Electrically-driven fishing boat system based on intelligent control and modular energy management functions

Abstract

The invention discloses an electrically-driven fishing boat system based on intelligent control and modular energy management functions, and relates to the technical field of electric boat bodies, the electrically-driven fishing boat system comprises a boat body and a power assembly arranged at the tail end of the boat body; the power assembly is composed of an intelligent control module, an electric driving module, a Beidou navigation module, an operation management module, an energy management module, an auxiliary power generation module, an inversion charging module, a bus control system and a remote monitoring module. The intelligent control module comprises a navigation mode management sub-module, an operation memory sub-module, a cruise control sub-module and a fault monitoring and early warning sub-module. The cruise control sub-module adopts a PID algorithm to realize a constant navigational speed and an energy recovery mechanism of cooperative work of the auxiliary power generation module and the inversion charging module, and the cruise control sub-module calculates a navigational speed deviation and generates a rotating speed regulating variable by receiving a Beidou navigation signal in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of electric hulls, in particular to an electric-driven fishing boat system based on intelligent control and modular energy management functions. Background Art

[0002] In recent years, with the global emphasis on green shipping and sustainable fishery development, existing technologies have adopted a dual-motor parallel architecture and basic energy management strategies to achieve power output and energy distribution during fishing vessel operations. This technology reduces mechanical transmission losses through the design of motor-directly driven propellers, and uses a battery management system (BMS) to monitor the status of energy storage units, which improves energy utilization efficiency to a certain extent. The system also integrates GPS and Beidou positioning functions to provide basic navigation support for fishing vessels. This electrification solution represents an important development direction for current fishing vessel power systems and provides a feasible path for energy conservation and emission reduction in the industry.

[0003] However, there is still room for improvement in the intelligence level and comprehensive energy utilization efficiency of existing electric fishing boat systems in complex operating scenarios, especially in terms of precise speed control and energy recovery. Open-loop or simple closed-loop control strategies are often adopted, which makes it difficult to cope with speed fluctuations caused by dynamic environmental changes such as wind and wave interference. Due to the lack of intelligent cruise control algorithms and modular energy management architecture, the system cannot automatically adjust the motor output characteristics according to real-time working conditions, and it is difficult to effectively recover the kinetic energy of the hull during inertial gliding or low-load conditions. Summary of the Invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides an electric-driven fishing boat system based on intelligent control and modular energy management functions to solve the technical difficulties of existing electric fishing boats in terms of precise speed control and energy recovery efficiency.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] The present invention provides an electric drive fishing boat system based on intelligent control and modular energy management functions, which includes a hull, a power assembly arranged at the end of the hull;

[0008] The power assembly consists of an intelligent control module, an electric drive module, a Beidou navigation module, an operation management module, an energy management module, an auxiliary power generation module, an inverter charging module, a bus control system and a remote monitoring module;

[0009] The intelligent control module includes a navigation mode management submodule, an operation memory submodule, a cruise control submodule and a fault monitoring and warning submodule;

[0010] The navigation mode management submodule is connected to the electric drive module and the Beidou navigation module via a data bus and is used to switch between the fast-speed cruise mode and the directional cruise mode;

[0011] The operation memory submodule stores cruise parameters and interacts with the operation management module data;

[0012] The cruise control submodule adjusts the motor speed through the PID algorithm to keep the speed constant;

[0013] The fault monitoring submodule collects motor temperature and battery status signals in real time and triggers an early warning through the bus control system.

[0014] As a preferred solution of the electric-driven fishing boat system based on intelligent control and modular energy management functions of the present invention, the Beidou navigation module outputs the current speed signal to the cruise control submodule in real time, and the cruise control submodule compares the current speed with the set speed to generate a speed deviation value;

[0015] The cruise control submodule sends the speed adjustment value to the corresponding motor inverter of the electric drive module through the data bus;

[0016] The motor inverter adjusts the PWM duty cycle according to the received regulation amount to change the actual speed of the motor.

[0017] As a preferred solution of the electric-driven fishing boat system based on intelligent control and modular energy management functions described in the present invention, the electric drive module is composed of 1+1+N motor units, each motor is connected to the energy management module through an independent inverter, and each motor is connected in parallel with the bus control system through a power supply line and a data line.

