Charging time determination method and device, equipment and vehicle

Abstract

The invention provides a charging time determining method, device and equipment and a vehicle, and the charging time determining method comprises the steps: determining target electric energy needed for charging the vehicle to a target charge state based on the current charge state and the target charge state of the vehicle; comparing the current charging data with historical charging data of the direct current charging pile to obtain predicted charging power of the direct current charging pile; based on the target electric energy and the predicted charging power, determining a target duration required for charging the vehicle to a target charge state; and determining a charging start moment based on the expected charging completion moment and the target duration. According to the invention, the accuracy of the charging start moment in the on-time charging ending mode of the DC charging pile can be improved.

Description

Technical Field

[0001] This application relates to the field of vehicle charging technology, and in particular to a method, apparatus, equipment and vehicle for determining charging time. Background Technology

[0002] Most new energy vehicles have two charging methods: DC charging and AC charging. Users can choose public charging stations or private charging stations to replenish their power.

[0003] To improve charging convenience, vehicles now feature a scheduled charging function for private charging stations, offering various scheduling options. One such option is a timed charging completion mode, allowing drivers to set a specific time for charging to finish. Drivers can input their desired completion time (e.g., 7:00 AM), and the system automatically calculates the optimal start time to ensure charging is completed before that time. This is particularly helpful for users who need to travel on time or have a fully charged battery.

[0004] Currently, in the on-time end charging mode of DC charging piles, the existing calculation method for the charging start time is inaccurate, resulting in a low accuracy rate for the calculated charging start time. Summary of the Invention

[0005] This application provides a method, apparatus, device, and vehicle for determining charging time, in order to improve the accuracy of the charging start time in the on-time end charging mode of DC charging piles.

[0006] According to a first aspect of the embodiments of this application, a method for determining charging time is provided, including:

[0007] Based on the vehicle's current state of charge and target state of charge, determine the target electrical energy required to charge the vehicle to the target state of charge;

[0008] By comparing the current charging data with the historical charging data of the DC charging pile, the predicted charging power of the DC charging pile is obtained.

[0009] Based on the target electrical energy and the predicted charging power, the target duration required for the vehicle to charge to the target state of charge is determined;

[0010] The charging start time is determined based on the expected charging completion time and the target duration.

[0011] Optionally, the current charging data includes at least one of the expected charging completion time, the target energy, and environmental parameters for the expected charging time period.

[0012] Optionally, the step of comparing current charging data with historical charging data of the DC charging pile to obtain the predicted charging power of the DC charging pile includes:

[0013] Based on the expected charging completion time, the target electrical energy, and the environmental parameters of the expected charging time period, the first historical charging power of the DC charging pile is retrieved from the historical charging data of the DC charging pile; wherein, the historical charging data includes the historical actual charging completion time, the electrical energy required for historical charging, historical environmental parameters, and historical charging power.

[0014] The first historical charging power is determined as the predicted charging power of the DC charging pile.

[0015] Optionally, the step of comparing current charging data with historical charging data of the DC charging pile to obtain the predicted charging power of the DC charging pile includes:

[0016] Based on the expected charging completion time and the target electrical energy, the second historical charging power of the DC charging pile is retrieved from the historical charging data of the DC charging pile; wherein, the historical charging data includes the historical actual charging completion time, the electrical energy required for historical charging, and the historical charging power;

[0017] Based on environmental parameters during the expected charging period, the second historical charging power is corrected to obtain the predicted charging power of the DC charging pile.

[0018] Optionally, the step of correcting the second historical charging power based on environmental parameters during the expected charging period to obtain the predicted charging power of the DC charging pile includes:

[0019] The predicted temperature of the DC charging pile is determined based on environmental parameters during the expected charging period.

[0020] Based on the predicted temperature of the DC charging pile, the second historical charging power is corrected to obtain the predicted charging power of the DC charging pile.

[0021] There is a negative correlation between the predicted charging power of the DC charging pile and the predicted temperature of the DC charging pile.

[0022] Optionally, the method further includes:

[0023] The DC charging pile is controlled to start charging the vehicle at the charging start time;

[0024] After the vehicle has finished charging, obtain the actual time when the vehicle has finished charging.

[0025] Obtain the actual charging power of the DC charging pile during the actual charging process of the vehicle;

[0026] The actual charging completion time, the target electrical energy, and the actual charging power of the DC charging pile are stored in the historical charging data of the DC charging pile.

[0027] Optionally, the method further includes:

[0028] Based on the actual charging completion time of the vehicle, obtain the environmental parameters for the actual charging time period.

[0029] The environmental parameters of the actual charging time period are stored in the historical charging data of the DC charging pile.

[0030] According to a second aspect of the embodiments of this application, a charging time determining device is provided, comprising:

[0031] An energy determination unit is used to determine the target energy required to charge the vehicle to the target state of charge based on the vehicle's current state of charge and the target state of charge.

[0032] A power determination unit is used to compare the current charging data with the historical charging data of the DC charging pile to obtain the predicted charging power of the DC charging pile.

