Battery charging method, system and equipment for extended-range automobile and medium

Abstract

The invention relates to the technical field of vehicles, and discloses a battery charging method, system and equipment for an extended-range automobile and a medium. The battery charging method of the extended-range automobile comprises the following steps: constructing a battery quick-charging simulation model, and obtaining model parameters of the battery quick-charging simulation model; determining an initial charging safety boundary of the battery according to the model parameters; verifying the initial charging safety boundary to obtain a target charging safety boundary; according to the target charging safety boundary, calculating an optimal solution of a battery fast charging target to obtain a first fast charging strategy; and optimizing the first fast charging strategy according to the pulse width to obtain a final target fast charging strategy. By adopting the embodiment of the invention, the battery charging time of the extended-range automobile can be effectively shortened, the temperature rise of the battery is reduced, the service life of the battery is prolonged, and the charging energy loss is reduced.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a battery charging method, system, device and medium for an extended-range vehicle. Background Art

[0002] For a circuit powered by a rechargeable battery in a range-extended vehicle, the battery is either charging, discharging, or neither charging nor discharging.

[0003] In the related technology, although the charging and discharging process of the extended-range vehicle meets the movement and power operation requirements of the extended-range vehicle, it does not take into account the life of the battery (such as a lithium battery) during charging and discharging, as well as various technical issues such as whether lithium deposition and dendrites that damage the microstructure will occur, thereby affecting the battery's service life. In addition, it affects the battery's charge fullness rate. Summary of the invention

[0004] Based on this, it is necessary to provide a battery charging method, system, equipment and medium for extended-range vehicles to address the above-mentioned technical problems, which can effectively shorten the battery charging time of extended-range vehicles, reduce the temperature rise of the battery, extend the battery life, and reduce the charging energy loss.

[0005] In a first aspect, a battery charging method for an extended-range vehicle is provided, comprising:

[0006] Constructing a battery fast charging simulation model and obtaining model parameters of the battery fast charging simulation model;

[0007] Determining an initial charging safety margin of the battery according to the model parameters;

[0008] Verifying the initial charging safety boundary to obtain a target charging safety boundary;

[0009] According to the target charging safety boundary, an optimal solution for the battery fast charging target is calculated to obtain a first fast charging strategy;

[0010] The first fast charging strategy is optimized according to the pulse width to obtain the final target fast charging strategy.

[0011] In some examples, constructing a battery fast charging simulation model and obtaining model parameters of the battery fast charging simulation model include:

[0012] Taking the two-dimensional model of the battery as a prototype, solid-liquid phase diffusion and ohmic polarization process are added to the battery thermal coupling model to construct the battery fast charging simulation model;

[0013] Obtain model parameters of the battery fast charging simulation model, and simplify the model parameters.

[0014] In some examples, determining the initial charging safety margin of the battery according to the model parameters includes:

[0015] According to the model parameters, the negative electrode potential of the battery during operation is simulated through the battery fast charging simulation model;

[0016] The initial charging safety margin is determined according to the simulation result of the negative electrode potential during battery operation.

[0017] In some examples, verifying the initial charging safety boundary to obtain a target charging safety boundary includes:

[0018] configuring a first battery group and a second battery group, wherein the first battery group and the second battery group are both composed of a plurality of new batteries with the same performance;

[0019] Configure a battery full life cycle data testing platform to monitor battery impedance and constant temperature and humidity chamber data during the charging and discharging process;

[0020] Acquire, through the data monitoring, a first processing result of the first battery pack undergoing cyclic working condition processing in a thermostat at a first ambient temperature, and a second processing result of the second battery pack undergoing cyclic working condition processing in a thermostat at a second ambient temperature;

[0021] The initial charging safety margin is verified according to the first processing result and the second processing result to obtain the target charging safety margin.

