Control method and device of micro gas turbine, storage medium and electronic device

Abstract

The invention provides a control method and device of a micro gas turbine, a storage medium, an electronic device and a controller applied to the micro gas turbine, and the method comprises the steps that vehicle state parameters of an accessed vehicle are collected, and turbine state parameters of the micro gas turbine are collected, the micro gas turbine is inserted into the access vehicle in a portable manner; selecting a target control mode of the micro gas turbine according to the vehicle state parameters and the turbine state parameters; and the target control mode is adopted to control the oil injection state of the micro gas turbine in the current control period. Through the embodiment, the micro-gas turbine can perform energy self-management and autonomously decide start-stop and control modes, and the technical problem that in the prior art, the matching degree between the power output of a range extender and the power requirement of a vehicle under the actual driving working condition is low is solved.

Description

Technical Field

[0001] This invention relates to the field of vehicle technology, and more specifically, to a control method and apparatus, storage medium, and electronic device for a micro gas turbine. Background Technology

[0002] In related technologies, with the adjustment of the global energy structure and the increasing awareness of environmental protection, electric vehicles, due to their zero emissions and high efficiency, have gradually become the mainstream development direction of the automotive industry. However, short driving range and long charging time have become major bottlenecks restricting their widespread application. To solve this problem, existing electric vehicle range extender solutions mostly use a small internal combustion engine as a generator, effectively extending the vehicle's driving range. However, these internal combustion engine-based range extenders have certain limitations in terms of efficiency, reliability, size, and cost. In recent years, micro gas turbines, due to their compact structure, high power density, strong fuel adaptability, stable operation, and clean emissions, have been gradually introduced as a range-extending power source for electric vehicles.

[0003] Despite the numerous potential advantages of micro gas turbines, existing micro gas turbine range extender control systems still exhibit several shortcomings in practical applications. These mainly include: low energy matching efficiency, where the vehicle automatically switches its power source to the range extender when the battery is depleted, resulting in a low degree of matching between the range extender's power output and the vehicle's power demand under actual driving conditions. Under low load or variable operating conditions, the gas turbine often operates in inefficient regions, leading to low overall energy utilization efficiency and failing to fully realize its technological advantages. Insufficient fuel adaptability: most existing control systems are optimized for specific types of fuel, lacking universal control strategies for different fuels (such as gasoline, diesel, biofuels, etc.) and their mixtures. When fuel characteristics change, the system often fails to adapt adaptively, leading to performance degradation or excessive emissions.

[0004] No efficient and accurate solution has yet been found to address the aforementioned issues in the relevant technologies. Summary of the Invention

[0005] This invention provides a control method and apparatus for a micro gas turbine, a storage medium, and electronic devices to solve technical problems in related technologies.

[0006] According to an embodiment of the present invention, a control method for a micro gas turbine is provided, applied to a controller of the micro gas turbine, comprising: acquiring vehicle status parameters of an access vehicle and acquiring turbine status parameters of the micro gas turbine, wherein the micro gas turbine is portablely inserted into the access vehicle; selecting a target control mode for the micro gas turbine based on the vehicle status parameters and the turbine status parameters; and controlling the fuel injection state of the micro gas turbine in the current control cycle using the target control mode.

[0007] Optionally, selecting the target control mode of the micro gas turbine based on the vehicle state parameters and the turbine state parameters includes: determining whether the vehicle state parameters are greater than a preset threshold, wherein the vehicle state parameters include vehicle speed; if the vehicle state parameters are greater than the preset threshold, determining whether the change amplitude of the turbine state parameters within a preset time window is less than a preset steady-state threshold, wherein the turbine state parameters include starter motor torque, turbine speed, and turbine inlet temperature; if the change amplitude of the turbine state parameters within the preset time window is less than the preset steady-state threshold, selecting the target control mode of the micro gas turbine as an adaptive control mode.

[0008] Optionally, after determining whether the change in the turbine state parameters within a preset time window is less than a preset steady-state threshold, the method further includes: if the change in the turbine state parameters within the preset time window is greater than or equal to the preset steady-state threshold, obtaining the vehicle torque request of the connected vehicle and the generator power generation efficiency; calculating the required fuel quantity of the micro gas turbine in the current control cycle using the vehicle torque request and the generator power generation efficiency; determining whether the required fuel quantity is greater than the minimum calibrated fuel quantity of the micro gas turbine, wherein the minimum calibrated fuel quantity is the minimum fuel quantity required for the micro gas turbine to maintain combustion; if the required fuel quantity is greater than the minimum calibrated fuel quantity of the micro gas turbine, selecting the target control mode of the micro gas turbine as an open-loop control mode; if the required fuel quantity is less than or equal to the minimum calibrated fuel quantity of the micro gas turbine, selecting the target control mode of the micro gas turbine as a shutdown mode.

[0009] Optionally, if the target control mode is an adaptive control mode, controlling the operating state of the micro gas turbine using the target control mode includes: reading the actual output torque and actual driving parameters from the vehicle state parameters, wherein the actual driving parameters include the power demand of the connected vehicle, the remaining battery charge, and the vehicle speed; searching for a target output torque that matches the actual driving parameters in a preset mapping table; calculating the real-time torque error of the connected vehicle based on the actual output torque and the target output torque; and generating an injection pulse width command for the micro gas turbine based on the real-time torque error.

[0010] Optionally, generating the injection pulse width command for the micro gas turbine based on the real-time torque error includes: obtaining the proportional gain coefficient, integral gain coefficient, and derivative gain coefficient of the PID control loop, and obtaining the historical integral term and historical torque error of the PID control loop in the previous control cycle; determining whether the real-time torque error is greater than the error freeze threshold of the integral term; if the real-time torque error is greater than the error freeze threshold of the integral term, calculating the PID adjustment S1 of the PID control loop in the current control cycle using the following formula: If the real-time torque error is less than or equal to the error freeze threshold of the integral term, the PID adjustment S2 of the PID control loop in the current control cycle is calculated using the following formula: ,in, , These are the weighting coefficients for the proportional term, integral term, and differential term, respectively. , , These are the gain coefficients for the proportional, integral, and differential terms, respectively. This refers to the real-time torque error. It is the historical integral term mentioned above. The historical torque error is used; the PID regulation is limited based on a preset safety range to obtain a limited regulation; the limited regulation is superimposed on the basic injection pulse width of the micro gas turbine to generate the injection pulse width command of the micro gas turbine in the current control cycle.

[0011] Optionally, if the target control mode is an adaptive control mode, controlling the operating state of the micro gas turbine using the target control mode includes: using an extended state observer to estimate the state variables and total disturbance variables of the micro gas turbine in real time; compensating the total disturbance variable in the control law of active disturbance rejection control to obtain a compensated control variable; calculating the total control variable using the compensated control variable and the state variables in the control law of active disturbance rejection control; and outputting the fuel injection quantity of the micro gas turbine in the current control cycle based on the total control variable.

[0012] Optionally, if the target control mode is an open-loop control mode, controlling the operating state of the micro gas turbine using the target control mode includes: obtaining the pre-calibrated power demand of the access vehicle; using a preset pulse spectrum to find the injection parameters that match the power demand, wherein the injection parameters include the injection quantity and the injection pulse width; and controlling the injection state of the micro gas turbine in the current control cycle based on the injection parameters.