[0033] The duration determination unit is used to determine the target duration required for the vehicle to be charged to the target state of charge based on the target electrical energy and the predicted charging power.

[0034] The time determination unit is used to determine the charging start time based on the expected charging completion time and the target duration.

[0035] According to a third aspect of the embodiments of this application, an electronic device is provided, including a memory and a processor;

[0036] The memory is connected to the processor and is used to store programs;

[0037] The processor is used to implement the charging time determination method as described in the first aspect by running a program in the memory.

[0038] According to a fourth aspect of the embodiments of this application, a vehicle is provided, including electronic equipment as described in the third aspect.

[0039] In this application, the predicted charging power of the DC charging pile is obtained by comparing current charging data with historical charging data of the DC charging pile. In determining the predicted charging power, this application fully considers the power supply capacity of the DC charging pile in scenarios similar to the current charging data from historical charging data. The calculated predicted charging power is more consistent with the historical charging situation of the DC charging pile, thus improving the accuracy of the predicted charging power. Based on the vehicle's current state of charge and target state of charge, the target electrical energy required to charge the vehicle to the target state of charge is determined. Based on the target electrical energy and the predicted charging power, the target duration required to charge the vehicle to the target state of charge is determined. This further improves the accuracy of the target duration required to charge the vehicle to the target state of charge, building upon the improved accuracy of the predicted charging power. Based on the expected charging completion time and the target duration, the charging start time is determined. This further improves the accuracy of the charging start time, making the actual charging completion time closer to the expected charging completion time, thus enhancing the user's driving experience. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0041] Figure 1 This is a flowchart illustrating a method for determining charging time provided in an embodiment of this application;

[0042] Figure 2 This is a flowchart illustrating step 102 provided in an embodiment of this application;

[0043] Figure 3 This is a flowchart illustrating another step 102 provided in an embodiment of this application;

[0044] Figure 4 This is a flowchart illustrating step 302 provided in an embodiment of this application;

[0045] Figure 5 This is a flowchart illustrating another step 102 provided in an embodiment of this application;

[0046] Figure 6 This is a flowchart illustrating an iterative update process for historical charging data provided in an embodiment of this application.

[0047] Figure 7This is a flowchart illustrating another iterative update process for historical charging data provided in an embodiment of this application.

[0048] Figure 8 This is a flowchart illustrating a method for determining charging time provided in an embodiment of this application;

[0049] Figure 9 This is a schematic diagram of a charging time determination device provided in an embodiment of this application;

[0050] Figure 10 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0051] Most new energy vehicles offer two charging methods: DC charging and AC charging. Users can choose between public or private charging stations for charging. For private charging stations, most brands provide AC charging stations with a maximum charging power of 7kW and DC charging stations with a maximum charging power of 20kW for users to install and use.

[0052] To improve charging convenience, vehicles now feature a scheduled charging function for private charging stations, offering multiple scheduling options: scheduled start charging, time-based charging, and scheduled end charging. Each scheduled charging mode is designed to adapt to different usage scenarios, providing car owners with more flexible and economical charging choices.

[0053] One feature is the scheduled charging end mode, which allows users to set a specific time for charging to complete. Owners can input their desired charging completion time (e.g., 7:00 AM), and the system will automatically calculate the optimal charging start time to ensure charging is finished before that time. This is particularly helpful for users who need to travel on time or have a fully charged battery.

[0054] Currently, the charging start time is calculated based on the user-defined desired charging completion time, the target state of charge (SBC), the vehicle's current SBC, and the charging power of the charging station. Specifically, in the timed-end charging mode of AC charging stations, the maximum charging power of the AC charging station (e.g., 7kW) is used to calculate the charging start time. In the timed-end charging mode of DC charging stations, a fixed, user-defined charging power value is used to calculate the charging start time.

[0055] For AC charging scenarios, because AC charging piles have low charging power and generate little heat, the output power of AC charging piles can be guaranteed during the charging process, and the calculated charging start time is relatively accurate.

[0056] For DC charging scenarios, DC charging piles have high charging power, generate a lot of heat, and are significantly affected by the environment. During DC charging, the actual output power of the charging pile may be unstable. Therefore, using a fixed, manually defined charging power value to calculate the charging start time can lead to low accuracy in some environments, resulting in the charging start time being too early or too late. The consequences of starting too early are: stopping charging prematurely means that by the time the user actually needs to use the vehicle, the battery may have already been depleted due to the vehicle's low-voltage consumption. The consequences of starting too late are: charging may not be complete when the user needs to use the vehicle.

[0057] To improve the accuracy of the charging start time in the on-time end charging mode of DC charging piles, this application provides a charging time determination method, device, equipment, and vehicle.

[0058] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0059] Exemplary Implementation Environment

[0060] The charging time determination method according to the embodiments of this application can be executed by electronic devices such as terminal devices or servers. The terminal device can be a user device, mobile device, computing device, vehicle-mounted device, etc., and the server can be an independent physical server, a server cluster composed of multiple physical servers, or a cloud server capable of cloud computing. This method can be implemented by a processor calling computer-readable program instructions stored in memory.