[0022] In some examples, calculating the optimal solution of the battery fast charging target according to the target charging safety boundary to obtain the first fast charging strategy includes:

[0023] Initializing a genetic population according to the target charging safety boundary, and determining a fast charging optimization target and a fitness function of the battery, wherein the individuals of the genetic population are current sequences of a battery charging process;

[0024] Performing crossover and mutation on the genetic population, and calculating an intermediate optimal solution of multiple objectives of battery fast charging according to the fast charging optimization objective and the fitness function;

[0025] Repeating the steps of performing crossover and mutation on the genetic population until a maximum number of iterations reaches a predetermined threshold, or within a predetermined number of consecutive iterations, a change in the calculated intermediate optimal solution does not exceed a predetermined optimal solution change threshold, thereby obtaining a final optimal solution for the battery fast charging multi-objective;

[0026] The optimal solution of the battery fast charging multi-objectives is used as the first fast charging strategy.

[0027] In some examples, performing crossover and mutation on the genetic population, and calculating an intermediate optimal solution of multiple objectives of battery fast charging according to the fast charging optimization objective and the fitness function, includes:

[0028] determining a first individual and a second individual in the genetic population according to a crossover probability;

[0029] By simulating binary crossover, randomly selecting gene positions of the first individual and the second individual for crossover, a first parent population and a first offspring population are obtained;

[0030] Performing a mutation operation on the first offspring population in a mutation manner with equal probability to obtain a second parent population and a second offspring population;

[0031] Recombining the second parent population and the second child population individually to obtain a solution to a multi-objective battery fast charging problem, wherein the solution to the multi-objective battery fast charging problem is one or more;

[0032] The intermediate optimal solution is determined according to the fitness function and the solution of the battery fast charging multi-objective.

[0033] In some examples, optimizing the first fast charging strategy according to the pulse width to obtain a final target fast charging strategy includes:

[0034] determining a plurality of candidate pulse widths based on weight coefficients;

[0035] Calculate the first fast charging strategy under each candidate pulse width to obtain a first fast charging strategy set;

[0036] Compare the fitness function convergence results of each first fast charging strategy in the first fast charging strategy set to obtain the final target fast charging strategy.

[0037] In a second aspect, a battery charging system for an extended-range vehicle is provided, comprising:

[0038] A construction module is used to construct a battery fast charging simulation model and obtain model parameters of the battery fast charging simulation model;

[0039] a boundary determination module, configured to determine an initial charging safety boundary of the battery according to the model parameters, and verify the initial charging safety boundary to obtain a target charging safety boundary;

[0040] The fast charging strategy calculation module is used to calculate the optimal solution of the battery fast charging target according to the target charging safety boundary, obtain a first fast charging strategy, and optimize the first fast charging strategy according to the pulse width to obtain a final target fast charging strategy.

[0041] In a third aspect, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the battery charging method for an extended-range vehicle as described in the first aspect above is implemented.

[0042] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, and the program is executed by a processor to implement the battery charging method for an extended-range vehicle according to the first aspect above.

[0043] By adopting the embodiment of the present application, a battery fast charging simulation model is constructed and the model parameters are obtained. Then, the initial charging safety boundary of the battery is determined according to the model parameters. By verifying the initial charging safety boundary, the target charging safety boundary is obtained. Finally, according to the target charging safety boundary, the first fast charging strategy is obtained, and the final target fast charging strategy is obtained by optimizing it. In this way, the battery charging time of the extended-range vehicle can be effectively shortened, the temperature rise of the battery can be reduced, the battery life can be extended, and the charging energy loss can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0045] Figure 1 A flow chart of a battery charging method for an extended-range vehicle provided in an embodiment of the present application;

[0046] Figure 2 A structural block diagram of a battery charging system for an extended-range vehicle provided in an embodiment of the present application;

[0047] Figure 3 A structural block diagram of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0048] The present application is further described in detail below in conjunction with the embodiments and drawings. It is to be understood that the specific embodiments described herein are only used to explain the relevant application, rather than to limit the application. It is also necessary to explain that, for ease of description, only the parts related to the application are shown in the drawings.

