EV Speed Recommendation Using Route and SoC Prediction
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Solution Overview
Problem
Existing electric vehicles lack a proactive method to determine an optimal speed for reaching a destination while conserving power, necessitating users to estimate and potentially reduce speed unnecessarily to avoid charging stops.
Innovation Solution
A control system that calculates a journey speed based on initial battery state and route profile data to ensure sufficient battery charge upon arrival, adjusting for traction and non-tractional energy consumption, and suggesting charging stops if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If a user reduces their speed to conserve remaining power of the power source, then the power consumption is reduced, but the travel time increases and the user cannot reach the destination efficiently
Solution Approach 1:
The control system performs preliminary calculations before the journey starts to determine the optimal speed profile that will allow the vehicle to reach the destination with sufficient remaining charge. By calculating the required speed in advance based on route characteristics and initial state of charge, the system provides a speed recommendation that optimizes both energy consumption and travel time, eliminating the need for users to arbitrarily reduce speed during the journey.
2Productivity
If a user maintains higher speed to reduce travel time, then the productivity is improved, but the power consumption increases and the vehicle may not reach the destination without charging
Solution Approach 1:
The system calculates the optimal speed profile before the journey begins, taking into account the initial state of charge and route characteristics. This preliminary calculation provides a speed recommendation that maximizes travel efficiency while ensuring the vehicle arrives with sufficient remaining charge, eliminating the need for reactive speed adjustments during the journey.
Solution Approach 2:
The control system dynamically adjusts the recommended speed based on real-time conditions such as current state of charge, route characteristics, and environmental factors. The speed recommendation is not a fixed value but adapts to changing conditions, allowing the vehicle to maintain optimal speed for different segments of the journey while ensuring arrival with sufficient charge.
3Use of energy by moving object
If the control system provides real-time speed adjustments during the journey, then the energy conservation is improved, but the system complexity increases
Solution Approach 1:
The control system performs the complex energy optimization calculations before the journey starts, determining the optimal speed profile based on initial conditions and route characteristics. This preliminary calculation simplifies the in-journey control to merely displaying the pre-calculated speed recommendation, significantly reducing the real-time computational burden and system complexity while still achieving optimal energy conservation.
Data Source
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AI summary
Disclosed is a control system (100) for a vehicle, the control system comprising one or more controllers, the control system arranged to: receive route profile data (102) indicative of a route between a first location and a second location; receive energy information (104) indicative of an initial State of Charge, SoC, of a power source of the vehicle prior to the vehicle travelling the route; calculate, using the energy information and the route profile data, a destination SoC (106) of the power source of the vehicle at the second location; compare the destination SoC with a predetermined end-of-route SoC value (108); if the destination SoC is less than the predetermined end-of-route SoC value, determine a journey speed (110) for the vehicle, the journey speed indicating an upper speed limit at which the vehicle may travel during at least a portion of the route and reach the second location with an SoC value equal to or greater than the predetermined end-of-route SoC value; and output (112) the determined journey speed.