[0061] In exemplary embodiments, the charging time determination method according to the embodiments of this application can be executed by a VCU (Vehicle Control Unit), a DC charging pile, or a cloud server; this application does not limit this. The following embodiments use the example of the charging time determination method according to the embodiments of this application being executed by a VCU for explanation and illustration.

[0062] Exemplary methods

[0063] Please see Figure 1 In one exemplary embodiment, a method for determining charging time is provided. For example... Figure 1 As shown, the process of determining charging time mainly includes:

[0064] Step 101: Based on the vehicle's current state of charge and target state of charge, determine the target electrical energy required to charge the vehicle to the target state of charge.

[0065] In the exemplary embodiment, the State of Charge (SOC) refers to the percentage of the battery's remaining charge relative to its total capacity. The target State of Charge refers to the final State of Charge that the vehicle is expected to achieve during charging, as set by the user.

[0066] In the exemplary embodiment, target electrical energy = battery capacity * (target state of charge - current state of charge).

[0067] Step 102: Compare the current charging data with the historical charging data of the DC charging pile to obtain the predicted charging power of the DC charging pile.

[0068] In some embodiments, the current charging data includes at least one of the following: the expected charging completion time, the target energy, and environmental parameters of the expected charging period. As needed, the current charging data may also include other data corresponding to the current charging status, and this application does not impose any limitations on this.

[0069] Current charging data includes at least one of the following: expected charging completion time, target energy, and environmental parameters for the expected charging time period. In determining the predicted charging power of a DC charging pile, charging parameters such as the expected charging completion time and target energy for the current charging process can be considered, as well as environmental parameters for the expected charging time period. This fully considers the impact of the environment on the charging power of the DC charging pile and the power supply capacity of the DC charging pile under similar charging parameters and environments in historical charging data. The calculated predicted charging power is more consistent with the historical charging situation of the DC charging pile, thus improving the accuracy of the predicted charging power of the DC charging pile.

[0070] In the exemplary embodiment, the desired charging completion time refers to the time set by the user that the vehicle is expected to complete charging.

[0071] In an exemplary embodiment, the estimated charging time period refers to the anticipated vehicle charging time period. The estimated charging time period can refer to a specific time period on the vehicle charging date, for example, from 3 PM to 5 PM on June 1, 2025, or it can refer to the vehicle charging date itself, for example, June 1, 2025. For example, when the estimated charging time period refers to a specific time period on the vehicle charging date, the process for determining the estimated charging time period is as follows: Based on the target electrical energy and the preset charging power, determine the estimated charging duration; based on the expected charging completion time and the estimated charging duration, determine the estimated charging time period. The estimated charging time period is an approximate estimated time period and will not be very accurate. Since the estimated charging time period is used to obtain environmental parameters, slight deviations in the estimated charging time period will not significantly affect the accuracy of the environmental parameters.

[0072] In the exemplary embodiment, environmental parameters may include, but are not limited to, ambient temperature, lighting conditions, and weather.

[0073] In the exemplary embodiment, public charging piles do not support the timed end charging mode. Currently, only private charging piles support the timed end charging mode. At present, a household will generally only have one private DC charging pile. Therefore, it is assumed that a vehicle is only charged at one private DC charging pile, and the charging data of each DC charging pile is recorded.

[0074] In the exemplary embodiment, the historical charging data of the DC charging pile can be stored in the vehicle, the DC charging pile, or a cloud server; this application does not limit this.

[0075] In some embodiments, such as Figure 2 As shown, step 102 includes:

[0076] Step 201: Based on the expected charging completion time, target energy, and environmental parameters of the expected charging time period, find the first historical charging power of the DC charging pile from the historical charging data of the DC charging pile.

[0077] The historical charging data includes the actual time of completion of charging in history, the electrical energy required for charging in history, historical environmental parameters, and historical charging power.

[0078] In an exemplary embodiment, there is a first mapping relationship between the historical actual charging completion time, the historical charging required energy, the historical environmental parameters, and the historical charging power. According to the first mapping relationship, the first historical charging power corresponding to the expected charging completion time, the target energy, and the environmental parameters of the expected charging time period is found.

[0079] In the exemplary embodiment, the actual historical charging completion time refers to the moment when the vehicle actually completes charging during the historical charging process, rather than the expected charging completion time set by the user during the historical charging process.

[0080] In the exemplary embodiment, historical environmental parameters refer to environmental parameters during the actual charging time period in the historical charging process.

[0081] In the exemplary embodiment, historical charging power refers to the actual charging power of the DC charging pile during the historical charging process. The actual charging power of the DC charging pile can refer to the average charging power of the DC charging pile during the historical charging process. The historical charging power can be recorded by the DC charging pile during the historical charging process or by the vehicle during the historical charging process; this application does not impose any limitations on this.

[0082] Step 202: Determine the first historical charging power as the predicted charging power of the DC charging pile.