[0013] Optionally, before controlling the micro gas turbine's injection state in the current control cycle using the target control mode, the method further includes: acquiring a fuel selection command input by the vehicle-to-everything (V2X) system of the connected vehicle, or acquiring sensor data from the fuel sensor of the micro gas turbine, wherein the fuel selection command is used to indicate the fuel type currently used by the micro gas turbine; identifying the target fuel type currently used by the micro gas turbine based on the fuel selection command or the sensor data; configuring control parameters of the micro gas turbine based on the target fuel type, wherein the control parameters include at least one of the following: starting injection quantity, basic injection pulse width, ignition timing, number of ignition plugs activated, and air-fuel ratio.

[0014] Optionally, after configuring the control parameters of the micro gas turbine based on the target fuel type, the method further includes: collecting external environmental parameters of the micro gas turbine, wherein the external environmental parameters include ambient temperature and altitude; and adjusting the control parameters based on the ambient temperature and the altitude.

[0015] According to another embodiment of the present invention, a control device for a micro gas turbine is provided, applied to a controller of a micro gas turbine, comprising: a data acquisition module for acquiring vehicle status parameters of an access vehicle and turbine status parameters of the micro gas turbine, wherein the micro gas turbine is portablely inserted into the access vehicle; a selection module for selecting a target control mode of the micro gas turbine based on the vehicle status parameters and the turbine status parameters; and a control module for controlling the fuel injection state of the micro gas turbine in the current control cycle using the target control mode.

[0016] Optionally, the selection module includes: a first judgment unit, used to judge whether the vehicle state parameter is greater than a preset threshold, wherein the vehicle state parameter includes vehicle speed; a second judgment unit, used to, if the vehicle state parameter is greater than the preset threshold, judge whether the change amplitude of the turbine state parameter within a preset time window is less than a preset steady-state threshold, wherein the turbine state parameter includes starter motor torque, turbine speed, and turbine inlet temperature; and a first selection unit, used to, if the change amplitude of the turbine state parameter within the preset time window is less than the preset steady-state threshold, select the target control mode of the micro gas turbine as an adaptive control mode.

[0017] Optionally, the selection module further includes: an acquisition unit, configured to acquire the vehicle torque request of the connected vehicle and the generator power generation efficiency if the change amplitude of the turbine state parameters within the preset time window is greater than or equal to the preset steady-state threshold after the second judgment unit determines whether the change amplitude of the turbine state parameters within the preset time window is less than the preset steady-state threshold; a calculation unit, configured to calculate the required fuel quantity of the micro gas turbine in the current control cycle using the vehicle torque request and the power generation efficiency; a third judgment unit, configured to determine whether the required fuel quantity is greater than the minimum calibrated fuel quantity of the micro gas turbine, wherein the minimum calibrated fuel quantity is the minimum fuel quantity required for the micro gas turbine to maintain combustion; and a second selection unit, configured to select the target control mode of the micro gas turbine as an open-loop control mode if the required fuel quantity is greater than the minimum calibrated fuel quantity of the micro gas turbine, and select the target control mode of the micro gas turbine as a shutdown mode if the required fuel quantity is less than or equal to the minimum calibrated fuel quantity of the micro gas turbine.

[0018] Optionally, if the target control mode is an adaptive control mode, the control module includes: a reading unit for reading the actual output torque and actual driving parameters from the vehicle state parameters, wherein the actual driving parameters include the required power of the connected vehicle, the remaining battery power, and the vehicle speed; a search unit for searching for a target output torque that matches the actual driving parameters in a preset mapping table; a calculation unit for calculating the real-time torque error of the connected vehicle based on the actual output torque and the target output torque; and a generation unit for generating the injection pulse width command of the micro gas turbine based on the real-time torque error.

[0019] Optionally, the generation unit includes: an acquisition subunit, used to acquire the proportional gain coefficient, integral gain coefficient, and derivative gain coefficient of the PID control loop, and to acquire the historical integral term and historical torque error of the PID control loop in the previous control cycle; a judgment subunit, used to determine whether the real-time torque error is greater than the error freeze threshold of the integral term; and a calculation subunit, used to calculate the PID adjustment S1 of the PID control loop in the current control cycle using the following formula if the real-time torque error is greater than the error freeze threshold of the integral term: If the real-time torque error is less than or equal to the error freeze threshold of the integral term, the PID adjustment S2 of the PID control loop in the current control cycle is calculated using the following formula: ,in, , These are the weighting coefficients for the proportional term, integral term, and differential term, respectively. , , These are the gain coefficients for the proportional, integral, and differential terms, respectively. This refers to the real-time torque error. It is the historical integral term mentioned above. The historical torque error is defined as follows: a limiting subunit is used to limit the PID regulation amount based on a preset safety range to obtain a limited regulation amount; a generation subunit is used to superimpose the limited regulation amount with the basic injection pulse width of the micro gas turbine to generate the injection pulse width command of the micro gas turbine in the current control cycle.

[0020] Optionally, if the target control mode is an adaptive control mode, the control module includes: an estimation unit, used to estimate the state variables and total disturbance variables of the micro gas turbine in real time using an extended state observer; a compensation unit, used to compensate the total disturbance variable in the control law of active disturbance rejection control to obtain a compensated control variable; a calculation unit, used to calculate the total control variable using the compensated control variable and the state variables in the control law of active disturbance rejection control; and an output unit, used to output the fuel injection quantity of the micro gas turbine in the current control cycle based on the total control variable.

[0021] Optionally, if the target control mode is an open-loop control mode, the control module includes: an acquisition unit for acquiring the pre-calibrated power demand of the access vehicle; a search unit for searching for injection parameters that match the power demand using a preset pulse spectrum, wherein the injection parameters include injection quantity and injection pulse width; and a control unit for controlling the injection state of the micro gas turbine in the current control cycle based on the injection parameters.

[0022] Optionally, the device further includes: an acquisition module, configured to acquire a fuel selection command input by the vehicle-to-everything (V2X) system connected to the vehicle, or acquire sensor data from the fuel sensor of the micro gas turbine, before the control module controls the micro gas turbine in the injection state of the current control cycle using the target control mode, wherein the fuel selection command is used to indicate the fuel type currently used by the micro gas turbine; an identification module, configured to identify the target fuel type currently used by the micro gas turbine based on the fuel selection command or the sensor data; and a configuration module, configured to configure the control parameters of the micro gas turbine based on the target fuel type, wherein the control parameters include at least one of the following: starting injection quantity, basic injection pulse width, ignition timing, number of ignition plugs activated, and air-fuel ratio.

[0023] Optionally, the device further includes: a data acquisition module, configured to acquire external environmental parameters of the micro gas turbine after the configuration module configures the control parameters of the micro gas turbine based on the target fuel type, wherein the external environmental parameters include ambient temperature and altitude; and an adjustment module, configured to adjust the control parameters based on the ambient temperature and the altitude.

[0024] According to another aspect of the embodiments of this application, a storage medium is also provided, the storage medium including a stored program that executes the above steps when the program is run.

