Hybrid electric propulsion ferry energy efficiency management system based on route analysis

Abstract

The invention discloses a hybrid electric propulsion ferry energy efficiency management system based on route analysis, which comprises a data acquisition module, a route analysis module, a power optimization module and a power control module, and is characterized in that the data acquisition module is used for acquiring and transmitting ferry information and operation parameters of a power system to the route analysis module and the power optimization module in real time; the route analysis module is used for dynamically updating and finely analyzing the current route according to the real-time data and the route position of the ferry; the power optimization module optimizes a navigational speed and power distribution scheme by combining the latest route analysis result and real-time power system data, and sends the optimized navigational speed and power distribution scheme to the power control module; the power control module controls the power system in real time and feeds back actual power system operation data to the power optimization module. By means of the energy efficiency management system, the diesel engine can work in the interval with the highest fuel efficiency as much as possible, fuel consumption and pollutant emission are reduced to the maximum extent, and the overall energy efficiency of the ferry is improved.

Description

Technical Field

[0001] This invention relates to the field of shipbuilding technology, and in particular to an energy efficiency management system for hybrid electric propulsion ferries based on route analysis. Background Technology

[0002] Against the backdrop of a global push for energy conservation, emission reduction, and green development, the shipping industry, as a major consumer of energy and a major emitter of greenhouse gases, faces immense environmental pressure. The International Maritime Organization (IMO) has continuously introduced stringent regulations aimed at improving ship energy efficiency and reducing fuel consumption and pollutant emissions. my country's Ministry of Transport has also actively responded, issuing a series of guiding documents to vigorously promote the application of clean energy in the shipping sector.

[0003] Ferries, as a common mode of water transportation, consume a significant amount of energy in their daily operations. Traditional ferries mostly employ a single fuel-powered system, resulting in low energy efficiency and severe emissions. In recent years, the application of hybrid electric propulsion technology in ferries has gradually increased. By combining diesel engines with battery energy storage systems, energy efficiency has been improved to some extent. However, hybrid electric propulsion ferries still face numerous challenges in energy efficiency management. On the one hand, most energy management strategies do not fully consider the characteristics of the actual ferry routes, such as environmental factors like water flow speed, wind speed, and wind direction in different sections, as well as the load variations of the ferry in each section. This leads to the power system being unable to accurately match power output according to actual needs, resulting in energy waste. On the other hand, there is a lack of scientific and effective optimization methods for power distribution between the diesel engine and the battery energy storage system. The diesel engine struggles to consistently operate within its optimal fuel efficiency range, and the energy regulation function of the energy storage system is not fully utilized. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a hybrid electric propulsion ferry energy efficiency management system based on route analysis. Through detailed analysis of the ferry route, combined with real-time environmental information and the ferry's operating status, the system optimizes the power distribution between the diesel engine and the energy storage system. This ensures the diesel engine operates within its most fuel-efficient range and fully utilizes the energy regulation function of the energy storage system, thereby minimizing fuel consumption and pollution emissions and improving the overall energy efficiency of the ferry.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: A hybrid electric propulsion ferry energy efficiency management system based on route analysis includes a data acquisition module, a route analysis module, a power optimization module, and a power control module. The data acquisition module collects the ferry's position, environmental parameters, load information, and power system operating parameters, and transmits this data in real-time to the route analysis module and the power optimization module. The route analysis module dynamically updates and refines the current route based on the real-time data transmitted by the data acquisition module and the ferry's current position. The power optimization module continuously optimizes the speed and power allocation scheme based on the latest route analysis results and real-time power system data, and sends the optimized speed and power allocation scheme to the power control module. The power control module performs real-time control of the power system according to the instructions transmitted by the power optimization module and feeds back the actual power system operating data to the power optimization module.

