Voltage output control method and related equipment

Abstract

The invention relates to the technical field of voltage control, and provides a voltage output control method, which comprises the following steps: acquiring the battery type, capacity and residual electric quantity of a new energy electric vehicle; analyzing the type of the battery to obtain voltage and current requirements and a charging curve; mapping the battery capacity to obtain an optimal charging voltage; calculating the residual electric quantity, obtaining and adjusting a real-time charging current, obtaining a charging parameter and an initial charging strategy, serializing the charging parameter, obtaining and processing a serialized charging scheme, obtaining a charging instruction set and a charging stage, adjusting the initial charging strategy, and obtaining a charging result; a charging process is obtained, and a charging stage is intelligently controlled to obtain a receiving voltage; and controlling electric energy output of the charging pile according to the received voltage. According to the scheme, the problems that the charging pile cannot flexibly adapt to charging of electric vehicles with different voltage requirements, the charging efficiency is low, and even charging cannot be achieved due to the fact that the charging pile lacks self-adaptive output voltage adjustment are solved.

Description

Technical Field

[0001] The present application relates to the technical field of voltage control, and in particular to a voltage output control method and related equipment. Background Art

[0002] With the rapid development of the new energy electric vehicle market, the demand for electric vehicle charging has also increased. Different brands and models of electric vehicles have different requirements for charging voltage. Some high-end electric vehicles have gradually developed towards 800V high-voltage platforms, while most electric vehicles on the market are still adapted to voltages below 500V. In order to meet the charging needs of different electric vehicles, the power output control technology of charging piles has become increasingly important.

[0003] In the related technical means, the voltage output control technology usually adopts a fixed output voltage method, or performs voltage conversion through a simple transformer and rectifier circuit. These methods can achieve basic voltage output control and meet the charging needs of some electric vehicles. For example, by fixing the output voltage of 500V or 800V, the charging needs of low-voltage electric vehicles and high-voltage electric vehicles can be met respectively.

[0004] Regarding the above technical solution, although charging at a specific voltage can be achieved by fixing the output voltage, in the process of charging new energy electric vehicles with charging piles, due to the different types and brands of new energy electric vehicles, the adapted voltages are also different. Some are adapted to voltages below 500V, while others are adapted to voltages above 500V. Traditional charging piles have a fixed output voltage and lack the ability to adaptively adjust the output voltage. As a result, when charging electric vehicles with different voltage requirements, the charging piles cannot flexibly adapt, resulting in low charging efficiency or even failure to charge. Summary of the invention

[0005] In order to improve the problem that the charging pile lacks adaptive output voltage regulation, resulting in the charging pile being unable to flexibly adapt when charging electric vehicles with different voltage requirements, resulting in low charging efficiency or even failure to charge, the present application provides a voltage output control method and related equipment.

[0006] The present invention provides a voltage output control method, comprising obtaining a battery type, a battery capacity and a remaining power of a new energy electric vehicle; performing data analysis on the battery type to obtain a voltage requirement, a current requirement and a charging curve; performing data mapping on the battery capacity based on the voltage requirement to obtain an optimal charging voltage; performing data calculation on the remaining power based on the current requirement to obtain a real-time charging current; adjusting the real-time charging current using the optimal charging voltage to obtain charging parameters and an initial charging strategy, and performing data serialization on the charging parameters using the charging curve to obtain a serialized charging scheme; performing data processing on the serialized charging scheme to obtain a charging instruction set and a charging stage, adjusting the initial charging strategy using the charging instruction set to obtain a charging process, and performing intelligent control on the charging stage using the charging process to obtain a received voltage; and controlling the power output of a charging pile according to the received voltage.

[0007] As a preferred solution, the step of obtaining the battery type, battery capacity and remaining power of the new energy electric vehicle includes: obtaining battery characteristic data from the battery management system of the new energy electric vehicle using an on-board communication interface preset in the charging pile; performing pattern recognition on the battery characteristic data through a pattern recognition algorithm to obtain battery composition data and battery model data; performing component analysis on the battery composition data to obtain the battery type, and performing capacity estimation on the battery model data to obtain the battery capacity; and evaluating the instantaneous state of the battery using an electrochemical impedance spectroscopy to obtain the current remaining power of the battery.

[0008] As a preferred embodiment, the step of performing data analysis on the battery type to obtain voltage requirements, current requirements and a charging curve includes: analyzing the battery type through a decision tree algorithm to obtain a battery voltage range, fitting the battery voltage range through a data fitting algorithm to obtain voltage requirements and current requirements; and modeling the voltage requirements and the current requirements using a preset multivariate regression model to obtain a charging curve.

[0009] As a preferred solution, the steps of performing data mapping on the battery capacity based on the voltage requirement to obtain the optimal charging voltage; performing data calculation on the remaining power based on the current requirement to obtain the real-time charging current include: classifying the voltage requirement through a decision tree to obtain a voltage category and a voltage value; matching the voltage category with the battery capacity through a voltage mapping algorithm to obtain a battery capacity matching parameter and a voltage category parameter; performing capacity mapping on the battery capacity matching parameter to obtain a first capacity mapping value, a second capacity mapping value and a third capacity mapping value, performing voltage matching on the voltage category parameter based on the first capacity mapping value to obtain to a first voltage matching value, adjusting the first voltage matching value to obtain a first voltage adjustment value and a second voltage adjustment value; adjusting the second capacity mapping value according to the first voltage adjustment value to obtain a first capacity adjustment value, and matching the third capacity mapping value with the first capacity adjustment value according to the second voltage adjustment value to obtain an optimal charging voltage; current mapping the voltage value to obtain a first current mapping value and a second current mapping value, and calculating the remaining power by using the first current mapping value to obtain a power calculation value; and current matching the power calculation value and the second current mapping value to obtain a real-time charging current.

