EV Drowsiness Control Using Brain Waves and Sleep Charging
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Solution Overview
Problem
Existing electric vehicles face challenges in determining driver drowsiness accurately and providing a quality sleep environment without excessive battery consumption, leading to potential accidents and inefficient power usage.
Innovation Solution
An electric vehicle system that analyzes brain waves to determine drowsiness, guides the driver to a sleeping area, and optimizes battery usage by controlling engine operation and temperature settings to minimize noise and vibration, while reducing unnecessary power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If drowsiness notification function is implemented using time setting or camera, then the system can detect potential drowsiness, but it cannot accurately determine whether the driver is actually drowsy
Solution Approach 1:
The patent replaces mechanical/optical detection methods (camera-based eye tracking) with physiological signal detection (brain wave analysis). This substitution enables more accurate determination of actual drowsiness state by directly measuring neural activity rather than inferring from external observations, thereby resolving the contradiction between detection accuracy and system complexity.
Solution Approach 2:
The patent introduces an intermediary device (brain wave sensor and analysis system) that mediates between the driver's physiological state and the drowsiness determination. This intermediary provides objective, real-time measurement of drowsiness through brain wave patterns, overcoming the limitations of both time-based estimation and camera-based observation.
2Ease of operation
If the vehicle engine is turned on and off repeatedly at sleeping areas, then the driver can sleep, but noise and vibration are caused degrading sleep quality
Solution Approach 1:
The patent applies preliminary action by fully charging the battery before the vehicle enters the sleeping area, ensuring sufficient energy is stored to maintain air conditioning and other systems throughout the sleep period without requiring engine operation. This advance preparation eliminates the need for repeated engine start-stop cycles during sleeping, thereby removing noise and vibration harmful factors.
Solution Approach 2:
The patent creates a self-sufficient energy system that copies the functionality of traditional generator-based power supply but uses battery storage instead. This allows the vehicle to maintain sleep environment conditions (temperature, air quality) without mechanical engine operation, eliminating harmful noise and vibration while preserving sleep availability.
3Object-affected harmful factors
If the battery is used to power the vehicle and auxiliary systems, then less noise and vibration are produced, but the battery drains quickly due to various electric loads
Solution Approach 1:
The patent implements preliminary charging actions at multiple stages: charging the battery to high state of charge before entering sleeping areas, and strategically charging during driving phases. This advance energy preparation ensures sufficient power availability for extended periods of vehicle operation with minimal engine use, thereby maintaining low noise and vibration while managing battery consumption rates.
Solution Approach 2:
The patent maintains continuous useful action by keeping the battery in a charged state through strategic charging opportunities during driving. This continuous energy availability allows the vehicle to operate in electric mode for extended periods without interruption, sustaining low noise and vibration levels while managing battery consumption through ongoing energy replenishment.
4Ease of operation
If the air conditioning system operates continuously to maintain sleep environment, then comfortable sleep is provided, but battery power is consumed rapidly
Solution Approach 1:
The patent applies preliminary action by pre-charging the battery to high state of charge before the vehicle enters the sleeping area and pre-adjusting the air conditioning system to optimal sleep conditions. This advance preparation ensures comfortable temperature and air quality are maintained throughout the sleep period without requiring excessive battery power during the actual sleep time, thereby resolving the contradiction between sleep comfort and power consumption.
Data Source
AI summary
An electric vehicle may include logic for drowsiness prevention via brain wave analysis of a driver. A method for controlling the electric vehicle may include determining whether a driver needs to sleep based on a result of analyzing a brain wave of the driver. The method may also include changing a destination to a sleeping area based on selection of the driver when it is determined that the driver needs to sleep. The method may further include controlling a state of charge of a battery during travel to the sleeping area or after stopping at the sleeping area and controlling a sleep environment.