Vehicle braking energy recovery method and system

Abstract

The invention provides a vehicle braking energy recovery method and system.The method comprises the steps that when it is detected that a vehicle is in a braking state in real time through a preset sensor array, braking recovery energy correspondingly generated in the braking process of the vehicle is collected in real time through a preset supercapacitor in the vehicle; corresponding instantaneous peak energy is extracted from the brake recovery energy in real time, and an energy transmission strategy matched with the brake recovery energy is generated in real time through a preset PID controller according to the instantaneous peak energy and a preset fuzzy logic algorithm; and the braking recovery energy is correspondingly transmitted to the preset flywheel energy storage module through the energy transmission strategy, and a battery pack in the vehicle is charged through the preset flywheel energy storage module. Transmission of braking energy can be smoothly and effectively completed, and the energy recovery efficiency is correspondingly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy vehicles, and particularly relates to a vehicle braking energy recovery method and system. Background Art

[0002] With the progress of technology and the rapid development of productivity, the production technology of new energy electric vehicles has become increasingly mature, and new energy electric vehicles have been popularized in people's daily lives. Among them, in order to improve the energy utilization rate of new energy electric vehicles in the prior art, a braking energy recovery system is provided inside the new energy electric vehicle to recover braking energy.

[0003] Among them, supercapacitors and flywheel energy storage modules have been developed and applied in the existing braking energy recovery system to improve the recovery ability of the braking energy recovery system.

[0004] Furthermore, when it is detected in real time that the vehicle is in a braking state in the prior art, the existing supercapacitor is used to capture the braking energy generated by the current vehicle in real time. However, during the energy transmission process, the existing supercapacitor cannot smoothly and effectively transmit the braking energy to the flywheel energy storage module for storage, resulting in easy energy loss and correspondingly reducing the energy recovery efficiency. Summary of the Invention

[0005] Based on this, the object of the present invention is to provide a vehicle braking energy recovery method and system to solve the problem that the prior art cannot smoothly and effectively transmit the energy collected by the supercapacitor in real time to the flywheel energy storage module, resulting in easy energy loss.

[0006] The first aspect of the embodiment of the present invention proposes: A vehicle braking energy recovery method, wherein the method includes: When it is detected in real time by a preset sensor array that the vehicle is in a braking state, the braking recovery energy generated by the vehicle during braking is collected in real time by a preset supercapacitor inside the vehicle; The corresponding instantaneous peak energy is extracted in real time from the braking recovery energy, and a preset PID controller generates an energy transmission strategy adapted to the braking recovery energy in real time according to the instantaneous peak energy and a preset fuzzy logic algorithm; The braking recovery energy is transmitted to a preset flywheel energy storage module according to the energy transmission strategy, and the preset flywheel energy storage module is used to charge a battery pack inside the vehicle.

[0007] The beneficial effects of the present invention are as follows: By means of the pre-set sensor array, it can accurately detect whether the vehicle enters the braking state. Based on this, through the supercapacitor pre-set inside the current vehicle, the braking recovery energy generated during braking can be collected in real time. Based on this, in order to output smoothly and effectively, corresponding parsing is required. Specifically, the present invention will extract the instantaneous peak energy in real time and output the corresponding energy transmission strategy in real time with this as a feature, and can finally transmit the energy smoothly and effectively to the preset flywheel energy storage module through this strategy, thereby effectively preventing energy loss and correspondingly improving the energy recovery efficiency.

[0008] Further, the step of extracting the corresponding instantaneous peak energy from the braking recovery energy in real time includes: When the braking recovery energy is obtained in real time, the energy spectrum contained in the braking recovery energy is detected in real time; The energy fluctuation curve contained in the energy spectrum is extracted in real time, and the instantaneous peak energy is extracted in real time according to the energy fluctuation curve.

[0009] Further, the step of extracting the instantaneous peak energy in real time according to the energy fluctuation curve includes: When the energy fluctuation curve is obtained in real time, a full scan is performed on the energy fluctuation curve to detect the starting point and the ending point corresponding to the energy fluctuation curve in real time; Within the range of the starting point and the ending point, a number of maximum points and a number of minimum points successively included in the energy fluctuation curve are detected in real time, and the instantaneous peak energy is extracted in real time according to the number of maximum points and the number of minimum points.