[0018] As a preferred solution of the electric-driven fishing boat system based on intelligent control and modular energy management functions described in the present invention, the Beidou navigation module includes an integrated Beidou positioning chip, a gyroscope and an AIS collision avoidance unit, communicates with the intelligent control module through an RS485 interface, outputs a path correction signal to the cruise control submodule, and updates the obstacle coordinates to the remote monitoring module in real time.

[0019] As a preferred solution of the electric-driven fishing boat system based on intelligent control and modular energy management functions described in the present invention, the operation management module includes a storage unit and a pattern matching unit, the storage unit records the fishing trajectory and net status data, and the pattern matching unit optimizes the operation parameters through machine learning and synchronizes with the intelligent control module data.

[0020] As a preferred solution of the electric-driven fishing boat system based on intelligent control and modular energy management functions described in the present invention, the energy management module is composed of a battery pack, an SOC estimation unit and a dynamic scheduling unit. The dynamic scheduling unit receives the power demand of the electric drive module through the CAN bus, and distributes electric energy to each motor inverter and auxiliary power generation module and inverter charging module to form a closed-loop energy recovery link.

[0021] As a preferred solution of the electric-driven fishing boat system based on intelligent control and modular energy management functions described in the present invention, the auxiliary power generation module includes a reverse excitation circuit and a switching switch. When the hull is gliding or low-load, the switching switch connects the motor winding to the inverter charging module for kinetic energy-electrical energy conversion.

[0022] As a preferred solution of the electric-driven fishing boat system based on intelligent control and modular energy management functions described in the present invention, the inverter charging module is composed of a cascade of a three-phase rectifier bridge, a DC / AC inverter and a charging control unit, the input end of the inverter charging module is connected to the motor winding of the auxiliary power generation module, the output end of the inverter charging module is connected to the battery pack via a bidirectional DC / DC converter, and the charging control unit adjusts the charging current through a PWM signal.

[0023] As a preferred solution of the electric-driven fishing boat system based on intelligent control and modular energy management functions described in the present invention, the bus control system adopts a dual-thread architecture of power supply and data, including a main power supply cable and a redundant data bus, and each motor is connected to the control console through an independent power supply line and data line.

[0024] As a preferred solution of the electric-driven fishing boat system based on intelligent control and modular energy management functions described in the present invention, the remote monitoring module has a built-in 4G / 5G communication unit, which is connected to the shore-based terminal through a cloud platform to upload ship position, energy consumption and fault code data, and receive remote speed control or shutdown instructions.

[0025] The beneficial effects of the present invention are as follows: a constant speed is achieved by adopting a PID algorithm through a cruise control submodule, and an energy recovery mechanism in which the auxiliary power generation module and the inverter charging module work together. The cruise control submodule receives Beidou navigation signals in real time, calculates the speed deviation and generates a speed adjustment amount, and accurately controls the PWM duty cycle of the motor inverter through a bus control system, thereby ensuring that the fishing boat maintains a stable speed under various operating environments and effectively overcomes the speed fluctuation problem caused by wind and wave interference. When the hull is gliding or in a low-load state, the auxiliary power generation module connects the motor winding to the inverter charging module through a reverse excitation circuit, realizes kinetic energy-electrical energy conversion through a three-phase rectifier bridge and a DC / AC inverter, and then charges the battery pack through a bidirectional DC / DC converter, forming a complete energy closed-loop management. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0027] Figure 1 Schematic diagram of an electric-drive fishing boat system based on intelligent control and modular energy management functions.

[0028] Figure 2 Schematic diagram of the connection between the electric drive module and the energy recovery system.

[0029] Figure 3 This is the functional structure diagram of the intelligent control module.

[0030] Figure 4 This is a schematic diagram of the smart ship structure.

[0031] Figure 5 Schematic diagram of the hull structure.

[0032] In the figure, 1. hull, 2. power assembly. DETAILED DESCRIPTION

[0033] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0034] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0035] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0036] Reference Figure 1-Figure 5 , which is the first embodiment of the present invention, provides an electric-driven fishing boat system based on intelligent control and modular energy management functions, comprising the following steps:

[0037] The Beidou navigation module outputs the current speed signal to the cruise control submodule in real time. The cruise control submodule compares the current speed with the set speed and generates a speed deviation value.

