Charging control method and device in intelligent charging process

Abstract

The invention relates to a charging control method and device in an intelligent charging process, and belongs to the technical field of vehicle electrical safety, and the charging control method in the intelligent charging process comprises the steps: obtaining a first voltage, a second voltage, a real-time environment temperature, and a real-time temperature and a real-time SOC of a vehicle battery; determining a target voltage difference based on a difference value between the first voltage and the second voltage, and determining a voltage difference threshold based on the real-time environment temperature, the real-time temperature of the vehicle battery and the real-time SOC; under the condition that the target pressure difference is larger than the pressure difference threshold value, the target pressure difference is adjusted based on the pre-charging strategy until the target pressure difference is smaller than or equal to the pressure difference threshold value; and sending an enabling instruction to the DCDC converter under the condition that the target voltage difference is smaller than or equal to the voltage difference threshold value. According to the invention, the DCDC converter can be effectively prevented from being broken down in the intelligent charging process, and the safety of the intelligent charging process is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicle electrical safety, and in particular to a charging control method and device in an intelligent power compensation process. BACKGROUND

[0002] An intelligent power compensation strategy needs to perform small-current charging or periodically wake up to maintain the state of charge (SOC) of a battery when a vehicle is stationary (such as using valley electricity). At this time, the high-voltage system of the vehicle is usually in a dormant or low-power state.

[0003] During the intelligent power compensation start-up or wake-up process, the high-voltage battery pack needs to supply power to the low-voltage system or stabilize the low-voltage bus voltage through a DCDC converter. During this process, the DCDC converter has a significant risk of breakdown.

[0004] Conventional DCDC protection (such as overcurrent and overvoltage shutdown) is post-protection, which acts after the breakdown occurs and cannot prevent failure. Traditional pre-charging strategies are mainly aimed at the drive system (motor controller) and do not adequately consider the special wake-up timing and working conditions of the DCDC in the intelligent power compensation scenario. SUMMARY

[0005] Therefore, it is necessary to provide a charging control method and device in an intelligent power compensation process to solve the problem that the existing DCDC protection scheme cannot prevent DCDC failure.

[0006] To solve the above problems, in a first aspect, the present application provides a charging control method in an intelligent power compensation process, comprising: obtaining a first voltage, a second voltage, a real-time ambient temperature, a real-time temperature of a vehicle battery, and a real-time SOC, the first voltage being a real-time voltage of the vehicle battery, and the second voltage being a real-time voltage of a DCDC converter DC bus capacitor; determining a target voltage difference based on the difference between the first voltage and the second voltage, and determining a voltage difference threshold based on the real-time ambient temperature, the real-time temperature of the vehicle battery, and the real-time SOC; in a case where the target voltage difference is greater than the voltage difference threshold, adjusting the target voltage difference based on a pre-charging strategy until the target voltage difference is less than or equal to the voltage difference threshold; and in a case where the target voltage difference is less than or equal to the voltage difference threshold, sending an enable instruction to the DCDC converter, the enable instruction being used to instruct the DCDC converter to convert the electrical energy output by the vehicle battery in voltage.

[0007] In a possible implementation manner, the determination of the voltage difference threshold based on the real-time ambient temperature, the real-time temperature of the vehicle battery, and the real-time SOC comprises: The differential pressure threshold is determined based on real-time ambient temperature, real-time temperature and real-time SOC of the vehicle battery, health status of the DCDC converter and historical stress coefficient, the health status of the DCDC converter is determined based on operation data of the DCDC converter, and the historical stress coefficient is determined based on historical operation data of the DCDC converter.

[0008] In a possible implementation, the determining the differential pressure threshold based on the real-time ambient temperature, the real-time temperature and the real-time SOC of the vehicle battery, the health status of the DCDC converter and the historical stress coefficient comprises: The differential pressure threshold is determined by substituting the real-time ambient temperature, the real-time temperature and the real-time SOC of the vehicle battery, the health status of the DCDC converter and the historical stress coefficient into a differential pressure threshold estimation model, and the differential pressure threshold model is obtained by linear fitting of the artificially labeled historical differential pressure threshold based on historical ambient temperature, historical temperature and historical SOC of the vehicle battery, historical health status of the DCDC converter and historical stress coefficient.

