 4.67kW = 9.34kWh. Secondly, the uncharged power is calculated as: uncharged power = target power - charged power = 80kWh-9.34kWh = 70.66kWh. Finally, the remaining charging time is calculated as: remaining charging time = real-time charging power ÷ uncharged power = 4.67kW ÷ 70.66kWh ≈ 15.13 hours. Therefore, based on the current real-time charging power and charging start time, the remaining charging time for the target charging device to charge the vehicle is approximately 15.13 hours.

[0068] It can be understood that through these two specific implementation methods, the remaining charging time for the target charging device to charge the vehicle can be flexibly determined based on the real-time charging power, thereby ensuring that the charging task is completed within the time set by the user, while providing accurate charging time predictions to improve user experience.

[0069] S103: If the target time is later than the charging end time, the real-time charging power is increased according to the difference between the target time and the charging end time, wherein the target time is the sum of the remaining charging time and the current time, and the charging end time indicates the time when the off-peak electricity price ends.

[0070] The target time refers to the time when the user expects charging to be completed, which is calculated by adding the current time to the remaining charging time. The end time of charging refers to the time when the off-peak electricity price ends, which is usually a fixed time point, such as 22:00.

[0071] In the energy management method provided in the embodiment of the present application, it is necessary to compare the target time and the charging end time to determine whether the charging power needs to be adjusted. If the target time is later than the charging end time, it means that the current charging power is not enough to complete the charging before the end of the off-peak electricity price, then it is necessary to increase the real-time charging power according to the difference between the target time and the charging end time to ensure that the charging is completed before the charging end time.

[0072] For example, if the current power of the vehicle is 30%, the target power is 100%, the battery capacity is 80kWh (kilowatt-hours), the real-time charging power is 4.67kW (kilowatts), the current time is 18:00, the remaining charging time is 12 hours, and the time when the valley electricity price ends is 22:00, then first calculate the target time: target time = current time + remaining charging time = 18:00 + 12 hours = 6:00 (next day). Since the target time (6:00 next day) is later than the charging end time (22:00 on the same day), the real-time charging power needs to be adjusted. Then, the calculated time difference is: time difference = target time - charging end time = 6:00 (next day) - 22:00 (on the same day) = 8 hours. Finally, the increased real-time charging power is determined according to the time difference: new real-time charging power = remaining charging time ÷ (charging end time - current time) × old real-time charging power = 12 hours ÷ 4 hours × 4.67kW = 14.01kW. Therefore, the new real-time charging power is 14.01kW.

[0073] It is understandable that by dynamically adjusting the charging power, the charging process can be optimized and the charging cost can be reduced, while ensuring that users complete the charging task within the expected time and improving the user experience.

[0074] S104: Sending a charging instruction to the target charging device, where the charging instruction instructs the target charging device to charge the vehicle according to the increased charging power.

[0075] The charging instruction includes information about the increased charging power, and the purpose is to let the target charging device charge the vehicle with the increased charging power. In this way, it can ensure that the vehicle is fully charged before the off-peak electricity price ends, thereby saving electricity costs and meeting the user's charging needs.

[0076] To summarize, the embodiments of the present application provide an energy management method. The energy management method provided by the embodiments of the present application can shorten the charging time by dynamically increasing the real-time charging power of the vehicle when the sum of the remaining charging time and the current time (i.e., the time when charging is expected to be completed) is later than the time when the off-peak electricity price ends. This not only improves the charging efficiency of the vehicle, but also can complete charging when the electricity price is low, thereby helping to reduce charging costs and achieve economical use of energy.

[0077] See also Figure 2 , which is a flow chart of another energy management method provided by an embodiment of the present application. The energy management method is applied to a vehicle, and includes:

[0078] S201: Sending the battery state of charge and battery temperature of the vehicle to the cloud system, so that the cloud system determines the real-time charging power according to the battery state of charge and battery temperature.