[0006] Furthermore, the route analysis module achieves refined route analysis through a closed-loop process, specifically including: initializing and loading basic route data; fusing real-time data and verifying outliers; dynamically dividing sub-segments according to environmental parameter thresholds; correcting route deviations and predicting sub-segment resistance; and outputting sub-segment attributes and resistance data. Furthermore, the route analysis module pre-stores multiple ferry route information, including the geographical coordinates of the route's origin, destination, and waypoints, as well as wind speed, wind direction, and current speed distribution information for each sub-segment. During ferry navigation, the module combines real-time location information acquired by the data acquisition module to dynamically analyze the current navigation route; wherein, the sub-segment is a number of sub-segments into which the route is divided based on the characteristics of different segments.

[0007] Furthermore, the power system includes a diesel engine and a battery energy storage system, both of which are electrically connected to the power control module.

[0008] Furthermore, the power optimization module includes a speed optimization model and a power allocation optimization model. The route optimization model provides a speed adjustment scheme based on the real-time influence of water flow speed, wind speed, and wind direction on the ferry's navigation resistance in the sub-segment where the ferry is located, as well as the ferry's load condition. The power allocation optimization model determines the fuel consumption rate of the diesel engine at different output power based on the diesel engine's fuel efficiency characteristic curve, and combines the charging and discharging efficiency of the battery energy storage system and the current power status to optimize the power allocation between the diesel engine and the energy storage system using intelligent algorithms.

[0009] Furthermore, the speed optimization model and the power distribution optimization model are developed based on computational fluid dynamics methods, that is, fluid simulation technology is used to evaluate the ship's resistance and self-propulsion performance, and obtain the corresponding speed-power curves as data support for the speed optimization model and the power distribution optimization model.

[0010] Furthermore, the power system also includes a battery energy storage system charge / discharge switch and a diesel engine governor. The battery energy storage system charge / discharge switch and the diesel engine governor are both electrically connected to the power control module, and are also electrically connected to the battery energy storage system and the diesel engine, respectively. The generator and the battery energy storage system are electrically connected to the propeller and the daily load equipment through an electrical system.

[0011] Furthermore, the electrical system includes a generator, a DC / DC converter, three AC / DC converters, and a DC distribution board. The generator is electrically connected to the diesel engine and is connected to the DC distribution board via one of the AC / DC converters. The DC / DC converter is used to connect the battery energy storage system and the DC distribution board. The DC distribution board is connected to a transformer and a propeller motor respectively via two parallel AC / DC converters. The transformer is electrically connected to the daily load equipment, and the propeller motor is electrically connected to the propeller. Both the propeller and the daily load equipment are electrically connected to the power control module.

[0012] Furthermore, the data acquisition module includes a GPS sensor for real-time acquisition of the ferry's location information to determine its specific position on the route; a wind speed and direction sensor for collecting real-time wind speed and direction data; a water flow velocity sensor for measuring the speed of the water flow around the ferry; a ship load sensor for monitoring the ferry's real-time load status; a battery energy storage system sensor for collecting the charging and discharging status of the battery energy storage system; a diesel engine sensor for collecting the power of the diesel engine; a daily load device sensor for collecting the power of the daily load device; and a propeller load sensor for collecting the power of the propeller. The battery energy storage system, the diesel engine, the propeller, and the daily load device are respectively telecommunicationly connected to the power control module via the battery energy storage system sensor, the propeller load sensor, and the daily load device sensor.

[0013] Furthermore, the system also includes a display and alarm module, which is electrically connected to the data acquisition module, the route analysis module, and the power optimization module. This module displays the ferry's real-time operating status, energy consumption, power distribution, and route information in a visually intuitive manner on the integrated control system display screen in the cockpit, allowing the crew to easily monitor the ferry's operational status. Simultaneously, when the system detects abnormal operating conditions in the diesel engine or battery storage system, or when actual operating parameters deviate from the optimized set values ​​by a certain range, the display and alarm module promptly issues audible and visual alarm signals to remind the crew to inspect and address the issue.

