Software architecture of energy consumption monitoring system, energy consumption monitoring system and energy consumption monitoring method

Abstract

The invention provides an energy consumption monitoring system software architecture, an energy consumption monitoring system and an energy consumption monitoring method.The energy consumption monitoring system software architecture comprises a data acquisition layer, a data storage layer, a data management layer, a service interface layer, a business application layer and a presentation layer; the energy consumption monitoring system further comprises a vehicle-mounted PHM host, a mobile terminal device and a high-speed network communication interface, the vehicle-mounted PHM host is provided with a hybrid power motor train unit energy consumption monitoring system software architecture, and the vehicle-mounted PHM host is connected with the mobile terminal device; according to the method, the data analyzed based on the full-real-condition actual operation data spectrum set and the high-frequency fragment characteristic parameters and the fuzzy control strategy is more comprehensive and more scientific, the data fully combines the dynamic performance and the economic performance of the vehicle, and a reasonable data basis is provided for the optimal internal combustion hybrid power energy management strategy.

Description

Technical Field

[0001] This invention belongs to the technical field of internal combustion hybrid electric multiple unit (EMU) trains, and in particular relates to a software architecture for an energy consumption monitoring system, an energy consumption monitoring system, and an energy consumption monitoring method. Background Technology

[0002] In my country's existing railway network, non-electrified railways account for over 30%, indicating that high-speed trains still hold significant potential in regional railway transportation. With continuous technological advancements, diesel-electric hybrid trains (DEPs) incorporating onboard energy storage devices have become a research hotspot due to their smaller capacity, flexible formation, and ability to operate across lines. Energy management strategies are the core of DEP technology research, and their design and optimization are crucial for improving fuel economy and reducing emissions. Currently, hybrid energy management strategies have been widely applied in the automotive sector, achieving certain results and fully meeting energy conservation and emission reduction requirements, thus becoming a means and method for energy saving and emission reduction.

[0003] my country's research and development of internal combustion hybrid electric multiple units started relatively late, referring to... Figure 1 The existing energy management strategy for diesel-electric hybrid multiple units (DMUs) suffers from a single data foundation, relying solely on empirical data and failing to fully integrate component health status, track conditions, and vehicle status, resulting in low energy conversion efficiency. Establishing a more efficient and rational energy management strategy for DMUs is an urgent problem to be solved and a requirement of railway transportation in the context of big data. Summary of the Invention

[0004] This invention aims to address the problem that existing energy management strategies rely on a single data foundation, depend solely on empirical data, and fail to fully integrate component health status, line conditions, and vehicle status, resulting in low energy conversion efficiency. Therefore, it provides an optimal energy consumption monitoring system for hybrid electric trains, ensuring that the vehicle's internal combustion hybrid power system and its key components remain in optimal operating condition, guaranteeing driving safety, extending the service life of key components and systems, and reducing maintenance costs.

[0005] To achieve the above-mentioned objectives, the present invention provides a software architecture for an energy consumption monitoring system, comprising a data acquisition layer, a data storage layer, a data management layer, a service interface layer, a business application layer, and a presentation layer;

[0006] The data acquisition layer collects data through the vehicle-mounted PHM system using the TRDP and UDP protocols via vehicle network communication.

[0007] The data storage layer is based on the configured basic database, with a time-series database as the main component, for storing vehicle data; and uses the relational database MySQL for storing business data for interaction between the vehicle PHM host and the handheld mobile terminal.

[0008] The data management layer includes TS configuration and data management, basic data management, vehicle data, and technical manuals. It is used to characterize key parameters and to analyze and process the key parameters using fuzzy control strategies to obtain the energy management and control strategy for the vehicle's internal combustion hybrid power system with the minimum energy consumption under real operating conditions, and then send it to the vehicle control unit.

[0009] The service interface layer includes CM service, TS service and HTTP interface. CM service provides vehicle model or vehicle group configuration support, TS service stores vehicle data in time series, and HTTP interface connects the vehicle PHM host and handheld mobile terminal for data interaction.

[0010] The business application layer categorizes and summarizes the collected, analyzed, and processed data.

[0011] The presentation layer displays the categorized and summarized data through handheld mobile terminals, enabling component management under optimal energy consumption of the power system. This allows maintenance personnel to better understand the status of key components, conduct targeted and directional maintenance, improve maintenance efficiency, and provide feedback on the optimal driving strategy.

[0012] The present invention also provides an energy consumption monitoring system using the above-mentioned energy consumption monitoring system software architecture, which further includes an on-board PHM host, a mobile terminal device and a high-speed network communication interface. The on-board PHM host is configured with the hybrid electric vehicle energy consumption monitoring system software architecture, and the on-board PHM host is connected to the mobile terminal device.

