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Integrated Systems And Specialized Vehicles
Integrated Systems And Specialized Vehicles
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Industrial Intelligence
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Intelligent Transportation
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Vehicle Electronic Archive System
Overview
In advanced autonomous driving scenarios and Mobility as a Service (MaaS) operations, the status of autonomous vehicles directly impacts overall operational safety and efficiency. Therefore, an electronic archive system capable of multi-dimensional prediction and analysis of vehicle metrics is of importance.
Developed by Jingwei Hirain, the Vehicle Electronic Archive is an integrated system that aggregates detailed vehicle data, analyzes and predicts various vehicle indicators, and supports operators in vehicle operation management. It enables the collection and analysis of multi-dimensional data, including vehicle hardware/software versions, component hardware/software versions, OTA updates, diagnostics, calibration, and application upgrades. Additionally, by collecting full-volume real-vehicle messages and integrating multiple heterogeneous model algorithms, the system monitors, analyzes, and predicts multi-condition data and health status of vehicle batteries, energy consumption, and chassis—including but not limited to vehicle faults, battery lifespan, battery energy consumption, driving and braking performance, and steering consistency. This supports vehicle fault management, health management, intelligent operation and maintenance, remote upgrades, and remote diagnostics, thereby achieving data closed-loop.
Technical Advantages
- Based on the Spring Cloud microservices architecture, it reasonably splits into core tool layers, intermediate business layers, and basic function layers.
- Comprehensive data capability enables containerized integration of multiple heterogeneous algorithms, while integrating vehicle data such as L4, OTA, and BOM.
- Timely response supports multiple technical synchronous messages including HTTP, MQTT, and Kafka, enabling rapid aggregation of vehicle data.
- Full CAN data dumping involves pulling fully parsed vehicle messages, followed by data cleaning and storage.
- Message data compression adopts hot-cold separation storage to achieve reasonable compression of original messages.
- Heterogeneous health control algorithm architecture design interfaces and adapts to various heterogeneous health control algorithms based on data messages.
Software Lifecycle Management
- Architectural Features
» Modular integration design for flexible dock with multiple systems such as FOTA/SOTA/DOTA
» Support for multiple data synchronization methods (REST, KAFKA)
» Support for active real-time data synchronization and passive supplementary data synchronization
» Containerized deployment based on Docker/docker-compose/Kubernetes
» The platform system features high availability, high performance, scalability, and monitorability.
- Functional Features
» Manage vehicle information, vehicle-level software/hardware version information, component-level software/hardware information, application information, and vehicle topology information.
» Aggregate and statistics vehicle controller upgrade records and change history.
» Aggregate and statistics vehicle diagnosis, calibration, application installation, application uninstallation records and change history.
Battery and Energy Consumption Health & Chassis Condition Monitoring
- Architecture Features
» Microservice-based platform architecture with high cohesion and low coupling between services
» Embedded data analysis algorithms supporting multiple data format interfaces
» Capable of integrating various heterogeneous algorithms to enable rapid algorithm iteration
» One-stop streaming data processing for message data pulling, analysis, cleaning, and storage
» Support for multiple time-series data storage solutions, enabling fast storage and retrieval of hundreds of millions of data points
» Elegant visualization design on the front end based on Vue and Echarts
» DevOps cloud-native technologies for rapid application building and deployment
- BMS Functional Features
» Access to battery energy consumption analysis scripts to output battery life and vehicle range data
» Support for vehicle fault information and alarm distribution analysis
» Support for battery life distribution and average consistency statistics
» Support for statistics on used and remaining vehicle range
» Support for vehicle energy consumption analysis and driving distance statistics
» Support for flexible export of various original battery indicator data of the vehicle
- VCU Functional Features
» Output of performance indicator data via chassis control algorithm script integration
» Support for vehicle health status monitoring, including data such as steering angle and zero-offset voltage
» Support for vehicle driving and braking performance monitoring
» Support for vehicle steering and vehicle consistency monitoring
» Support for comparative display of monitoring indicators for single/multiple vehicles
» Support for export of detailed data, including vehicle health data, driving/braking performance, and steering consistency.
Message Subscription and Push
- Functional Features
» Supports integration of associated data and information based on core fields such as VIN.
» Provides real-time push notifications for vehicle remote upgrade/remote diagnosis progress.
» Offers daily/weekly/monthly/quarterly aggregated calculations and message pushes for vehicle operation and maintenance metrics.
» Encapsulates a standard protocol layer to enable data interaction with external platform systems.
Summary
At present, Jingwei Hirain Vehicle Electronic Archive System has been put into application in the unmanned horizontal transportation systems of multiple smart ports. It continuously provides rich vehicle electronic archive information and data, offering services such as visual dashboards, monitoring, and health management to R&D, testing, and operation personnel.
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