[0025] According to another aspect of the embodiments of this application, an electronic device is also provided, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; wherein: the memory is used to store computer programs; and the processor is used to execute the steps in the above method by running the programs stored in the memory.

[0026] This application also provides a computer program product containing instructions that, when run on a computer, cause the computer to perform the steps in the above-described method.

[0027] The beneficial effects of this invention are: 1. The range extender of the micro gas turbine adopts a modular design, supports quick installation and disassembly, and is suitable for various electric vehicle platforms, achieving rapid integration and flexibility. The micro gas turbine controller obtains vehicle status parameters and turbine status parameters, and selects an algorithm autonomously. Without the intervention of the vehicle's overall controller, the micro gas turbine can perform energy self-management and autonomously determine the start-up and shutdown logic. 2. By flexibly configuring the micro gas turbine, the controller identifies the fuel type and combines it with the current operating environment data (such as temperature and altitude) to automatically correct and optimize the control parameters (such as injection pulse width, ignition timing, air-fuel ratio, etc.), which greatly enhances the range extender's adaptability to various single fuels and mixed fuels, enabling it to maintain excellent performance in different regions and climates around the world. 3. By selecting a matching target control mode for the micro gas turbine and employing a variety of matching control algorithms and energy management systems, efficient coordination between the range extender and the vehicle can be achieved. This enables high-precision dynamic matching between the range extender's power output and the vehicle's actual needs. The micro gas turbine can quickly respond to changes in the driver's torque demand and always keep the gas turbine near its efficient operating point, thereby significantly improving the overall energy utilization efficiency and driving experience of the vehicle. Attached Figure Description

[0028] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings: Figure 1 This is a hardware structure block diagram of a controller according to an embodiment of the present invention; Figure 2This is a flowchart of a control method for a micro gas turbine according to an embodiment of the present invention; Figure 3 This is an overall architecture diagram of the range extender control system in an embodiment of the present invention; Figure 4 This is a control flowchart of an embodiment of the present invention; Figure 5 This is a schematic diagram of the controller of the micro gas turbine according to an embodiment of the present invention; Figure 6 This is a structural block diagram of a control device for a micro gas turbine according to an embodiment of the present invention. Detailed Implementation

[0029] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, and not all of them. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present application. It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of the present application can be combined with each other.

[0030] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0031] Example 1 The method embodiment provided in Embodiment 1 of this application can be executed in a vehicle, controller, processor, micro gas turbine, or similar processing device. Taking its operation on a controller as an example, Figure 1 This is a hardware structure block diagram of a controller according to an embodiment of the present invention. Figure 1 As shown, the controller may include one or more ( Figure 1Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data are also shown. Optionally, the controller may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the controller described above. For example, the controller may also include a ratio Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0032] The memory 104 can be used to store controller programs, such as application software programs and modules, like the controller program corresponding to the control method of a micro gas turbine in an embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the controller program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the controller via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0033] The transmission device 106 is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by the controller's communication provider. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 may be a Radio Frequency (RF) module used for wireless communication with the Internet.

[0034] This embodiment provides a control method for a micro gas turbine, applied to the controller of a micro gas turbine. Figure 2 This is a flowchart of a control method for a micro gas turbine according to an embodiment of the present invention, such as... Figure 2 As shown, the process includes the following steps: Step S201: Collect vehicle status parameters of the access vehicle and turbine status parameters of the micro gas turbine, wherein the micro gas turbine is portablely inserted into the access vehicle; In this embodiment, the micro gas turbine (hereinafter referred to as the micro turbine) serves as a range extender (power bank) connected to the vehicle. Vehicle status parameters include vehicle operating status information and power system parameters. Vehicle operating status information includes real-time acquisition of pedal signals (reflecting driver intent), fuel tank level signals, vehicle speed signals, and battery remaining charge (SOC). Power system parameters include measured motor torque and actual motor speed; these parameters directly reflect the vehicle's current power demand and operating status. Regarding the processing of the vehicle speed signal, it is prone to severe fluctuations when the vehicle travels on bumpy roads, affecting the stability of the control strategy. Therefore, the system can choose to use Kalman filtering or a conventional first-order low-pass filter to process the vehicle speed signal. Preferably, Kalman filtering can be selected, as it can better estimate the signal optimally based on the system model and noise statistics, thereby effectively enhancing the stability of the vehicle speed signal when driving on bumpy roads and providing more accurate input for subsequent control decisions.

[0035] Turbine condition parameters, also known as range extender condition parameters, include turbine inlet temperature, which are key indicators for monitoring the thermal load and operational safety of gas turbines.

[0036] In addition, environmental parameters of the micro gas turbine can be collected, including ambient temperature and altitude. These parameters significantly affect the combustion efficiency, intake air density, and thermal management of the gas turbine, serving as the basis for environmental correction. Control and safety commands / status: KL15 power-on status (vehicle ignition lock signal), forced start command (receiving special commands from the vehicle screen soft switch or diagnostic tool), high-voltage battery ready status (indicating that the high-voltage system is ready to receive or output energy). Fault monitoring signals: Real-time monitoring and reception of fault signals from key subsystems such as the electric drive system, electronic oil pump, and electronic fuel pump, providing input for fault diagnosis and safety protection strategies.

[0037] The solution in this embodiment can also perform fault monitoring and classification processing for micro gas turbines. By analyzing the rationality of signals on the CAN bus, DIO (Digital Input / Output) levels, internal sensor readings, etc., it can realize real-time monitoring of various faults such as electric drive faults, electronic oil pump faults, and electronic fuel pump faults.

[0038] Based on the severity of the fault, they are categorized into information level, warning level, and critical level. For non-fatal information level and warning level faults, the system can adopt a strategy of gradually reducing power output instead of immediately shutting down, thus protecting the hardware while ensuring the vehicle's basic driving capability. For critical level fatal faults (such as high temperature caused by insufficient engine oil, or abnormally high temperature), the controller will immediately execute a safety shutdown sequence, cut off fuel and ignition, and implement turbocharger after-running to protect the range extender, while recording fault codes (DTCs).

[0039] Step S202: Select the target control mode of the micro gas turbine based on the vehicle status parameters and the turbine status parameters; The target control modes selectable for the micro gas turbine in this embodiment include adaptive control mode, open-loop control mode, and shutdown mode. The adaptive control mode is also a closed-loop control mode.

[0040] Step S203: Use the target control mode to control the fuel injection state of the micro gas turbine in the current control cycle.

[0041] The injection status in this embodiment is used to characterize whether the micro gas turbine injects fuel in the current control cycle, as well as the injection parameters (injection pulse width and injection quantity).

[0042] Through the above steps, vehicle status parameters of the connected vehicle and turbine status parameters of the micro gas turbine are collected, wherein the micro gas turbine is portablely inserted into the connected vehicle; a target control mode for the micro gas turbine is selected based on the vehicle status parameters and the turbine status parameters; the fuel injection state of the micro gas turbine in the current control cycle is controlled using the target control mode. The range extender of the micro gas turbine adopts a modular design, supports rapid installation and disassembly, and is suitable for various electric vehicle platforms, achieving rapid integration and flexibility. The micro gas turbine controller, by acquiring vehicle status parameters and turbine status parameters, and through an autonomous selection algorithm, allows the micro gas turbine to perform energy self-management without the intervention of the vehicle's overall controller, autonomously determining start-stop and control modes. This solves the technical problem of low matching degree between the power output of the range extender and the power demand of the vehicle under actual driving conditions in the prior art.