[0014] Compared with existing technologies, the hybrid electric propulsion ferry energy efficiency management system based on route analysis of the present invention has the following advantages: 1. Effectively reduce fuel consumption: Through detailed analysis of ferry routes, combined with real-time environmental and load information, speed and power distribution are optimized, ensuring that the diesel engine always operates in the range of highest fuel efficiency. Compared with the energy management methods of traditional hybrid electric propulsion ferries, this can significantly reduce fuel consumption.

[0015] 2. Improve the utilization rate of energy storage systems: Give full play to the "peak shaving and valley filling" role of energy storage systems, assist in discharging when the power demand of ferries is high, and charge when the power demand is low, thereby improving the cycle life and energy utilization efficiency of energy storage systems and reducing the configuration cost of energy storage systems.

[0016] 3. Reduced pollution emissions: Due to the reduction in fuel consumption, the emissions of pollutants such as carbon dioxide and nitrogen oxides from ferries are also reduced, which helps to improve the quality of the aquatic environment and meets environmental protection requirements.

[0017] 4. Improve ferry operation stability and reliability: By optimizing power distribution through intelligent algorithms, the diesel engine and energy storage system work together more stably, reducing the impact and fluctuation of the power system, improving the stability and reliability of ferry operation, reducing equipment failure rate, and extending equipment service life.

[0018] 5. Real-time monitoring and intelligent decision-making: The system can collect and analyze large amounts of data in real time, providing crew members with comprehensive and accurate ferry operation information. It also uses intelligent algorithms to make real-time decisions and optimize control, improving the level of intelligence in ferry operation management and reducing the risks caused by human error. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the architecture framework of the hybrid electric propulsion ferry energy efficiency management system based on route analysis as described in this invention.

[0020] Figure 2This is a schematic diagram illustrating the working logic of the hybrid electric propulsion ferry energy efficiency management system based on route analysis as described in this invention.

[0021] Figure 3 This diagram illustrates the energy and signal transmission of the hybrid electric propulsion ferry energy efficiency management system based on route analysis as described in this invention.

[0022] Figure 4 This is a schematic diagram of a certain flight route.

[0023] Figure 5 for Figure 4 A schematic diagram of a flight route analysis algorithm.

[0024] Among them, 1-ferry, 2-integrated control system display screen, 3-battery energy storage system, 4-diesel engine, 5-electrical system, 6-daily load equipment, 7-propeller, 8-shore power, 101-GPS sensor, 102-wind speed and direction sensor, 103-water flow speed sensor, 301-battery energy storage system charge and discharge switch, 302-battery energy storage system sensor, 401-diesel engine governor, 402-diesel engine sensor, 501-generator, 502-AC / DC converter, 503-propeller-end DC / AC converter, 504-propeller motor, 505-transformer, 506-daily load equipment-end AC / DC converter, 507-DC / DC converter, 508-DC distribution board, 601-daily load equipment sensor, 701-propeller load sensor. Detailed Implementation

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0026] like Figures 1-3As shown, a hybrid electric propulsion ferry energy efficiency management system based on route analysis includes a data acquisition module, a route analysis module, a power optimization module, and a power control module. The data acquisition module collects the ferry's position, environmental parameters, load information, and power system operating parameters, and transmits this data in real-time to the route analysis module and the power optimization module. The route analysis module dynamically updates and refines the current route based on the real-time data transmitted by the data acquisition module and the ferry's position on the route. The power optimization module continuously optimizes the speed and power allocation scheme based on the latest route analysis results and real-time power system data, and sends the optimized speed and power allocation scheme to the power control module. The power control module performs real-time control of the power system according to the instructions transmitted by the power optimization module and feeds back the actual power system operating data to the power optimization module.

