Driving Assistant System Reserve Energy Warning
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Solution Overview
Problem
Hybrid electric and electric vehicles face challenges in ensuring timely arrival at charging stations due to insufficient energy reserves, as users may not proactively respond to low battery warnings, and accidental conditions like traffic jams can deplete remaining energy, leading to vehicle stranding.
Innovation Solution
A driving assistant system that provides a warning signal when residual energy capacity reaches a tolerance threshold, allowing users to take proactive action and release reserve capacity to reach nearby charging stations, even in adverse conditions like traffic jams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the vehicle displays residual energy information to the user, then the user can judge whether to go to charging stations, but the user may not timely discover that the charging station cannot be reached and the vehicle may be stranded
Solution Approach 1:
The system continuously monitors residual energy and compares it with required energy for reaching charging stations, providing dynamic feedback through warning signals when the residual energy approaches the tolerance threshold. This closed-loop feedback mechanism ensures timely user notification and prevents vehicle stranding.
Solution Approach 2:
The system calculates the required energy capacity in advance based on distance to charging stations and vehicle energy consumption characteristics. By determining the tolerance threshold beforehand and monitoring against it, the system enables proactive user decision-making before energy depletion occurs.
2Reliability
If the vehicle releases reserve capacity to reach charging stations, then the vehicle can arrive even under accidental conditions, but the reserve capacity may be depleted before reaching the charging station
Solution Approach 1:
The system pre-calculates the required energy capacity based on distance to charging stations and vehicle consumption characteristics. By determining the tolerance threshold in advance, the system enables proactive user decision-making to release reserve capacity at the optimal moment, ensuring arrival at charging stations while preserving adequate energy reserves.
3Ease of operation
If the user takes action based on displayed information, then the user can respond to energy status, but the user may not proactively make feedback to the vehicle according to the prompt of the vehicle
Solution Approach 1:
The system provides clear warning signals with specific tolerance threshold information, creating an intuitive feedback loop that guides user decision-making. This reduces the cognitive burden on users and enables timely, informed actions to prevent vehicle stranding.
Data Source
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Figure 3A~3D
AI summary
A driving assistant method for a vehicle comprising a driving assistant system and an energy storage device, which comprises the following steps: providing a warning signal by the driving assistant system, if residual capacity of the energy storage device reaches a tolerance status which is determined by comparison between the residual capacity of the energy storage device and required energy capacity for supporting the vehicle to reach the next available at least one energy supply station, and releasing reserve capacity of the energy storage device according to the warning signal. Furthermore, a driving assistant system for a vehicle and a vehicle having the same.