[0043] In one embodiment of this example, selecting the target control mode of the micro gas turbine based on the vehicle state parameters and the turbine state parameters includes: determining whether the vehicle state parameters are greater than a preset threshold, wherein the vehicle state parameters include vehicle speed; if the vehicle state parameters are greater than the preset threshold, determining whether the change amplitude of the turbine state parameters within a preset time window is less than a preset steady-state threshold, wherein the turbine state parameters include starter motor torque, turbine speed, and turbine inlet temperature; if the change amplitude of the turbine state parameters within the preset time window is less than the preset steady-state threshold, selecting the target control mode of the micro gas turbine as an adaptive control mode.

[0044] In one example of the above implementation, after determining whether the change in the turbine state parameters within a preset time window is less than a preset steady-state threshold, the method further includes: if the change in the turbine state parameters within the preset time window is greater than or equal to the preset steady-state threshold, obtaining the vehicle torque request of the connected vehicle and the generator power generation efficiency; calculating the required fuel quantity of the micro gas turbine in the current control cycle using the vehicle torque request and the generator power generation efficiency; determining whether the required fuel quantity is greater than the minimum calibrated fuel quantity of the micro gas turbine, wherein the minimum calibrated fuel quantity is the minimum amount of fuel required for the micro gas turbine to maintain combustion; if the required fuel quantity is greater than the minimum calibrated fuel quantity of the micro gas turbine, selecting the target control mode of the micro gas turbine as an open-loop control mode; if the required fuel quantity is less than or equal to the minimum calibrated fuel quantity of the micro gas turbine, selecting the target control mode of the micro gas turbine as a shutdown mode.

[0045] The minimum calibrated fuel quantity in this embodiment is a key calibrable parameter, the value of which is determined based on the physical characteristics of the fuel injector and the boundary of stable low-load engine operation.

[0046] This implementation presents a flexible multi-mode switching mechanism that automatically selects the optimal target control mode based on different operating conditions. This design balances the system's performance, efficiency, and safety under various operating conditions.

[0047] Adaptive control mode: When the system monitors and determines that the operating conditions have reached a steady state, that is, when the key parameters such as the speed, torque, and temperature of the range extender (micro gas turbine) remain stable within a certain tolerance range, the controller will enter this mode. Adaptive control aims to achieve refined closed-loop control, enabling the system output to accurately follow the target value.

[0048] Open-loop control mode: When steady-state conditions are not met, such as during transient conditions like acceleration or deceleration, but the fuel demand calculated by the system is greater than the minimum fuel quantity required to maintain stable combustion, the controller will enter open-loop control mode.

[0049] Shutdown Mode: When none of the above conditions for entering adaptive or open-loop mode are met, such as when the driver has no power requirement and the system meets the shutdown conditions, the controller will enter shutdown mode. In this mode, to ensure safety and stop combustion, the controller will directly set the fuel injection quantity and fuel injection pulse width to 0, cutting off the fuel supply.

[0050] At the software level, the control mode selection logic is a finite state machine (FSM), whose switching conditions are periodically determined by the main control loop: Steady-state condition judgment: The software algorithm continuously monitors the rate of change and amplitude of multiple parameters, such as generator torque, turbine speed, and turbine inlet temperature. If, within a preset time window (e.g., 500ms), the fluctuations of these key parameters are all less than their respective set steady-state thresholds, the system is determined to have entered a steady-state state. If the steady-state condition is met, the state machine switches to adaptive control mode. In this mode, a calibrable flag (e.g., use_adrc_flag) determines whether to call the PID (Proportional-Integral-Derivative) sub-function or the ADRC (Active Disturbance Rejection Control) sub-function. If the steady-state condition is not met, the required fuel quantity is further determined. This required quantity is calculated from the vehicle torque request and generator efficiency. If the required fuel quantity > the calibrable minimum fuel quantity, the state machine switches to open-loop control mode. If the required fuel quantity <= the minimum fuel quantity, and the steady-state condition is not met, the state machine switches to shutdown mode.

[0051] Optional adaptive control modes include PID control mode with integral freeze function and active disturbance rejection control (ADRC) mode.

[0052] In one implementation scenario of this embodiment, if the target control mode is an adaptive control mode, controlling the operating state of the micro gas turbine using the target control mode includes: reading the actual output torque and actual driving parameters from the vehicle state parameters, wherein the actual driving parameters include the power demand of the connected vehicle, the remaining battery charge, and the vehicle speed; searching for a target output torque that matches the actual driving parameters in a preset mapping table; calculating the real-time torque error of the connected vehicle based on the actual output torque and the target output torque; and generating an injection pulse width command for the micro gas turbine based on the real-time torque error.

[0053] This embodiment optimizes the classic PID control mode to improve steady-state control accuracy and robustness. The implementation process is as follows: Feedback signal acquisition: The actual output torque from the generator system is acquired at a very high frequency (synchronized with the control cycle) via the vehicle's CAN network; Target value determination: Based on the vehicle's current power demand, battery SOC, vehicle speed, and other comprehensive operating conditions, the target torque that the generator should output under this steady-state condition is determined by looking up a table (e.g., based on a MAP chart); Error calculation: The torque error is calculated using the formula: error = target torque - actual torque. The PID controller is then adjusted based on this error.

[0054] Optionally, generating the injection pulse width command for the micro gas turbine based on the real-time torque error includes: obtaining the proportional gain coefficient, integral gain coefficient, and derivative gain coefficient of the PID control loop, and obtaining the historical integral term and historical torque error of the PID control loop in the previous control cycle; determining whether the real-time torque error is greater than the error freeze threshold of the integral term; if the real-time torque error is greater than the error freeze threshold of the integral term, calculating the PID adjustment S1 of the PID control loop in the current control cycle using the following formula: If the real-time torque error is less than or equal to the error freeze threshold of the integral term, the PID adjustment S2 of the PID control loop in the current control cycle is calculated using the following formula: ,in, , These are the weighting coefficients for the proportional term, integral term, and differential term, respectively. , , These are the gain coefficients for the proportional, integral, and differential terms, respectively. This refers to the real-time torque error. It is the historical integral term mentioned above. The historical torque error is used; the PID regulation is limited based on a preset safety range to obtain a limited regulation; the limited regulation is superimposed on the basic injection pulse width of the micro gas turbine to generate the injection pulse width command of the micro gas turbine in the current control cycle.

[0055] The PID control loop in this embodiment includes a proportional term (P term), an integral term (I term), and a derivative term (D term).

[0056] The proportional term (P term) is calculated as P_out = , The gain factor determines the strength of the controller's response to the current error.

[0057] Integral term (I term): Calculated by accumulating the error: I_out = , To eliminate steady-state error, and to prevent integral saturation or overlearning when there are small error fluctuations, an integral freezing is introduced. An error freezing threshold region is set. When the absolute value of error enters this very small region, the I term stops accumulating (i.e., freezes) and keeps the current value unchanged.