[0010] Further, the step of extracting the instantaneous peak energy in real time according to the number of maximum points and the number of minimum points includes: When a number of maximum points and a number of minimum points are obtained respectively, a corresponding target identifier is added to each maximum point and each minimum point in turn; In the direction from the starting point to the ending point, the target difference generated between two adjacent maximum points and minimum points is calculated in real time according to the target identifier, and each target difference is set as the instantaneous peak energy correspondingly.

[0011] Further, the step of generating an energy transmission strategy adapted to the braking recovery energy in real time by a preset PID controller according to the instantaneous peak energy and a preset fuzzy logic algorithm includes: When the instantaneous peak energy is obtained in real time, the initial control network included correspondingly inside the preset PID controller is detected in real time; Perform a full scan on the initial control network to detect in real time a number of initial control nodes included correspondingly in the initial control network, and perform a fusion process on the instantaneous peak energy and each of the initial control nodes through the preset fuzzy logic algorithm to correspondingly output the energy transmission strategy.

[0012] Further, the step of performing a fusion process on the instantaneous peak energy and each of the initial control nodes through the preset fuzzy logic algorithm to correspondingly output the energy transmission strategy includes: When each of the initial control nodes is detected in real time, the initial control parameters respectively included in each of the initial control nodes are detected in real time; Convert each of the instantaneous peak energies into corresponding target control parameters through the preset fuzzy logic algorithm, and output the energy transmission strategy according to the target control parameters and the initial control nodes.

[0013] Further, the step of outputting the energy transmission strategy according to the target control parameters and the initial control nodes includes: When each of the target control parameters is obtained in real time, replace the initial control parameters in each of the initial control nodes with each of the target control parameters one by one to form a corresponding target control network in the PID controller in real time; Output a corresponding target control strategy in real time through the target control network, and set the target control strategy as the energy transmission strategy correspondingly.

[0014] A second aspect of the embodiments of the present invention proposes: A vehicle braking energy recovery system, wherein the system includes: An acquisition module, configured to, when it is detected in real time by a preset sensor array that the vehicle is in a braking state, acquire in real time the braking recovery energy generated by the vehicle during braking through a preset supercapacitor inside the vehicle; An extraction module, configured to extract the corresponding instantaneous peak energy from the braking recovery energy, and generate in real time an energy transmission strategy adapted to the braking recovery energy according to the instantaneous peak energy and a preset fuzzy logic algorithm through a preset PID controller; A transmission module, configured to transmit the braking recovery energy to a preset flywheel energy storage module correspondingly through the energy transmission strategy, and charge a battery pack inside the vehicle through the preset flywheel energy storage module.

[0015] Further, the extraction module is specifically configured to: When the braking recovery energy is obtained in real time, the energy map included in the braking recovery energy is detected in real time; The energy fluctuation curve included in the energy map is extracted in real time, and the instantaneous peak energy is extracted in real time according to the energy fluctuation curve.

[0016] Further, the extraction module is specifically configured to: When the energy fluctuation curve is obtained in real time, a full scan is performed on the energy fluctuation curve to detect the starting point and the ending point corresponding to the energy fluctuation curve in real time; Within the range of the starting point and the ending point, a number of maximum points and a number of minimum points included in the energy fluctuation curve are detected in real time, and the instantaneous peak energy is extracted in real time according to the number of maximum points and the number of minimum points.

[0017] Further, the extraction module is specifically configured to: When a number of maximum points and a number of minimum points are obtained respectively, a corresponding target identifier is added to each maximum point and each minimum point in turn; In the direction from the starting point to the ending point, the target difference generated between two adjacent maximum points and minimum points is calculated in real time according to the target identifier, and each target difference is set as the instantaneous peak energy correspondingly.

[0018] Further, the extraction module is specifically configured to: When the instantaneous peak energy is obtained in real time, the initial control network included in the preset PID controller is detected in real time; A full scan is performed on the initial control network to detect a number of initial control nodes included in the initial control network in real time, and the instantaneous peak energy and each initial control node are fused through the preset fuzzy logic algorithm to output the energy transmission strategy correspondingly.

[0019] Further, the extraction module is specifically configured to: When each initial control node is detected in real time, the initial control parameters included in each initial control node are detected in real time; Each instantaneous peak energy is converted into a corresponding target control parameter through the preset fuzzy logic algorithm, and the energy transmission strategy is output according to the target control parameter and the initial control node.