[0009] In a possible implementation, the adjusting the target differential pressure based on the pre-charging strategy comprises: The target differential pressure is adjusted based on the target differential pressure and the differential pressure threshold by using a closed-loop control algorithm until the target differential pressure is less than or equal to the differential pressure threshold.

[0010] In a possible implementation, the method further comprises: After the enable instruction is sent to the DCDC converter, the output current of the DCDC converter is controlled to be less than or equal to a current threshold, or the output power of the DCDC converter is controlled to be less than or equal to a power threshold.

[0011] In a possible implementation, the method further comprises: The intelligent power compensation process is stopped when at least one of the following conditions is met: The pre-charging duration is greater than a preset duration, or the output current of the vehicle battery during the pre-charging process is greater than a preset current threshold; The rising rate of the second voltage is greater than a rate threshold; The inrush current of the DCDC converter after voltage conversion of the electric energy output to the vehicle battery is greater than a safety threshold; The DCDC converter fails.

[0012] In a possible implementation, the determining the target differential pressure based on the difference between the first voltage and the second voltage comprises: The absolute value of the difference between the first voltage and the second voltage is determined as the target differential pressure.

[0013] In another aspect, the present application also provides a charging control device in an intelligent power compensation process, comprising: An acquisition module is configured to acquire a first voltage, a second voltage, a real-time ambient temperature, a real-time temperature of a vehicle battery, and a real-time SOC, wherein the first voltage is a real-time voltage of the vehicle battery, and the second voltage is a real-time voltage of a DCDC converter DC bus capacitor; A determination module is configured to determine a target pressure difference based on a difference between the first voltage and the second voltage, and determine a pressure difference threshold based on the real-time ambient temperature, the real-time temperature of the vehicle battery, and the real-time SOC; A control module is configured to, in a case where the target pressure difference is greater than the pressure difference threshold, adjust the target pressure difference based on a pre-charging strategy until the target pressure difference is less than or equal to the pressure difference threshold; and in a case where the target pressure difference is less than or equal to the pressure difference threshold, send an enable instruction to the DCDC converter, wherein the enable instruction is used to instruct the DCDC converter to perform voltage conversion on electric energy output by the vehicle battery.

[0014] In a second aspect, the present application also provides a control device, comprising a memory and a processor, wherein, The memory is configured to store a program; The processor is coupled to the memory and is configured to execute the program stored in the memory to implement the steps of the charging control method in the intelligent power compensation process according to any of the implementation manners described above.

[0015] In a third aspect, the present application also provides a computer-readable storage medium for storing computer-readable programs or instructions, wherein the programs or instructions are executed by a processor to implement the steps of the charging control method in the intelligent power compensation process according to any of the implementation manners described above.

[0016] The present application has the following beneficial effects: the charging control method and device in the intelligent power compensation process provided by the present application determine a pressure difference threshold based on a battery temperature, a battery SOC, and an ambient temperature, rather than setting a fixed pressure difference threshold, and setting the pressure difference threshold according to actual conditions can further improve the safety of the intelligent power compensation process and avoid the DCDC converter from being broken down, then when receiving an intelligent power compensation wake-up instruction or an intelligent power compensation start charging instruction, a specific charging strategy is determined based on a pressure difference between a voltage of a DCDC converter DC bus capacitor and a battery voltage and the pressure difference threshold, rather than directly starting intelligent power compensation, which further avoids the risk of the DCDC converter being broken down, and the present application can effectively prevent the DCDC converter from being broken down in the intelligent power compensation process and improve the safety of the intelligent power compensation process. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 An embodiment flowchart of the charging control method in the intelligent power compensation process provided by the present application is shown in the figure; Figure 2 Flow chart of one embodiment of the pre-charge control process provided by the present application; Figure 3 Structure diagram of one embodiment of the charging control device in the intelligent power compensation process provided by the present application; Figure 4 Structure diagram of one embodiment of the control device provided by the present application. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present application will be clearly and completely described in connection with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person skilled in the art without creative work fall within the protection scope of the present application.

