Electric Vehicle Speed Zone Optimization for Energy Conservation
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Solution Overview
Problem
Electric vehicles face challenges in efficiently managing battery power due to longer charging times and insufficient infrastructure, often resulting in vehicles being unable to reach destinations when energy consumption is not optimized, leading to potential towing.
Innovation Solution
A method for optimizing electric vehicle travel by setting an ultra power saving mode that calculates and displays the destination reachable vehicle speed zone, adjusting torque to maintain optimal speed, and guiding the vehicle to minimize energy consumption, while also determining if the vehicle can reach the destination with the current battery charge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the driver travels at high speed to reduce travel time, then the travel time is reduced, but the energy consumption increases and the vehicle may not reach the destination
Solution Approach 1:
The system dynamically adjusts the recommended speed range based on real-time battery SOC levels and remaining distance calculations. As the vehicle approaches the destination or battery level decreases, the system automatically narrows the speed zone to ensure energy conservation while still providing useful guidance to the driver.
Solution Approach 2:
The system changes the speed parameter dynamically by calculating a specific speed zone (minimum and maximum speeds) that optimizes energy consumption. This parameter adjustment is based on continuous monitoring of battery state and distance to destination, transforming the fixed speed concept into a variable optimization range.
2Device complexity
If the vehicle displays only simple Distance To Empty calculation, then the display complexity is low, but the driver lacks guidance on optimal speed for minimizing power consumption
Solution Approach 1:
The system segments the speed information into a specific zone with minimum and maximum boundaries, making complex energy optimization data visually manageable. This segmentation transforms overwhelming continuous data into discrete, actionable guidance that drivers can easily understand and follow.
Solution Approach 2:
The system adds a new dimension to the display by introducing a speed zone concept rather than simply showing distance. This dimensional transformation converts a one-dimensional distance metric into a two-dimensional guidance system that incorporates both distance and optimal speed ranges.
3Duration of action of stationary object
If the battery charged amount is not efficiently managed, then the charging time is long and infrastructure is insufficient, but the vehicle cannot reach the desired destination
Solution Approach 1:
The system performs preliminary calculations of energy consumption and distance-to-empty before the battery is fully depleted. By proactively monitoring and guiding speed adjustments in advance, the system prevents the critical situation of running out of power, allowing drivers to reach destinations without needing immediate charging infrastructure.
Data Source
AI summary
A method for optimizing the traveling of an electric vehicle may include setting an ultra power saving mode for controlling the traveling of an electric vehicle by minimizing consumed energy when a State Of Charge (SOC) of a high voltage battery is equal to or smaller than a predetermined SOC, calculating traveling energy required for traveling from a current location to a destination by a control unit of the electric vehicle, determining whether or not to reach the destination with the energy of the high voltage battery, and calculating a destination reachable vehicle speed zone that calculates a maximum speed and a minimum speed that can reach the destination.