[0083] Historical charging data includes historical actual charging completion times, historical charging energy requirements, historical environmental parameters, and historical charging power. Based on the expected charging completion time, target energy, and environmental parameters for the expected charging period, the system can directly retrieve the first historical charging power of the DC charging pile from its historical charging data and determine it as the predicted charging power. This fully considers the power supply capacity of the DC charging pile under similar charging parameters and environments as the current charging data. Furthermore, since the predicted charging power is directly obtained from the historical charging data, it can improve the accuracy of the predicted charging power.

[0084] In other embodiments, such as Figure 3 As shown, step 102 includes:

[0085] Step 301: Based on the expected charging completion time and target energy, find the second historical charging power of the DC charging pile from the historical charging data of the DC charging pile.

[0086] The historical charging data includes the actual time of completion of charging in history, the electrical energy required for charging in history, and the charging power in history.

[0087] In an exemplary embodiment, a second mapping relationship exists between the historical actual charging completion time, the electrical energy required for historical charging, and the historical charging power. Based on this second mapping relationship, the second historical charging power corresponding to the desired charging completion time and the target electrical energy is found. For example, as shown in Table 1, the second mapping relationship between the historical actual charging completion time, the electrical energy required for historical charging, and the historical charging power is stored.

[0088] Table 1

[0089]

[0090] For example, if the expected charging completion time is 12 o'clock and the target energy is A2, we can find the historical charging power corresponding to the historical actual charging completion time of 12 o'clock and the historical charging energy A2 from Table 1. This is the second historical charging power, which is B2.

[0091] In the exemplary embodiment, the actual historical charging completion time refers to the moment when the vehicle actually completes charging during the historical charging process, rather than the expected charging completion time set by the user during the historical charging process.

[0092] In the exemplary embodiment, historical charging power refers to the actual charging power of the DC charging pile during the historical charging process. The actual charging power of the DC charging pile can refer to the average charging power of the DC charging pile during the historical charging process. The historical charging power can be recorded by the DC charging pile during the historical charging process or by the vehicle during the historical charging process; this application does not impose any limitations on this.

[0093] Step 302: Based on the environmental parameters of the expected charging time period, the second historical charging power is corrected to obtain the predicted charging power of the DC charging pile.

[0094] Based on the expected charging completion time and target energy, the second historical charging power of the DC charging pile is found from its historical charging data. Then, based on the environmental parameters of the expected charging time period, the second historical charging power is corrected to obtain the predicted charging power of the DC charging pile. This method fully considers the power supply capacity of the DC charging pile under similar charging parameters as the current charging data in the historical charging data, as well as the impact of the environment on the charging power of the DC charging pile, which can improve the accuracy of the predicted charging power of the DC charging pile.

[0095] In some embodiments, such as Figure 4 As shown, step 302 includes:

[0096] Step 401: Determine the predicted temperature of the DC charging pile based on environmental parameters for the expected charging time period.

[0097] In the exemplary embodiment, environmental parameters may include, but are not limited to, ambient temperature, lighting conditions, etc.

[0098] In the exemplary embodiment, the higher the ambient temperature, the higher the temperature of the DC charging pile. Irradiance also affects the charging power of the DC charging pile by influencing its temperature.

[0099] In an exemplary embodiment, environmental parameters for the expected charging time period can be obtained from the network, for example, from a weather forecast.

[0100] In an exemplary embodiment, a third mapping relationship between environmental parameters and the temperature of the DC charging pile can be established in advance, and the predicted temperature of the DC charging pile corresponding to the environmental parameters for the expected charging time period can be found according to the third mapping relationship.

[0101] Step 402: Based on the predicted temperature of the DC charging pile, the second historical charging power is corrected to obtain the predicted charging power of the DC charging pile.

[0102] Among them, there is a negative correlation between the predicted charging power of DC charging piles and the predicted temperature of DC charging piles.

[0103] In an exemplary embodiment, the higher the predicted temperature of the DC charging pile, the lower the predicted charging power of the DC charging pile.

[0104] Based on environmental parameters during the expected charging period, the predicted temperature of the DC charging pile is determined. The temperature of the DC charging pile is an important factor affecting its charging power. There is a negative correlation between the predicted charging power and the predicted temperature of the DC charging pile. Based on the predicted temperature of the DC charging pile, the second historical charging power is corrected to obtain the predicted charging power of the DC charging pile. This method can accurately correct the charging power of the DC charging pile according to its predicted temperature, thereby improving the accuracy of the predicted charging power.

[0105] In other embodiments, such as Figure 5 As shown, step 102 includes:

[0106] Step 501: Based on the expected charging completion time and target energy, find the second historical charging power of the DC charging pile from the historical charging data of the DC charging pile.

[0107] The historical charging data includes the actual time of completion of charging in history, the electrical energy required for charging in history, and the charging power in history.

[0108] Step 502: Determine the second historical charging power as the predicted charging power of the DC charging pile.

[0109] Based on the expected charging completion time and target energy, the second historical charging power of the DC charging pile is retrieved from its historical charging data, and this second historical charging power is determined as the predicted charging power of the DC charging pile. This fully considers the power supply capacity of the DC charging pile under similar charging parameters as the current charging data in the historical charging data. Moreover, the predicted charging power of the DC charging pile is directly retrieved from the historical charging data of the DC charging pile, which can improve the accuracy of the predicted charging power of the DC charging pile.