[0010] As a preferred solution, the step of adjusting the real-time charging current by using the optimal charging voltage to obtain charging parameters and an initial charging strategy, and serializing the charging parameters by using the charging curve to obtain a serialized charging scheme includes: adjusting the optimal charging voltage based on an adjustment algorithm to obtain a first voltage adjustment parameter and a second voltage adjustment parameter; performing current calculation on the first voltage adjustment parameter by using a current adjustment algorithm to obtain a first current calculation parameter and a second current calculation parameter, and performing current matching on the first current calculation parameter by using the second voltage adjustment parameter to obtain a matching current parameter; performing current fusion calculation on the matching current parameter and the second current calculation parameter to obtain a fused current parameter, serializing the fused current parameter by using a charging parameter serialization algorithm to obtain a first serialized current parameter and a second serialized current parameter, and performing voltage matching on the first serialized current parameter and the voltage adjustment parameter to obtain a charging parameter; performing charging strategy calculation on the second serialized current parameter and the current calculation parameter to obtain an initial charging strategy; performing curve fitting on the charging curve by using a charging curve fitting algorithm to obtain a fitting curve parameter, and performing data serialization on the charging parameters by using the fitting curve parameter to obtain a serialized charging scheme.

[0011] As a preferred solution, the step of performing data processing on the serialized charging scheme to obtain a charging instruction set and a charging stage, adjusting the initial charging strategy using the charging instruction set to obtain a charging process, and intelligently controlling the charging stage using the charging process to obtain a receiving voltage includes: performing data processing on the serialized charging scheme using a data mining algorithm to obtain a first data mining result, a second data mining result, and a third data mining result; performing charging stage analysis on the first data mining result using a charging stage analysis algorithm to obtain a first charging stage and a second charging stage, and performing charging stage calculation on the first charging stage and the second data mining result using a charging instruction generation algorithm to obtain a charging stage; performing charging instruction optimization on the second charging stage and the third data mining result according to a charging instruction optimization algorithm to obtain a charging instruction set, and adjusting the initial charging strategy using the charging instruction set to obtain a charging process; performing process optimization on the charging process based on a charging process control algorithm to obtain a first optimized process and a second optimized process, refining the first optimized process to obtain a refined process, and intelligently controlling the charging stage using the refined process and the second optimized process to obtain a receiving voltage.

[0012] As a preferred embodiment, the step of controlling the power output of the charging pile according to the received voltage includes: using a voltage recognition algorithm to identify the voltage size of the received voltage, and controlling the output control circuit of the charging pile to output power according to the voltage size.

[0013] As a preferred embodiment, the control circuit includes a first branch circuit, a second branch circuit, a series-parallel switching circuit, an anti-backflow circuit and an output filter circuit; the first branch circuit and the second branch circuit are connected to the series-parallel switching circuit; wherein the series-parallel switching circuit is used to control the first branch circuit and the second branch circuit to output in series, or to control the first branch circuit and the second branch circuit to output in parallel; the input end of the anti-backflow circuit is connected to the series-parallel switching circuit, and the output end of the anti-backflow circuit is connected to the output filter circuit; wherein the output filter circuit is used to connect to a charging object; when the voltage is greater than a preset voltage threshold, the series-parallel switching circuit is used to control the first branch circuit and the second branch circuit to output in series; when the voltage is less than a preset voltage threshold, the series-parallel switching circuit is used to control the first branch circuit and the second branch circuit to output in parallel.

[0014] The present application also provides a voltage output control device, including: an acquisition module, used to obtain the battery type, battery capacity and remaining power of the new energy electric vehicle; an analysis module, used to perform data analysis on the battery type to obtain voltage requirements, current requirements and charging curves; a calculation module, used to perform data mapping on the battery capacity based on the voltage requirements to obtain an optimal charging voltage; perform data calculation on the remaining power based on the current requirements to obtain a real-time charging current; an adjustment module, used to adjust the real-time charging current using the optimal charging voltage to obtain charging parameters and an initial charging strategy, and use the charging curve to serialize the charging parameters to obtain a serialized charging scheme; a regulation module, used to perform data processing on the serialized charging scheme to obtain a charging instruction set and a charging stage, use the charging instruction set to adjust the initial charging strategy to obtain a charging process, and use the charging process to intelligently control the charging stage to obtain a received voltage; a control module, used to control the power output of the charging pile according to the received voltage.

[0015] The present application also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the processor is enabled to execute the voltage output control method as described in any one of the above.

[0016] Compared with the prior art, the present application has the following beneficial effects: high flexibility and strong adaptability. Through precise data analysis and mapping, the determination of the optimal charging voltage and real-time charging current can ensure the stability and safety of the battery during the charging process and reduce energy loss; the serialized charging scheme and intelligent control of the charging stage further optimize the charging process, enabling the charging pile to flexibly respond to different voltage requirements, overcoming the limitation of the fixed output voltage of the traditional charging pile, and improving the lack of adaptive output voltage adjustment of the charging pile, which leads to the inability of the charging pile to flexibly adapt when charging electric vehicles with different voltage requirements, resulting in low charging efficiency or even failure to charge. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0018] The structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with this technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantive technical significance. Any structural modification, change in proportion or adjustment of size, without affecting the effects and purposes that can be achieved by the present invention, should still fall within the scope of the technical contents disclosed by the present invention.