[0058] Differential term (D term): Calculated as D_out = , This term reflects the changing trend of the error, has a predictive effect, can suppress oscillations, and accelerate the system response.

[0059] The outputs of the P, I, and D terms are weighted and summed based on pre-set weighting coefficients to obtain a total fuel PID adjustment. To prevent this adjustment from becoming too large and causing system instability, it needs to be limited to a safe and effective range, resulting in a limited adjustment. The limited fuel PID term (limited adjustment) is then superimposed on the basic injection pulse width to form the final injection pulse width command. This command directly acts on the fuel injection system, dynamically influencing the engine's output torque to bring it closer to the target torque. The entire PID control loop calculation and output process is performed continuously with a 10ms cycle to ensure real-time and continuous control.

[0060] In one implementation scenario of this embodiment, if the target control mode is an adaptive control mode, controlling the operating state of the micro gas turbine using the target control mode includes: using an extended state observer to estimate the state variables and total disturbance variables of the micro gas turbine in real time; compensating the total disturbance variables in the active disturbance rejection control (ADRC) control law to obtain a compensated control variable; calculating the total control variable using the compensated control variable and the state variables in the ADRC control law; and outputting the fuel injection quantity of the micro gas turbine in the current control cycle based on the total control variable.

[0061] Active disturbance rejection control (ADRC) is another more advanced and robust adaptive control option provided in this embodiment. ADRC is an advanced control strategy in modern control theory that can effectively handle internal disturbances (such as model parameter variations) and external disturbances (such as load abrupt changes and environmental disturbances) of the controlled object. Compared with traditional PID control, ADRC exhibits superior performance in handling nonlinear, time-varying, uncertain systems and complex disturbances. Its core idea is to treat all uncertainties within the system (including model uncertainties, external disturbances, and parameter perturbations) as a single "total disturbance," and to estimate this total disturbance in real time using an extended state observer, then actively compensate for it in the control law. Through this estimation and compensation, ADRC approximates the complex and uncertain controlled object into a simple integral-series system, thereby greatly enhancing the robustness and adaptability of the control system and improving its control performance. In the application of this embodiment, ADRC can effectively cope with disturbances caused by changes in vehicle load, altitude and temperature, and fuel characteristic fluctuations, maintaining stable and efficient energy output from the gas turbine.

[0062] At the software level of ADRC control, this includes the discretization implementation of ESO, control law implementation, and parameter tuning. Discretization of ESO: ESO is a dynamic system and needs to be designed as a discretized state observer. In the ECU, it is recursively calculated with a fixed control cycle (e.g., 1ms or 10ms) to estimate the various states and total disturbances of the system in real time. Control law implementation: The control law also uses a discretized formula, calculating the final control quantity (fuel quantity) based on the transient process arranged by the tracking differentiator, the states estimated by ESO, and the disturbances. Parameter tuning: ADRC parameters (such as controller bandwidth, observer bandwidth, etc.) need to be finely tuned through simulation and bench testing to balance the system's response speed and robustness.

[0063] This embodiment employs advanced adaptive control algorithms (such as PID or ADRC with integral freeze) under steady-state conditions to achieve high-precision dynamic matching between the range extender's power output and the vehicle's actual needs. The system can quickly respond to changes in the driver's torque demand and always keep the gas turbine near its efficient operating point, thereby significantly improving the vehicle's energy efficiency and driving experience.

[0064] In one implementation scenario of this embodiment, if the target control mode is an open-loop control mode, controlling the operating state of the micro gas turbine using the target control mode includes: obtaining the pre-calibrated power demand of the access vehicle; using a preset pulse spectrum to find the injection parameters that match the power demand, wherein the injection parameters include the injection quantity and the injection pulse width; and controlling the injection state of the micro gas turbine in the current control cycle based on the injection parameters.

[0065] In open-loop control mode, the controller directly outputs the injection quantity and injection pulse width based on the preset pulse spectrum or the calculation formula based on the current requirements. The response is rapid, but the control accuracy is relatively low compared to closed-loop. It can quickly meet the dynamic requirements of micro gas turbines in non-steady-state conditions.

[0066] In one embodiment of this example, before controlling the micro gas turbine's injection state in the current control cycle using the target control mode, the method further includes: acquiring a fuel selection command input from the vehicle-to-everything (V2X) system connected to the vehicle, or acquiring sensor data from the fuel sensor of the micro gas turbine, wherein the fuel selection command is used to indicate the fuel type currently used by the micro gas turbine; identifying the target fuel type currently used by the micro gas turbine based on the fuel selection command or the sensor data; configuring control parameters for the micro gas turbine based on the target fuel type, wherein the control parameters include at least one of the following: starting injection quantity, basic injection pulse width, ignition timing, number of ignition plugs activated, and air-fuel ratio.

[0067] Optionally, after configuring the control parameters of the micro gas turbine based on the target fuel type, the method further includes: collecting external environmental parameters of the micro gas turbine, wherein the external environmental parameters include ambient temperature and altitude; and adjusting the control parameters based on the ambient temperature and the altitude.

[0068] The micro gas turbine in this embodiment can operate on a variety of fuels. The controller can identify the fuel type based on user-inputted fuel type information or sensor data, and automatically correct and optimize control parameters (such as injection pulse width, ignition timing, air-fuel ratio, etc.) in conjunction with current operating environment data (such as temperature and altitude). This strategy greatly enhances the range extender's adaptability to various single and mixed fuels, enabling it to maintain excellent performance in different regions and climates around the world.

[0069] The controller ECU stores a modified MAP based on temperature and altitude. For example, when an increase in ambient temperature is detected, the ECU will appropriately reduce the amount of fuel injected at startup or adjust the number of ignition plugs to save fuel; when an increase in altitude is detected that causes a decrease in intake air density, the ECU will adjust the amount of fuel injected accordingly to maintain the target air-fuel ratio.

[0070] Users can select the current fuel type (such as gasoline, kerosene, diesel, etc.) through the vehicle's human-machine interface (HMI), and this information is sent to the range extender ECU via CAN. Based on this information, the ECU calls the corresponding fuel calibration parameter set pre-stored in the EEPROM to achieve a complete switch of fuel injection, ignition, and other strategies, ensuring that the system can still achieve optimal performance and minimum emissions after changing fuel.

[0071] Figure 3 This is an overall architecture diagram of the range extender control system in this embodiment of the invention, including a sensor layer, a control layer, an execution layer, and a communication layer. The sensor layer contains various sensors distributed throughout the vehicle and range extender (including speed sensors, torque sensors, temperature sensors, and pressure sensors), responsible for collecting all physical signals such as vehicle operating status information, powertrain parameters, environmental parameters, range extender status parameters, control and safety commands / status, and fault monitoring signals. The control layer, centered on the onboard ECU (controller of the micro gas turbine), runs all control software, realizing signal processing, mode decision-making, adaptive calculation, and fault diagnosis. The execution layer contains actuators directly or indirectly driven by the ECU, including electronic fuel pumps, electronic oil pumps, injectors, and ignition systems, receiving commands from the control layer and executing physical actions. The communication layer interconnects the range extender control system with other vehicle domain controllers such as the vehicle control unit (VCU), battery management system (BMS), and motor controller (MCU) via CAN and LIN buses, enabling information sharing and collaborative control.