[0019] In the description of the embodiments of the present application, unless otherwise specified, the meaning of “a plurality of” is two or more. The association relationship of the associated objects is described by “and / or”, which means that there can be three relationships, for example: A and / or B, which can represent the three cases of A alone, A and B together, and B alone.

[0020] The “first”, “second” and the like described in the embodiments of the present application are only for the purpose of description, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the technical features limited by “first” and “second” can explicitly or implicitly include at least one of the features.

[0021] In this document, the reference to “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily mutually exclusive of other embodiments. It is explicitly and implicitly understood that the embodiments described herein can be combined.

[0022] The intelligent power compensation strategy needs to charge a small current or periodically wake up to maintain the battery SOC when the vehicle is stationary (such as using valley electricity). At this time, the high-voltage system of the vehicle is usually in a dormant or low-power state.

[0023] DCDC breakdown risk: In the intelligent power compensation start or wake-up process, the high-voltage battery pack needs to supply power or stabilize the low-voltage bus voltage through the DCDC converter for the low-voltage system (12V / 24V). This process has significant risks: Precharge failure risk: If there is a large voltage difference between the DC bus capacitor voltage and the battery voltage at the moment the high-voltage contactor at the DC-DC input closes, a huge surge current will flow into the capacitor. Traditional precharge circuits may fail to function due to strategy mismatch or malfunction, and this current will far exceed the withstand capability of the DC-DC power devices, causing the electronic components in the DC-DC to break down.

[0024] Extreme operating condition sensitivity: In low temperature environments, the characteristics of power devices deteriorate (such as increased on-resistance and decreased withstand voltage), the equivalent series resistance of capacitors increases, and breakdown is more likely to occur; high SOC batteries have higher voltages and may have greater voltage drops.

[0025] Control timing conflict: The wake-up logic of intelligent charging (triggered by the battery management system or domain controller) may not be properly coordinated with the control timing of DC-DC and high-voltage contactors, resulting in forced power-on under adverse conditions (such as excessive voltage difference).

[0026] Latent faults: Frequent wake-ups due to repeated low-current replenishment accumulate electrical stress on power devices, accelerating aging and increasing the probability of accidental breakdown.

[0027] Conventional DC-DC protection (such as overcurrent and overvoltage shutdown) is reactive protection, only activating after breakdown occurs, and cannot prevent failure. Traditional pre-charge strategies mainly target the drive system (motor controller) and do not adequately consider the special wake-up timing and operating conditions of DC-DC in intelligent charging scenarios.

[0028] To address the above problems, this invention proposes a solution that can effectively prevent DC-DC breakdown during intelligent power replenishment.

[0029] This invention provides a charging control method and device for intelligent power replenishment, which will be described below.

[0030] Figure 1 A schematic flowchart of an embodiment of the charging control method in the intelligent power replenishment process provided by the present invention is shown below. Figure 1 As shown, the charging control method during the intelligent charging process includes: S101. Obtain the first voltage, the second voltage, the real-time ambient temperature, the real-time temperature of the vehicle battery, and the real-time SOC. The first voltage is the real-time voltage of the vehicle battery, and the second voltage is the real-time voltage of the DC bus capacitor of the DC-DC converter.

[0031] It should be noted that this invention can be applied to circuit protection scenarios in vehicle electrical systems, especially DC-DC breakdown protection scenarios during intelligent vehicle power replenishment.

[0032] During the charging control process of intelligent charging, the control equipment (such as the vehicle computer, vehicle control chip, etc.) can first obtain data such as the real-time voltage of the vehicle battery, the real-time voltage of the DC bus capacitor of the DC-DC converter, the real-time ambient temperature, the real-time temperature of the vehicle battery, and the real-time SOC, so as to provide data basis for determining the subsequent charging strategy.

[0033] S102. Determine the target differential pressure based on the difference between the first voltage and the second voltage, and determine the differential pressure threshold based on the real-time ambient temperature, the real-time temperature of the vehicle battery, and the real-time SOC.

[0034] It should be noted that after obtaining the above data, the control device can first determine the target voltage difference based on the difference between the first voltage and the second voltage, and then determine the voltage difference threshold based on the real-time ambient temperature, the real-time temperature of the vehicle battery and the real-time SOC. This voltage difference threshold can be used to reflect the safe voltage difference between the voltage of the DC bus capacitor of the DC-DC converter and the battery voltage.