[0020] Further, the extraction module is specifically configured to: When each of the target control parameters is obtained in real time, the initial control parameters in each of the initial control nodes are replaced one by one with each of the target control parameters, so as to form a corresponding target control network in the PID controller in real time; The corresponding target control strategy is output in real time through the target control network, and the target control strategy is correspondingly set as the energy transmission strategy.

[0021] A third aspect of the embodiments of the present invention provides: A computer includes a memory, a processor, and a computer program stored on the memory and executable on the processor. Wherein, when the processor executes the computer program, the vehicle braking energy recovery method as described above is implemented.

[0022] A fourth aspect of the embodiments of the present invention provides: A readable storage medium stores a computer program thereon. Wherein, when the program is executed by a processor, the vehicle braking energy recovery method as described above is implemented.

[0023] Additional aspects and advantages of the present invention will be given in part in the following description, become apparent in part from the following description, or be understood through the practice of the present invention. Description of the Drawings

[0024] Figure 1 It is a flowchart of the vehicle braking energy recovery method provided by the first embodiment of the present invention; Figure 2 It is a structural block diagram of the vehicle braking energy recovery system provided by the third embodiment of the present invention.

[0025] The following specific embodiments will further illustrate the present invention in conjunction with the above-mentioned drawings. Specific Embodiments

[0026] To facilitate the understanding of the present invention, the present invention will be described more comprehensively below with reference to the relevant drawings. Several embodiments of the present invention are shown in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, these embodiments are provided to make the disclosure of the present invention more thorough and comprehensive.

[0027] It should be noted that when an element is referred to as being "fixed to" another element, it can be directly on the other element or there may also be an intermediate element. When an element is considered to be "connected" to another element, it can be directly connected to the other element or there may be an intermediate element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0028] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this invention belongs. The terms used in the description of the present invention herein are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0029] Please refer to Figure 1 , which shows the vehicle braking energy recovery method provided by the first embodiment of the present invention. The vehicle braking energy recovery method provided by this embodiment can smoothly and effectively complete the transmission of the recovered braking energy, correspondingly improving the energy recovery efficiency.

[0030] Specifically, this embodiment provides: A vehicle braking energy recovery method, specifically including the following steps: Step S10, when it is detected in real time by a preset sensor array that the vehicle is in a braking state, the braking recovery energy generated by the vehicle during braking is collected in real time by a preset supercapacitor inside the vehicle; Among them, it should be noted that existing new energy electric vehicles all have the function of braking energy recovery, that is, existing new energy electric vehicles are all equipped with a braking energy recovery system, and a existing supercapacitor and a flywheel energy storage module are provided in this system to improve the recovery ability of the recovery system. Based on this, when it is detected in real time that the vehicle is in a driving state, the driving conditions of the vehicle are monitored in real time through a pre-set speed sensor, an acceleration sensor, etc. And when it is detected in real time that the vehicle is in a braking state, the above-mentioned supercapacitor will be immediately activated, and the braking recovery energy generated by the current vehicle during braking can be immediately collected in real time by this supercapacitor for subsequent processing.

[0031] Step S20, extract the corresponding instantaneous peak energy from the braking recovery energy in real time, and generate an energy transmission strategy adapted to the braking recovery energy in real time by a preset PID controller according to the instantaneous peak energy and a preset fuzzy logic algorithm; Among them, it should be noted that after the required braking recovery energy is collected in real time through the above supercapacitor, in order to smoothly and effectively complete the transmission of the current braking recovery energy at this time, it is necessary to parse the current braking recovery energy in real time to determine the adapted transmission strategy in real time. Specifically, in order to accurately complete the subsequent transmission, the present invention will detect the instantaneous peak energy contained in the current braking recovery energy in real time, and immediately perform logical processing on the current instantaneous peak energy through the existing PID controller and fuzzy logic algorithm, that is, analyze the characteristics of the current braking recovery energy in real time, and be able to formulate an adapted energy transmission strategy for subsequent processing.

[0032] Step S30, transmit the braking recovery energy to the preset flywheel energy storage module corresponding to the energy transmission strategy, and charge the battery pack inside the vehicle through the preset flywheel energy storage module.