[0027] The route analysis module achieves refined route analysis through a closed-loop process, specifically including: initializing and loading basic route data; fusing real-time data and verifying outliers; dynamically dividing sub-segments according to environmental parameter thresholds; correcting route deviations and predicting sub-segment resistance; and outputting sub-segment attributes and resistance data. Its specific analysis process is as follows: Step 1: Initialize and load basic route data After the system starts, the route analysis module first reads the pre-stored target route database, which contains: Route static attributes: WGS84 geographic coordinates of origin / end / waypoints (accurate to 0.0001°), length of each preset segment (unit: nautical miles), and speed limit for navigation (e.g., ≤10 knots for port entry segment); Environmental baseline values ​​for each flight segment: historical average wind speed (unit: m / s), wind direction (unit: °, with due north as 0°), water flow speed (unit: m / s) and flow direction (unit: °) for each preset flight segment, and the data is stored in seasonal (e.g., winter / summer) partitions.

[0028] After the data acquisition module transmits real-time data (GPS location, real-time wind speed / direction, real-time water flow speed / direction, and load information) to the flight path analysis module, the module first executes: Data verification: Remove outliers (e.g., if the GPS positioning jump is greater than 100 meters, use the average value of the previous 3 seconds; if the instantaneous value of the wind speed sensor is greater than 20 m / s, it is judged as a fault and backup sensor data is activated). Spatiotemporal matching: Match the real-time GPS location with the geographic coordinates of the preset route (if the error is ≤50 meters, it is determined to be "on the route"), and associate the preset route environmental reference value with the location.

[0029] The module dynamically splits or merges preset flight segments into sub-segments based on "environmental parameter change thresholds" and "geographical features": Division criteria: When the deviation between the real-time water flow velocity and the preset reference value is >0.5m / s, or the deviation between the real-time wind direction and the preset reference value is >30°, or the route passes through narrow waters (such as channel width <1 nautical mile), the sub-segment split is triggered. Sub-segment attribute generation: Assign a unique identifier to each sub-segment and record its origin and end coordinates, real-time environmental parameters (wind speed / wind direction / water flow), and average load (such as the average total weight of passengers and cargo in the last 5 minutes).

[0030] If GPS positioning shows that the ferry has deviated from the preset route, module: Calculate the corrected heading angle: Based on the real-time water flow direction and wind speed, calculate the optimal heading angle for reverting to the preset route using the "minimum resistance heading algorithm" (based on the ship maneuverability model); Predicting sub-segment resistance: Combining the real-time environmental parameters of the current sub-segment (such as water flow speed of 0.8m / s when going against the current), the pre-stored "environment-resistance correlation model" is called to predict the reference value of the ferry's navigation resistance in this sub-segment (unit: kN) and transmit it to the power optimization module.

[0031] The module packages and outputs the final analysis results to the power optimization module. The output includes: List of sub-segments (including identifier, start and end coordinates, length, and real-time environmental parameters); Predicted navigation resistance values ​​for each sub-segment; Route deviation correction suggestions (if deviations exist). Specifically, the route analysis module pre-stores multiple route information for ferry 1. The route information includes the geographical coordinates of the route's starting point, ending point, and waypoints, as well as the wind speed, wind direction, and water current speed distribution information for each sub-segment. During the ferry 1's navigation, the current navigation route is dynamically analyzed in conjunction with the real-time location information obtained by the data acquisition module. The sub-segment is a number of sub-segments into which the route is divided based on the characteristics of different segments.

[0032] In some embodiments, the power system includes a diesel engine 4 and a battery energy storage system 3, both of which are electrically connected to the power control module.

[0033] Furthermore, the power optimization module includes a speed optimization model and a power allocation optimization model. The route optimization model provides a speed adjustment scheme based on the influence of real-time water flow speed, wind speed, and wind direction on the navigation resistance of the ferry 1 in the sub-segment where the ferry 1 is located, as well as the load condition of the ferry 1. The power allocation optimization model determines the fuel consumption rate of the diesel engine 4 at different output power based on the fuel efficiency characteristic curve of the diesel engine 4, and combines the charging and discharging efficiency and current power status of the battery energy storage system 3, using intelligent algorithms to optimize the power allocation between the diesel engine 4 and the energy storage system.