[0110] Step 103: Based on the target electrical energy and the predicted charging power, determine the target time required for the vehicle to charge to the target state of charge.

[0111] In the exemplary embodiment, the target duration = target electrical energy / predicted charging power.

[0112] Step 104: Determine the charging start time based on the expected charging completion time and target duration.

[0113] In the exemplary embodiment, the charging start time = expected charging completion time - target duration.

[0114] In some embodiments, the charging time determination method further includes an iterative update process for historical charging data. For example... Figure 6 As shown, the iterative update process of historical charging data includes:

[0115] Step 601: Control the DC charging pile to start charging the vehicle at the start of charging.

[0116] Step 602: After the vehicle is fully charged, obtain the actual time when the charging is completed.

[0117] Step 603: Obtain the actual charging power of the DC charging pile during the actual charging process of the vehicle.

[0118] In an exemplary embodiment, the actual charging power of the DC charging pile can refer to the average charging power of the DC charging pile during the actual charging process of the vehicle.

[0119] In the exemplary embodiment, the actual charging power of the DC charging pile during the actual charging process of the vehicle can be obtained through the vehicle or through the DC charging pile, and this application does not limit this.

[0120] Step 604: Store the actual charging completion time, target energy, and actual charging power of the DC charging pile into the historical charging data of the DC charging pile.

[0121] After each actual charging is completed, the actual charging completion time, target energy, and actual charging power of the DC charging pile are stored in the historical charging data of the DC charging pile. The historical charging data of the DC charging pile is updated continuously, which can improve the accuracy of the historical charging data. By comparing the current charging data with the historical charging data of the DC charging pile, the predicted charging power of the DC charging pile is obtained, thereby improving the accuracy of the predicted charging power of the DC charging pile.

[0122] In other embodiments, such as Figure 7 As shown, the iterative update process of historical charging data includes:

[0123] Step 701: Control the DC charging pile to start charging the vehicle at the start of charging.

[0124] Step 702: After the vehicle is fully charged, obtain the actual time when the charging is completed.

[0125] Step 703: Based on the actual charging completion time of the vehicle, obtain the environmental parameters for the actual charging time period.

[0126] In the exemplary embodiment, the actual charging time period refers to the time period between the start time of charging and the actual completion time of charging.

[0127] Step 704: Obtain the actual charging power of the DC charging pile during the actual charging process of the vehicle.

[0128] Step 705: Store the actual charging completion time, target energy, environmental parameters of the actual charging time period, and actual charging power of the DC charging pile into the historical charging data of the DC charging pile.

[0129] After each actual charging is completed, the actual charging completion time, target energy, environmental parameters of the actual charging time period, and actual charging power of the DC charging pile are stored in the historical charging data of the DC charging pile. The historical charging data of the DC charging pile is continuously updated, which can improve the accuracy of the historical charging data. Moreover, it not only updates the actual charging completion time, target energy, and actual charging power of the DC charging pile, but also updates the environmental parameters of the actual charging time period. This makes it easier to obtain the power supply capability of the DC charging pile in similar charging parameters and environments as the current charging data in the historical charging data, thereby improving the accuracy of the predicted charging power of the DC charging pile.

[0130] In some embodiments, such as Figure 8 As shown, the methods for determining charging time include:

[0131] Step 801: Based on the vehicle's current state of charge and target state of charge, determine the target electrical energy required to charge the vehicle to the target state of charge.

[0132] Step 802: Based on the expected charging completion time, target energy, and environmental parameters of the expected charging time period, find the first historical charging power of the DC charging pile from the historical charging data of the DC charging pile, and determine the first historical charging power as the predicted charging power of the DC charging pile.

[0133] The historical charging data includes the actual time of completion of charging in history, the electrical energy required for charging in history, historical environmental parameters, and historical charging power.

[0134] Step 803: Based on the target electrical energy and the predicted charging power, determine the target duration required for the vehicle to charge to the target state of charge.

[0135] Step 804: Determine the charging start time based on the expected charging completion time and the target duration.

[0136] Step 805: Control the DC charging pile to start charging the vehicle at the start of charging.

[0137] Step 806: After the vehicle is fully charged, obtain the actual time when the charging is completed.

[0138] Step 807: Based on the actual charging completion time of the vehicle, obtain the environmental parameters of the actual charging time period, and obtain the actual charging power of the DC charging pile during the actual charging process of the vehicle.

[0139] Step 808: Store the actual charging completion time, target energy, environmental parameters of the actual charging time period, and actual charging power of the DC charging pile into the historical charging data of the DC charging pile.