[0019] Figure 1 is a flow chart of a voltage output control method provided by an embodiment of the present invention; Figure 2 It is a schematic block diagram of the structure of a voltage output control device provided in an embodiment of the present invention.

[0020] Description of reference numerals: 10. Voltage output control device; 11. Acquisition module; 12. Analysis module; 13. Calculation module; 14. Adjustment module; 15. Regulation module; 16. Control module. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0023] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0024] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0025] The technical solution of the present invention is further described below with reference to the accompanying drawings and through specific implementation methods.

[0026] Example 1 like Figure 1 As shown, a voltage output control method provided in an embodiment of the present application includes steps S100 to S600.

[0027] Step S100: Obtain the battery type, battery capacity and remaining power of the new energy electric vehicle.

[0028] In this step, sensors and communication modules are used to collect the battery type, battery capacity, and remaining power from the battery management system (BMS) of the new energy electric vehicle; specifically, the data includes the type of lithium-ion battery, such as ternary lithium battery (NMC) or lithium iron phosphate battery (LFP), the total capacity of the battery, and the current remaining power percentage.

[0029] For example, for an electric vehicle equipped with an NMC battery with a capacity of 60kWh, it will be detected that its remaining power is 30%.

[0030] Step S200: Analyze the data of the battery type to obtain the voltage requirement, current requirement and charging curve.

[0031] In this step, based on the typical characteristics of the battery type and its chemical composition, the most suitable charging voltage and current are analyzed and determined; specifically, the charging standards of various battery types are matched using the information in a preset database to obtain voltage requirements, current requirements and charging curves.

[0032] For example, if the battery is detected to be of NMC type, it will determine its optimal charging voltage as 400V and recommend a maximum charging current of 120A and a charging curve with voltage and current changes during charging.

[0033] Step S300: mapping the battery capacity based on the voltage requirement to obtain the optimal charging voltage; and calculating the remaining power based on the current requirement to obtain the real-time charging current.

[0034] In this step, the battery capacity is connected to the recommended voltage through a preset mapping table to determine the best charging voltage for the current power; specifically, the ideal charging current and voltage settings are calculated taking into account the battery capacity and the remaining power.

[0035] For example, for a remaining charge of 30%, a higher current (such as 100A) will be calculated at the beginning, and the current will be gradually reduced as the charging progresses.

[0036] Step S400: Use the optimal charging voltage to adjust the real-time charging current to obtain charging parameters and an initial charging strategy, and use the charging curve to serialize the charging parameters to obtain a serialized charging solution.

[0037] In this step, the charging control system adjusts the charging current to adapt to the charging requirements at different stages, and obtains charging parameters and an initial charging strategy; specifically, real-time data is combined with the charging curve to form a series of charging operation steps and adjustments.

[0038] For example, a high current can be applied for fast charging at the beginning of charging, and then adjusted to a lower current as the battery temperature and voltage change.

[0039] Step S500: Process the serialized charging scheme to obtain a charging instruction set and a charging stage, use the charging instruction set to adjust the initial charging strategy to obtain a charging process, use the charging process to intelligently control the charging stage to obtain a received voltage.

[0040] In this step, the software algorithm parses the serialized charging plan and converts it into specific operating instructions that can be executed by the charging pile; specifically, these instruction sets are used to adjust different charging stages and optimize the entire charging process.

[0041] For example, based on feedback from the battery, the current and voltage are intelligently adjusted to optimize charging efficiency and prevent overcharging.

[0042] Step S600: Control the power output of the charging pile according to the received voltage.

[0043] In this step, the final voltage setting received by the charging pile adjusts its output; specifically, the charging pile dynamically adjusts its output capacity according to the received voltage and current request.

[0044] For example, if the final charging voltage is determined to be 400V, the charging pile will configure its output to ensure stable power supply at this voltage.

[0045] In this embodiment, the battery type, battery capacity and remaining power of the new energy electric vehicle are first obtained, which is the initial data collection step of the charging process. Then, the battery type is analyzed to determine the specific voltage requirements, current requirements and charging curve. This step ensures that the charging process can be personalized according to the specific situation of the battery. Based on the voltage requirements, the battery capacity is data mapped to obtain the optimal charging voltage, and based on the current requirements, the remaining power is calculated to determine the real-time charging current. Then, the real-time charging current is adjusted using the obtained optimal charging voltage, and the charging parameters are serialized in data in combination with the charging curve to form a serialized charging scheme. Subsequently, the serialized charging scheme is data processed to generate a charging instruction set and determine the charging stage. Finally, the initial charging strategy is adjusted through the charging instruction set, and the charging stage is managed using intelligent control technology, and finally the power output of the charging pile is controlled according to the received voltage. Through precise data analysis and mapping, the determination of the optimal charging voltage and real-time charging current can ensure the stability and safety of the battery during the charging process and reduce energy loss. The serialized charging scheme and intelligent control of the charging stages further optimize the charging process, enabling the charging pile to flexibly respond to different voltage requirements, overcoming the limitations of traditional charging piles with fixed output voltage, and improving the lack of adaptive output voltage adjustment of charging piles, which results in the charging piles being unable to flexibly adapt when charging electric vehicles with different voltage requirements, resulting in low charging efficiency or even failure to charge.