[0034] Specifically, in the speed optimization model, the total resistance of the ferry consists of viscous resistance, wave-making resistance, and environmentally-added resistance. Water flow, wind speed, and wind direction affect the total resistance by altering the environmentally-added resistance; downstream / tailwind reduces resistance, while upstream / tailwind increases it. The speed optimization model is based on CFD to construct a total resistance calculation model (total resistance = viscous resistance + wave-making resistance + environmentally-added resistance). Different resistance values ​​correspond to different propulsion power, speed, and fuel consumption during the ship's navigation. Under the premise of satisfying the navigation time constraint, the optimal speed corresponding to minimum fuel consumption is determined.

[0035] In some embodiments, the speed optimization model and the power allocation optimization model are developed based on computational fluid dynamics methods, that is, fluid simulation technology is used to evaluate the ship's resistance and self-propulsion performance, and obtain the corresponding speed-power curves as data support for the speed optimization model and the power allocation optimization model.

[0036] Furthermore, the power system also includes a battery energy storage system charge / discharge switch 301 and a diesel engine governor 401. The battery energy storage system charge / discharge switch 301 and the diesel engine governor 401 are both electrically connected to the power control module, and are also electrically connected to the battery energy storage system 3 and the diesel engine 4, respectively. The generator 501 and the battery energy storage system 3 are electrically connected to the propeller 7 and the daily load equipment 6 through the electrical system 5.

[0037] Specifically, the electrical system 5 includes a generator 501, a DC / DC converter, three AC / DC converters, and a DC distribution board. The generator 501 is electrically connected to the diesel engine 4 and is connected to the DC distribution board through one of the AC / DC converters. The DC / DC converter is used to connect the battery energy storage system 3 and the DC distribution board. The DC distribution board is connected to a transformer and a propeller motor 504 respectively through two parallel AC / DC converters. The transformer is electrically connected to the daily load device 6, and the propeller motor 504 is electrically connected to the propeller 7. Both the propeller 7 and the daily load device 6 are electrically connected to the power control module.

[0038] Specifically, the data acquisition module includes a GPS sensor for real-time acquisition of the location information of ferry 1 to determine its specific position on the route; a wind speed and direction sensor 102 for collecting real-time wind speed and direction data; a water flow speed sensor 103 for measuring the speed of the water flow around ferry 1; a ship load sensor for monitoring the real-time load status of ferry 1; a battery energy storage system sensor 302 for collecting the charging and discharging status of the battery energy storage system 3; a diesel engine sensor 402 for collecting the power of the diesel engine 4; a daily load device sensor 601 for collecting the power of the daily load device 6; and a propeller load sensor 701 for collecting the power of the propeller 7. The battery energy storage system 3, the diesel engine 4, the propeller 7, and the daily load device 6 are respectively electrically connected to the power control module via the battery energy storage system sensor 302, the propeller load sensor 701, and the daily load device sensor 601.

[0039] Furthermore, the system also includes a display and alarm module, which is electrically connected to the data acquisition module, the route analysis module, and the power optimization module. This module displays the real-time operating status, energy consumption, power distribution, and route information of the ferry 1 on the integrated control system display screen 2 in the cockpit in an intuitive manner, allowing the crew to easily monitor the ferry 1's operating status. Simultaneously, when the system detects an abnormal operating state of the diesel engine 4 or the energy storage system, or when the actual operating parameters deviate from the optimized set values ​​by a certain range, the display and alarm module promptly issues an audible and visual alarm signal to remind the crew to inspect and handle the situation.

[0040] The working principle of the hybrid electric propulsion ferry energy efficiency management system based on route analysis of this invention is as follows: (1) Data initialization and route identification: Before ferry 1 sets sail, the system performs data initialization, including reading pre-stored route information and power system parameters. After ferry 1 starts sailing, the data acquisition module collects various types of data in real time, and the route analysis module quickly identifies the route that ferry 1 is currently traveling on based on the location information provided by the GPS sensor, and transmits the route information to the power optimization module.