[0013] The present invention also provides an energy consumption monitoring method using the above-mentioned energy consumption monitoring system, comprising the following steps:

[0014] Step 1: Data Acquisition: The vehicle-mounted PHM host can collect, analyze, and store vehicle power system data in real time, perform data preprocessing, feature extraction, and performance analysis. The system data acquisition frequency is above 500ms, using TRDP or UDP protocol. The collected data includes data from various vehicle systems, circuit data, and environmental data.

[0015] Step 2: Data Fusion Analysis

[0016] 1) Preprocessing: The collected real-world train process data is cleaned, smoothed, filtered and denoised to improve the signal-to-noise ratio, invalid data is removed, and missing data is imputed. Finally, the key parameters of the power battery and internal combustion power pack system and key components under multi-dimensional real-world conditions are extracted.

[0017] 2) Key parameter characterization: Based on the universal characteristic curve of the internal combustion power pack and the charging and discharging characteristic curve of the power battery, key parameters characterize the optimal working state, minimum energy consumption and health status of the power battery system, fuel power pack and internal combustion hybrid system.

[0018] 3) Data analysis and processing: The key parameters are analyzed and processed using a fuzzy control strategy to obtain the energy management control strategy for the vehicle's internal combustion hybrid power system with the minimum energy consumption under full-scale working conditions, and then sent to the vehicle control unit to control vehicle operation.

[0019] Step 3, Data Transmission and Application: The vehicle-mounted PHM unit has a 5G communication module and an AP short rod antenna. It transmits characteristic values, performance deviation values, warning / fault data, and energy consumption data to a handheld mobile terminal for visualization and display in real time or periodically. The handheld mobile terminal interface includes a vehicle energy monitoring system interface, a power system overview interface, and a key parameter analysis interface.

[0020] Furthermore, in step three...

[0021] The vehicle energy monitoring system's functional interface is used to monitor the energy consumption of the vehicle's power system, analyze daily and cumulative consumption, and display daily maintenance suggestions.

[0022] The power system overview interface is used to display the operating status of the diesel power pack system, early warning status, fault status, and the number of charge and discharge cycles and charge and discharge time of the power battery system on the same day or under a single circuit.

[0023] The fuel power pack system health status interface is used to display fuel consumption, engine oil status, changes in turbocharged air system parameters, warning status, and fault status when the diesel power pack is in a healthy state.

[0024] The key parameter analysis interface is used to display the changing trends of the diesel power pack and subsystem power system's power output, fuel consumption, engine oil level, boost air, and the number and duration of charge and discharge cycles of the power battery system under single-route, single-day, single-week, monthly, and quarterly operation.

[0025] Compared with the prior art, the advantages of the present invention are:

[0026] (1) The data source is more objective, real, accurate and usable. The data source is more objective, real and accurate.

[0027] (2) The data based on fuzzy control strategy analysis is more comprehensive and scientific. The data fully combines the vehicle's dynamic performance and economic performance, providing a reasonable data basis for the optimal internal combustion hybrid energy management strategy, helping to achieve the minimum energy consumption operation of internal combustion hybrid, improving fuel efficiency, increasing energy conversion rate, reducing the carbon emissions of the whole vehicle, and improving the economic efficiency of train operation.

[0028] (3) The combination of vehicle health management and vehicle energy management keeps the vehicle's internal combustion hybrid power system and its key components in optimal working condition, ensuring driving safety and extending the service life of key components and systems.

[0029] (4) The visualization of the internal combustion power pack and power battery system can more intuitively, clearly and comprehensively display the operation of the internal combustion hybrid power system and key components. The large capacity of stored data enriches the full-scale working condition data set and improves the accuracy of data analysis and application.

[0030] (5) The design method of minimum energy consumption monitoring system for hybrid electric multiple unit based on fuzzy control strategy can be applied to all train energy management systems, providing research support for deep learning, dynamic adjustment and real-time feedback of energy management of internal combustion hybrid electric system. Attached Figure Description

[0031] Figure 1 Existing energy management strategies for internal combustion hybrid electric multiple units;

[0032] Figure 2 This is a block diagram of the energy consumption monitoring method of the present invention;

[0033] Figure 3 A schematic diagram representing the key parameters;

[0034] Figure 4 For the software architecture of the energy consumption monitoring system;

[0035] Figure 5 This is a schematic diagram of a handheld mobile terminal interface;

[0036] Where: P s --Power requirement for the entire vehicle; P IC --Diesel power pack output power; P B-max --Maximum continuous output power of the power battery; v s --Current speed of the train. Detailed Implementation

[0037] To better understand the purpose, structure, and function of this invention, the following detailed description, in conjunction with the accompanying drawings, provides an energy consumption monitoring system software architecture, energy consumption monitoring system, and energy consumption monitoring method.