[0046] Embodiment 2: In step S100, the battery characteristic data is obtained from the battery management system of the new energy electric vehicle using the vehicle-mounted communication interface preset in the charging pile.

[0047] Data is exchanged with the electric vehicle's battery management system via the on-board communication system; specifically, the system requests and receives detailed information about the battery, including its chemical type, capacity, manufacturing date, and current operating data.

[0048] For example, the charging station sends a request to a Tesla Model S and receives information that the battery type is Li-ion, the capacity is 85kWh, and the remaining power is 50%.

[0049] The battery characteristic data is subjected to pattern recognition by a pattern recognition algorithm to obtain battery composition data and battery model data.

[0050] The collected data is analyzed using a pattern recognition algorithm to identify the specific composition and model of the battery; specifically, the algorithm parses the characteristics of the battery data points to match known battery compositions and models.

[0051] For example, the system confirmed that the battery was an NCR18650B manufactured by Panasonic by analyzing the collected voltage and current response patterns.

[0052] The battery type is obtained by performing component analysis on the battery component data, and the battery capacity is obtained by performing capacity estimation on the battery model data.

[0053] The battery type, such as NMC or LFP, is determined by composition analysis methods, and the total capacity of the battery is estimated by analyzing the battery model data; specifically, using library comparison data of chemical composition and known models.

[0054] For example, based on the component analysis results, the battery is determined to be of LFP type, and the capacity is estimated to be 100kWh based on the model data.

[0055] Electrochemical impedance spectroscopy is used to evaluate the instantaneous state of the battery and obtain the current remaining battery capacity.

[0056] Assess the battery's immediate health and performance, including accurate measurement of remaining charge, using electrochemical impedance spectroscopy, which analyzes changes in current and voltage as the battery responds.

[0057] For example, electrochemical impedance spectroscopy showed that the internal resistance of the battery increased as the remaining charge decreased, thus estimating the remaining charge to be 45%.

[0058] In step S200, the battery type is analyzed by a decision tree algorithm to obtain a battery voltage range, and the battery voltage range is fitted by a data fitting algorithm to obtain a voltage requirement and a current requirement.

[0059] The battery types are classified and their voltage ranges are analyzed through a decision tree algorithm; specifically, the decision tree outputs the most suitable charging voltage range based on the battery chemistry type, and the data fitting algorithm further refines these parameters to determine the specific charging voltage and current requirements.

[0060] For example, for LFP batteries, the decision tree algorithm determines that the charging voltage does not exceed 3.65V per battery, and the data fitting algorithm sets the maximum charging current to 1C, or 100A.

[0061] The voltage requirement and current requirement are modeled using a preset multiple regression model to obtain a charging curve.

[0062] A charging curve is modeled by relating voltage and current requirements to charging time and battery capacity using a multivariate regression model; specifically, this model predicts the charging time and efficiency of the battery under different voltage and current conditions.

[0063] For example, the model predicts that charging to 80% at 100A will take 1.5 hours, while reducing the current to 50A will take 2.5 hours.

[0064] In step S300, the voltage requirement is classified by a decision tree to obtain a voltage category and a voltage value.

[0065] By using a decision tree algorithm to analyze the electrochemical characteristics and historical charging data of the battery, different voltage categories and specific voltage values ​​are classified; specifically, this algorithm outputs the most suitable voltage category and corresponding voltage value based on the battery's chemical composition, capacity and data provided by the manufacturer.

[0066] For example, for a standard lithium iron phosphate battery, the decision tree classifies it as a low voltage category with a recommended voltage value of 3.2V.

[0067] The voltage category is matched with the battery capacity through a voltage mapping algorithm to obtain battery capacity matching parameters and voltage category parameters.

[0068] Through the voltage mapping algorithm, the voltage category output by the decision tree is matched with the actual capacity of the battery to determine the optimal charging parameters; specifically, the algorithm calculates the optimal voltage setting required for charging based on different combinations of voltage category and battery capacity.

[0069] For example, for a 300Ah lithium iron phosphate battery, under the low voltage category, the mapping algorithm recommends using 3.65V as the charging voltage.

[0070] Capacity mapping is performed on the battery capacity matching parameter to obtain a first capacity mapping value, a second capacity mapping value, and a third capacity mapping value; voltage matching is performed on the voltage category parameter based on the first capacity mapping value to obtain a first voltage matching value; and voltage adjustment is performed on the first voltage matching value to obtain a first voltage adjustment value and a second voltage adjustment value.

[0071] Through the capacity mapping algorithm, the total capacity of the battery is first converted into corresponding mapping values, and then the voltage parameters are adjusted according to these mapping values ​​to meet the needs of different charging stages; specifically, the first capacity mapping value corresponds to the fast charging stage, while the voltage adjustment takes into account the thermal management of the battery and maximization of efficiency.

[0072] For example, if the first capacity mapping value is 300Ah in the fast charging stage, then the first voltage adjustment value is a higher 3.8V to accelerate charging, and the second voltage adjustment value is 3.3V to optimize the battery life.

[0073] The second capacity mapping value is capacity adjusted according to the first voltage adjustment value to obtain the first capacity adjustment value, and the third capacity mapping value and the first capacity adjustment value are voltage matched according to the second voltage adjustment value to obtain the optimal charging voltage.