[0041] (2) Real-time data acquisition and analysis: During the voyage of ferry 1, the data acquisition module continuously collects the ferry 1's position, environmental parameters, load information, and power system operating parameters, and transmits this data to the route analysis module and power optimization module in real time. The route analysis module dynamically updates and refines the current route based on the real-time data; for example, changes in real-time water flow speed may lead to adjustments in route segment division. The power optimization module combines the latest route analysis results and real-time power system data to continuously optimize the speed and power allocation scheme.

[0042] (3) Power Distribution and Power Control: The power optimization module sends the optimized speed and power distribution scheme to the power control module. The power control module controls the diesel engine 4 and the battery energy storage system 3 in real time according to these instructions, adjusting their output power so that the ferry 1 operates in the optimized state. At the same time, the power control module feeds back the actual power system operation data to the power optimization module so that the power optimization module can perform real-time monitoring and further optimization.

[0043] (4) Display and Alarm Processing: The display and alarm module receives data from other modules in real time and displays information such as the operating status and energy consumption of ferry 11 on the integrated control system display screen 22. If any abnormal situation occurs, an alarm signal is issued in a timely manner. The crew members make necessary interventions and adjustments to the operation of ferry 11 based on the information on the display screen and the alarm prompts.

[0044] like Figure 2 , Figure 3 , Figure 4 and Figure 5 As shown, taking a domestic route from point A to point B as an example, the technical solution will be further described.

[0045] Before ferry 1 departs, the system reads pre-stored route information, including the geographical coordinates of each segment and the estimated water current speed. After ferry 1 departs, the data acquisition module starts working. The GPS sensor provides real-time feedback on the geographical coordinates of ferry 1, the water current speed sensor 103 measures the real-time water current speed, and the daily load equipment sensor 601 monitors the real-time load of ferry 1, such as the number of passengers and the weight of cargo on this voyage.

[0046] Furthermore, based on the data acquired by the data acquisition module, the route analysis module divides the route into seven sub-segments: departure from point A, acceleration, cruising, free deceleration, forced deceleration, arrival at point B, and passenger / cargo loading / unloading at the port. The journey is divided into six segments: Segment 1 is the departure process, 0 nautical miles long, 1 minute long, with a speed range of 0 to 10 knots; Segment 2 is the acceleration process, 3 nautical miles long, 11 minutes long, with the speed increasing from 10 to 20 knots; Segment 3 is the cruising process, 34 nautical miles long, 95 minutes long, with an average cruising speed of 21.5 knots; Segment 4 is the free deceleration process, 1 nautical mile long, 2 minutes long, with the speed decreasing from 21.5 knots to 21 knots; Segment 5 is the forced deceleration process, 0.5 nautical miles long, 7 minutes long, with the speed decreasing from 20 knots to 10 knots; Segment 6 is the port entry process, 0 nautical miles long, 4 minutes long, with a speed range of 10 to 0 knots; and finally, the loading and unloading of passengers and cargo in Hong Kong and Kowloon takes 30 minutes.

[0047] Furthermore, the power optimization module receives data from the data acquisition module and the route analysis module. Based on the relationship model between the propulsion power of ferry 1 and factors such as speed, water flow speed, and load, it iteratively optimizes the speed and power allocation of generator 501 and battery energy storage system 3 for each segment, with the goal of minimizing fuel consumption. In hybrid mode, the power required for the daily load equipment 6 and propulsion load of ferry 1 is jointly provided by diesel engine 4 and battery energy storage system 3.

[0048] The core objective of power allocation optimization is to minimize the diesel engine fuel consumption rate while maintaining stable battery SOC, provided that the total power demand is met. The specific solution process is as follows: The power allocation optimization model is solved using the Particle Swarm Optimization (PSO) algorithm. With the goal of minimizing diesel engine fuel consumption, the diesel engine output power (Pengine) and battery discharge power (Pbattery) are defined as optimization variables, and a State of Charge (SOC) penalty term is introduced to avoid excessively high / low SOC. Through N particles (e.g., 30 times) and X iterations (e.g., 50 times), the model converges to the optimal power allocation scheme under power and SOC constraints, ensuring that the total power meets the demand while minimizing fuel consumption. Specifically, the diesel engine 4 generates mechanical energy, which is converted into electrical power by the generator 501. This electrical power first reaches the DC distribution board through an AC / DC converter. Subsequently, this electrical power can provide propulsion power to the thruster 7 through the DC / AC converter 503 and thruster motor 504 at the thruster end; it can also provide power to the daily load device 6 through the AC / DC converter and transformer at the daily load device 6 end.