[0140] In summary, this application compares current charging data with historical charging data of the DC charging pile to obtain the predicted charging power. In determining the predicted charging power, this application fully considers the power supply capacity of the DC charging pile in scenarios similar to the current charging data from historical charging data. The calculated predicted charging power is more consistent with the historical charging situation of the DC charging pile, thus improving the accuracy of the predicted charging power. Based on the vehicle's current state of charge and target state of charge, the target electrical energy required to charge the vehicle to the target state of charge is determined. Based on the target electrical energy and the predicted charging power, the target duration required to charge the vehicle to the target state of charge is determined. This further improves the accuracy of the target duration required to charge the vehicle to the target state of charge, building upon the improved accuracy of the predicted charging power. Based on the expected charging completion time and the target duration, the charging start time is determined. This further improves the accuracy of the charging start time, making the actual charging completion time closer to the expected charging completion time, thus enhancing the user experience.

[0141] Exemplary device

[0142] Accordingly, embodiments of this application also provide a charging time determination device, such as... Figure 9 As shown, the charging time determining device includes:

[0143] The power determination unit 901 is used to determine the target power required to charge the vehicle to the target state of charge based on the vehicle's current state of charge and the target state of charge.

[0144] The power determination unit 902 is used to compare the current charging data with the historical charging data of the DC charging pile to obtain the predicted charging power of the DC charging pile.

[0145] The duration determination unit 903 is used to determine the target duration required for the vehicle to be charged to the target state of charge based on the target electrical energy and the predicted charging power;

[0146] The timing determination unit 904 is used to determine the charging start time based on the expected charging completion time and the target duration.

[0147] Optionally, the current charging data includes at least one of the expected charging completion time, the target energy, and environmental parameters for the expected charging time period.

[0148] Optionally, the power determination unit 902 includes:

[0149] The first search subunit is used to search for the first historical charging power of the DC charging pile from the historical charging data of the DC charging pile based on the expected charging completion time, the target electrical energy, and environmental parameters of the expected charging time period; wherein, the historical charging data includes the historical actual charging completion time, the historical charging required electrical energy, historical environmental parameters, and historical charging power.

[0150] A processing subunit is used to determine the first historical charging power as the predicted charging power of the DC charging pile.

[0151] Optionally, the power determination unit 902 includes:

[0152] The second search subunit is used to search for the second historical charging power of the DC charging pile from the historical charging data of the DC charging pile based on the expected charging completion time and the target electrical energy; wherein, the historical charging data includes the historical actual charging completion time, the electrical energy required for historical charging, and the historical charging power.

[0153] The correction subunit is used to correct the second historical charging power based on environmental parameters during the expected charging period to obtain the predicted charging power of the DC charging pile.

[0154] Optionally, the modified sub-unit is specifically used for:

[0155] The predicted temperature of the DC charging pile is determined based on environmental parameters during the expected charging period.

[0156] Based on the predicted temperature of the DC charging pile, the second historical charging power is corrected to obtain the predicted charging power of the DC charging pile.

[0157] There is a negative correlation between the predicted charging power of the DC charging pile and the predicted temperature of the DC charging pile.

[0158] Optionally, the charging time determining device further includes:

[0159] A control unit is used to control the DC charging pile to start charging the vehicle at the charging start time;

[0160] The first acquisition unit is used to acquire the actual charging completion time of the vehicle after the vehicle has finished charging.

[0161] The second acquisition unit is used to acquire the actual charging power of the DC charging pile during the actual charging process of the vehicle.

[0162] The first storage unit is used to store the actual charging completion time, the target electrical energy, and the actual charging power of the DC charging pile into the historical charging data of the DC charging pile.

[0163] Optionally, the charging time determining device further includes:

[0164] The third acquisition unit is used to acquire environmental parameters for the actual charging time period based on the actual charging completion time of the vehicle.

[0165] The second storage unit is used to store the environmental parameters of the actual charging time period into the historical charging data of the DC charging pile.

[0166] The charging time determination device provided in this embodiment belongs to the same concept as the charging time determination method provided in the above embodiments of this application. It can execute the charging time determination method provided in any of the above embodiments of this application and has the corresponding functional modules and beneficial effects for executing the charging time determination method. Technical details not described in detail in this embodiment can be found in the specific processing content of the charging time determination method provided in the above embodiments of this application, and will not be repeated here.

[0167] The functions implemented by the above-mentioned power determination unit 901, power determination unit 902, duration determination unit 903 and time determination unit 904 can be implemented by the same or different processors, and this application embodiment does not limit them.

[0168] It should be understood that the units in the above device can be implemented by a processor calling software. For example, the device includes a processor connected to a memory containing instructions. The processor calls the instructions stored in the memory to implement any of the above methods or to implement the functions of each unit in the device. The processor can be a general-purpose processor, such as a CPU or microprocessor, and the memory can be internal or external to the device. Alternatively, the units in the device can be implemented as hardware circuits. By designing the hardware circuits, some or all of the unit functions can be implemented. The hardware circuits can be understood as one or more processors. For example, in one implementation, the hardware circuit is an ASIC, and the functions of some or all of the above units are implemented by designing the logical relationships between the components within the circuit. In another implementation, the hardware circuit can be implemented using a PLD, such as an FPGA, which can include a large number of logic gates. The connection relationships between the logic gates are configured through configuration files to implement the functions of some or all of the above units. All units in the above device can be implemented entirely by a processor calling software, entirely by hardware circuits, or partially by a processor calling software with the remaining parts implemented by hardware circuits.