[0074] By adjusting the second and third capacity mapping values, combined with different voltage adjustment values, an optimal charging voltage suitable for the entire charging cycle is calculated; specifically, this step ensures that the charging voltage can maximize battery performance and life throughout the charging cycle.

[0075] For example, for the intermediate charging stage to maintain charging balance, if the second voltage adjustment value is 3.5V, the final optimal charging voltage is set to 3.45V to optimize charging efficiency and battery health.

[0076] The voltage value is current mapped to obtain a first current mapping value and a second current mapping value, and the remaining power is calculated using the first current mapping value to obtain a power calculation value.

[0077] Through the current mapping algorithm, the voltage value is converted into a corresponding current setting, and the current is optimized according to the remaining power of the battery; specifically, the current mapping value takes into account the real-time needs and protection parameters of the battery to prevent overcharging and accelerated degradation.

[0078] For example, when the battery power is low, if the first current mapping value is the maximum allowed current, the power calculation value will be adjusted to be lower to avoid excessive pressure on the battery.

[0079] The calculated power value and the second current mapping value are current matched to obtain the real-time charging current.

[0080] The calculated charge value is used in conjunction with the second current mapping value to determine the specific current required for real-time charging; specifically, this step ensures that the charging current can both meet the charging speed requirement and protect the battery from damage during the entire charging process.

[0081] For example, if the power calculation value shows that the battery is nearly fully charged, the second current mapping value will be adjusted to a lower current to achieve slow charging, protect the battery, and ultimately balance the voltage and current.

[0082] In step S400, the optimal charging voltage is adjusted based on an adjustment algorithm to obtain a first voltage adjustment parameter and a second voltage adjustment parameter.

[0083] The voltage adjustment algorithm dynamically adjusts the charging voltage according to the current stage of charging and the battery status; specifically, the algorithm analyzes the battery's charging response and temperature changes, and adjusts the voltage in real time to optimize charging efficiency and extend battery life.

[0084] If the battery starts to overheat during the fast charge phase, the algorithm will reduce the voltage from 4.2V to 4.0V to prevent damage.

[0085] The first voltage adjustment parameter is current calculated using a current adjustment algorithm to obtain a first current calculation parameter and a second current calculation parameter, and the first current calculation parameter is current matched using the second voltage adjustment parameter to obtain a matching current parameter.

[0086] The current adjustment algorithm calculates the corresponding optimal current output based on the voltage adjustment parameters to ensure the optimal match between current and voltage during battery charging. Specifically, this calculation takes into account the capacity and chemical properties of the battery and adjusts the current to adapt to the voltage adjustment at different stages.

[0087] For example, when the voltage drops from 4.2V to 4.0V, the current also drops from 1.2C to 1.0C to maintain optimal energy efficiency during charging.

[0088] The matching current parameter and the second current calculation parameter are current fused and calculated to obtain a fused current parameter. The fused current parameter is serialized by a charging parameter serialization algorithm to obtain a first serialized current parameter and a second serialized current parameter. The first serialized current parameter and the voltage adjustment parameter are voltage matched to obtain a charging parameter.

[0089] The current requirements at different stages are integrated through current fusion calculation, and then these current parameters are converted into executable charging parameters using a serialization algorithm; specifically, this step ensures the continuity and adaptability of the charging current and optimizes the entire charging process.

[0090] For example, high current parameters in the initial stage are combined with low current parameters in the later stage to smooth the current output and reduce the stress on the battery.

[0091] The second serialized current parameter and the current calculation parameter are used to perform a charging strategy calculation to obtain an initial charging strategy.

[0092] By combining current calculation parameters and serialized current parameters, a preliminary charging strategy is designed; specifically, this strategy will be dynamically adjusted according to the needs and status of the battery to maximize charging efficiency and safety.

[0093] For example, if the battery is in good condition and the temperature is within a safe range, the initial charging strategy recommends a higher current to shorten the charging time.

[0094] The charging curve is fitted by a charging curve fitting algorithm to obtain fitting curve parameters, and the charging parameters are serialized using the fitting curve parameters to obtain a serialized charging scheme.

[0095] Through the curve fitting algorithm, a charging curve that best suits the current battery is simulated based on the charging data collected in real time; specifically, this curve will help optimize the entire charging process and improve charging efficiency and battery life by dynamically adjusting the charging speed and voltage.

[0096] For example, the algorithm recognizes that charging efficiency decreases as the battery approaches full charge, so it adjusts the curve to slow down the charging rate to avoid overcharging and thermal decay.

[0097] In step S500, a data mining algorithm is used to process data of the serialized charging scheme to obtain a first data mining result, a second data mining result, and a third data mining result.

[0098] Data mining techniques are used to analyze patterns and trends in sequenced charging scenarios, thereby extracting useful information for further optimizing the charging process; specifically, these algorithms can identify problem points of low charging efficiency and predict long-term changes in battery performance.

[0099] For example, data mining results show that the charging efficiency drops abnormally at a certain temperature, which will guide the adjustment of charging parameters to adapt to environmental changes.

[0100] The charging stage analysis algorithm is used to analyze the first data mining result to obtain the first charging stage and the second charging stage. The charging instruction generation algorithm is used to calculate the charging stage of the first charging stage and the second data mining result to obtain the charging stage.

[0101] Through the charging stage analysis algorithm, the different stages of the charging process are divided according to the data mining results, and the specific charging instructions applied in each stage are calculated; specifically, this includes the determination and instruction generation of the fast charging stage, the balanced charging stage, and the trickle charging stage.