[0049] When the battery energy storage system 3 starts discharging, this portion of electrical power first reaches the DC distribution board through a DC / DC converter. Subsequently, this portion of electrical power can provide power to the thruster 7 through the DC / AC converter 503 and the thruster motor 504 at the thruster end; it can also provide power to the daily load device 6 through the AC / DC converter and transformer at the daily load device 6 end.

[0050] Based on the output of the power optimization module, the power control module sends a control signal to the diesel engine governor 401 to adjust its speed and output power. Simultaneously, it controls the battery energy storage system charge / discharge switch 301 to ensure the battery releases a certain amount of electrical power, effectively reducing the workload of the diesel engine 4 and thus optimizing fuel consumption. During ferry 1's voyage, the operating parameters of the power system are monitored in real time and fed back to the power optimization module.

[0051] The display and alarm module displays information such as the real-time location, speed, power system operating parameters, and energy consumption of ferry 1 on the integrated control system display screen 2.

[0052] Preferably, during periods of high summer temperatures, the diesel engine 4 experiences relatively poor heat dissipation, which can negatively impact its fuel efficiency. The data acquisition module monitors the temperature of the diesel engine 4 in real time, while the power optimization module optimizes power distribution based on the fuel efficiency characteristic curve of the diesel engine 4 under high-temperature conditions. For example, during a certain flight segment, the output power of the diesel engine 4 can be appropriately reduced while increasing the discharge power of the battery energy storage system 3 to ensure that propulsion power requirements are met while reducing fuel consumption and the temperature of the diesel engine 4.

[0053] Preferably, when the number of passengers and the weight of cargo on ferry 1 increase, the daily load device sensor 601 feeds this change back to the power optimization module in real time. The power optimization module then recalculates the optimal speed and power allocation scheme for each segment. Furthermore, in segments with high propulsion loads, or in cases of flight delays, the output power of the diesel engine 4 can be appropriately increased, and the auxiliary discharge of the energy storage system can be rationally arranged according to its power status. This effectively ensures the stable operation of ferry 1, while keeping overall energy consumption at a low level.

[0054] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A hybrid electric transition bus energy efficiency management system based on route analysis, characterized in that, The system comprises a data acquisition module, a route analysis module, a power optimization module and a power control module, wherein the data acquisition module is used to acquire the position, environmental parameters, load information and operation parameters of the power system of the ferry, and transmit these data to the route analysis module and the power optimization module in real time; the route analysis module dynamically updates and refines the current route according to the real-time data transmitted by the data acquisition module and the position of the route where the ferry is located; the power optimization module continuously optimizes the speed and power distribution scheme in combination with the latest route analysis results and real-time power system data, and sends the optimized speed and power distribution scheme to the power control module; the power control module controls the power system in real time according to the instructions transmitted by the power optimization module, and feeds back the actual power system operation data to the power optimization module.

2. The route analysis based HEV electric boost regenerative energy management system of claim 1, wherein, The route analysis module realizes refined analysis of the route through a closed loop process, specifically including: initializing and loading basic route data; fusing real-time data and checking abnormal values; dynamically dividing sub-routes according to environmental parameter thresholds; correcting route deviations and predicting sub-route resistance; outputting sub-route attributes and resistance data.

3. The route analysis based HEV electric boost regenerative energy management system of claim 1 wherein, A plurality of route information of the ferry is pre-stored in the route analysis module, the route information includes geographical coordinates of the starting point, the ending point and the passing points of the route, and wind speed, wind direction and flow speed distribution information of each sub-route, during the ferry voyage, the current route is dynamically analyzed in combination with the real-time position information acquired by the data acquisition module; wherein the sub-route is a plurality of sub-routes divided according to the characteristics of different routes.