[0072] Figure 4 This is a control flowchart of an embodiment of the present invention, showing how the system switches between three modes—adaptive, open-loop, and shutdown—based on steady-state conditions and fuel demand. It also demonstrates two control sub-strategies (PID and ADRC) within the adaptive mode, including: acquiring the system operating state; determining whether steady-state conditions have been met; if so, selecting the control mode; if PID control is executed, performing the following: acquiring the actual generator torque via CAN, querying the target torque, calculating the torque error, applying coefficients to the P, I, and D terms respectively, performing I-term integral freezing judgment, processing the upper and lower limits of the fuel PID term, and updating the injection pulse width; if ADRC control is executed, performing the following: estimating the total disturbance using the extended state observer (ESO), compensating for system dynamics online, outputting control quantities to the injection system, and finally dynamically influencing the torque output; if not, determining whether the required fuel quantity is greater than the minimum fuel quantity; if not, assigning the injection quantity and injection pulse width to 0; if so, entering the open-loop control mode, outputting the injection quantity and injection pulse width according to the required fuel quantity. The entire system executes a control cycle every 10ms.

[0073] Figure 5 This is a schematic diagram of the controller for the micro gas turbine according to an embodiment of the present invention. The controller of the micro gas turbine is an ECU, demonstrating how the ECU works collaboratively through a signal acquisition module, a control decision module, and an execution drive module. The diagram also depicts the hardware architecture based on the Infineon 367 chip, and how each functional module interacts with other external controllers via CAN / LIN interfaces. The core processor can be the Infineon TC3xx series 367 chip. This is a high-performance microcontroller (MCU) specifically designed for automotive powertrain applications, possessing powerful computing capabilities and rich peripheral interfaces, capable of meeting the real-time requirements of the control algorithm in this embodiment (especially the 10ms period PID / ADRC calculation).

[0074] The controller integrates CAN and LIN communication controllers, featuring multiple CAN and LIN bus channels, enabling high-speed and reliable data communication with multiple ECUs (such as VCU, BMS, and MCU) on the vehicle network simultaneously. The controller also integrates multiple high-side and low-side drivers and a PWM (Pulse Width Modulation) generator. The high-side and low-side drivers can directly drive power devices such as relays and valves; the PWM channels are used for precise control of actuators requiring pulse width modulation signals, such as fuel injector proportional valves.

[0075] The ECU hardware platform design in this embodiment enables it to automatically adjust and optimize control parameters in real time by calling the corresponding optimized parameter set from its internal memory based on user-inputted fuel type information and environmental data (temperature, altitude, etc.) collected by sensors. This achieves adaptive steady-state energy output control, comprehensively improving the operating efficiency, reliability, and safety of the micro gas turbine. To support complex control strategies, the ECU's signal acquisition module obtains various input signals, including: Vehicle driving intention and status: receiving pedal opening signals, fuel tank level sensor signals, and vehicle speed sensor signals via the CAN bus. High voltage and power system: communicating with the battery management system (BMS) and motor controller (MCU) via the CAN bus to obtain key information such as battery SOC, measured motor torque, and actual motor speed. Environment and range extender itself: acquiring analog signals such as ambient temperature, altitude (indirectly calculated via atmospheric pressure), and turbine inlet temperature through directly connected temperature and pressure sensors. Control and safety logic: receiving hard-wired signals such as KL15 power-on status and forced start commands via digital input / output (DIO) ports, while also receiving the Ready status from the vehicle controller. Fault diagnosis network: Continuously monitors fault codes or status words from various subsystems (such as electric drive system, electronic oil pump controller, and electronic fuel pump controller) via CAN bus.

[0076] The control method in this embodiment is deeply integrated with the vehicle's energy management strategy. The micro-turbine control strategy achieves fully autonomous control. Users can conveniently install the power bank assembly into the vehicle's pre-designated mounting location. Simultaneously, the controller integrates pre-configured bytes into the vehicle's CAN bus network. The micro-turbine controller uses information received from the vehicle's CAN network (including vehicle speed, SOC, high-voltage power-on status, accelerator pedal, etc.) and its built-in AD sensors for sampling. Through an independently developed algorithm, the micro-turbine can self-manage its energy, autonomously determining start-up and shutdown logic. By optimizing the collaborative work between the battery and the gas turbine, it intelligently allocates energy generation and storage, avoiding deep charging and discharging of the battery, thereby effectively extending battery life. This overcomes the shortcomings of short battery range and inconvenient charging in remote areas for pure electric vehicles. Combined with a multi-fuel adaptability strategy, it effectively solves the pain points of pure electric vehicle users. The power bank assembly and corresponding controller system use the control logic of this embodiment, ultimately achieving convenient plug-and-play functionality. Meanwhile, this method integrates emission and thermal management control logic to ensure that the range extender always operates in a high-efficiency, low-emission range, and actively manages key thermal parameters such as turbocharger inlet temperature to meet increasingly stringent environmental regulations and comprehensively improve the system's energy efficiency.

[0077] The system in this embodiment possesses comprehensive fault self-diagnosis and multi-level safety protection functions. It can monitor the operating status of key components such as the electric drive, oil pump, and fuel pump in real time. Once an abnormality is detected, the corresponding diagnostic and protection mechanisms will be triggered. In particular, this embodiment optimizes the start-stop process of the range extender. Through a refined control strategy, one or two igniters are first heated with a small amount of ignition oil (autonomously determined according to the ambient temperature), while the turbine inlet temperature is monitored. If the temperature meets the ignition conditions, such as when the gas turbine has just stopped and needs to be started again, the igniters do not need to be preheated. After determining that stable combustion conditions are met, corresponding fuel injection is performed according to the real-time calculated air volume, always ensuring that the micro-gas engine is in the optimal combustion mixture state, which significantly improves the reliability of system start-up. If multiple start failures reach a certain number, a multiple start failure flag is sent to the vehicle, and the micro-gas engine stops starting and sends some fault codes obtained from the diagnosis to facilitate problem investigation. After successful startup, the micro turbine enters its self-sustaining speed. During this period, air volume calculation, closed-loop control of fuel injection, and lubrication control are all implemented by the control strategy of this embodiment. The self-sustaining speed is the speed at which the micro turbine can maintain power output through its own combustion without the assistance of a motor; it is a key node for entering the power generation stage. After power-on and in the absence of hardware faults, the generator receives a flag bit sent by the micro turbine, and the generator begins self-checking. Thereafter, the generator controller and the micro turbine controller maintain constant interaction regarding speed and torque. The generator controller and control strategy determine the switching between the starter and generator based on the positive or negative torque received (before the micro turbine reaches self-sustaining speed, it is a load, and the torque detected by the motor is negative; after the micro turbine starts burning and can output power, the torque detected by the motor is positive). In addition, a turbine temperature monitoring and surge protection mechanism is integrated to prevent the gas turbine from overheating or surging under harsh conditions, greatly improving the overall reliability and operational safety of the system.