[0079] See also Figure 3 , which is a schematic diagram of a charging device, a vehicle-side system and a cloud system provided in an embodiment of the present application. Figure 3 A in the figure shows the correspondence between multiple charging devices (taking charging piles as an example) and vehicles, indicating which vehicles are connected to which charging piles for charging. Each charging pile has a number (such as 1# pile, 2# pile, 3# pile, 4# pile), and each vehicle also has a corresponding number (such as 1# car, 2# car, 3# car).

[0080] See also Figure 3 In B, the vehicle sends its battery state of charge (SOC) and battery temperature to the cloud system through wireless communication technology (such as 4G / 5G, Wi-Fi, etc.). Among them, SOC represents the proportion of the battery's current remaining power to the total capacity. It helps the cloud system understand the battery's charge and discharge level in order to determine the appropriate real-time charging power. The operating temperature of the battery has a significant impact on its performance. Excessive temperatures may shorten the battery life or even damage it, while lower temperatures will affect the charging rate. Therefore, the cloud system needs to consider the actual temperature of the battery to determine the real-time charging power.

[0081] It should be noted that the real-time charging power is negatively correlated with the real-time electricity price. This means that when the electricity price is high, the charging power will decrease; conversely, when the electricity price is low, the charging power will increase. This mechanism aims to balance the charging cost and the grid load, especially to avoid overburdening the grid during peak hours, and to make full use of electricity for fast charging during periods of cheap electricity prices.

[0082] S202: Receive a charging strategy sent by a cloud system, wherein the charging strategy indicates a real-time charging power and a charging start time for a target charging device to charge a vehicle.

[0083] The charging strategy can generally indicate the real-time charging power and charging start time of the target charging device for charging the vehicle. The real-time charging power refers to the charging power that the charging pile should provide to the vehicle at a certain moment, and the charging start time refers to the specific time when the charging pile starts charging the vehicle.

[0084] S203: When the charging strategy is the Nth charging strategy, determining the charging start time and the real-time charging power according to the Nth charging strategy, where N is a positive integer.

[0085] In a specific implementation, the charging strategy may be a first charging strategy. The first charging strategy is a real-time charging current value sequence for the target charging device to charge the vehicle. It should be noted that the first charging strategy is a fixed-time charging strategy, which has no specific date restrictions, but starts charging at the same time every day. This strategy is suitable for daily and periodic charging needs.

[0086] See Table 1, which is a schematic diagram of a first charging strategy provided by an embodiment of the present application. Table 1 shows a real-time charging current value sequence of a target charging device charging a vehicle.

[0087] Table 1

[0088]

[0089] Specifically, the cloud system generates a real-time charging current value sequence, which contains the charging current value at each time point. In order to determine the start time of charging, the vehicle needs a non-zero real-time charging current value from the real-time charging current value sequence. The time point corresponding to this value is called the first moment. Then, we also need to find an adjacent moment before this first moment, whose charging current value is zero. This moment is called the second moment. According to this rule, the first moment is the start time of charging.

[0090] Once the charging start time is determined, we can calculate the real-time charging power at each time point based on the real-time charging current value sequence and battery voltage. The calculation formula is: real-time charging power = real-time charging current value × battery voltage.

[0091] For example, assume that the real-time charging current value sequence is [0,0,0,2,3,4,3,2], the time unit is minutes, and the battery voltage is 300V. Since the first moment is the 4th minute, the current value is 2A, and the second moment is the 3rd minute, the current value is 0, then the charging start time is the 4th minute. The real-time charging power is the 4th minute: 2A×300V=600W, the 5th minute: 3A×300V=900W, the 6th minute: 4A×300V=1200W, the 7th minute: 3A×300V=900W, the 8th minute: 2A×300V=600W.

[0092] In a specific implementation, the charging strategy may be a second charging strategy. See Table 2, which is a schematic diagram of a second charging strategy provided in an embodiment of the present application. As can be seen from Table 2, the second charging strategy includes the charging start time, charging end time, and real-time charging current value of the target charging device for charging the vehicle.

[0093] Table 2

[0094] Charging start time 2024 / 2 / 2822：00 Charging end time 2024 / 2 / 2823：00 1# Pile 5A 2# pile 5A 3# pile 5A

[0095] According to the charging start time, charging end time and real-time charging current value, the real-time charging power at each time point is calculated. The formula is: real-time charging power = real-time charging current value × battery voltage.

