Vehicle Energy Efficiency Analysis by Driving State Segmentation
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Solution Overview
Problem
Current methods for evaluating motor vehicle energy efficiency are largely dependent on vehicle weight and driving cycles, which do not accurately represent real-world usage, leading to inefficiencies and increased emissions.
Innovation Solution
A system and method that segment complex driving processes into distinct elements and states, allowing for the determination of characteristic energy efficiency values independent of driving cycles, enabling the categorization and optimization of individual vehicle components and their interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If standardized driving cycles are used for energy efficiency evaluation, then testing and evaluation can be simplified and standardized, but the results do not accurately represent real-world usage conditions
Solution Approach 1:
The patent segments the driving process into distinct driving states (e.g., acceleration, deceleration, constant speed, idling) and evaluates energy efficiency for each state separately. This allows the system to capture real-world variability while maintaining systematic evaluation. The segmentation enables accurate representation of actual driving conditions without requiring complex standardized cycles.
2Use of energy by moving object
If complex control strategies are implemented to optimize energy consumption, then energy efficiency can be improved, but development, calibration and validation expenditures increase dramatically
Solution Approach 1:
The patent implements self-service through automated data collection from vehicle sensors and autonomous analysis by the processing device. The system automatically evaluates energy efficiency across different driving states without requiring extensive manual calibration or validation. This reduces development and validation expenditures while still enabling sophisticated energy optimization strategies.
3Device complexity
If energy efficiency is evaluated based on vehicle weight and driving cycles, then a simple classification system can be established, but the evaluation does not provide information on individual component contributions to energy efficiency
Solution Approach 1:
The patent segments the vehicle into individual apparatus and components (e.g., powertrain, steering, drive device, auxiliary equipment) and evaluates the energy efficiency contribution of each segment separately. This detailed segmentation provides comprehensive component-level information while maintaining a structured evaluation framework that can be scaled to different levels of complexity.
4Reliability
If standardized testing conditions are used for emission and consumption testing, then regulatory compliance can be achieved, but the results may not reflect actual driving conditions and lead to optimization gaps
Solution Approach 1:
The patent employs dynamic evaluation by continuously monitoring and analyzing energy consumption and emissions across multiple driving states under varying operating conditions. This dynamic approach maintains regulatory compliance through systematic evaluation while simultaneously adapting to real-world driving variability, providing both reliability and versatility.
Data Source
AI summary
The invention relates to a system (1) for analyzing an energy efficiency of a motor vehicle (2), having: a first device (4a, 4b), in particular a sensor, configured to detect a first data set of at least one first parameter, which is suitable to characterize energy consumed by at least one apparatus A, in particular a steering system or drive device (3); a second device (5a, 5b, 5c, 5d), in particular a sensor, configured to detect a second data set of at least one second parameter, which is suitable to characterize an operating state of the at least one apparatus A; a third device (6), configured to detect a third data set of at least one third parameter, which is suitable to characterize at least one driving state of the vehicle (2); a first comparison device (7), in particular part of a data processing device, configured to compare the values of the second data set with predefined parameter ranges which correspond to at least one operating state, and to compare the values of the third data set with predefined parameter ranges which correspond to at least one driving state; an allocation device (8), in particular part of the data-processing device, configured to allocate the values of the first data set and the values of the second data set to the respectively present at least one driving state; and a processing device (9), in particular part of the data-processing device, configured to determine at least one first characteristic value which characterizes at least the energy efficiency of the at least one apparatus A on the basis of the first data set and the second data set as a function of the at least one driving state.