[0102] For example, if the data mining results for the first charging stage indicate that fast charging to 80% capacity is most efficient, the charging command generation algorithm will set the highest current output for this stage.

[0103] The charging instructions of the second charging stage and the third data mining results are optimized according to the charging instruction optimization algorithm to obtain a charging instruction set, and the initial charging strategy is adjusted using the charging instruction set to obtain a charging process.

[0104] Through the charging instruction optimization algorithm, the instructions of each charging stage are adjusted and optimized to ensure the efficiency of the entire charging process and the health of the battery; specifically, the optimization algorithm will adjust the current and voltage to adapt to the battery's charging state and environmental factors.

[0105] For example, if data mining results from the second charging phase show that the battery is prone to overheating when it is close to full charge, the optimization algorithm will reduce the current during the final charging phase.

[0106] The charging process is optimized based on the charging process control algorithm to obtain a first optimized process and a second optimized process, the first optimized process is refined to obtain a refined process, the refined process and the second optimized process are used to intelligently control the charging stage to obtain a received voltage.

[0107] The charging instructions and adjustments are further refined through process control algorithms to ensure that the charging process can reach the optimal state at different stages; specifically, this includes real-time adjustment of charging voltage and current to cope with changes in battery status.

[0108] For example, refinement of the process includes automatically reducing the voltage when the battery temperature rises, or adjusting the charging speed when the battery voltage approaches a set threshold to prevent overcharging.

[0109] In step S600, a voltage recognition algorithm is used to identify the voltage magnitude of the received voltage, and the output control circuit of the charging pile is controlled to output electric energy according to the voltage magnitude.

[0110] The received voltage is accurately measured through a voltage recognition algorithm, and the output of the charging station is controlled to match the receiving capacity of the tram; specifically, this includes ensuring safe and efficient energy transfer by adjusting the circuit to respond to the voltage requirements of the tram.

[0111] For example, if it is recognized that the receiving voltage of the electric car is 400V, the control circuit will adjust the output to stably provide 400V voltage.

[0112] The control circuit includes a first branch circuit, a second branch circuit, a series-parallel switching circuit, an anti-backflow circuit and an output filter circuit.

[0113] The control circuit system ensures the stability and flexibility of the power output; specifically, the control circuit achieves precise control and optimization of current and voltage through the coordination of different circuit elements.

[0114] For example, the anti-backflow circuit can prevent current from flowing back and protect the circuit safety of the battery and charging pile.

[0115] The first branch circuit and the second branch circuit are connected to the series-parallel switching circuit; wherein the series-parallel switching circuit is used to control the first branch circuit and the second branch circuit to output in series, or to control the first branch circuit and the second branch circuit to output in parallel.

[0116] The series-parallel switching circuit dynamically selects the series or parallel mode of the circuit; specifically, when a higher output voltage is required, the circuit selects the series mode, and when a lower output voltage is required, the circuit switches to the parallel mode.

[0117] For example, if a high voltage of more than 500V is required, two 400V branch circuits are connected in series for output, and if a voltage of less than 500V is required, the two branch circuits are connected in parallel for output.

[0118] The input end of the anti-backflow circuit is connected to the series-parallel switching circuit, and the output end of the anti-backflow circuit is connected to the output filter circuit; wherein the output filter circuit is used to connect to the charging object.

[0119] The system is protected by connecting an anti-backflow circuit; specifically, the anti-backflow circuit can prevent reverse current from damaging the charging pile and vehicle battery, and the output filter circuit ensures the stability and purity of power transmission.

[0120] For example, when a high voltage is output in series mode, the anti-backflow circuit prevents current from flowing back and affecting battery safety, while the filter circuit eliminates noise and interference in the power supply.

[0121] When the voltage is greater than a preset voltage threshold, the series-parallel switching circuit is used to control the first branch circuit and the second branch circuit to output in series.

[0122] By detecting the voltage, the output mode of the series-parallel switching circuit is automatically adjusted; specifically, when the voltage detection exceeds the preset value, the system automatically selects the series mode to provide a higher output voltage.

[0123] For example, when the electric vehicle requires a charging voltage of 600V, but a single branch can only provide 400V, the series-parallel switching circuit controls the first branch circuit and the second branch circuit to output in series to meet the requirement.

[0124] When the voltage is smaller than a preset voltage threshold, the series-parallel switching circuit is used to control the first branch circuit and the second branch circuit to output in parallel.

[0125] By detecting the voltage drop, it automatically adjusts to the parallel output mode to provide a higher charging current; specifically, when the voltage requirement is below a preset threshold, the system switches to the parallel mode to meet the voltage requirement.

[0126] For example, when the electric vehicle requires a charging voltage below 500V, the series-parallel switching circuit controls the first branch circuit and the second branch circuit to output in parallel to meet the requirement.

[0127] In this embodiment, efficient and safe power output is achieved through an intelligent, automated and flexible circuit control system. Through the division of labor and cooperation among the series-parallel switching circuit, the first branch circuit and the second branch circuit, the system can dynamically select the optimal circuit form according to the real-time voltage and current requirements, thereby ensuring the stability and flexibility of power output. In addition, the introduction of the anti-backflow circuit provides reverse current protection, avoids damage to the charging pile and the battery system by the backflow current, and enhances the safety of the system. The output filter circuit ensures the purity of the supplied power, reduces voltage noise and interference, and provides a smoother charging process. Taken together, these technical improvements not only improve the efficiency and adaptability of the charging pile, but also greatly improve the safety and reliability of the electric vehicle charging process, meeting the diverse market demands and user expectations.