[0038] Furthermore, the Beidou navigation module collects the position information of the hull 1 in real time through the integrated Beidou positioning chip, combines the gyroscope and the AIS collision avoidance unit data, obtains the current speed signal and transmits it to the cruise control submodule through the RS485 interface. After receiving the current speed signal, the cruise control submodule compares the value with the preset set speed and uses subtraction operation to generate a speed deviation value; the speed deviation value is the algebraic difference between the set speed and the current speed, a positive value indicates that the current speed is lower than the set value, and a negative value indicates that the current speed is higher than the set value; the cruise control submodule uses the speed deviation value as the input parameter of the PID controller, and generates the motor speed adjustment value through a linear combination of proportional operation, integral operation and differential operation. The motor speed adjustment value is sent to the corresponding motor inverter in the electric drive module through the data bus. The motor inverter adjusts the duty cycle of the PWM wave according to the received adjustment value, thereby changing the actual speed of the permanent magnet synchronous motor, so that the current speed gradually approaches the set speed.

[0039] The cruise control submodule sends the speed adjustment value to the corresponding motor inverter of the electric drive module through the data bus.

[0040] Furthermore, the cruise control submodule converts the motor speed adjustment value into a data frame format that complies with the CAN bus communication protocol and transmits it through the redundant data bus in the dual-thread architecture of the power supply data; the corresponding motor inverter in the electric drive module receives the speed adjustment value data frame on the CAN bus through a parallel data line, parses it to obtain the adjustment value, and the motor inverter adjusts the duty cycle of the three-phase PWM wave by changing the switching timing of the insulated gate bipolar transistor (IGBT) according to the received speed adjustment value. The adjusted PWM wave drives the stator winding of the permanent magnet synchronous motor to generate a rotating magnetic field, thereby changing the rotor speed. The actual speed change of the permanent magnet synchronous motor is fed back to the cruise control submodule through the encoder to form a closed-loop control loop.

[0041] The motor inverter adjusts the PWM duty cycle according to the received regulation amount to change the actual speed of the motor.

[0042] Specifically, the expression is,

[0043]

[0044] Among them, Δn(t) is the motor speed adjustment value at the current time t, e(t) is the speed deviation value at the current time, K i is the integral gain, K d is the differential gain, K p is the proportional gain, is the speed deviation change rate, e(τ) is the function of speed deviation changing with time, and dτ is the differential time unit.

[0045] The electric drive module consists of 1+1+N motors. Each motor is connected to the energy management module through an independent inverter. Each motor is connected in parallel to the bus control system through a power supply line and a data line.

[0046] Furthermore, the electric drive module includes 2 to 4 permanent magnet synchronous motors, each permanent magnet synchronous motor is equipped with an independent motor inverter, and the motor inverter is connected to the battery pack in the energy management module through a power cable; each permanent magnet synchronous motor is connected to the main power supply cable in the bus control system through an independent 48V DC power supply line, and is connected to the redundant data bus in the bus control system through an independent data line; the motor inverter receives the speed adjustment instruction from the cruise control submodule, and converts the DC power provided by the battery pack into three-phase AC power to drive the permanent magnet synchronous motor to operate; the operating status data of the permanent magnet synchronous motor is fed back to the bus control system in real time through the data line; the dynamic scheduling unit in the energy management module obtains the power requirements of each permanent magnet synchronous motor through the CAN bus, and dynamically allocates the output power of the battery pack to each motor inverter; when the hull 1 is gliding or under low load conditions, the permanent magnet synchronous motor can switch to the power generation mode, and realize energy recovery through the auxiliary power generation module and the inverter charging module.

[0047] The Beidou navigation module includes an integrated Beidou positioning chip, a gyroscope and an AIS collision avoidance unit. It communicates with the intelligent control module through the RS485 interface, outputs path correction signals to the cruise control sub-module, and updates obstacle coordinates to the remote monitoring module in real time.

[0048] Furthermore, the Beidou positioning chip in the Beidou navigation module receives Beidou satellite signals and calculates the current position coordinates of the hull 1, the gyroscope measures the rate of change of the heading angle of the hull 1, and the AIS collision avoidance unit obtains the dynamic information of the surrounding hull 1. The position data output by the Beidou positioning chip and the attitude data provided by the gyroscope are fused and processed through the Kalman filter algorithm to generate high-precision motion status information of the hull 1. The processed navigation data is transmitted to the navigation mode management submodule in the intelligent control module through the RS485 serial communication interface. The navigation mode management submodule calculates the path correction amount according to the deviation between the preset route and the current motion status of the hull 1, and generates a path correction signal to be sent to the cruise control submodule.