[0169] In this application embodiment, a processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a CPU, microprocessor, GPU, or DSP. In another implementation, the processor can implement certain functions through the logical relationships of hardware circuits. These logical relationships are fixed or reconfigurable. For example, the processor may be a hardware circuit implemented as an ASIC or PLD, such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and configuring the hardware circuit can be understood as the processor loading instructions to implement the functions of some or all of the above units. Furthermore, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as an NPU, TPU, or DPU.

[0170] As can be seen, each unit in the above device can be one or more processors (or processing circuits) configured to implement the above methods, such as: CPU, GPU, NPU, TPU, DPU, microprocessor, DSP, ASIC, FPGA, or a combination of at least two of these processor forms.

[0171] Furthermore, the units in the above devices can be integrated in whole or in part, or they can be implemented independently. In one implementation, these units are integrated together and implemented in the form of a System-on-Chip (SoC). The SoC may include at least one processor for implementing any of the above methods or implementing the functions of the units in the device. The at least one processor may be of different types, such as CPU and FPGA, CPU and artificial intelligence processor, CPU and GPU, etc.

[0172] Exemplary electronic devices

[0173] One embodiment of this application discloses an electronic device, see [link to relevant documentation] Figure 10 As shown, the device includes:

[0174] Memory 200 and processor 210;

[0175] The memory 200 is connected to the processor 210 and is used to store programs;

[0176] The processor 210 is configured to implement the charging time determination method disclosed in any of the above embodiments by running the program stored in the memory 200.

[0177] Specifically, the aforementioned electronic device may also include: a bus, a communication interface 220, an input device 230, and an output device 240.

[0178] The processor 210, memory 200, communication interface 220, input device 230, and output device 240 are interconnected via a bus. Among them:

[0179] A bus can include a pathway for transmitting information between various components of a computer system.

[0180] The processor 210 can be a general-purpose processor, such as a general-purpose central processing unit (CPU), a microprocessor, etc., or an application-specific integrated circuit (ASIC), or one or more integrated circuits used to control the execution of the program of the present invention. It can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), an off-the-shelf programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0181] Processor 210 may include a main processor, as well as a baseband chip, modem, etc.

[0182] The memory 200 stores a program that executes the technical solution of this invention, and may also store an operating system and other key business functions. Specifically, the program may include program code, which includes computer operation instructions. More specifically, the memory 200 may include read-only memory (ROM), other types of static storage devices capable of storing static information and instructions, random access memory (RAM), other types of dynamic storage devices capable of storing information and instructions, disk storage, flash memory, etc.

[0183] Input device 230 may include a device for receiving user input data and information, such as a keyboard, mouse, camera, scanner, light pen, voice input device, touch screen, pedometer, or gravity sensor.

[0184] Output device 240 may include devices that allow information to be output to a user, such as a display screen, printer, speaker, etc.

[0185] The communication interface 220 may include a device that uses any transceiver to communicate with other devices or communication networks, such as Ethernet, Radio Access Network (RAN), Wireless Local Area Network (WLAN), etc.

[0186] The processor 210 executes the program stored in the memory 200 and calls other devices, which can be used to implement each step of any of the charging time determination methods provided in the above embodiments of this application.

[0187] In an exemplary embodiment, the electronic device may be a VCU.

[0188] In the exemplary embodiment, the electronic device may also be a DC charging station or a cloud server.

[0189] Exemplary vehicle

[0190] One embodiment of this application provides a vehicle that includes the electronic equipment provided in the above embodiments of this application.

[0191] For technical details not described in detail in this embodiment, please refer to the specific processing content of the electronic device provided in the above embodiments of this application, which will not be repeated here.

[0192] Exemplary computer program products and storage media

[0193] In addition to the methods and devices described above, embodiments of this application may also be computer program products, which include computer program instructions that, when executed by a processor, cause the processor to perform the steps in the charging time determination method according to various embodiments of this application as described in any of the above embodiments of this specification.

[0194] The computer program product can be written in any combination of one or more programming languages ​​to perform the operations of the embodiments of this application. The programming languages ​​include object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0195] Furthermore, embodiments of this application may also be storage media storing a computer program, which is executed by a processor through steps in the charging time determination method according to various embodiments of this application described above. Specifically, the following steps can be implemented:

[0196] Step 101: Based on the vehicle's current state of charge and target state of charge, determine the target electrical energy required to charge the vehicle to the target state of charge.

[0197] Step 102: Compare the current charging data with the historical charging data of the DC charging pile to obtain the predicted charging power of the DC charging pile.

[0198] Step 103: Based on the target electrical energy and the predicted charging power, determine the target time required for the vehicle to charge to the target state of charge.

[0199] Step 104: Determine the charging start time based on the expected charging completion time and target duration.

