Blockchain Emission Tracking for Hybrid Vehicles
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Solution Overview
Problem
There is a need to document the operating states of hybrid electric vehicles in a reliable and secure manner, particularly within environmental zones, to ensure compliance with air cleanliness regulations and to determine emission-dependent toll fees.
Innovation Solution
A computer-implemented method using blockchain technology to read and transmit position and operating data of hybrid electric vehicles, combining these into data blocks that are added to a blockchain, allowing secure and tamper-proof documentation of emission states and enabling emission-dependent toll fee calculations and driver notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If hybrid electric vehicles operate in environmental zones, then vehicle mobility is improved, but emission compliance and air quality are worsened
Solution Approach 1:
The system continuously monitors vehicle position and operating state, compares them against environmental zone boundaries and emission thresholds, and provides feedback through notifications to the driver. This feedback loop enables real-time compliance monitoring and corrective action, allowing vehicles to maintain mobility while managing emissions through informed driving behavior adjustments.
2Device complexity
If traditional data storage methods are used for tracking vehicle emissions, then system complexity is reduced, but data reliability and security are worsened
Solution Approach 1:
The patent replaces traditional centralized database storage with a blockchain-based distributed ledger system. This substitution transforms the data storage mechanism from a vulnerable centralized structure to a secure decentralized network, where data is cryptographically hashed and distributed across multiple nodes, ensuring immutability and enhanced reliability without requiring complex centralized security infrastructure.
3Measurement precision
If detailed position and operating data are continuously recorded, then emission tracking precision is improved, but data processing requirements and system complexity are worsened
Solution Approach 1:
The system extracts only the essential data elements needed for emission compliance verification—specifically position data and operating state data—and stores them on the blockchain. Non-essential detailed data remains in local vehicle memory, separating critical compliance data from auxiliary information. This extraction approach maintains tracking precision while reducing the burden of processing and storing comprehensive datasets.
Data Source
AI summary
Described herein are systems and methods for the provision of data particularly for use in generating a blockchain environment for tracking emissions of a hybrid electric vehicle. The systems and methods include reading in position data representing a geographical position of a hybrid electric vehicle, reading in operating data representing an operating state of a drivetrain of the hybrid electric vehicle, forming a data block at least comprising the position data and the operating data, and adding the data block to a blockchain.