[0035] S103. When the target differential pressure is greater than the differential pressure threshold, adjust the target differential pressure based on the pre-charging strategy until the target differential pressure is less than or equal to the differential pressure threshold; when the target differential pressure is less than or equal to the differential pressure threshold, send an enable command to the DC-DC converter. The enable command is used to instruct the DC-DC converter to perform voltage conversion on the electrical energy output by the vehicle battery.

[0036] It should be noted that when receiving a smart charging wake-up command or a smart charging start command, the control device can determine the charging strategy during the smart charging process based on the target voltage difference and the voltage difference threshold, rather than directly initiating smart charging. This effectively avoids the risk of DC-DC converter breakdown. If the target voltage difference is greater than the voltage difference threshold, a pre-charging strategy can be used to adjust the target voltage difference until it is less than or equal to the voltage difference threshold. If the target voltage difference is less than or equal to the voltage difference threshold, an enable command can be sent to the DC-DC converter, instructing it to perform voltage conversion on the electrical energy output from the vehicle battery. Adjusting the target voltage difference through a pre-charging strategy when it is greater than the voltage difference threshold can effectively reduce the target voltage difference and prevent the DC-DC converter from being broken down during smart charging.

[0037] In summary, the charging control method for intelligent charging provided in this invention determines the differential voltage threshold based on battery temperature, battery SOC, and ambient temperature, rather than setting a fixed differential voltage threshold. Setting the differential voltage threshold according to actual conditions can further improve the safety of intelligent charging and prevent the DC-DC converter from being damaged. Then, upon receiving an intelligent charging wake-up command or an intelligent charging start command, the specific charging strategy is determined by the voltage difference between the DC bus capacitor of the DC-DC converter and the battery voltage and the differential voltage threshold, instead of directly starting intelligent charging, further avoiding the risk of DC-DC converter breakdown. This invention can effectively prevent the DC-DC converter from being damaged during intelligent charging and improve the safety of the intelligent charging process.

[0038] In some embodiments of the present invention, determining the differential pressure threshold based on real-time ambient temperature, real-time temperature of the vehicle battery, and real-time SOC includes: The differential pressure threshold is determined based on real-time ambient temperature, real-time temperature and real-time SOC of the vehicle battery, health status of the DC-DC converter, and historical stress coefficient. The health status of the DC-DC converter is determined based on the operating data of the DC-DC converter, and the historical stress coefficient is determined based on the historical operating data of the DC-DC converter.

[0039] It should be noted that when determining the differential pressure threshold based on real-time ambient temperature, vehicle battery temperature, and SOC, a more accurate threshold can be determined by combining the health status of the DC-DC converter and historical stress coefficients. This ensures the accuracy of the differential pressure threshold and improves the safety of the intelligent charging process. The health status of the DC-DC converter can be determined from its operating data, and the historical stress coefficients can be determined from its historical operating data.

[0040] In some embodiments of the present invention, determining the differential pressure threshold based on real-time ambient temperature, real-time temperature and real-time SOC of the vehicle battery, health status of the DC-DC converter, and historical stress coefficient includes: The real-time ambient temperature, real-time temperature and SOC of the vehicle battery, health status and historical stress coefficient of the DC-DC converter are substituted into the differential pressure threshold estimation model to determine the differential pressure threshold. The differential pressure threshold model is obtained by linearly fitting the manually labeled historical differential pressure threshold based on the historical ambient temperature, historical temperature and SOC of the vehicle battery, historical health status and historical stress coefficient of the DC-DC converter.

[0041] It should be noted that when determining the differential pressure threshold based on real-time ambient temperature, vehicle battery temperature and SOC, DC-DC converter health status, and historical stress coefficients, these parameters can be substituted into the differential pressure threshold estimation model to determine the threshold. The differential pressure threshold estimation model can be obtained by linearly fitting manually labeled historical differential pressure thresholds using historical ambient temperature, historical vehicle battery temperature and SOC, and historical DC-DC converter health status and stress coefficients. Constructing the differential pressure threshold estimation model using historical data can further improve the accuracy of differential pressure threshold estimation, thereby enhancing the safety of the intelligent charging process.