[0049] The operation management module includes a storage unit and a pattern matching unit. The storage unit records fishing tracks and net status data. The pattern matching unit optimizes operation parameters through machine learning and synchronizes data with the intelligent control module.

[0050] Furthermore, the storage unit in the operation management module continuously records the fishing trajectory data formed by the position coordinates of the hull 1 provided by the Beidou navigation module, and at the same time collects and stores the net status data uploaded by the net depth sensor and the tension sensor. The pattern matching unit adopts a machine learning model based on the random forest algorithm to extract features and analyze patterns of the historical operation data accumulated by the storage unit, and establish an operation parameter optimization model under different fishing scenarios. When the hull 1 enters the operation area, the pattern matching unit matches the optimal operation mode in real time according to the current sea environment parameters and the net status, and generates optimization suggestions including speed setting values, net depth and other parameters. The optimized operation parameters are transmitted to the navigation mode management submodule in the intelligent control module through the CAN bus. The navigation mode management submodule adjusts the set speed of the cruise control submodule and the output power of the electric drive module accordingly. The actual operation effect data fed back by the intelligent control module is transmitted back to the operation management module through the data bus for updating the machine learning model parameters of the pattern matching unit.

[0051] The energy management module consists of a battery pack, an SOC estimation unit and a dynamic scheduling unit. The dynamic scheduling unit receives the power requirements of the electric drive module through the CAN bus and distributes electric energy to each motor inverter, auxiliary power generation module and inverter charging module to form a closed-loop energy recovery link.

[0052] Furthermore, the battery pack in the energy management module is composed of lithium iron phosphate battery cells connected in series. The SOC estimation unit calculates the remaining power of the battery pack in real time by combining the ampere-hour integration method and the open-circuit voltage method. The dynamic scheduling unit receives the real-time power demand data reported by each permanent magnet synchronous motor inverter in the electric drive module through the CAN bus, and simultaneously collects the working status information of the auxiliary power generation module and the inverter charging module. The dynamic scheduling unit uses a priority scheduling algorithm to allocate power output based on the battery pack SOC status and power demand data, giving priority to meeting the power demand of the permanent magnet synchronous motor inverter in the electric drive module that is in a working state. When it is detected that the hull 1 enters the gliding or low-load working condition, the dynamic scheduling unit sends a control command to activate the auxiliary power generation module and switch the permanent magnet synchronous motor to the power generation mode. The three-phase rectifier bridge in the inverter charging module converts the AC power generated by the permanent magnet synchronous motor into DC power, and the battery pack is charged after the voltage is adjusted by the bidirectional DC / DC converter, forming a complete energy recovery chain. The charging control unit adjusts the charging current through PWM to ensure that the charging process is carried out within the safe range of the battery pack.

[0053] The auxiliary power generation module includes a reverse excitation circuit and a switching switch. When the hull 1 is gliding or under low load, the switching switch connects the motor winding to the inverter charging module for kinetic energy-electrical energy conversion.

[0054] Furthermore, the reverse excitation circuit in the auxiliary power generation module is composed of a power diode and an IGBT. When the dynamic scheduling unit in the energy management module detects that the hull 1 is gliding or in a low-load condition, a control signal is sent through the CAN bus to trigger the switching switch action; the switching switch uses a solid-state relay array with a response time of no more than 10 milliseconds, disconnecting the three-phase winding of the permanent magnet synchronous motor in the electric drive module from the motor inverter and transferring it to the three-phase rectifier bridge input end of the inverter charging module; the permanent magnet synchronous motor continues to rotate under the inertia of the hull 1, and the rotor magnetic field cuts the stator winding to generate three-phase alternating current, which is adjusted by the reverse excitation circuit and input into the inverter charging module. The three-phase rectifier bridge in the inverter charging module converts the alternating current into direct current, which is then processed by the DC / AC inverter and the charging control unit and then charged by the bidirectional DC / DC converter for the battery pack in the energy management module. The charging control unit adjusts the charging current in real time through the PWM signal to ensure that the charging process complies with the safe charging curve of the battery pack, and at the same time feeds back the charging status parameters to the dynamic scheduling unit through the CAN bus.

[0055] The inverter charging module is composed of a cascade of a three-phase rectifier bridge, a DC / AC inverter and a charging control unit. The input end of the inverter charging module is connected to the motor winding of the auxiliary power generation module, and the output end of the inverter charging module is connected to the battery pack through a bidirectional DC / DC converter. The charging control unit adjusts the charging current through a PWM signal.