[0033] Among them, it should be noted that after the required energy transmission strategy is obtained in real time through the above steps, the current braking recovery energy can be immediately transmitted to the inside of the above flywheel energy storage module in real time according to the transmission method of the energy transmission strategy. Based on this, the flywheel energy storage module can charge the battery pack inside the vehicle, thereby effectively recovering the braking energy and correspondingly improving the recovery efficiency.

[0034] Second Embodiment Furthermore, the step of extracting the corresponding instantaneous peak energy from the braking recovery energy in real time includes: When the braking recovery energy is obtained in real time, detect the energy spectrum corresponding to the braking recovery energy in real time; Extract the energy fluctuation curve corresponding to the energy spectrum in real time, and extract the instantaneous peak energy according to the energy fluctuation curve in real time.

[0035] Among them, it should be noted that in order to accurately and effectively extract the required instantaneous peak energy from the above braking recovery energy in real time, it is necessary to accurately obtain the information corresponding to the current braking recovery energy. Among them, it should be pointed out that the existing braking energy will generate corresponding spectra during the real-time recovery process. Based on this, the present invention can detect the corresponding energy spectrum in the current braking recovery energy in real time. Among them, it should be noted that the spectrum can intuitively reflect the energy recovery situation, that is, the spectrum contains the energy fluctuation curve generated during the recovery of the braking energy, and subsequent analysis is performed for subsequent processing.

[0036] Furthermore, the step of extracting the instantaneous peak energy according to the energy fluctuation curve in real time includes: When the energy fluctuation curve is obtained in real time, a full scan is performed on the energy fluctuation curve to detect in real time the starting point and the ending point corresponding to the energy fluctuation curve; Within the range between the starting point and the ending point, several maximum points and several minimum points successively included in the energy fluctuation curve are detected in real time, and the instantaneous peak energy is extracted in real time according to the several maximum points and the several minimum points.

[0037] It should be noted that in the process of generating existing curves, maximum points and minimum points will be correspondingly formed. Similarly, several maximum points and several minimum points also appear successively inside the above-mentioned energy fluctuation curve. It should be pointed out that the maximum points and the minimum points can reflect the energy fluctuation situation in real time, that is, they can reflect in real time the magnitude corresponding to the braking energy during the real-time recovery process. Therefore, the instantaneous peak energy generated in real time can be correspondingly determined by analyzing the extreme points, and then the required energy transmission strategy can be generated in real time according to the instantaneous peak energy, so as to complete the energy transmission for subsequent processing.

[0038] Further, the step of extracting the instantaneous peak energy in real time according to the several maximum points and the several minimum points includes: When several maximum points and several minimum points are respectively obtained, a corresponding target identifier is successively added to each maximum point and each minimum point; In the direction from the starting point to the ending point, the target difference generated between two adjacent maximum points and minimum points is calculated in real time according to the target identifier, and each target difference is correspondingly set as the instantaneous peak energy.

[0039] It should be noted that after several maximum points and several minimum points are respectively obtained through the above steps, subsequent extraction processing can be carried out at this time. Specifically, for the convenience of subsequent distinction, the present invention will successively add corresponding target identifiers to each current maximum point and minimum point, and immediately calculate the target difference generated between the current adjacent maximum point and minimum point in the direction from the above starting point to the ending point with each current target identifier as the judgment basis, that is, subtract the current minimum point from the current maximum point, so as to calculate the peak energy corresponding to a certain moment, that is, the energy generated far greater than that at other moments. Based on this, the present invention can correspondingly set the energy magnitude corresponding to each current target difference as the above-mentioned instantaneous peak energy and perform subsequent analysis for subsequent processing.

[0040] Further, the step of generating, by a preset PID controller, an energy transmission strategy adapted to the braking recovery energy in real time according to the instantaneous peak energy and a preset fuzzy logic algorithm includes: When the instantaneous peak energy is obtained in real time, the internal initial control network included in the preset PID controller is detected in real time; The initial control network is scanned comprehensively to detect several initial control nodes included in the initial control network in real time, and the instantaneous peak energy and each of the initial control nodes are subjected to fusion processing by the preset fuzzy logic algorithm to output the energy transmission strategy correspondingly.