4. The route analysis based HEV electric boost regenerative energy management system of claim 3, wherein, The power system comprises a diesel engine and a battery energy storage system, and the battery energy storage system and the diesel engine are in electrical connection with the power control module.

5. The route analysis based HEV electric boost regenerative energy management system of claim 4, wherein, The power optimization module comprises a speed optimization model and a power distribution optimization model, the speed optimization model gives a speed adjustment scheme according to the influence of real-time flow speed, wind speed and wind direction of the sub-route where the ferry is located on the resistance of the ferry voyage, and the load condition of the ferry; the power distribution optimization model determines the fuel consumption rate of the diesel engine at different output powers according to the fuel efficiency characteristic curve of the diesel engine, and combines the charging and discharging efficiency of the battery energy storage system and the current power state to use intelligent algorithms to optimize and solve the power distribution of the diesel engine and the energy storage system.

6. The route analysis based HEV electric boost regenerative energy management system of claim 5, wherein, The speed optimization model and the power distribution optimization model are developed based on computational fluid dynamics method, that is, fluid simulation technology is used to evaluate the resistance and self-propulsion performance of the ship, and the corresponding speed-power curve is obtained as the data support of the speed optimization model and the power distribution optimization model.

7. The route analysis based HEV electric boost regenerative energy management system of claim 6, wherein, The power system further comprises a battery energy storage system charging and discharging switch and a diesel engine governor, the battery energy storage system charging and discharging switch and the diesel engine governor are in electrical connection with the power control module, and are respectively in electrical connection with the battery energy storage system and the diesel engine, the generator and the battery energy storage system are in electrical connection with the propeller and the daily load equipment through the electrical system.

8. The route analysis based HEV electric boost regenerative energy management system of claim 7, wherein, The electrical system comprises a generator, a direct current / direct current converter, three alternating current / direct current converters and a direct current distribution board, the generator is electrically connected with the diesel engine and connected with the direct current distribution board through the alternating current / direct current converter, the direct current / direct current converter is used for connecting the battery energy storage system and the direct current distribution board, the direct current distribution board is connected with the transformer and the propeller motor through two parallel alternating current / direct current converters respectively, the transformer is electrically connected with the daily load device, the propeller motor is electrically connected with the propeller, and the propeller and the daily load device are electrically connected with the power control module.

9. The route analysis based HEV electric boost regenerative energy management system of claim 8, wherein, The data acquisition module comprises a GPS sensor for acquiring the position information of the ferry in real time to determine the specific position of the ferry in the route; a wind speed and direction sensor for collecting real-time wind speed and direction data; a water flow speed sensor for measuring the speed of the water flow around the ferry; a ship load sensor for monitoring the real-time load condition of the ferry; a battery energy storage system sensor for collecting the charging and discharging condition of the battery energy storage system; a diesel engine sensor for collecting the power of the diesel engine; a daily load device sensor for collecting the power of the daily load device; a propeller load sensor for collecting the power of the propeller; and the battery energy storage system, the diesel engine, the propeller and the daily load device are respectively electrically connected with the battery energy storage system sensor, the battery energy storage system sensor, the propeller load sensor and the daily load device sensor and the power control module.

10. The route analysis based HEV electric boost regenerative energy management system of claim 9, wherein, The system further comprises a display and alarm module, which is electrically connected with the data acquisition module, the route analysis module and the power optimization module, and is used for displaying the real-time running state, energy consumption condition, power distribution condition and route information of the ferry on the integrated control system display screen of the cockpit in an intuitive manner, so that the crew can know the running condition of the ferry at any time; meanwhile, when the system detects that the diesel engine or the energy storage system appears abnormal working state or the actual running parameter deviates from the optimized set value by more than a certain range, the display and alarm module timely sends out sound and light alarm signals to remind the crew to check and handle.

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