[0128] Embodiment 3: like Figure 2 As shown, the present application provides a voltage output control device 10 , including an acquisition module 11 , an analysis module 12 , a calculation module 13 , an adjustment module 14 , a regulation module 15 , and a control module 16 .

[0129] The acquisition module 11 is mainly used to acquire the battery type, battery capacity and remaining power of the new energy electric vehicle.

[0130] The analysis module 12 is mainly used to perform data analysis on the battery type to obtain voltage requirements, current requirements and charging curves.

[0131] The calculation module 13 is mainly used to perform data mapping of the battery capacity based on the voltage requirement to obtain the optimal charging voltage; and perform data calculation of the remaining power based on the current requirement to obtain the real-time charging current.

[0132] The adjustment module 14 is mainly used to adjust the real-time charging current using the optimal charging voltage to obtain charging parameters and an initial charging strategy, and to serialize the charging parameters using the charging curve to obtain a serialized charging solution.

[0133] The adjustment module 15 is mainly used to process data of the serialized charging scheme, obtain a charging instruction set and a charging stage, use the charging instruction set to adjust the initial charging strategy, obtain a charging process, use the charging process to intelligently control the charging stage, and obtain a received voltage.

[0134] The control module 16 is mainly used to control the power output of the charging pile according to the received voltage.

[0135] In this embodiment, a comprehensive voltage output control device 10 is used to effectively manage and optimize the charging process of new energy electric vehicles. The device collects basic information of the battery, including battery type, capacity and remaining power, through the acquisition module 11 to ensure the personalized adaptability of the charging process. The analysis module 12 conducts in-depth analysis of these data to determine the voltage and current required for charging, as well as the charging curve, so as to accurately regulate the charging needs of the battery. The calculation module 13 optimizes the charging voltage and current through mapping and calculation operations to ensure the efficiency and safety of the charging process. The adjustment module 14 uses these calculation results to adjust the real-time charging current, form an initial charging strategy and sequence the entire charging plan. The regulation module 15 further processes these serialized charging plans, generates specific charging instructions and charging stages, and makes the charging process more intelligent. The control module 16 accurately controls the power output of the charging pile according to the received voltage, thereby ensuring the stability of the charging process and the optimal performance of the battery.

[0136] It should be noted that technicians in the relevant technical field can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described device and each module can refer to the corresponding process in the aforementioned embodiment 1, and will not be repeated here.

[0137] Embodiment 4: The present application provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the processor executes the voltage output control method as described in Example 1.

[0138] In this embodiment, the automatic execution of the intelligent voltage output control method is achieved through a computer-readable storage medium and a computer program stored thereon. The program enables the processor to perform a series of charging control tasks, including real-time adjustment of voltage and current, generation of charging strategies, and processing of serialized charging schemes, as described in Example 1. Through a programmed method, this storage medium provides a highly standardized and automated solution that enables charging equipment to perform precise charging control without human intervention. The application of this technology not only reduces the complexity of operation, but also significantly improves the efficiency and reliability of the charging process.

[0139] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A voltage output control method, characterized in that: include: Obtain the battery type, battery capacity and remaining power of the new energy electric vehicle; Performing data analysis on the battery type to obtain voltage requirements, current requirements and charging curves; Based on the voltage requirement, data mapping is performed on the battery capacity to obtain an optimal charging voltage; based on the current requirement, data calculation is performed on the remaining power to obtain a real-time charging current; The real-time charging current is adjusted by using the optimal charging voltage to obtain charging parameters and an initial charging strategy, and the charging parameters are serialized by using the charging curve to obtain a serialized charging solution; Performing data processing on the serialized charging scheme to obtain a charging instruction set and a charging stage, using the charging instruction set to adjust the initial charging strategy to obtain a charging process, and using the charging process to intelligently control the charging stage to obtain a received voltage; The electric energy output of the charging pile is controlled according to the received voltage.

2. The voltage output control method according to claim 1, characterized in that: The step of obtaining the battery type, battery capacity and remaining power of the new energy electric vehicle includes: Obtain battery characteristic data from the battery management system of the new energy electric vehicle using the vehicle-mounted communication interface preset in the charging pile; Performing pattern recognition on the battery characteristic data by using a pattern recognition algorithm to obtain battery composition data and battery model data; Performing component analysis on the battery component data to obtain the battery type, and performing capacity estimation on the battery model data to obtain the battery capacity; Electrochemical impedance spectroscopy is used to evaluate the instantaneous state of the battery and obtain the current remaining battery capacity.

3. The voltage output control method according to claim 1, characterized in that: The step of performing data analysis on the battery type to obtain voltage requirements, current requirements and charging curves includes: Analyze the battery type by using a decision tree algorithm to obtain a battery voltage range, and fit the battery voltage range by using a data fitting algorithm to obtain a voltage requirement and a current requirement; The voltage requirement and the current requirement are modeled using a preset multiple regression model to obtain a charging curve.