[0096] For example, assuming that the charging start time is 22:00, the charging end time is 23:00, the real-time charging current value is 5A, the battery voltage is 300V, and the time unit is 30 minutes, then the real-time charging power is 22:00-22:30: 5A×300V=1500W, 22:30-23:00: 5A×300V=1500W.

[0097] In a specific implementation, the charging strategy may be a third charging strategy. See Table 3, which is a schematic diagram of a third charging strategy provided in an embodiment of the present application.

[0098] Table 3

[0099]

[0100] As can be seen from Table 3, the third charging strategy is similar to the first charging strategy, except that the time point in Table 3 includes a specific date. In other words, the third charging strategy is a charging strategy based on a specific date and time, which is suitable for charging demand management in special circumstances.

[0101] Exemplarily, the application scenarios of the first charging strategy may include daily charging (applicable to fixed charging needs on ordinary working days, such as commuter vehicles charging at fixed time points every day) and periodic tasks (applicable to charging tasks that need to be repeated every day to ensure that the vehicle has enough power at fixed time points). The application scenarios of the third charging strategy may include holiday adjustments (adjusting the charging plan according to actual needs during holidays or special events to ensure the stable operation of the power system), seasonal power restrictions (when the power supply is tight due to high temperatures in summer or cold winter, the pressure on the power grid is reduced by adjusting the charging time and power) and emergencies (in emergencies, such as power failures or maintenance, temporarily adjusting the charging strategy to ensure the normal operation of key vehicles). By combining the first and third charging strategies, the charging tasks of the fleet can be better managed, and the charging efficiency and stability of the power grid can be improved.

[0102] S204: Determine the remaining charging time for the target charging device to charge the vehicle according to the charging start time and the real-time charging power.

[0103] After determining the charging start time and real-time charging power, it is also necessary to determine the remaining charging time for the target charging device to charge the vehicle in combination with the total battery capacity and the current SOC.

[0104] Taking the total battery capacity of 60kWh and the current SOC of 30% as an example, the remaining charge can be calculated by the following formula: Remaining charge = total battery capacity × (1-current SOC). For example, remaining charge = 60kWh × (1-0.30) = 60kWh × 0.70 = 42kWh.

[0105] The remaining charging time can be calculated by the following formula: Remaining charging time = Remaining charge ÷ Average charging power. The average charging power is calculated by adding up the charging power at all time points and dividing it by the number of time points. For example, assuming that the real-time charging power sequence is [6000W, 6000W, 3000W, 3000W, 3000W, 3000W], and the time unit is minutes, then the average charging power = (6000+6000+3000+3000+3000+3000) ÷ 6 = 24000 ÷ 6 = 4kW. Then, the calculation formula for the remaining charging time is: Remaining charging time = 42kWh ÷ 4kW = 10.5 hours.

[0106] As a result, the vehicle can accurately determine the remaining charging time based on the charging start time and real-time charging power, combined with the total battery capacity and current SOC.

[0107] S205: If the target time is later than the charging end time, and the sum of the real-time charging powers of multiple charging devices is less than the rated charging powers of the multiple charging devices, increase the real-time charging power according to the difference between the target time and the charging end time, wherein the multiple charging devices include the target charging device.

[0108] In a specific implementation, the charging end time may be the time when the valley electricity price ends. Exemplarily, if the valley electricity price ends at 23:00, the vehicle needs to end charging before 23:00. In another specific implementation, the charging end time may be the vehicle's waiting time for scheduling. Exemplarily, if the vehicle needs to be scheduled at 15:00, the vehicle needs to end charging before 15:00. In another specific implementation, the charging end time may be the moment when the sum of the real-time charging powers of multiple charging devices is greater than a preset power threshold. Exemplarily, if the cloud system receives instructions for charging multiple vehicles, and all instructions indicate that at a certain moment the sum of the real-time charging powers of multiple charging devices is greater than the preset power threshold, then that moment is the charging end time.