[0042] In some embodiments of the present invention, adjusting the target voltage difference based on the pre-charging strategy until the target voltage difference is less than or equal to the voltage difference threshold includes: Based on the target pressure difference and the pressure difference threshold, a closed-loop control algorithm is used to adjust the target pressure difference until the target pressure difference is less than or equal to the pressure difference threshold.

[0043] It should be noted that when adjusting the target differential pressure according to the pre-charging strategy until the target differential pressure is less than or equal to the differential pressure threshold, the target differential pressure and the differential pressure threshold can be monitored in real time. Then, the target differential pressure can be adjusted through a closed-loop control algorithm (such as a PID algorithm) until the target differential pressure is less than or equal to the differential pressure threshold.

[0044] In some embodiments of the present invention, the method further includes: After sending an enable command to the DC-DC converter, control the output current of the DC-DC converter to be less than or equal to the current threshold, or control the output power of the DC-DC converter to be less than or equal to the power threshold.

[0045] It should be noted that after sending an enable command to the DC-DC converter, the output current of the DC-DC converter can be controlled to be less than or equal to the current threshold, or the output power of the DC-DC converter can be controlled to be less than or equal to the power threshold, so as to avoid secondary impact on the low-voltage system.

[0046] In some embodiments of the present invention, the method further includes: The intelligent power replenishment process will be stopped if at least one of the following conditions is met: The pre-charging time is longer than the preset time or the output current of the vehicle battery during the pre-charging process is greater than the preset current threshold. The rate of rise of the second voltage is greater than the rate threshold. The surge current of the DC-DC converter after converting the electrical energy output from the vehicle battery into voltage exceeds the safety threshold. The DC-DC converter malfunctioned.

[0047] It should be noted that during the intelligent power replenishment process, if at least one of the above situations occurs, the intelligent power replenishment process can be stopped immediately, further improving the safety of the intelligent power replenishment process.

[0048] In some embodiments of the present invention, determining the target voltage difference based on the difference between the first voltage and the second voltage includes: The absolute value of the difference between the first voltage and the second voltage is determined as the target voltage difference.

[0049] It should be noted that when determining the target pressure difference, the absolute value of the difference between the first voltage and the second voltage can be used to determine the target pressure difference.

[0050] The following is a specific embodiment illustrating the charging control process in the intelligent power replenishment process provided by the present invention. The charging control process specifically includes the following steps: 1. Intelligent power replenishment triggering and status monitoring.

[0051] Receive wake-up or start charging commands from the intelligent power replenishment strategy controller.

[0052] Real-time monitoring of key parameters: high-voltage battery voltage (Vbat), DC bus capacitor voltage of DC-DC converter (Vcap), current battery temperature (T_bat) or ambient temperature (T_env), battery state of charge (SOC), DC-DC converter status (sleep / standby / fault), and status of high-voltage main contactor (MContactor) and precharge contactor (PContactor).

[0053] 2. Safety condition assessment and ΔV control.

[0054] Calculate the critical voltage difference: ΔV = |Vbat - Vcap|. Dynamically set the safe voltage difference threshold (ΔV_safe) based on the current temperature (T_bat or T_env) and SOC: the lower the temperature, the smaller ΔV_safe (considering the decrease in device withstand voltage / current capacity at low temperatures). The higher the SOC (the higher Vbat), the smaller ΔV_safe (reducing the risk of high-voltage surges). Furthermore, ΔV_safe can be further adjusted by combining historical DC-DC operating data or health status. Determine if ΔV > ΔV_safe: If ΔV ≤ ΔV_safe: jump to step 4 (allowing direct closure of the main contactor). If ΔV > ΔV_safe: proceed to step 3 (perform pre-charging or active discharge).

[0055] Combination Figure 2 Let's look at ΔV_safe = f(T, SOC, SOH_DCDC, Hstress).

[0056] Where T is temperature, SOC is battery state of charge, SOH_DCDC is DC-DC health (0-100%), and Hstress is historical stress coefficient.

[0057] 3. Active ΔV elimination strategy.