[0078] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0079] Example 2 This embodiment also provides a control device for a micro gas turbine, which is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0080] Figure 6 This is a structural block diagram of a control device for a micro gas turbine according to an embodiment of the present invention, applied in the controller of a micro gas turbine, such as... Figure 6 As shown, the device includes: The acquisition module 61 is used to acquire vehicle status parameters of the access vehicle and turbine status parameters of the micro gas turbine, wherein the micro gas turbine is portablely inserted into the access vehicle; Selection module 62 is used to select the target control mode of the micro gas turbine based on the vehicle status parameters and the turbine status parameters; The control module 63 is used to control the fuel injection state of the micro gas turbine in the current control cycle using the target control mode.

[0081] Optionally, the selection module includes: a first judgment unit, used to judge whether the vehicle state parameter is greater than a preset threshold, wherein the vehicle state parameter includes vehicle speed; a second judgment unit, used to, if the vehicle state parameter is greater than the preset threshold, judge whether the change amplitude of the turbine state parameter within a preset time window is less than a preset steady-state threshold, wherein the turbine state parameter includes starter motor torque, turbine speed, and turbine inlet temperature; and a first selection unit, used to, if the change amplitude of the turbine state parameter within the preset time window is less than the preset steady-state threshold, select the target control mode of the micro gas turbine as an adaptive control mode.

[0082] Optionally, the selection module further includes: an acquisition unit, configured to acquire the vehicle torque request of the connected vehicle and the generator power generation efficiency if the change amplitude of the turbine state parameters within the preset time window is greater than or equal to the preset steady-state threshold after the second judgment unit determines whether the change amplitude of the turbine state parameters within the preset time window is less than the preset steady-state threshold; a calculation unit, configured to calculate the required fuel quantity of the micro gas turbine in the current control cycle using the vehicle torque request and the power generation efficiency; a third judgment unit, configured to determine whether the required fuel quantity is greater than the minimum calibrated fuel quantity of the micro gas turbine, wherein the minimum calibrated fuel quantity is the minimum fuel quantity required for the micro gas turbine to maintain combustion; and a second selection unit, configured to select the target control mode of the micro gas turbine as an open-loop control mode if the required fuel quantity is greater than the minimum calibrated fuel quantity of the micro gas turbine, and select the target control mode of the micro gas turbine as a shutdown mode if the required fuel quantity is less than or equal to the minimum calibrated fuel quantity of the micro gas turbine.

[0083] Optionally, if the target control mode is an adaptive control mode, the control module includes: a reading unit for reading the actual output torque and actual driving parameters from the vehicle state parameters, wherein the actual driving parameters include the required power of the connected vehicle, the remaining battery power, and the vehicle speed; a search unit for searching for a target output torque that matches the actual driving parameters in a preset mapping table; a calculation unit for calculating the real-time torque error of the connected vehicle based on the actual output torque and the target output torque; and a generation unit for generating the injection pulse width command of the micro gas turbine based on the real-time torque error.

[0084] Optionally, the generation unit includes: an acquisition subunit, used to acquire the proportional gain coefficient, integral gain coefficient, and derivative gain coefficient of the PID control loop, and to acquire the historical integral term and historical torque error of the PID control loop in the previous control cycle; a judgment subunit, used to determine whether the real-time torque error is greater than the error freeze threshold of the integral term; and a calculation subunit, used to calculate the PID adjustment S1 of the PID control loop in the current control cycle using the following formula if the real-time torque error is greater than the error freeze threshold of the integral term: If the real-time torque error is less than or equal to the error freeze threshold of the integral term, the PID adjustment S2 of the PID control loop in the current control cycle is calculated using the following formula: ,in, , These are the weighting coefficients for the proportional term, integral term, and differential term, respectively. , , These are the gain coefficients for the proportional, integral, and differential terms, respectively. This refers to the real-time torque error. It is the historical integral term mentioned above. The historical torque error is defined as follows: a limiting subunit is used to limit the PID regulation amount based on a preset safety range to obtain a limited regulation amount; a generation subunit is used to superimpose the limited regulation amount with the basic injection pulse width of the micro gas turbine to generate the injection pulse width command of the micro gas turbine in the current control cycle.

[0085] Optionally, if the target control mode is an adaptive control mode, the control module includes: an estimation unit, used to estimate the state variables and total disturbance variables of the micro gas turbine in real time using an extended state observer; a compensation unit, used to compensate the total disturbance variable in the control law of active disturbance rejection control to obtain a compensated control variable; a calculation unit, used to calculate the total control variable using the compensated control variable and the state variables in the control law of active disturbance rejection control; and an output unit, used to output the fuel injection quantity of the micro gas turbine in the current control cycle based on the total control variable.

[0086] Optionally, if the target control mode is an open-loop control mode, the control module includes: an acquisition unit for acquiring the pre-calibrated power demand of the access vehicle; a search unit for searching for injection parameters that match the power demand using a preset pulse spectrum, wherein the injection parameters include injection quantity and injection pulse width; and a control unit for controlling the injection state of the micro gas turbine in the current control cycle based on the injection parameters.

[0087] Optionally, the device further includes: an acquisition module, configured to acquire a fuel selection command input by the vehicle-to-everything (V2X) system connected to the vehicle, or acquire sensor data from the fuel sensor of the micro gas turbine, before the control module controls the micro gas turbine in the injection state of the current control cycle using the target control mode, wherein the fuel selection command is used to indicate the fuel type currently used by the micro gas turbine; an identification module, configured to identify the target fuel type currently used by the micro gas turbine based on the fuel selection command or the sensor data; and a configuration module, configured to configure the control parameters of the micro gas turbine based on the target fuel type, wherein the control parameters include at least one of the following: starting injection quantity, basic injection pulse width, ignition timing, number of ignition plugs activated, and air-fuel ratio.

[0088] Optionally, the device further includes: a data acquisition module, configured to acquire external environmental parameters of the micro gas turbine after the configuration module configures the control parameters of the micro gas turbine based on the target fuel type, wherein the external environmental parameters include ambient temperature and altitude; and an adjustment module, configured to adjust the control parameters based on the ambient temperature and the altitude.

[0089] It should be noted that the above modules can be implemented by software or hardware. For the latter, they can be implemented in the following ways, but are not limited to: all the above modules are located in the same processor; or, the above modules are located in different processors in any combination.

[0090] Example 3 Embodiments of the present invention also provide a storage medium storing a computer program, wherein the computer program is configured to execute the steps in any of the above method embodiments when running.

[0091] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps: S1, collect vehicle status parameters of the access vehicle and turbine status parameters of the micro gas turbine, wherein the micro gas turbine is portablely inserted into the access vehicle; S2, Select the target control mode of the micro gas turbine based on the vehicle status parameters and the turbine status parameters; S3, the target control mode is used to control the fuel injection state of the micro gas turbine in the current control cycle.

[0092] Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing computer programs, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0093] Embodiments of the present invention also provide an electronic device including a memory and a processor, the memory storing a computer program and the processor being configured to run the computer program to perform the steps in any of the above method embodiments.

[0094] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor and the input / output device is connected to the processor.

[0095] Optionally, in this embodiment, the processor can be configured to perform the following steps via a computer program: S1, collect vehicle status parameters of the access vehicle and turbine status parameters of the micro gas turbine, wherein the micro gas turbine is portablely inserted into the access vehicle; S2, Select the target control mode of the micro gas turbine based on the vehicle status parameters and the turbine status parameters; S3, the target control mode is used to control the fuel injection state of the micro gas turbine in the current control cycle.