[0056] Furthermore, the three-phase rectifier bridge in the inverter charging module uses silicon carbide power devices to form a three-phase full-bridge circuit. The input end is directly connected to the output end of the switch of the auxiliary power generation module via a copper busbar. It receives the three-phase AC power generated by the permanent magnet synchronous motor winding. The three-phase rectifier bridge converts the AC power into pulsating DC power and transmits it to the DC / AC inverter. The DC / AC inverter uses space vector modulation technology to convert DC power into AC power with controllable amplitude and frequency. The charging control unit uses Hall sensors to monitor the voltage and current parameters on the output side of the DC / AC inverter in real time. Based on the battery pack charging characteristic curve, it generates a PWM control signal. The PWM control signal is transmitted to the IGBT gate of the DC / AC inverter via an optical fiber isolation drive circuit to adjust the output voltage and current waveform. The processed AC power is converted and electrically isolated by a bidirectional DC / DC converter, and the output DC power meets the battery pack charging requirements of the energy management module. The charging control unit communicates with the dynamic scheduling unit in the energy management module via the CAN bus, adjusting the charging power parameters in real time to ensure that the charging process maintains a dynamic balance with the power demand of the electric drive module.

[0057] The bus control system adopts a dual-thread architecture of power supply and data, including a main power supply cable and a redundant data bus. Each motor is connected to the control console through an independent power supply line and data line.

[0058] Furthermore, the main power supply cable in the bus control system adopts a multi-core copper conductor structure, carrying a 48V DC power distribution network. The redundant data bus adopts a dual CAN-FD channel architecture and supports a communication rate of 1Mbps. Each permanent magnet synchronous motor in the electric drive module is connected to the main power supply cable through an independent shielded power supply cable to obtain working power, and is also connected to the redundant data bus through an independent shielded twisted-pair data cable. The control instructions generated by the cruise control submodule in the intelligent control module are transmitted through the redundant data bus and encapsulated into data frame format using the CAN protocol. The motor inverter receives the control instruction data frame through the data line, performs speed adjustment operations after parsing, and encapsulates the permanent magnet synchronous motor operating status parameters into feedback data frames for return. The power line and data line are connected in parallel using a star topology to ensure that any single point failure does not affect the communication of other nodes. The console, as the core node of the bus control system, distributes power to each node through the main power supply cable and realizes data exchange with the intelligent control module, electric drive module, energy management module, etc. through the redundant data bus, forming a complete power supply and communication network.

[0059] The remote monitoring module has a built-in 4G / 5G communication unit, which is connected to the shore-based terminal through the cloud platform to upload ship position, energy consumption and fault code data, and receive remote speed control or shutdown commands.

[0060] Furthermore, the 4G / 5G communication unit in the remote monitoring module integrates a multi-mode wireless communication chip, and establishes an encrypted data transmission channel with the cloud platform through the mobile network base station; the ship position coordinate data provided by the Beidou navigation module, the energy consumption data recorded by the energy management module, and the fault code data generated by the fault monitoring and early warning submodule are transmitted to the remote monitoring module through the redundant data bus in the bus control system; the remote monitoring module encapsulates the received data according to the preset protocol format and uploads it to the cloud platform server in real time through the 4G / 5G communication unit; the shore-based terminal accesses the cloud platform after passing the security authentication, parses and obtains the operating status information of the hull 1 and displays it on the monitoring interface; when the shore-based operator sends a remote speed control or shutdown command, the cloud platform server forwards the command to the 4G / 5G communication unit, and after data verification, it is transmitted to the navigation mode management submodule in the intelligent control module through the bus control system for execution; in sea areas where 4G / 5G signal coverage is insufficient, the remote monitoring module automatically switches to the short message communication function of the Beidou navigation module to maintain basic data transmission.

[0061] In summary, the present invention uses the PID algorithm to achieve constant speed through the cruise control submodule, as well as an energy recovery mechanism in which the auxiliary power generation module and the inverter charging module work together. The cruise control submodule receives Beidou navigation signals in real time, calculates the speed deviation and generates a speed adjustment value, and accurately controls the PWM duty cycle of the motor inverter through the bus control system, thereby ensuring that the fishing boat maintains a stable speed under various operating environments and effectively overcomes the speed fluctuation problem caused by wind and wave interference. When the hull is gliding or in a low-load state, the auxiliary power generation module connects the motor winding to the inverter charging module through a reverse excitation circuit, realizes kinetic energy-electrical energy conversion through a three-phase rectifier bridge and a DC / AC inverter, and then charges the battery pack through a bidirectional DC / DC converter, forming a complete energy closed-loop management.

