Electric Vehicle Energy Mode Switching
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Solution Overview
Problem
Electric bicycles face challenges in optimizing energy use based on the remaining battery capacity and user-defined target distances or times, leading to inefficient driving modes and potential inability to reach desired destinations.
Innovation Solution
An electric vehicle system that includes a battery, a motor, a remaining energy detector, a manipulation unit, a guide information generator, and a display unit, which calculates and displays optimal driving distances and times based on the battery's energy and user input, allowing the vehicle to operate in modes using either electric energy or user-applied torque to ensure efficient travel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of moving object
If the electric vehicle operates in the first mode using only battery energy, then the driving distance can be extended, but the driving time increases and cannot meet urgent arrival requirements
Solution Approach 1:
The system dynamically switches between first mode (battery-only) and second mode (battery + user torque) based on real-time comparison between remaining driving distance and target distance, enabling adaptive optimization of both range and time efficiency
Solution Approach 2:
The system changes operational parameters by switching between different operation modes (first mode with only electric energy, second mode with electric energy and user torque) to adjust the balance between driving distance and driving time
2Loss of time
If the electric vehicle operates in the second mode using battery energy and user torque, then the driving time is reduced, but the user effort increases
Solution Approach 1:
The system dynamically adjusts the requirement for user torque based on whether the remaining distance exceeds the target distance, reducing user effort when battery energy suffices and requesting additional torque only when necessary to meet time constraints
3Productivity
If the system provides accurate driving guidance based on remaining energy and target information, then the driving efficiency is improved, but the system complexity increases
Solution Approach 1:
The controller performs multiple functions including detecting remaining distance, receiving target distance, comparing values, determining operation modes, and providing guidance, consolidating these capabilities in a single control unit to minimize system complexity while maximizing driving efficiency
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides optimal driving guidance, ensuring the electric vehicle can efficiently complete user-defined distances or times by switching between energy modes, maximizing battery usage and minimizing user effort, thereby enhancing the usability and range of electric bicycles.
Implementation Method 1
a battery configured to provide electric energy to the motor
Implementation Method 2
wheels which are rotated by a motor. The motor receives electricity from a battery
Data Source
AI summary
An electric vehicle and a method of controlling the electric vehicle are disclosed. In one embodiment, the electric vehicle includes i) a battery configured to provide electric energy to the motor, ii) a remaining energy-amount detector configured to detect a remaining energy-amount of the battery and iii) a manipulation unit configured to receive target information from a user. The vehicle also includes a guide information generator configured to generate driving guide information based at least in part on the remaining energy-amount of the battery and the target information and a display unit configured to display the driving guide information.