[0049] It should be noted that, in the absence of conflict, the embodiments of the present application, that is, the features of the embodiments, can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0050] The following describes in detail the battery charging method, system, device and medium of the extended-range vehicle according to the embodiments of the present application in conjunction with the accompanying drawings.

[0051] Figure 1FIG. 1 is a flow chart of a battery charging method for a range-extended vehicle according to an embodiment of the present application. Figure 1 As shown, a battery charging method for a range-extended vehicle according to an embodiment of the present application includes the following steps:

[0052] S101: construct a battery fast charging simulation model and obtain model parameters of the battery fast charging simulation model.

[0053] In one embodiment of the present application, a battery fast charging simulation model is constructed, and model parameters of the battery fast charging simulation model are obtained, including: taking the two-dimensional model of the battery as a prototype, adding solid-liquid phase diffusion and ohmic polarization process to the battery thermal coupling model to construct the battery fast charging simulation model; obtaining model parameters of the battery fast charging simulation model, and simplifying the model parameters.

[0054] Taking the lithium battery of the extended-range vehicle as an example, a fast-charging simulation model of the lithium battery of the extended-range vehicle is constructed, and the model parameters are obtained.

[0055] Among them, the extended-range vehicle lithium battery fast charging device, for example, includes: a charging adapter connected to a DC charging gun and a charging gun connected to a charging port of an electric vehicle, and also includes a pulse generating device, the pulse generating device includes a DC input end connected to the charging adapter and a DC output end connected to the charging gun, the pulse generating device also includes a bridge arm converter, an energy storage inductor and a device controller, the bridge arm converter includes a first fully controlled device and a second fully controlled device connected in series, the positive electrode of the DC input end is connected to the first end of the bridge arm converter through a mode switching switch, the negative electrode of the DC input end is connected to the second end of the bridge arm converter, the positive electrode of the DC input end is connected to one end of the energy storage inductor, the other end of the energy storage inductor is connected to the midpoint of the bridge arm converter, the two ends of the bridge arm converter are respectively connected to the positive and negative electrodes of the DC output end, the mode switch and the bridge arm converter are both connected to the device controller, and the device controller is respectively connected to the DC charging pile and the electric vehicle charging port through the charging adapter and the charging gun.

[0056] Taking the two-dimensional model of lithium battery as the prototype, solid-liquid phase diffusion and ohmic polarization process are added to the lithium ion thermal coupling model to construct a battery fast charging simulation model, and then the model parameters of the battery fast charging simulation model are obtained and simplified.

[0057] S102: Determine an initial charging safety margin of the battery according to the model parameters.

[0058] In one embodiment of the present application, the initial charging safety boundary of the battery is determined according to the model parameters, including: simulating the negative electrode potential of the battery during operation through the battery fast charging simulation model according to the model parameters; and determining the initial charging safety boundary based on the simulation results of the negative electrode potential of the battery during operation.

[0059] S103: Verify the initial charging safety boundary to obtain the target charging safety boundary.

[0060] In one example, the initial charging safety boundary is verified to obtain a target charging safety boundary, including: configuring a first battery group and a second battery group, wherein the first battery group and the second battery group are both composed of a plurality of new batteries with the same performance; configuring a battery full life cycle data test platform to monitor the battery impedance and constant temperature and humidity chamber data during the charging and discharging process; obtaining, through the data monitoring, a first processing result of the first battery group undergoing cyclic operating condition processing in a constant temperature chamber at a first ambient temperature, and a second processing result of the second battery group undergoing cyclic operating condition processing in a constant temperature chamber at a second ambient temperature; and verifying the initial charging safety boundary based on the first processing result and the second processing result to obtain the target charging safety boundary.