[0038] Reference Figures 1 to 5Based on the structural characteristics of the parallel internal combustion hybrid electric multiple unit (PCM) power system, this solution deploys a central processing unit—an onboard PHM host—and mobile terminal equipment in the train maintenance network. Combined with high-speed internet interface technology, it establishes a visualized monitoring and management system encompassing energy management, fault prediction, and health management. Employing a fuzzy control strategy to obtain the optimal / healthy operating state and parameters, it achieves optimal energy consumption management for the PCM power system. The main technologies applied are as follows:

[0039] (1) Data Acquisition: The vehicle-mounted PHM host can collect, analyze, and store vehicle power system data in real time, and perform data preprocessing, feature extraction, performance analysis, etc. The system data acquisition frequency is above 500ms, using TRDP or UDP protocol. The acquired data includes data from various vehicle systems, circuit data, and environmental data. See Table 1 for specific protocol details.

[0040] (2) Data fusion analysis:

[0041] 1) Preprocessing: The collected real-world train process data is cleaned, smoothed, filtered and denoised to improve the signal-to-noise ratio, remove invalid data, and impute missing data. Finally, key parameters such as performance parameters and state characteristic values ​​of the power battery and internal combustion power pack system and key components under multi-dimensional real-world conditions are extracted.

[0042] 2) Characterization of key parameters: Based on the universal characteristic curve of the internal combustion power pack and the charging and discharging characteristic curve of the power battery, key parameters such as the optimal working state, minimum energy consumption and health status of the power battery system, fuel power pack and internal combustion hybrid system are characterized.

[0043] 3) Data analysis and processing: The key parameters are analyzed and processed using a fuzzy control strategy to obtain the energy management control strategy for the vehicle's internal combustion hybrid power system with the minimum energy consumption under full-scale operating conditions.

[0044] (3) Data transmission and application: The vehicle-mounted PHM unit has a 5G communication module and an AP short rod antenna. It transmits characteristic values, performance deviation values, warning / fault data and energy consumption data to a handheld mobile terminal for visualization and display in real time or periodically. This facilitates the acquisition of the optimal / healthy working state and parameter optimization energy management strategy of the vehicle internal combustion hybrid power system based on fuzzy control strategy, so that the key components of the internal combustion hybrid power system work in the optimal range and achieve the optimal energy consumption of the whole vehicle.

[0045] Table 1 Data Collection 1

[0046]

[0047] Table 2 Data Collection 2

[0048]

[0049]

[0050] Table 3 Data Collection 3

[0051]

[0052] Table 4 Data Collection 4

[0053]

[0054] The handheld mobile terminal interface includes a vehicle energy monitoring system, a powertrain overview interface, and a key parameter analysis interface.

[0055] 1) Vehicle Energy Monitoring System Function Interface: Includes the energy consumption status of the vehicle power system, daily and cumulative consumption analysis, and daily maintenance suggestions.

[0056] 2) Power System Overview Function Interface: Displays the operating status of the diesel power pack system, warning status, fault status, and the number of charge and discharge cycles and charge and discharge time of the power battery system for the current day or a single route.

[0057] 3) Fuel power pack system health status interface: 2) Displays the parameter changes, warning status, and fault status of key subsystems such as fuel consumption, engine oil status, and boost air in the health status of the diesel power pack.

[0058] 4) Key parameter analysis interface: Displays the changing trends of key parameters and indicators of the diesel power pack and subsystems mentioned in 2) and 3) such as power system operating power, fuel consumption, engine oil level, boost air, and power battery system charge and discharge cycles and time under single-route, single-day, single-week, monthly and quarterly operation.

[0059] (4) Business Implementation - Software Architecture:

[0060] 1) The data acquisition layer of the vehicle PHM system supports data acquisition using vehicle network communication with TRDP and UDP protocols.

[0061] 2) The data storage layer uses a basic database (covering configuration, parameters, communication protocols, etc.) as the foundation and a time series database (TS database) as the main body to store vehicle data; and uses a relational database MySQL to store business data for interaction between the vehicle PHM host and the handheld mobile terminal.

[0062] 3) Data Management Layer: TS database configuration and data management, basic data management (vehicle model / team data, configuration data, communication protocol data, alarm settings, etc.), vehicle data (system parameters, fault data, early warning data), technical manuals (emergency operation manuals, etc.).

[0063] 4) The CM service at the service interface layer provides vehicle / train configuration support, the TS data service stores vehicle data in time series, and the HTTP interface connects the vehicle PHM host and the handheld mobile terminal for data interaction.