[0109] It should be noted that it is necessary to determine whether the sum of the real-time charging powers of multiple charging devices is less than the rated charging powers of multiple charging devices. Only when the target time is later than the charging end time, and the sum of the real-time charging powers of multiple charging devices is less than the rated charging powers of multiple charging devices, can the real-time charging power be increased according to the difference between the target time and the charging end time. For example, if there are three charging piles, each with a rated charging power of 10kW, the total rated charging power of the three charging piles is 30kW. If the sum of the real-time charging powers of all current charging piles is 20kW, then the condition that the sum of the real-time charging powers of multiple charging devices is less than the rated charging powers of multiple charging devices is met. Among them, ensuring that the total real-time charging power does not exceed the total rated charging power is to prevent the charging station from being overloaded. If the total real-time charging power exceeds the total rated charging power, it may cause the temperature of the charging equipment and the battery to rise, which may cause overheating, and long-term overload operation may damage the charging equipment and the battery, shortening their service life, and excessive charging power may cause electrical system failures, and even cause serious safety accidents such as fires.

[0110] It should also be noted that the specific method of increasing the real-time charging power according to the difference between the target time and the charging end time is similar to S103 and will not be described in detail here.

[0111] S206: Sending a charging instruction to the target charging device, where the charging instruction instructs the target charging device to charge the vehicle according to the increased charging power.

[0112] The charging instruction includes information about the increased charging power, and the purpose is to allow the target charging device to charge the vehicle with the increased charging power.

[0113] In this way, it can be ensured that the vehicle is fully charged before the off-peak electricity price ends, thereby saving electricity costs and meeting the user's charging needs. Alternatively, it can be ensured that the vehicle is fully charged before the vehicle is scheduled, thereby ensuring that the vehicle is available on time and meeting the user's travel plan. Alternatively, it can be ensured that the vehicle is fully charged before the sum of the real-time charging power of multiple charging devices is greater than the preset power threshold, thereby avoiding grid overload and ensuring the safety and stability of the charging system. In this way, not only the charging efficiency is improved, but also the overall energy management is optimized and the user experience is improved.

[0114] In summary, the embodiment of the present application provides an energy management method. The energy management method provided by the embodiment of the present application can shorten the charging time by dynamically increasing the real-time charging power of the vehicle when the sum of the remaining charging time and the current time (i.e., the time when charging is expected to be completed) is later than the time when the valley electricity price ends. This not only improves the charging efficiency of the vehicle, but also enables charging to be completed when the electricity price is low, thereby helping to reduce the charging cost and achieve economical utilization of energy. Alternatively, the energy management method provided by the embodiment of the present application can ensure that the vehicle completes charging before the time when the vehicle is scheduled, thereby ensuring that the vehicle is available on time and meets the user's travel plan. Alternatively, the energy management method provided by the embodiment of the present application can ensure that the vehicle completes charging before the sum of the real-time charging powers of multiple charging devices is greater than the preset power threshold, thereby avoiding grid overload and ensuring the safety and stability of the charging system. As a result, not only the charging efficiency is improved, but also the overall energy management is optimized and the user experience is improved.

[0115] See also Figure 4 , which is a schematic diagram of an energy management device provided in an embodiment of the present application. The energy management device 400 is applied to a vehicle and includes: a strategy acquisition module 401, a time determination module 402, a power increase module 403 and an instruction sending module 404.

[0116] A strategy acquisition module 401 is used to acquire a charging strategy of a vehicle, wherein the charging strategy indicates a real-time charging power of a target charging device for charging the vehicle;

[0117] The time determination module 402 is used to determine the remaining charging time for the target charging device to charge the vehicle according to the real-time charging power;

[0118] The power increasing module 403 is used to increase the real-time charging power according to the difference between the target time and the charging end time if the target time is later than the charging end time, wherein the target time is the sum of the remaining charging time and the current time, and the charging end time indicates the time when the valley electricity price ends;

[0119] The instruction sending module 404 is used to send a charging instruction to a target charging device, where the charging instruction instructs the target charging device to charge the vehicle according to the increased charging power.