[0062] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An electric-drive fishing boat system based on intelligent control and modular energy management features: It comprises a hull (1), and a power assembly (2) arranged at the end of the hull (1); The power assembly (2) is composed of an intelligent control module, an electric drive module, a Beidou navigation module, an operation management module, an energy management module, an auxiliary power generation module, an inverter charging module, a bus control system and a remote monitoring module; The intelligent control module includes a navigation mode management submodule, an operation memory submodule, a cruise control submodule and a fault monitoring and warning submodule; The navigation mode management submodule is connected to the electric drive module and the Beidou navigation module via a data bus and is used to switch between the fast-speed cruise mode and the directional cruise mode; The operation memory submodule stores cruise parameters and interacts with the operation management module data; The cruise control submodule adjusts the motor speed through the PID algorithm to keep the speed constant; The fault monitoring submodule collects motor temperature and battery status signals in real time and triggers an early warning through the bus control system.

2. The electric-driven fishing boat system based on intelligent control and modular energy management functions according to claim 1, characterized in that: The Beidou navigation module outputs the current speed signal to the cruise control submodule in real time, and the cruise control submodule compares the current speed with the set speed to generate a speed deviation value; The cruise control submodule sends the speed adjustment value to the corresponding motor inverter of the electric drive module through the data bus; The motor inverter adjusts the PWM duty cycle according to the received regulation amount to change the actual speed of the motor.

3. The electric-driven fishing boat system based on intelligent control and modular energy management functions according to claim 1, characterized in that: The electric drive module consists of 1+1+N motors, each of which is connected to the energy management module via an independent inverter, and each motor is connected in parallel to the bus control system via a power supply line and a data line.

4. The electric-driven fishing boat system based on intelligent control and modular energy management functions according to claim 2, characterized in that: The Beidou navigation module includes an integrated Beidou positioning chip, a gyroscope and an AIS collision avoidance unit. It communicates with the intelligent control module through an RS485 interface, outputs a path correction signal to the cruise control submodule, and updates the obstacle coordinates to the remote monitoring module in real time.

5. The electric-driven fishing boat system based on intelligent control and modular energy management functions according to claim 3, characterized in that: The operation management module includes a storage unit and a pattern matching unit. The storage unit records fishing tracks and net status data. The pattern matching unit optimizes operation parameters through machine learning and synchronizes data with the intelligent control module.

6. The electric-driven fishing boat system based on intelligent control and modular energy management functions according to claim 4, characterized in that: The energy management module consists of a battery pack, an SOC estimation unit and a dynamic scheduling unit. The dynamic scheduling unit receives the power demand of the electric drive module through the CAN bus and distributes electric energy to each motor inverter, auxiliary power generation module and inverter charging module to form a closed-loop energy recovery link.

7. The electric-driven fishing boat system based on intelligent control and modular energy management functions according to claim 5, characterized in that: The auxiliary power generation module comprises a reverse excitation circuit and a switching switch. When the hull (1) is gliding or under low load, the switching switch connects the motor winding to the inverter charging module for kinetic energy-electrical energy conversion.

8. The electric-driven fishing boat system based on intelligent control and modular energy management functions according to claim 6, characterized in that: The inverter charging module is composed of a cascade of a three-phase rectifier bridge, a DC / AC inverter and a charging control unit. The input end of the inverter charging module is connected to the motor winding of the auxiliary power generation module, and the output end of the inverter charging module is connected to the battery pack through a bidirectional DC / DC converter. The charging control unit adjusts the charging current through a PWM signal.

9. The electric-driven fishing boat system based on intelligent control and modular energy management functions according to claim 7, characterized in that: The bus control system adopts a power supply and data dual-thread architecture, including a trunk power supply cable and a redundant data bus, and each motor is connected to the control console via an independent power supply line and data line.

10. The electric-driven fishing boat system based on intelligent control and modular energy management functions according to claim 8, characterized in that: The remote monitoring module has a built-in 4G / 5G communication unit, which is connected to the shore-based terminal through the cloud platform to upload ship position, energy consumption and fault code data, and receive remote speed control or shutdown instructions.

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