[0058] The precharge contactor (PContactor) is closed, connecting the battery positive terminal to the DC-DC bus capacitor via the precharge resistor (R_pre). The Vcap rise rate and ΔV are monitored in real time. A closed-loop control algorithm, such as PID, is used to dynamically adjust the precharge time or precharge current limit based on ΔV and ΔV_safe, ensuring Vcap rises smoothly until ΔV ≤ ΔV_safe. Once the safety condition is met, the precharge contactor PContactor is opened, and the high-voltage main contactor MContactor is closed.

[0059] 4. Safe power-on and DC-DC soft start.

[0060] After confirming ΔV ≤ ΔV_safe, close the main contactor (MContactor). Send an enable command to the DC-DC converter and request it to execute the soft-start procedure: initially, limit the output power / current. The output voltage / current rises at a set slope to avoid secondary impact on the low-voltage battery and load. Monitor the DC-DC input current, voltage, and temperature in real time to ensure they are within safe ranges.

[0061] 5. Fault diagnosis and safety rollback.

[0062] If the following abnormality is detected during step 3 or step 4: 1) The pre-charging time is too long or the current is abnormal.

[0063] 2) Vcap rise rate mismatch.

[0064] 3) Discharge failed.

[0065] 4) The surge current exceeds the safety threshold after closing the MContactor.

[0066] 5) DC-DC feedback fault (overcurrent, overvoltage, overheating).

[0067] Then execute immediately: 1) Emergency disconnect all high-voltage contactors (MContactor and PContactor).

[0068] 2) Report fault information to the power management system and vehicle controller, and record fault codes (such as "DC-CDC precharge failure" or "surge exceeding the limit").

[0069] 3) Abort this intelligent power replenishment process.

[0070] 4) Depending on the fault level, limit the number of subsequent wake-ups or enter safe mode.

[0071] This invention is specifically designed to address the DCDC breakdown risk in the specific scenario of intelligent charging (non-driving charging), taking into account characteristics such as static wake-up, low current, frequent operation, and extreme environments. By dynamically adjusting the safety threshold using temperature and SOC as key variables, it overcomes the limitations of traditional fixed thresholds. Ensuring "ΔV ≤ ΔV_safe" is a mandatory prerequisite for the high-voltage main contactor closure, achieving intrinsic safety. Combining pre-charging and active discharge strategies provides redundancy protection. Optimizing the pre-charging and DCDC startup processes establishes multiple layers of safety defense.

[0072] To better implement the charging control method in the intelligent charging process of the present invention embodiments, based on the charging control method in the intelligent charging process, correspondingly, as follows: Figure 3 As shown, this embodiment of the invention also provides a charging control device during intelligent charging, the charging control device 300 during intelligent charging includes: The acquisition module 301 is used to acquire a first voltage, a second voltage, a real-time ambient temperature, a real-time temperature of the vehicle battery, and a real-time SOC. The first voltage is the real-time voltage of the vehicle battery, and the second voltage is the real-time voltage of the DC bus capacitor of the DC-DC converter. The determination module 302 is used to determine the target voltage difference based on the difference between the first voltage and the second voltage, and to determine the voltage difference threshold based on the real-time ambient temperature, the real-time temperature of the vehicle battery and the real-time SOC. The control module 303 is used to adjust the target voltage difference according to the pre-charging strategy until the target voltage difference is less than or equal to the voltage difference threshold when the target voltage difference is greater than the voltage difference threshold; when the target voltage difference is less than or equal to the voltage difference threshold, it sends an enable command to the DC-DC converter, which is used to instruct the DC-DC converter to perform voltage conversion on the electrical energy output by the vehicle battery.

[0073] The charging control device 300 in the intelligent charging process provided in the above embodiments can realize the technical solutions described in the above embodiments of the charging control method in the intelligent charging process. The specific implementation principles of each module or unit can be found in the corresponding content in the above embodiments of the charging control method in the intelligent charging process, which will not be repeated here.

[0074] like Figure 4 As shown, the present invention also provides a control device 400. The control device 400 includes a processor 401, a memory 402, and a display 403. Figure 4 Only some components of the control device 400 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0075] In some embodiments, processor 401 may be a central processing unit (CPU), microprocessor, or other data processing chip, used to run program code stored in memory 402 or process data, such as the charging control method in the intelligent charging process of the present invention.