[0061] Taking lithium-ion power batteries as an example, the initial charging safety boundary is verified through the lithium-ion power battery full life cycle data test platform to obtain the target charging safety boundary, including: configuring a first battery group and a second battery group; wherein the first battery group and the second battery group are both composed of multiple new batteries with the same performance; configuring the lithium-ion power battery full life cycle data test platform to perform data monitoring of battery impedance and constant temperature and humidity chamber during the charging and discharging process; obtaining a first processing result of the first battery group undergoing cyclic working condition processing in a constant temperature chamber at a first ambient temperature through the data monitoring; obtaining a second processing result of the second battery group undergoing cyclic working condition processing in a constant temperature chamber at a second ambient temperature through the data monitoring; verifying the initial charging safety boundary based on the first processing result and the second processing result to obtain the target charging safety boundary

[0062] S104: Calculate an optimal solution for a battery fast charging target based on the target charging safety boundary to obtain a first fast charging strategy.

[0063] In one embodiment of the present application, according to the target charging safety boundary, the optimal solution of the battery fast charging target is calculated to obtain a first fast charging strategy, including: initializing a genetic population according to the target charging safety boundary, determining the fast charging optimization target and fitness function of the battery, wherein the individuals of the genetic population are current sequences of the battery charging process; performing crossover and mutation on the genetic population, and calculating an intermediate optimal solution of multiple battery fast charging targets according to the fast charging optimization target and the fitness function; repeating the steps of performing crossover and mutation on the genetic population until the maximum number of iterations reaches a predetermined threshold, or within a predetermined number of continuous iterations, the change of the calculated intermediate optimal solution does not exceed a predetermined optimal solution change threshold, to obtain the final optimal solution of the multiple battery fast charging targets; and using the optimal solution of the multiple battery fast charging targets as the first fast charging strategy.

[0064] In this example, the genetic population is crossovered and mutated, and an intermediate optimal solution of battery fast charging multi-objectives is calculated according to the fast charging optimization objective and the fitness function, including: determining the first individual and the second individual in the genetic population according to the crossover probability; randomly selecting the gene positions of the first individual and the second individual for crossover by simulating binary crossover to obtain a first parent population and a first child population; mutating the first child population with equal probability to obtain a second parent population and a second child population; recombining the second parent population and the second child population to obtain a solution of battery fast charging multi-objectives, wherein the solution of the battery fast charging multi-objectives is one or more; determining the intermediate optimal solution according to the fitness function and the solution of the battery fast charging multi-objectives.

[0065] Taking lithium-ion power batteries as an example, according to the target charging safety boundary, the final optimal solution of the battery fast charging multi-objectives is calculated by an improved genetic algorithm to obtain a first fast charging strategy, including: initializing a genetic population according to the target charging safety boundary; wherein the individuals of the genetic population are current sequences of the lithium-ion power battery charging process; determining the fast charging optimization target and fitness function of the lithium-ion power battery; performing crossover and mutation on the genetic population, and calculating the intermediate optimal solution of the battery fast charging multi-objectives according to the fast charging optimization target and the fitness function; repeating the steps of performing crossover and mutation on the genetic population until the maximum number of iterations reaches a predetermined threshold, or within a predetermined number of continuous iterations, the change of the calculated intermediate optimal solution does not exceed a predetermined optimal solution change threshold, thereby obtaining the final optimal solution of the battery fast charging multi-objectives; and using the optimal solution of the battery fast charging multi-objectives as the first fast charging strategy.

[0066] The genetic population is crossovered and mutated, and an intermediate optimal solution of battery fast charging multi-objectives is calculated according to the fast charging optimization objective and the fitness function, including: determining the first individual and the second individual in the genetic population according to the crossover probability; randomly selecting the gene positions of the first individual and the second individual for crossover by simulating binary crossover to obtain a first parent population and a first child population; mutating the first child population with equal probability to obtain a second parent population and a second child population; recombining the second parent population and the second child population to obtain a solution of battery fast charging multi-objectives; wherein the solution of the battery fast charging multi-objectives is one or more; based on the tournament algorithm, determining the intermediate optimal solution according to the fitness function and the solution of the battery fast charging multi-objectives.