[0041] It should be noted that after the required instantaneous peak energy is obtained in real time through the above steps, the above PID controller and the above fuzzy logic algorithm will be immediately enabled. It should be pointed out that a corresponding control network is set inside the existing PID controllers. Based on this, in order to complete the subsequent control, the present invention comprehensively scans the current initial control network and can simultaneously scan several initial control nodes included in the current initial control network. At this time, by improving each current initial control node with each instantaneous peak energy, a target control network adapted to the current vehicle can be finally formed, so as to output a corresponding control strategy for subsequent processing.

[0042] Further, the step of performing fusion processing on the instantaneous peak energy and each of the initial control nodes by the preset fuzzy logic algorithm to output the energy transmission strategy correspondingly includes: When each of the initial control nodes is detected in real time, the initial control parameters respectively included in each of the initial control nodes are detected in real time; Each of the instantaneous peak energies is respectively converted into a corresponding target control parameter by the preset fuzzy logic algorithm, and the energy transmission strategy is output correspondingly according to the target control parameter and the initial control node.

[0043] Among them, it should be noted that after each initial control node is detected in real time through the above steps, since the prior art will set corresponding control parameters for each control node, based on this, the present invention can detect in real time the initial control parameters respectively included inside each current initial control node. Based on this, the current instantaneous peak energy is immediately processed in real time through the above fuzzy logic algorithm to be converted in real time into target control parameters that can be recognized by the controller for subsequent processing. Among them, it should be noted that during the real-time conversion process, the extreme values corresponding to the current instantaneous peak energy are extracted in real time through the sliding window in the above fuzzy logic algorithm. Based on this, the current fuzzy logic algorithm can immediately perform median filtering and fuzzy normalization processing on the current extreme values in sequence, so as to map the current extreme values into the required membership values. Based on this, the current membership values are then decoded in real time through the existing PWM modulator, and the current membership values can be mapped in real time into corresponding register values. Finally, the control parameters corresponding to the register values are matched in real time in the preset control parameter table, and finally the control parameters are set as the required target control parameters. Based on this, the target control parameters are transmitted to the inside of the controller for subsequent processing.

[0044] Further, the step of outputting the energy transmission strategy according to the target control parameter and the initial control node includes: When each of the target control parameters is obtained in real time, the initial control parameters in each of the initial control nodes are replaced one by one with each of the target control parameters to form a corresponding target control network in the PID controller in real time; The corresponding target control strategy is output in real time through the target control network, and the target control strategy is set as the energy transmission strategy.

[0045] Among them, it should be noted that after obtaining the required initial control nodes and target control parameters respectively through the above steps, the PID controller can be adaptively adjusted at this time. Specifically, the present invention will immediately replace the initial control parameters in each current initial control node with the corresponding current target control parameters one by one, so as to be able to form the finally required target control network in real time inside the current PID controller, and generate the corresponding target control strategy in real time according to the sequence of the current target control nodes through this target control network, so as to finally set the current target control strategy as the energy transmission strategy for subsequent energy transmission, and then be able to smoothly and effectively complete the recovery of braking energy. During this process, the phenomenon of braking energy loss can be effectively avoided, and the integrity of energy is ensured, corresponding to improving the energy recovery efficiency. Among them, it should be noted that the target control network provided by the present invention is a CAN network, and this target control network is electrically connected to components such as the vehicle controller, inverter, battery pack, and motor controller inside the vehicle. Based on this, several target control nodes will be formed inside the current target control network. It can be understood that each current target control node will correspond to controlling a key component. Specifically, for example, one target control node is used to control the vehicle controller, and another target control node is used to control the inverter. Based on this, through this target control network, each important component inside the current vehicle can be connected into a whole. Based on this, the present invention will add corresponding target identifiers to each current target control node according to the existing energy transmission inertia, that is, set the sequence of transmission between each current target control node in real time. Based on this, according to the sequence between the current target identifiers, the braking energy collected in real time is circulated among the current components, so as to finally transmit the braking energy collected in real time into the battery pack, and then be able to effectively replenish the battery pack. Based on this, the cruising range of the vehicle can be correspondingly improved, and the user experience is also improved.