[0076] In some embodiments, processor 401 may be a single server or a group of servers. The server group may be centralized or distributed. In some embodiments, processor 401 may be local or remote. In some embodiments, processor 401 may be implemented on a cloud platform. In one embodiment, the cloud platform may include a private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, internal cloud, multi-cloud, etc., or any combination thereof.

[0077] In some embodiments, memory 402 may be an internal storage unit of control device 400, such as a hard disk or memory of control device 400. In other embodiments, memory 402 may also be an external storage device of control device 400, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., provided on control device 400.

[0078] Furthermore, the memory 402 may include both internal storage units of the control device 400 and external storage devices. The memory 402 is used to store application software and various types of data installed on the control device 400.

[0079] In some embodiments, display 403 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an organic light-emitting diode (OLED) touchscreen. Display 403 is used to display information from control device 400 and to display a visual user interface. Components 401-403 of control device 400 communicate with each other via a system bus.

[0080] In one embodiment, when the processor 401 executes the charging control program in the intelligent power replenishment process stored in the memory 402, the following steps can be implemented: The system acquires a first voltage, a second voltage, real-time ambient temperature, real-time temperature of the vehicle battery, and real-time SOC. The first voltage is the real-time voltage of the vehicle battery, and the second voltage is the real-time voltage of the DC bus capacitor of the DC-DC converter. The target differential pressure is determined based on the difference between the first voltage and the second voltage, and the differential pressure threshold is determined based on the real-time ambient temperature, the real-time temperature of the vehicle battery, and the real-time SOC. If the target differential pressure is greater than the differential pressure threshold, the target differential pressure is adjusted based on the pre-charging strategy until the target differential pressure is less than or equal to the differential pressure threshold; if the target differential pressure is less than or equal to the differential pressure threshold, an enable command is sent to the DC-DC converter, which is used to instruct the DC-DC converter to perform voltage conversion on the electrical energy output from the vehicle battery.

[0081] It should be understood that when the processor 401 executes the charging control program in the intelligent power replenishment process in the memory 402, in addition to the functions mentioned above, it can also implement other functions, as can be found in the description of the corresponding method embodiments above.

[0082] Furthermore, this embodiment of the invention does not specifically limit the type of control device 400 mentioned. Control device 400 can be a mobile phone, tablet computer, personal digital assistant (PDA), wearable device, laptop computer, or other portable electronic device. Exemplary embodiments of portable electronic devices include, but are not limited to, portable electronic devices running iOS, Android, Microsoft, or other operating systems. The aforementioned portable electronic devices can also be other portable electronic devices, such as laptop computers with touch-sensitive surfaces (e.g., touch panels). It should also be understood that in some other embodiments of the invention, control device 400 may not be a portable electronic device, but rather a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0083] Accordingly, this application also provides a computer-readable storage medium for storing computer-readable programs or instructions. When the programs or instructions are executed by a processor, they can implement the steps or functions of the charging control method in the intelligent charging process provided in the above-described method embodiments.

[0084] Those skilled in the art will understand that all or part of the processes of the methods described in the above embodiments can be implemented by a computer program instructing related hardware (such as a processor, controller, etc.), and the computer program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a disk, optical disk, read-only memory, or random access memory, etc.

[0085] The charging control in the intelligent power replenishment process provided by the present invention has been described in detail above. Specific examples have been used to illustrate the principle and implementation of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation and application scope based on the idea of ​​the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A charging control method during intelligent power replenishment, characterized in that, include: The system acquires a first voltage, a second voltage, real-time ambient temperature, real-time temperature of the vehicle battery, and real-time SOC. The first voltage is the real-time voltage of the vehicle battery, and the second voltage is the real-time voltage of the DC bus capacitor of the DC-DC converter. The target differential pressure is determined based on the difference between the first voltage and the second voltage, and the differential pressure threshold is determined based on the real-time ambient temperature, the real-time temperature of the vehicle battery, and the real-time SOC. If the target differential pressure is greater than the differential pressure threshold, the target differential pressure is adjusted based on the pre-charging strategy until the target differential pressure is less than or equal to the differential pressure threshold; if the target differential pressure is less than or equal to the differential pressure threshold, an enable command is sent to the DC-DC converter, which is used to instruct the DC-DC converter to perform voltage conversion on the electrical energy output from the vehicle battery.