[0067] S105: Optimize the first fast charging strategy according to the pulse width to obtain a final target fast charging strategy.

[0068] In a specific example, the first fast charging strategy is optimized according to the pulse width to obtain the final target fast charging strategy, including: determining multiple candidate pulse widths based on a weight coefficient; calculating the first fast charging strategy under each of the candidate pulse widths to obtain a first fast charging strategy set; comparing the fitness function convergence results of each first fast charging strategy in the first fast charging strategy set to obtain the final target fast charging strategy.

[0069] Specifically, multiple candidate pulse widths are determined based on weight coefficients; the first fast charging strategy under each candidate pulse width is calculated to obtain a first fast charging strategy set; the fitness function convergence results of all the first fast charging strategies in the first fast charging strategy set are compared to obtain the final target fast charging strategy. The above-mentioned final target fast charging strategy is used in a composite material system. For a battery of a composite material system, during the charging process, the battery has different materials with high chemical reaction activity under different electrical parameter states. Therefore, the material activity interval of the battery is detected in real time through the battery's electrical parameters. For different material activity intervals, a charging strategy adapted to the activity interval is used for charging to ensure that the battery is charged with enough electricity while speeding up the battery's charging speed. Multiple candidate pulse widths are determined based on weight coefficients of different composite materials; the first fast charging strategy under each candidate pulse width is calculated to obtain a first fast charging strategy set; the fitness function convergence results of all the first fast charging strategies in the first fast charging strategy set are compared to adopt the final target fast charging strategy. If the real-time battery temperature is higher than the preset temperature threshold, the conventional fast charging mode is entered; if the real-time battery temperature is lower than the preset temperature threshold, the heating fast charging mode is entered, and the device controller controls the pulse generating device to generate high-frequency pulse current to heat and fast charge the power battery until the power battery is heated to the preset temperature threshold and enters the conventional fast charging mode.

[0070] The initial charging safety boundary is verified by a lithium-ion power battery full life cycle data test platform to obtain a target charging safety boundary, including: configuring a high-activity material and a low-activity material; wherein the high-activity material and the low-activity material form two groups of new batteries;

[0071] After the DC charging pile, the power battery heating fast charging device and the electric vehicle charging port are connected and confirmed, they simultaneously start to periodically send communication handshake messages. The device controller performs CAN bus low-voltage communication with the vehicle controller of the electric vehicle through the charging port of the electric vehicle to obtain the real-time battery temperature of the power battery.

[0072] When entering the conventional fast charging mode, the device controller controls the mode switching switch in the pulse generating device to close and turns off the bridge arm converter.

[0073] When entering the heating fast charging mode, the device controller communicates with the DC charging pile to make it work in the constant voltage mode. The device controller controls the mode switching switch in the pulse generating device to disconnect and controls the bridge arm converter to work, thereby realizing high-frequency pulse current charging and heating of the power battery.

[0074] When the bridge arm converter is working, the bridge arm converter is controlled to first enter working mode one, the first fully controlled device is controlled to be disconnected, and the second fully controlled device is controlled to be closed, and the current flows from the positive electrode of the DC input through the energy storage inductor and the second fully controlled device, and returns to the negative electrode of the DC input terminal. At this time, the current IL of the energy storage inductor increases. When IL≥Iref+D / 2, Iref is the inductor current given value of the energy storage inductor, and D is the loop width. The device controller controls the bridge arm converter to enter working mode two. The device controller controls the first fully controlled device to be closed, and the second fully controlled device to be disconnected. The current flows from the positive electrode of the DC input terminal through the energy storage inductor, the first fully controlled device and the DC output terminal, and returns to the negative electrode of the DC input terminal. At this time, the inductor current IL of the energy storage inductor decreases. When the inductor current IL≤Iref-D / 2, the device controller controls the bridge arm converter to switch to working mode one. The two working modes of the bridge arm converter are repeatedly switched to generate high-frequency pulse charging current.