[0046] Please refer to Figure 2 , the third embodiment of the present invention provides: A vehicle braking energy recovery system, wherein the system includes: A collection module, configured to, when it is detected in real time through a preset sensor array that the vehicle is in a braking state, collect in real time the braking recovery energy generated by the vehicle during braking through a preset supercapacitor inside the vehicle; An extraction module, configured to extract the corresponding instantaneous peak energy in the braking recovery energy in real time, and generate an energy transmission strategy adapted to the braking recovery energy in real time through a preset PID controller according to the instantaneous peak energy and a preset fuzzy logic algorithm; A transmission module for correspondingly transmitting the regenerative braking energy to a preset flywheel energy storage module according to the energy transmission strategy, and charging a battery pack inside the vehicle through the preset flywheel energy storage module.

[0047] Further, the extraction module is specifically configured to: When the regenerative braking energy is obtained in real time, the energy spectrum correspondingly included in the regenerative braking energy is detected in real time; The energy fluctuation curve correspondingly included in the energy spectrum is extracted in real time, and the instantaneous peak energy is extracted in real time according to the energy fluctuation curve.

[0048] Further, the extraction module is specifically configured to: When the energy fluctuation curve is obtained in real time, a full scan is performed on the energy fluctuation curve to detect in real time the starting point and the ending point corresponding to the energy fluctuation curve; Within the range of the starting point and the ending point, a number of maximum points and a number of minimum points successively included in the energy fluctuation curve are detected in real time, and the instantaneous peak energy is extracted in real time according to the number of maximum points and the number of minimum points.

[0049] Further, the extraction module is specifically configured to: When a number of maximum points and a number of minimum points are respectively obtained, a corresponding target identifier is added to each maximum point and each minimum point in turn; In the direction from the starting point to the ending point, the target difference generated between adjacent maximum points and minimum points is calculated in real time according to the target identifier, and each target difference is correspondingly set as the instantaneous peak energy.

[0050] Further, the extraction module is specifically configured to: When the instantaneous peak energy is obtained in real time, the initial control network correspondingly included inside the preset PID controller is detected in real time; A full scan is performed on the initial control network to detect in real time a number of initial control nodes correspondingly included in the initial control network, and the instantaneous peak energy and each initial control node are fused through the preset fuzzy logic algorithm to correspondingly output the energy transmission strategy.

[0051] Further, the extraction module is specifically configured to: When each initial control node is detected in real time, the initial control parameters respectively included in each initial control node are detected in real time; Convert each of the instantaneous peak energies into corresponding target control parameters through the preset fuzzy logic algorithm, and output the energy transmission strategy according to the target control parameters and the initial control nodes.

[0052] Further, the extraction module is specifically configured to: When each of the target control parameters is obtained in real time, replace the initial control parameters in each of the initial control nodes with each of the target control parameters one by one to form a corresponding target control network in the PID controller in real time; Output a corresponding target control strategy in real time through the target control network, and set the target control strategy as the energy transmission strategy.

[0053] A fourth embodiment of the present invention provides a computer, including a memory, a processor, and a computer program stored on the memory and executable on the processor. Wherein, when the processor executes the computer program, the vehicle braking energy recovery method as described above is implemented.

[0054] A fifth embodiment of the present invention provides a readable storage medium, on which a computer program is stored. Wherein, when the program is executed by a processor, the vehicle braking energy recovery method as described above is implemented.

[0055] In summary, the vehicle braking energy recovery method and system provided by the above embodiments of the present invention can smoothly and effectively complete the recovery of braking energy, correspondingly improving the energy recovery efficiency.

[0056] It should be noted that the above-mentioned various modules can be functional modules or program modules, and can be implemented either by software or by hardware. For the modules implemented by hardware, the above-mentioned various modules can be located in the same processor; or the above-mentioned various modules can also be located in different processors in any combination form.

[0057] The logic and / or steps represented in the flowchart or described in other ways herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in combination with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

[0058] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection (electronic device) having one or more wirings, a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable media can even be paper or other suitable media on which the program can be printed, as the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or otherwise processing as appropriate, and then storing it in a computer memory.

[0059] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0060] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials, or characteristics described in connection with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0061] The above-described embodiments merely represent several implementation manners of the present invention, and their descriptions are relatively specific and detailed, but should not be construed as limiting the scope of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the appended claims.

Claims

1. A method for recovering braking energy of a vehicle, characterized in that, The method includes: When it is detected in real time by a preset sensor array that the vehicle is in a braking state, braking recovery energy generated during the braking process of the vehicle is collected in real time by a preset supercapacitor inside the vehicle; Instantaneous peak energy corresponding thereto is extracted in real time from the braking recovery energy, and an energy transmission strategy adapted to the braking recovery energy is generated in real time by a preset PID controller according to the instantaneous peak energy and a preset fuzzy logic algorithm; The braking recovery energy is transmitted to a preset flywheel energy storage module according to the energy transmission strategy, and the preset flywheel energy storage module is used to charge a battery pack inside the vehicle.

