Vehicle Range Optimization via Dynamic Consumption Control
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Solution Overview
Problem
Drivers of motor vehicles face challenges in predicting whether they can reach their destination without refueling or recharging, especially with the limited availability of quick charging columns for electric vehicles, leading to potential delays and uncertainties.
Innovation Solution
A method and system that detect the specified destination and determine the residual range of the vehicle, activating a consumption-optimizing mode to automatically reduce fuel or energy consumption by evaluating and adjusting measures such as driving style warnings, power output, torque, speed, and system usage until the destination is reached, ensuring the vehicle reaches the threshold range with minimal driver restriction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driver maintains normal driving performance and comfort functions, then the driving experience is satisfactory, but the residual range may be insufficient to reach the destination
Solution Approach 1:
The system dynamically adjusts driving parameters and comfort functions based on real-time conditions and predicted residual range. The control device modifies acceleration rates, top speeds, and comfort function availability dynamically throughout the journey, transitioning from normal mode to range-optimization mode as needed, rather than applying static restrictions.
Solution Approach 2:
The system changes multiple operating parameters simultaneously including acceleration characteristics, maximum speed, gear selection, and comfort function power consumption. These parameter changes are coordinated to optimize residual range while maintaining acceptable driving performance until the destination is reached.
2Reliability
If the system automatically reduces consumption by restricting driver performance, then the residual range is sufficient to reach the destination, but the driver autonomy and driving experience are reduced
Solution Approach 1:
The system continuously monitors actual residual range, driving behavior, and comfort function usage, then provides feedback to the driver through warnings and notifications. This feedback loop allows the driver to understand the impact of their actions on range and adjust behavior voluntarily, preserving autonomy while achieving range goals.
Solution Approach 2:
The system applies consumption-reducing measures selectively rather than uniformly. Normal driving performance is maintained when sufficient range exists, and restrictions are applied partially or progressively only when predicted residual range becomes critical, preserving driver autonomy during normal operation.
3Reliability
If the driver detours to charging columns or fuel stations, then the vehicle can be refueled or recharged, but significant time is lost due to detours and prolonged charging
Solution Approach 1:
The system performs preliminary calculations of residual range and identifies potential energy supply needs before they become critical. By predicting future range requirements based on route, traffic, and driving patterns, the system can plan optimal timing and location for charging or refueling stops in advance, minimizing detours and waiting time.
Solution Approach 2:
The system automatically manages energy consumption without requiring driver intervention for charging decisions. The control device autonomously adjusts driving parameters, monitors residual range, and determines when and where to stop for charging or refueling, reducing the time and effort the driver must spend on these tasks.
4Reliability
If the system continuously evaluates and adjusts consumption measures, then the residual range is optimized to reach the destination, but the system complexity increases
Solution Approach 1:
The control device performs multiple functions using a single integrated system: it calculates residual range, predicts future consumption, adjusts driving parameters, controls comfort functions, and provides driver warnings. This multi-functionality reduces the need for separate dedicated systems for each function, managing complexity while achieving comprehensive range optimization.
Data Source
AI summary
A method for operating a motor vehicle by detecting a destination input by a motor vehicle occupant; and determining which residual range of the motor vehicle will be indicated at the destination. If the determined residual range is less than a predetermined threshold value, the motor vehicle is operated in a consumption optimizing mode during which the motor vehicle is operated to carry out automatic measures for reducing the consumption of the motor vehicle until reaching the destination.