[0075] When the bridge arm converter is working, the voltage at the DC input end of the pulse generating device is lower than the voltage at the DC output end.

[0076] The real-time battery temperature and SOC of the power battery are read, and the pulse charging current parameter pair (Iref, fref) is selected from the table to achieve the maximum heat generation rate without lithium precipitation. Iref is the given value of the inductor current, and fref is the frequency of the pulse charging current. During the charging process, the pulse charging current parameter pair is updated in real time according to the changes in the real-time battery temperature and SOC of the power battery to keep the power battery at the maximum heat generation rate.

[0077] The amplitude and frequency of the pulse charging current are controlled independently. The amplitude and frequency of the pulse charging current are achieved by hysteresis control of the current of the energy storage inductor. Iref is used as the given value of the inductor current, and D is preset as the loop width to construct current hysteresis negative feedback control. The frequency fref of the pulse charging current is reduced by increasing the loop width D, and the frequency fref of the pulse charging current is increased by reducing the loop width D.

[0078] At the same time, when the range-extending generator is used to charge the battery, the charging pulse control circuit in the vehicle power management system can also be used for circuit pulse charging. The lithium battery charger adopts a large current pulse discharge to achieve the effect of fast charging and reduce the adverse polarization effect, thereby increasing the battery life. The circuit structure of the pulse charger consists of circuit filtering, primary rectification filtering, PWM conversion, secondary rectification filtering, pulse circuit, charging and discharging circuit and feedback control. Compared with the ordinary switching power supply circuit, this circuit has more pulse generation circuit and charging and discharging circuit parts. In order to improve the conversion efficiency of the circuit, the PWM control adopts the integrated control device specially developed by Guisheng Power; the pulse generation circuit adopts the 555 time base circuit and the decimal counter / frequency division circuit. The DC / DC conversion part uses the flyback circuit specially developed by Guisheng Power. In addition to the characteristics of the PWM control itself, such as working in quasi-resonant mode, no-load frequency reduction, dynamic self-power supply, and low no-load power consumption, it is similar to the conventional flyback circuit.

[0079] According to the battery charging method of the extended-range vehicle in the embodiment of the present application, a battery fast-charging simulation model is constructed and the model parameters are obtained. Then, the initial charging safety boundary of the battery is determined according to the model parameters. The target charging safety boundary is obtained by verifying the initial charging safety boundary. Finally, according to the target charging safety boundary, the first fast-charging strategy is obtained, and the final target fast-charging strategy is obtained by optimizing it. In this way, the battery charging time of the extended-range vehicle can be effectively shortened, the temperature rise of the battery can be reduced, the battery life can be extended, and the charging energy loss can be reduced.

[0080] Figure 2 FIG. 1 is a structural block diagram of a battery charging system for a range-extended vehicle according to an embodiment of the present application. Figure 2As shown, according to an embodiment of the present application, the battery charging system of the extended-range vehicle includes: a construction module 210, a boundary determination module 220 and a fast charging strategy calculation module 230, wherein:

[0081] A construction module 210 is used to construct a battery fast charging simulation model and obtain model parameters of the battery fast charging simulation model;

[0082] A boundary determination module 220, configured to determine an initial charging safety boundary of the battery according to the model parameters, and verify the initial charging safety boundary to obtain a target charging safety boundary;

[0083] The fast charging strategy calculation module 230 is used to calculate the optimal solution of the battery fast charging target according to the target charging safety boundary, obtain a first fast charging strategy, and optimize the first fast charging strategy according to the pulse width to obtain a final target fast charging strategy.

[0084] According to the battery charging system of the extended-range vehicle of the embodiment of the present application, a battery fast-charging simulation model is constructed and the model parameters are obtained, and then the initial charging safety boundary of the battery is determined according to the model parameters, and the target charging safety boundary is obtained by verifying the initial charging safety boundary. Finally, according to the target charging safety boundary, the first fast-charging strategy is obtained, and the final target fast-charging strategy is obtained by optimizing it. In this way, the battery charging time of the extended-range vehicle can be effectively shortened, the temperature rise of the battery can be reduced, the battery life can be extended, and the charging energy loss can be reduced.