2. The charging control method in the intelligent power replenishment process according to claim 1, characterized in that, The method of determining the differential pressure threshold based on real-time ambient temperature, real-time vehicle battery temperature, and real-time SOC includes: The differential pressure threshold is determined based on real-time ambient temperature, real-time temperature and real-time SOC of the vehicle battery, health status of the DC-DC converter, and historical stress coefficient. The health status of the DC-DC converter is determined based on the operating data of the DC-DC converter, and the historical stress coefficient is determined based on the historical operating data of the DC-DC converter.

3. The charging control method in the intelligent power replenishment process according to claim 2, characterized in that, The method for determining the differential pressure threshold based on real-time ambient temperature, real-time temperature and real-time SOC of the vehicle battery, health status of the DC-DC converter, and historical stress coefficient includes: The real-time ambient temperature, real-time temperature and SOC of the vehicle battery, health status and historical stress coefficient of the DC-DC converter are substituted into the differential pressure threshold estimation model to determine the differential pressure threshold. The differential pressure threshold model is obtained by linearly fitting the manually labeled historical differential pressure threshold based on the historical ambient temperature, historical temperature and SOC of the vehicle battery, historical health status and historical stress coefficient of the DC-DC converter.

4. The charging control method in the intelligent power replenishment process according to claim 1, characterized in that, The step of adjusting the target differential pressure based on the pre-charging strategy until the target differential pressure is less than or equal to the differential pressure threshold includes: Based on the target pressure difference and the pressure difference threshold, a closed-loop control algorithm is used to adjust the target pressure difference until the target pressure difference is less than or equal to the pressure difference threshold.

5. The charging control method in the intelligent power replenishment process according to claim 1, characterized in that, The method further includes: After sending an enable command to the DC-DC converter, control the output current of the DC-DC converter to be less than or equal to the current threshold, or control the output power of the DC-DC converter to be less than or equal to the power threshold.

6. The charging control method in the intelligent power replenishment process according to claim 1, characterized in that, The method further includes: The intelligent power replenishment process will be stopped if at least one of the following conditions is met: The pre-charging time is longer than the preset time or the output current of the vehicle battery during the pre-charging process is greater than the preset current threshold. The rate of rise of the second voltage is greater than the rate threshold. The surge current of the DC-DC converter after converting the electrical energy output from the vehicle battery into voltage exceeds the safety threshold. The DC-DC converter malfunctioned.

7. The charging control method in the intelligent power replenishment process according to claim 1, characterized in that, Determining the target voltage difference based on the difference between the first voltage and the second voltage includes: The absolute value of the difference between the first voltage and the second voltage is determined as the target voltage difference.

8. A charging control device for intelligent power replenishment, characterized in that, include: The acquisition module is used to acquire a first voltage, a second voltage, a real-time ambient temperature, a real-time temperature of the vehicle battery, and a real-time SOC. The first voltage is the real-time voltage of the vehicle battery, and the second voltage is the real-time voltage of the DC bus capacitor of the DC-DC converter. The determination module is used to determine the target differential pressure based on the difference between the first voltage and the second voltage, and to determine the differential pressure threshold based on the real-time ambient temperature, the real-time temperature of the vehicle battery and the real-time SOC. The control module is used to adjust the target differential pressure according to the pre-charging strategy until the target differential pressure is less than or equal to the differential pressure threshold when the target differential pressure is greater than the differential pressure threshold; when the target differential pressure is less than or equal to the differential pressure threshold, it sends an enable command to the DC-DC converter, which is used to instruct the DC-DC converter to perform voltage conversion on the electrical energy output by the vehicle battery.

9. A control device, characterized in that, Including memory and processor, among which, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the charging control method during the intelligent power replenishment process as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps in the charging control method during the intelligent power replenishment process as described in any one of claims 1 to 7.

Images