[0064] 5) The business application layer displays relevant data through handheld mobile terminals, enabling component management under optimal energy consumption of the power system. This allows maintenance personnel to better understand the status of key components, conduct targeted and directional maintenance, improve maintenance efficiency, and provide feedback on the optimal driving strategy.

Claims

1. An energy monitoring system software architecture, characterized by: It comprises a data acquisition layer, a data storage layer, a data management layer, a service interface layer, a business application layer and a presentation layer. The data acquisition layer acquires data through the vehicle-mounted PHM system using the TRDP protocol and the vehicle-mounted network communication data acquisition using the UDP protocol; The data storage layer stores vehicle-mounted data based on a configured basic database and mainly uses a time series database; the relational database MySQL is used to store the business data exchanged between the vehicle-mounted PHM host and the handheld mobile terminal; The data management layer comprises TS configuration and data management, basic data management, vehicle-mounted data and technical manual, is used to characterize key parameters, analyze and process the characterized key parameters using a fuzzy control strategy, obtain the energy management control strategy of the whole vehicle internal combustion hybrid power system with the minimum energy consumption in the full true working condition and send it to the vehicle-mounted control unit; The service interface layer comprises CM service, TS service and HTTP interface, the CM service provides vehicle type or vehicle group configuration support, the TS service stores vehicle-mounted data in time series, and the HTTP interface connects the vehicle-mounted PHM host and the handheld mobile terminal for data exchange; The business application layer classifies and summarizes the analyzed and processed data; The presentation layer displays the classified and summarized data through the handheld mobile terminal, realizes the component management under the optimal energy consumption of the power system, enables the maintenance personnel to better understand the state of the key components, has a targeted and inclined maintenance and improves the maintenance efficiency, and meanwhile, feeds back the optimal driving strategy.

2. An energy consumption monitoring system employing the energy consumption monitoring system software architecture of claim 1, characterized by: It also comprises a vehicle-mounted PHM host, a mobile terminal device and a high-speed network communication interface, the vehicle-mounted PHM host is provided with a hybrid power train energy consumption monitoring system software architecture, and the vehicle-mounted PHM host is connected with the mobile terminal device.

3. An energy consumption monitoring method using the energy consumption monitoring system according to claim 2, characterized by: It comprises the following steps: Step one, data acquisition: the vehicle-mounted PHM host can acquire, analyze and store vehicle power system data in real time, perform data preprocessing, feature extraction and performance analysis, the system data acquisition frequency is above 500 ms, the TRDP or UDP protocol is used, and the acquired data content comprises vehicle system data, line data and environmental data; Step two, data fusion analysis: 1) preprocessing: the collected full true working condition train process data is cleaned, smoothed, filtered and denoised, the data signal-to-noise ratio is improved, invalid data is removed, missing data is interpolated, and finally the key parameters of the power battery, internal combustion power pack system and key components in the multi-dimensional full true working condition are extracted. 2) key parameter characterization: based on the internal combustion power pack universal characteristic curve and the power battery charging and discharging characteristic curve, the key parameters of the power battery system, the fuel power pack, the internal combustion hybrid power system, the best state of collaborative work, the minimum energy consumption and the health condition are characterized. 3) data analysis and processing: the characterized key parameters are analyzed and processed using a fuzzy control strategy, the energy management control strategy of the whole vehicle internal combustion hybrid power system with the minimum energy consumption in the full true working condition is obtained, and is sent to the vehicle-mounted control unit for controlling the vehicle operation; Step three, data transmission and application: the vehicle-mounted PHM unit has a 5G communication module and an AP short rod antenna, and sends the characteristic value, performance deviation value, early warning / fault data and energy consumption data to the handheld mobile terminal for visual application and display through real-time or periodic transmission. The handheld mobile terminal interface includes a vehicle energy monitoring system, a power system overview interface and a key parameter analysis interface.

4. An energy consumption monitoring method according to claim 3, characterized in that: in the step three The vehicle energy monitoring system function interface is used for analyzing the energy consumption of the vehicle power system, the daily consumption and the cumulative consumption, and displaying the daily operation and maintenance suggestions. The power system overview function interface is used for displaying the running state, early warning situation, fault situation and the number of charging and discharging times and charging and discharging time of the diesel power pack system in a day or a single route to represent the running state of the power system. The fuel power pack system health condition interface is used for displaying the fuel consumption, oil condition, parameter change of the supercharged air system, early warning situation and fault situation under the health state of the diesel power pack. The key parameter analysis interface is used for displaying the change trend of the working power, fuel consumption, oil level, supercharged air, charging and discharging number and time of the diesel power pack and the subsystem power system in a single route, a single day, a single week, a month and a quarter.

Images