[0120] In a specific implementation, the power increasing module 403 is specifically used to: if the target time is later than the charging end time, and the sum of the real-time charging powers of multiple charging devices is less than the rated charging powers of the multiple charging devices, then increase the real-time charging power according to the difference between the target time and the charging end time, wherein the multiple charging devices include the target charging device.

[0121] In a specific implementation, the charging end time indicates one of the time when the off-peak electricity price ends, the time when the vehicle is to be scheduled, and the time when the sum of the real-time charging powers of multiple charging devices is greater than a preset power threshold.

[0122] In a specific implementation, the charging strategy also indicates the charging start time for the target charging device to charge the vehicle; the time determination module 402 is specifically used to determine the remaining charging time for the target charging device to charge the vehicle according to the charging start time and the real-time charging power.

[0123] In a specific implementation, the charging strategy includes a first charging strategy, the first charging strategy indicating a real-time charging current value sequence for charging a vehicle by a target charging device;

[0124] The unit for determining the charging start time and the real-time charging power by the first charging strategy is specifically as follows:

[0125] A first determining unit is used to obtain a real-time charging current value at a first moment according to the real-time charging current value sequence, wherein the real-time charging current value at the first moment is not zero, the first moment is an adjacent moment later than the second moment, and the real-time charging current value at the second moment is zero;

[0126] The second determining unit is used to determine the first moment as the charging start moment, and to determine the real-time charging power according to the real-time charging current value sequence and the charging start moment.

[0127] In a specific implementation, the charging strategy includes a second charging strategy, and the second charging strategy includes a charging start time, a charging end time, and a real-time charging current value when the target charging device charges the vehicle;

[0128] The unit for determining the real-time charging power by the second charging strategy is specifically as follows:

[0129] The third determining unit is used to determine the real-time charging power according to the charging start time, the charging end time and the real-time charging current value.

[0130] In a specific implementation, the real-time charging power is negatively correlated with the real-time electricity price.

[0131] In a specific implementation, the policy acquisition module 401 specifically includes: a first acquisition module and a second acquisition module;

[0132] A first acquisition module is used to send the battery state of charge and battery temperature of the vehicle to the cloud system, so that the cloud system determines the real-time charging power according to the battery state of charge and battery temperature;

[0133] The second acquisition module is used to receive the charging strategy sent by the cloud system.

[0134] In summary, the embodiment of the present application provides an energy management device. The energy management device provided by the embodiment of the present application can shorten the charging time by dynamically increasing the real-time charging power of the vehicle when the sum of the remaining charging time and the current time (i.e., the time when charging is expected to be completed) is later than the time when the valley electricity price ends. This not only improves the charging efficiency of the vehicle, but also enables charging to be completed when the electricity price is low, thereby helping to reduce charging costs and achieve economical use of energy. Alternatively, the energy management device provided by the embodiment of the present application can ensure that the vehicle completes charging before the time when the vehicle is scheduled, thereby ensuring that the vehicle is available on time and meets the user's travel plan. Alternatively, the energy management device provided by the embodiment of the present application can ensure that the vehicle completes charging before the sum of the real-time charging powers of multiple charging devices is greater than the preset power threshold, thereby avoiding grid overload and ensuring the safety and stability of the charging system. As a result, not only the charging efficiency is improved, but also the overall energy management is optimized and the user experience is improved.

[0135] Correspondingly, the present application also discloses a vehicle, comprising an energy management device as described in the aforementioned embodiment, wherein the energy management device is used to execute the aforementioned energy management method.

[0136] A vehicle provided in an embodiment of the present application has the beneficial effects of the energy management method and energy management device introduced above.

[0137] The "first" and "second" in the names such as "first" and "second" (if any) mentioned in the embodiments of the present application are only used as name identifiers and do not represent the first or second in order.

[0138] Through the description of the above implementation methods, it can be known that those skilled in the art can clearly understand that all or part of the steps in the above-mentioned embodiment method can be implemented by means of software plus a general hardware platform. Based on such an understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a storage medium, such as a read-only memory (ROM) / RAM, a magnetic disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network communication device such as a router) to execute the methods described in each embodiment of the present application or some parts of the embodiments.