4. The voltage output control method according to claim 1, characterized in that: The data mapping of the battery capacity is performed based on the voltage requirement to obtain an optimal charging voltage; The step of calculating the remaining power based on the current requirement to obtain the real-time charging current includes: Classifying the voltage requirements through a decision tree to obtain voltage categories and voltage values; Matching the voltage category with the battery capacity through a voltage mapping algorithm to obtain a battery capacity matching parameter and a voltage category parameter; Capacity mapping is performed on the battery capacity matching parameter to obtain a first capacity mapping value, a second capacity mapping value, and a third capacity mapping value; voltage matching is performed on the voltage category parameter based on the first capacity mapping value to obtain a first voltage matching value; and voltage adjustment is performed on the first voltage matching value to obtain a first voltage adjustment value and a second voltage adjustment value; Capacity-adjust the second capacity mapping value according to the first voltage adjustment value to obtain a first capacity adjustment value, and voltage-match the third capacity mapping value and the first capacity adjustment value according to the second voltage adjustment value to obtain an optimal charging voltage; Performing current mapping on the voltage value to obtain a first current mapping value and a second current mapping value, and performing power calculation on the remaining power using the first current mapping value to obtain a power calculation value; The calculated power value and the second current mapping value are current matched to obtain the real-time charging current.

5. The voltage output control method according to claim 1, characterized in that: The step of adjusting the real-time charging current by using the optimal charging voltage to obtain charging parameters and an initial charging strategy, and serializing the charging parameters by using the charging curve to obtain a serialized charging solution includes: Performing voltage adjustment on the optimal charging voltage based on an adjustment algorithm to obtain a first voltage adjustment parameter and a second voltage adjustment parameter; Performing current calculation on the first voltage adjustment parameter using a current adjustment algorithm to obtain a first current calculation parameter and a second current calculation parameter, and performing current matching on the first current calculation parameter using the second voltage adjustment parameter to obtain a matching current parameter; Performing current fusion calculation on the matching current parameter and the second current calculation parameter to obtain a fused current parameter, serializing the fused current parameter using a charging parameter serialization algorithm to obtain a first serialized current parameter and a second serialized current parameter, and performing voltage matching on the first serialized current parameter and the voltage adjustment parameter to obtain a charging parameter; Performing charging strategy calculation on the second serialized current parameter and the current calculation parameter to obtain an initial charging strategy; The charging curve is fitted by a charging curve fitting algorithm to obtain fitting curve parameters, and the charging parameters are serialized using the fitting curve parameters to obtain a serialized charging scheme.

6. The voltage output control method according to claim 1, characterized in that: The step of performing data processing on the serialized charging scheme to obtain a charging instruction set and a charging stage, adjusting the initial charging strategy using the charging instruction set to obtain a charging process, and intelligently controlling the charging stage using the charging process to obtain a receiving voltage includes: Using a data mining algorithm to process data of the serialized charging scheme to obtain a first data mining result, a second data mining result, and a third data mining result; Performing a charging stage analysis on the first data mining result by using a charging stage analysis algorithm to obtain a first charging stage and a second charging stage, and performing a charging stage calculation on the first charging stage and the second data mining result by using a charging instruction generation algorithm to obtain a charging stage; Optimize the charging instructions of the second charging stage and the third data mining result according to the charging instruction optimization algorithm to obtain a charging instruction set, and adjust the initial charging strategy by using the charging instruction set to obtain a charging process; The charging process is optimized based on a charging process control algorithm to obtain a first optimization process and a second optimization process, the first optimization process is refined to obtain a refined process, and the charging stage is intelligently controlled using the refined process and the second optimization process to obtain a received voltage.

7. The voltage output control method according to claim 1, characterized in that: The step of controlling the electric energy output of the charging pile according to the received voltage comprises: A voltage recognition algorithm is used to identify the voltage magnitude of the received voltage, and an output control circuit of the charging pile is controlled according to the voltage magnitude to output electric energy.

8. The voltage output control method according to claim 7, characterized in that: The control circuit includes a first branch circuit, a second branch circuit, a series-parallel switching circuit, an anti-backflow circuit and an output filter circuit; The first branch circuit and the second branch circuit are connected to the series-parallel switching circuit; wherein the series-parallel switching circuit is used to control the first branch circuit and the second branch circuit to output in series, or to control the first branch circuit and the second branch circuit to output in parallel; The input end of the anti-backflow circuit is connected to the series-parallel switching circuit, and the output end of the anti-backflow circuit is connected to the output filter circuit; wherein the output filter circuit is used to connect to a charging object; When the voltage is greater than a preset voltage threshold, the series-parallel switching circuit is used to control the first branch circuit and the second branch circuit to output in series; When the voltage is smaller than a preset voltage threshold, the series-parallel switching circuit is used to control the first branch circuit and the second branch circuit to output in parallel.

9. A voltage output control device, characterized in that: include: An acquisition module is used to obtain the battery type, battery capacity and remaining power of the new energy electric vehicle; An analysis module, used to perform data analysis on the battery type to obtain voltage requirements, current requirements and charging curves; A calculation module, used for performing data mapping on the battery capacity based on the voltage requirement to obtain an optimal charging voltage; Calculate the remaining power based on the current requirement to obtain a real-time charging current; An adjustment module, configured to adjust the real-time charging current using the optimal charging voltage to obtain charging parameters and an initial charging strategy, and to serialize the charging parameters using the charging curve to obtain a serialized charging solution; A regulating module, used for performing data processing on the serialized charging scheme to obtain a charging instruction set and a charging stage, adjusting the initial charging strategy using the charging instruction set to obtain a charging process, and intelligently controlling the charging stage using the charging process to obtain a received voltage; A control module is used to control the power output of the charging pile according to the received voltage.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, the processor is caused to execute the voltage output control method according to any one of claims 1 to 7.

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