[0200] For the foregoing method embodiments, in order to simplify the description, they are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, because according to this application, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0201] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For apparatus embodiments, since they are basically similar to method embodiments, the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0202] The steps in the methods of the various embodiments of this application can be adjusted, merged, or deleted in order according to actual needs, and the technical features described in each embodiment can be replaced or combined.

[0203] The modules and sub-modules in the apparatus and terminal in the various embodiments of this application can be merged, divided, and deleted according to actual needs.

[0204] It should be understood that the disclosed terminals, devices, and methods can be implemented in other ways, given the several embodiments provided in this application. For example, the terminal embodiments described above are merely illustrative. For instance, the division of modules or sub-modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple sub-modules or modules may be combined or integrated into another module, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or modules, and may be electrical, mechanical, or other forms.

[0205] The modules or submodules described as separate components may or may not be physically separate. The components that constitute a module or submodule may or may not be physical modules or submodules; that is, they may be located in one place or distributed across multiple network modules or submodules. Some or all of the modules or submodules can be selected to achieve the purpose of this embodiment's solution, depending on actual needs.

[0206] Furthermore, the functional modules or sub-modules in the various embodiments of this application can be integrated into one processing module, or each module or sub-module can exist physically separately, or two or more modules or sub-modules can be integrated into one module. The integrated modules or sub-modules described above can be implemented in hardware or in the form of software functional modules or sub-modules.

[0207] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0208] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software unit executed by a processor, or a combination of both. The software unit can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0209] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0210] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for determining charging time, characterized in that, include: Based on the vehicle's current state of charge and target state of charge, determine the target electrical energy required to charge the vehicle to the target state of charge; By comparing the current charging data with the historical charging data of the DC charging pile, the predicted charging power of the DC charging pile is obtained. Based on the target electrical energy and the predicted charging power, the target duration required for the vehicle to charge to the target state of charge is determined; The charging start time is determined based on the expected charging completion time and the target duration.

2. The method for determining charging time according to claim 1, characterized in that, The current charging data includes at least one of the expected charging completion time, the target energy, and environmental parameters for the expected charging time period.

3. The method for determining charging time according to claim 2, characterized in that, The process of comparing current charging data with historical charging data of the DC charging pile to obtain the predicted charging power of the DC charging pile includes: Based on the expected charging completion time, the target electrical energy, and the environmental parameters of the expected charging time period, the first historical charging power of the DC charging pile is retrieved from the historical charging data of the DC charging pile; wherein, the historical charging data includes the historical actual charging completion time, the electrical energy required for historical charging, historical environmental parameters, and historical charging power. The first historical charging power is determined as the predicted charging power of the DC charging pile.

4. The method for determining charging time according to claim 2, characterized in that, The process of comparing current charging data with historical charging data of the DC charging pile to obtain the predicted charging power of the DC charging pile includes: Based on the expected charging completion time and the target electrical energy, the second historical charging power of the DC charging pile is retrieved from the historical charging data of the DC charging pile; wherein, the historical charging data includes the historical actual charging completion time, the electrical energy required for historical charging, and the historical charging power; Based on environmental parameters during the expected charging period, the second historical charging power is corrected to obtain the predicted charging power of the DC charging pile.

5. The method for determining charging time according to claim 4, characterized in that, The process of correcting the second historical charging power based on environmental parameters during the expected charging period to obtain the predicted charging power of the DC charging pile includes: The predicted temperature of the DC charging pile is determined based on environmental parameters during the expected charging period. Based on the predicted temperature of the DC charging pile, the second historical charging power is corrected to obtain the predicted charging power of the DC charging pile. There is a negative correlation between the predicted charging power of the DC charging pile and the predicted temperature of the DC charging pile.

6. The method for determining charging time according to claim 1, characterized in that, The method further includes: The DC charging pile is controlled to start charging the vehicle at the charging start time; After the vehicle has finished charging, obtain the actual time when the vehicle has finished charging. Obtain the actual charging power of the DC charging pile during the actual charging process of the vehicle; The actual charging completion time, the target electrical energy, and the actual charging power of the DC charging pile are stored in the historical charging data of the DC charging pile.

7. The method for determining charging time according to claim 6, characterized in that, The method further includes: Based on the actual charging completion time of the vehicle, obtain the environmental parameters for the actual charging time period. The environmental parameters of the actual charging time period are stored in the historical charging data of the DC charging pile.

8. A charging time determining device, characterized in that, include: An energy determination unit is used to determine the target energy required to charge the vehicle to the target state of charge based on the vehicle's current state of charge and the target state of charge. A power determination unit is used to compare the current charging data with the historical charging data of the DC charging pile to obtain the predicted charging power of the DC charging pile. The duration determination unit is used to determine the target duration required for the vehicle to be charged to the target state of charge based on the target electrical energy and the predicted charging power. The time determination unit is used to determine the charging start time based on the expected charging completion time and the target duration.

9. An electronic device, characterized in that, Including memory and processor; The memory is connected to the processor and is used to store programs; The processor is used to implement the charging time determination method as described in any one of claims 1 to 7 by running a program in the memory.

10. A vehicle, characterized in that, Including the electronic device as described in claim 9.

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