[0139] It should be noted that the various embodiments in this specification are described in a progressive manner, and the same and similar parts between the various embodiments can refer to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and medium embodiments, since they are basically similar to the system and method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment. The device and medium embodiments described above are merely schematic, in which the units described as separate components may or may not be physically separated, and the components indicated as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0140] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An energy management method, characterized in that: Applied to a vehicle, the method comprises: Acquire a charging strategy for the vehicle, wherein the charging strategy indicates a real-time charging power of a target charging device for charging the vehicle; Determining the remaining charging time for the target charging device to charge the vehicle according to the real-time charging power; If the target time is later than the charging end time, the real-time charging power is increased according to the difference between the target time and the charging end time, wherein the target time is the sum of the remaining charging time and the current time, and the charging end time indicates the time when the off-peak electricity price ends; A charging instruction is sent to the target charging device, wherein the charging instruction instructs the target charging device to charge the vehicle according to the increased charging power.

2. The method according to claim 1, characterized in that If the target time is later than the charging end time, increasing the real-time charging power according to the difference between the target time and the charging end time includes: If the target time is later than the charging end time, and the sum of the real-time charging powers of multiple charging devices is less than the rated charging powers of the multiple charging devices, the real-time charging power is increased according to the difference between the target time and the charging end time, wherein the multiple charging devices include the target charging device.

3. The method according to claim 2, characterized in that The charging end time indicates one of a time when the off-peak electricity price ends, a time when the vehicle is to be scheduled, and a time when the sum of the real-time charging powers of the plurality of charging devices is greater than a preset power threshold.

4. The method according to claim 1, characterized in that: The charging strategy also indicates the charging start time for the target charging device to charge the vehicle; The determining, according to the real-time charging power, the remaining charging time for the target charging device to charge the vehicle includes: The remaining charging time for the target charging equipment to charge the vehicle is determined according to the charging start time and the real-time charging power.

5. The method according to claim 4, characterized in that The charging strategy includes a first charging strategy, wherein the first charging strategy indicates a real-time charging current value sequence for charging the vehicle by a target charging device; The method of determining the charging start time and the real-time charging power by using the first charging strategy is specifically as follows: According to the real-time charging current value sequence, obtaining a real-time charging current value at a first moment, wherein the real-time charging current value at the first moment is not zero, the first moment is an adjacent moment later than a second moment, and the real-time charging current value at the second moment is zero; The first time is determined as a charging start time, and the real-time charging power is determined according to the real-time charging current value sequence and the charging start time.

6. The method according to claim 1, characterized in that The charging strategy includes a second charging strategy, wherein the second charging strategy includes a charging start time, a charging end time, and a real-time charging current value when the target charging device charges the vehicle; The method of determining the real-time charging power by using the second charging strategy is specifically as follows: The real-time charging power is determined according to the charging start time, the charging end time and the real-time charging current value.

7. The method according to any one of claims 1 to 6, characterized in that: The real-time charging power is negatively correlated with the real-time electricity price.

8. The method according to claim 1, characterized in that The obtaining of the charging strategy of the vehicle includes: Sending the battery state of charge and battery temperature of the vehicle to a cloud system so that the cloud system determines the real-time charging power according to the battery state of charge and battery temperature; Receive the charging strategy sent by the cloud system.

9. An energy management device, characterized in that: Applied to a vehicle, the device comprises: a strategy acquisition module, a time determination module, a power increase module and an instruction sending module; The strategy acquisition module is used to acquire the charging strategy of the vehicle, wherein the charging strategy indicates the real-time charging power of the target charging device for charging the vehicle; The time determination module is used to determine the remaining charging time for the target charging device to charge the vehicle according to the real-time charging power; The power increasing module is used to increase the real-time charging power according to the difference between the target time and the charging end time if the target time is later than the charging end time, wherein the target time is the sum of the remaining charging time and the current time, and the charging end time indicates the time when the valley electricity price ends; The instruction sending module is used to send a charging instruction to the target charging device, wherein the charging instruction instructs the target charging device to charge the vehicle according to the increased charging power.

10. A vehicle, characterized in that: The vehicle comprises an energy management device as claimed in claim 9.

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