[0085] For the specific definition of the battery charging system of the extended-range vehicle, please refer to the definition of the battery charging method of the extended-range vehicle above, which will not be repeated here. The various modules of the battery charging system of the extended-range vehicle can be implemented in whole or in part by software, hardware and a combination thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0086] Reference below Figure 3 , Figure 3 A schematic diagram of the structure of a computer device suitable for implementing the embodiments of the present application is shown.

[0087] like Figure 3As shown, computer system 1000 includes a central processing unit (CPU) 1001, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage part 1008 into a random access memory (RAM) 1003. Various programs and data required for the operation instructions of the system are also stored in RAM 1003. CPU 1001, ROM 1002 and RAM 1003 are connected to each other via a bus 1004. An input / output (I / O) interface 1005 is also connected to bus 1004.

[0088] The following components are connected to the I / O interface 1005: an input section 1006 including a keyboard, a mouse, etc.; an output section 1007 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 1008 including a hard disk, etc.; and a communication section 1009 including a network interface card such as a LAN card, a modem, etc. The communication section 1009 performs communication processing via a network such as the Internet. A drive 1010 is also connected to the I / O interface 1005 as needed. A removable medium 1011, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 1010 as needed, so that a computer program read therefrom is installed into the storage section 1008 as needed.

[0089] In particular, according to an embodiment of the present application, the above reference flow chart Figure 1 The described process may be implemented as a computer-readable storage medium. For example, an embodiment of the present application includes a computer-readable storage medium, which includes a computer program, and the computer program includes a program code for executing the method shown in the flowchart.

[0090] In particular, according to an embodiment of the present application, the above reference flow chart Figure 1 The described process can be implemented as a computer software program. For example, a computer program product is included in an embodiment of the present application, which includes a computer program carried on a computer readable medium, and the computer program includes a program code for executing the method shown in the flow chart. In such an embodiment, the computer program includes a program code for executing the method shown in the flow chart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 1009, and / or installed from the removable medium 1011. When the computer program is executed by the central processing unit (CPU) 1001, the above-mentioned functions defined in the system of the present application are executed.

[0091] It should be noted that the computer-readable medium shown in the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium such as a computer-readable storage medium that can send, propagate or transmit a program for use by or in conjunction with an instruction execution system, device or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0092] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operating instructions of the system, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the aforementioned module, a program segment or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the box can also occur in a sequence different from that marked in the accompanying drawings. For example, the boxes represented by two connections can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operating instruction, or can be implemented with a combination of dedicated hardware and computer instructions.

[0093] The units or modules involved in the embodiments described in the present application may be implemented by software or hardware. The units or modules described may also be arranged in a processor. The names of these units or modules do not, in some cases, constitute limitations on the units or modules themselves.

[0094] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0095] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the patent application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent application shall be subject to the attached claims.

Claims

1. A battery charging method for an extended-range vehicle, characterized in that: include: Constructing a battery fast charging simulation model and obtaining model parameters of the battery fast charging simulation model; Determining an initial charging safety margin of the battery according to the model parameters; Verifying the initial charging safety boundary to obtain a target charging safety boundary; According to the target charging safety boundary, an optimal solution for the battery fast charging target is calculated to obtain a first fast charging strategy; The first fast charging strategy is optimized according to the pulse width to obtain the final target fast charging strategy.

2. The battery charging method for an extended-range vehicle according to claim 1, characterized in that: The constructing of the battery fast charging simulation model and obtaining the model parameters of the battery fast charging simulation model include: Taking the two-dimensional model of the battery as a prototype, solid-liquid phase diffusion and ohmic polarization process are added to the battery thermal coupling model to construct the battery fast charging simulation model; Obtain model parameters of the battery fast charging simulation model, and simplify the model parameters.