[0096] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated here.

[0097] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0098] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented using software plus a general-purpose hardware platform, or of course, using hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the related technology, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0099] It should be understood that the terminology used herein is for the purpose of describing particular exemplary embodiments only and is not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms “a,” “an,” and “described” as used herein may also include the plural forms. The terms “comprising,” “including,” “containing,” and “having” are inclusive and therefore indicate the presence of the stated features, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, elements, components, and / or combinations thereof. The method steps, processes, and operations described herein are not construed as requiring them to be performed in a particular order described or illustrated unless the order of performance is explicitly indicated. It should also be understood that additional or alternative steps may be used.

[0100] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A control method for a micro gas turbine, characterized in that, Controllers used in micro gas turbines include: The system collects vehicle status parameters of the access vehicle and turbine status parameters of the micro gas turbine, wherein the micro gas turbine is portablely inserted into the access vehicle. The target control mode of the micro gas turbine is selected based on the vehicle status parameters and the turbine status parameters; The target control mode is used to control the fuel injection status of the micro gas turbine in the current control cycle.

2. The method according to claim 1, characterized in that, Selecting the target control mode for the micro gas turbine based on the vehicle state parameters and the turbine state parameters includes: Determine whether the vehicle status parameters are greater than a preset threshold, wherein the vehicle status parameters include vehicle speed; If the vehicle state parameter is greater than a preset threshold, determine whether the change range of the turbine state parameter within a preset time window is less than a preset steady-state threshold. The turbine state parameter includes starter motor torque, turbine speed, and turbine inlet temperature. If the change in the turbine state parameters within a preset time window is less than a preset steady-state threshold, the target control mode for the micro gas turbine is selected as the adaptive control mode.

3. The method according to claim 2, characterized in that, After determining whether the change in the turbine state parameters within a preset time window is less than a preset steady-state threshold, the method further includes: If the change in the turbine state parameters within a preset time window is greater than or equal to a preset steady-state threshold, the vehicle torque request of the connected vehicle and the generator power generation efficiency are obtained. The fuel demand of the micro gas turbine in the current control cycle is calculated using the vehicle torque request and the power generation efficiency. Determine whether the required fuel quantity is greater than the minimum calibrated fuel quantity of the micro gas turbine, wherein the minimum calibrated fuel quantity is the minimum amount of fuel required for the micro gas turbine to maintain combustion; If the required fuel quantity is greater than the minimum rated fuel quantity of the micro gas turbine, the target control mode of the micro gas turbine is selected as open-loop control mode; if the required fuel quantity is less than or equal to the minimum rated fuel quantity of the micro gas turbine, the target control mode of the micro gas turbine is selected as shutdown mode.

4. The method according to claim 1, characterized in that, If the target control mode is an adaptive control mode, controlling the operating state of the micro gas turbine using the target control mode includes: Read the actual output torque and actual driving parameters from the vehicle status parameters, wherein the actual driving parameters include the power demand of the connected vehicle, the remaining battery power, and the vehicle speed; Find the target output torque that matches the actual driving parameters in the preset mapping table; The real-time torque error of the accessed vehicle is calculated based on the actual output torque and the target output torque; The injection pulse width command for the micro gas turbine is generated based on the real-time torque error.

5. The method according to claim 4, characterized in that, The generation of the injection pulse width command for the micro gas turbine based on the real-time torque error includes: Obtain the proportional term gain coefficient, integral term gain coefficient, and derivative term gain coefficient of the PID control loop, as well as the historical integral term and historical torque error of the PID control loop in the previous control cycle; Determine whether the real-time torque error is greater than the error freeze threshold of the integral term; If the real-time torque error is greater than the error freeze threshold of the integral term, the PID adjustment S1 of the PID control loop in the current control cycle is calculated using the following formula: If the real-time torque error is less than or equal to the error freeze threshold of the integral term, the PID adjustment S2 of the PID control loop in the current control cycle is calculated using the following formula: ,in, , These are the weighting coefficients for the proportional term, integral term, and differential term, respectively. , , These are the gain coefficients for the proportional, integral, and differential terms, respectively. This refers to the real-time torque error. It is the historical integral term mentioned above. This refers to the historical torque error; The PID adjustment amount is limited based on a preset safety range to obtain the limited adjustment amount; The injection pulse width command of the micro gas turbine in the current control cycle is generated by superimposing the aforementioned limiting adjustment amount on the basic injection pulse width of the micro gas turbine.

6. The method according to claim 1, characterized in that, If the target control mode is an adaptive control mode, controlling the operating state of the micro gas turbine using the target control mode includes: An extended state observer is used to estimate the state variables and total disturbances of the micro gas turbine in real time. The total disturbance is compensated in the control law of active disturbance rejection control to obtain the compensated control quantity; In the control law of active disturbance rejection control, the compensation control quantity and the state quantity are used to calculate the total control quantity; The total control quantity is used to output the fuel injection quantity of the micro gas turbine in the current control cycle.

7. The method according to claim 1, characterized in that, If the target control mode is an open-loop control mode, controlling the operating state of the micro gas turbine using the target control mode includes: Obtain the pre-calibrated power requirements of the access vehicle; A preset pulse spectrum is used to find the injection parameters that match the power demand, wherein the injection parameters include the injection quantity and the injection pulse width; The injection state of the micro gas turbine in the current control cycle is controlled based on the injection parameters.

8. The method according to claim 1, characterized in that, Before controlling the micro gas turbine's injection state in the current control cycle using the target control mode, the method further includes: The system can obtain a fuel selection command input from the vehicle-to-everything (V2X) system of the connected vehicle, or obtain sensor data from the fuel sensor of the micro gas turbine, wherein the fuel selection command is used to indicate the type of fuel currently used by the micro gas turbine. The target fuel type currently used by the micro gas turbine is identified based on the fuel selection command or the sensor data. The control parameters of the micro gas turbine are configured based on the target fuel type, wherein the control parameters include at least one of the following: starting fuel injection quantity, basic fuel injection pulse width, ignition timing, number of ignition plugs activated, and air-fuel ratio.

9. The method according to claim 8, characterized in that, After configuring the control parameters of the micro gas turbine based on the target fuel type, the method further includes: The external environmental parameters of the micro gas turbine are collected, including ambient temperature and altitude. The control parameters are adjusted based on the ambient temperature and the altitude.

10. A control device for a micro gas turbine, characterized in that, Controllers used in micro gas turbines include: The data acquisition module is used to acquire vehicle status parameters of the access vehicle and turbine status parameters of the micro gas turbine, wherein the micro gas turbine is portablely inserted into the access vehicle; The selection module is used to select the target control mode of the micro gas turbine based on the vehicle status parameters and the turbine status parameters. The control module is used to control the fuel injection status of the micro gas turbine in the current control cycle using the target control mode.

11. A storage medium, characterized in that, The storage medium stores a computer program, wherein the computer program is configured to execute the method described in any one of claims 1 to 9 when it is run.

12. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to run the computer program to perform the method as described in any one of claims 1 to 9.

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