Electric Vehicle Rider Detection for Keyless Motor Enablement
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Solution Overview
Problem
Conventional electric vehicle control methods are complex and result in poor user experience due to multiple operation steps and the need for mechanical keys and remote controllers.
Innovation Solution
A method for controlling an electric vehicle that detects first predetermined information indicating a rider's presence to automatically switch the motor control from a shielded to an unshielded state, allowing the vehicle to be ridden without manual activation of the speed control component, and uses wireless communication or biological detection for unlocking, eliminating the need for mechanical keys.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If regenerative braking is used to recover kinetic energy during deceleration, then energy efficiency is improved, but mechanical stress on the powertrain increases due to frequent stopping and starting
Solution Approach 1:
The patent implements dynamic adjustment of the start-stop function based on real-time vehicle state monitoring. The control unit dynamically decides whether to activate start-stop mode by evaluating multiple parameters including battery charge level, vehicle speed, acceleration rate, and driver behavior patterns. This dynamic approach allows the system to optimize energy recovery while avoiding excessive mechanical stress by adapting to current operating conditions rather than applying fixed regenerative braking rules.
Solution Approach 2:
The system changes operational parameters by adjusting the threshold values for activating start-stop functions based on battery state of charge, temperature conditions, and vehicle usage patterns. When battery charge is low or temperature is extreme, the system raises the threshold for regenerative braking activation to reduce mechanical stress. The control unit modifies these parameters in real-time to balance energy efficiency gains with powertrain protection.
2Loss of energy
If start-stop function is frequently activated to save energy, then energy consumption is reduced, but driver comfort deteriorates due to frequent interruptions
Solution Approach 1:
The patent incorporates feedback mechanisms that monitor driver behavior patterns, acceleration requests, and braking patterns to determine when start-stop activation is appropriate. The control unit learns from driver responses and adjusts start-stop frequency accordingly. If the driver frequently requests acceleration or exhibits aggressive driving patterns, the system reduces start-stop activation to maintain comfort. This feedback loop enables the system to personalize energy savings to each driver's preferences and habits.
Solution Approach 2:
The system performs preliminary assessment of driving conditions and driver intent before activating start-stop functions. The control unit predicts whether upcoming acceleration or braking maneuvers are likely based on current vehicle state, road gradient, and traffic patterns. By anticipating driver needs, the system avoids activating start-stop at inopportune moments that would disrupt driving flow, thereby maintaining comfort while still capturing energy recovery opportunities.
3Reliability
If battery charge level is maintained at high threshold before enabling start-stop, then powertrain reliability is improved, but energy recovery efficiency decreases
Solution Approach 1:
The patent implements dynamic threshold adjustment for battery charge level based on real-time monitoring of battery health, temperature, and state of charge. The control unit continuously adapts the minimum charge threshold required to enable start-stop functions. When battery health is excellent and temperature is optimal, the system lowers the threshold to maximize energy recovery. When battery condition deteriorates or temperature extremes occur, the threshold rises to protect powertrain reliability. This dynamic adaptation resolves the contradiction by making the threshold flexible rather than fixed.
Solution Approach 2:
The system changes the charge level threshold parameter based on multiple influencing factors including battery cycle count, internal resistance, ambient temperature, and state of charge. The control unit modifies this parameter in real-time to balance reliability and efficiency. For example, in moderate temperatures with healthy batteries, the threshold may be set at 20% charge level to maximize recovery. In extreme cold or hot conditions, or when battery health is degraded, the threshold increases to 30-40% to ensure reliability. This parameter adaptation enables the system to optimize both objectives under different operating conditions.
Data Source
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AI summary
A method for controlling an electric vehicle and the electric vehicle are provided. The method includes: under a condition in which the electric vehicle is in unlocked and motor control shielded states, first predetermined information is detected, wherein the first predetermined information is used for indicating that a rider is located on the electric vehicle; the electric vehicle is controlled to switch from the motor control shielded state to a motor control unshielded state; a predetermined control signal is received in the motor control unshielded state; and a motor of the electric vehicle is controlled to rotate according to a rotational speed corresponding to the predetermined control signal. With the invention, the problems of complex operation and poor user experience of a manner for controlling the electric vehicle in the related art are solved.