3. The battery charging method for an extended-range vehicle according to claim 1, characterized in that: The determining the initial charging safety boundary of the battery according to the model parameters includes: According to the model parameters, the negative electrode potential of the battery during operation is simulated through the battery fast charging simulation model; The initial charging safety margin is determined according to the simulation result of the negative electrode potential during battery operation.

4. The battery charging method for an extended-range vehicle according to claim 1, characterized in that: The verifying the initial charging safety boundary to obtain a target charging safety boundary includes: configuring a first battery group and a second battery group, wherein the first battery group and the second battery group are both composed of a plurality of new batteries with the same performance; Configure a battery full life cycle data testing platform to monitor battery impedance and constant temperature and humidity chamber data during the charging and discharging process; Acquire, through the data monitoring, a first processing result of the first battery pack undergoing cyclic working condition processing in a thermostat at a first ambient temperature, and a second processing result of the second battery pack undergoing cyclic working condition processing in a thermostat at a second ambient temperature; The initial charging safety margin is verified according to the first processing result and the second processing result to obtain the target charging safety margin.

5. The battery charging method for an extended-range vehicle according to claim 1, characterized in that: The step of calculating the optimal solution of the battery fast charging target according to the target charging safety boundary to obtain a first fast charging strategy includes: Initializing a genetic population according to the target charging safety boundary, and determining a fast charging optimization target and a fitness function of the battery, wherein the individuals of the genetic population are current sequences of a battery charging process; Performing crossover and mutation on the genetic population, and calculating an intermediate optimal solution of multiple objectives of battery fast charging according to the fast charging optimization objective and the fitness function; Repeating the steps of performing crossover and mutation on the genetic population until a maximum number of iterations reaches a predetermined threshold, or within a predetermined number of consecutive iterations, a change in the calculated intermediate optimal solution does not exceed a predetermined optimal solution change threshold, thereby obtaining a final optimal solution for the battery fast charging multi-objective; The optimal solution of the battery fast charging multi-objectives is used as the first fast charging strategy.

6. The battery charging method for an extended-range vehicle according to claim 5, characterized in that: The crossover and mutation of the genetic population, and calculation of the intermediate optimal solution of the battery fast charging multi-objective according to the fast charging optimization objective and the fitness function, include: determining a first individual and a second individual in the genetic population according to a crossover probability; By simulating binary crossover, randomly selecting gene positions of the first individual and the second individual for crossover, a first parent population and a first offspring population are obtained; Performing a mutation operation on the first offspring population in a mutation manner with equal probability to obtain a second parent population and a second offspring population; Recombining the second parent population and the second child population individually to obtain a solution to a multi-objective battery fast charging problem, wherein the solution to the multi-objective battery fast charging problem is one or more; The intermediate optimal solution is determined according to the fitness function and the solution of the battery fast charging multi-objective.

7. The battery charging method for an extended-range vehicle according to claim 1, characterized in that: The step of optimizing the first fast charging strategy according to the pulse width to obtain a final target fast charging strategy includes: determining a plurality of candidate pulse widths based on weight coefficients; Calculate the first fast charging strategy under each candidate pulse width to obtain a first fast charging strategy set; Compare the fitness function convergence results of each first fast charging strategy in the first fast charging strategy set to obtain the final target fast charging strategy.

8. A battery charging system for an extended-range vehicle, characterized in that: include: A construction module is used to construct a battery fast charging simulation model and obtain model parameters of the battery fast charging simulation model; a boundary determination module, configured to determine an initial charging safety boundary of the battery according to the model parameters, and verify the initial charging safety boundary to obtain a target charging safety boundary; The fast charging strategy calculation module is used to calculate the optimal solution of the battery fast charging target according to the target charging safety boundary, obtain a first fast charging strategy, and optimize the first fast charging strategy according to the pulse width to obtain a final target fast charging strategy.

9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the battery charging method for the extended-range vehicle according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the battery charging method for an extended-range vehicle according to any one of claims 1 to 7 is implemented.

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