2. The vehicle braking energy recovery method according to claim 1, characterized in that: The step of extracting the instantaneous peak energy corresponding thereto in real time from the braking recovery energy includes: When the braking recovery energy is obtained in real time, an energy map included in the braking recovery energy is detected in real time; An energy fluctuation curve included in the energy map is extracted in real time, and the instantaneous peak energy is extracted in real time according to the energy fluctuation curve.

3. The vehicle braking energy recovery method according to claim 2, wherein: The step of extracting the instantaneous peak energy in real time according to the energy fluctuation curve includes: When the energy fluctuation curve is obtained in real time, a full scan is performed on the energy fluctuation curve to detect in real time a starting point and an ending point corresponding to the energy fluctuation curve; Within the range between the starting point and the ending point, a plurality of maximum points and a plurality of minimum points successively included in the energy fluctuation curve are detected in real time, and the instantaneous peak energy is extracted in real time according to the plurality of maximum points and the plurality of minimum points.

4. The vehicle braking energy recovery method according to claim 3, characterized in that: The step of extracting the instantaneous peak energy in real time according to the plurality of maximum points and the plurality of minimum points includes: When the plurality of maximum points and the plurality of minimum points are respectively obtained, a corresponding target identifier is added to each of the maximum points and each of the minimum points; In the direction from the starting point to the ending point, a target difference generated between two adjacent maximum points and minimum points is calculated in real time according to the target identifier, and each target difference is set as the instantaneous peak energy.

5. The vehicle braking energy recovery method according to claim 1, characterized in that: The step of generating an energy transmission strategy adapted to the braking recovery energy in real time by a preset PID controller according to the instantaneous peak energy and a preset fuzzy logic algorithm includes: When the instantaneous peak energy is obtained in real time, an initial control network included inside the preset PID controller is detected in real time; A full scan is performed on the initial control network to detect a plurality of initial control nodes included in the initial control network in real time, and the instantaneous peak energy and each initial control node are subjected to fusion processing by the preset fuzzy logic algorithm to output the energy transmission strategy correspondingly.

6. The vehicle braking energy recovery method according to claim 5, characterized in that: The step of subjecting the instantaneous peak energy and each initial control node to fusion processing by the preset fuzzy logic algorithm to output the energy transmission strategy correspondingly includes: When each of the initial control nodes is detected in real time, the initial control parameters respectively included in each of the initial control nodes are detected in real time; Each of the instantaneous peak energies is respectively converted into a corresponding target control parameter by the preset fuzzy logic algorithm, and the energy transmission strategy is output corresponding to the target control parameter and the initial control node.

7. The vehicle braking energy recovery method according to claim 6, characterized in that: The step of outputting the energy transmission strategy corresponding to the target control parameter and the initial control node includes: When each of the target control parameters is obtained in real time, the initial control parameters in each of the initial control nodes are replaced one by one with each of the target control parameters to form a corresponding target control network in the PID controller in real time; The corresponding target control strategy is output in real time through the target control network, and the target control strategy is correspondingly set as the energy transmission strategy.

8. A vehicle braking energy recovery system, characterized in that, The system includes: An acquisition module, configured to, when it is detected in real time by a preset sensor array that the vehicle is in a braking state, acquire in real time the braking recovery energy generated during the braking process of the vehicle by a preset supercapacitor inside the vehicle; An extraction module, configured to extract in real time the corresponding instantaneous peak energy from the braking recovery energy, and generate in real time an energy transmission strategy adapted to the braking recovery energy according to the instantaneous peak energy and a preset fuzzy logic algorithm by a preset PID controller; A transmission module, configured to transmit the braking recovery energy to a preset flywheel energy storage module corresponding to the energy transmission strategy, and charge a battery pack inside the vehicle through the preset flywheel energy storage module.

9. A computer, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, the vehicle braking energy recovery method according to any one of claims 1 to 7 is implemented.

10. A readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, the vehicle braking energy recovery method according to any one of claims 1 to 7 is implemented.

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