Electric Vehicle Range Optimization via Auxiliary Load Control
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Solution Overview
Problem
Electric transport users face range anxiety due to limited battery range and charging time, as well as the scarcity of charging stations, which are not as widespread as fossil fuel stations, leading to concerns about the feasibility of electric transports as a viable driving option.
Innovation Solution
A system and method that utilizes a navigation system and processor to determine the current destination and assess factors affecting the transport's battery range, providing notifications and processing modifications to ensure sufficient battery charge, such as altering routes, reducing auxiliary loads, and optimizing weight and wind conditions, to help the transport arrive at the destination or find charging stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of moving object
If the battery capacity is increased to extend the range, then the range is improved, but the charging time and battery cost increase
Solution Approach 1:
The system performs preliminary analysis of the route, battery charge level, and auxiliary load conditions before the trip. It proactively identifies elements affecting range and notifies the user in advance, allowing them to make decisions about modifying auxiliary loads or routing before the battery is depleted, rather than waiting for range anxiety to occur during the trip.
Solution Approach 2:
The system continuously monitors battery charge levels, route progress, and auxiliary load conditions, providing real-time feedback to the user about range sufficiency. This feedback loop allows dynamic adjustment of travel behavior or auxiliary load usage based on current battery status, optimizing the balance between range and charging time.
2Length of moving object
If the battery capacity is increased to extend the range, then the range is improved, but the battery cost increases
Solution Approach 1:
The system changes operational parameters (auxiliary load settings, route selection, driving conditions) to optimize battery efficiency. By modifying these parameters, the system extends the effective range from the existing battery capacity without requiring additional battery investment, thus avoiding the cost increase associated with larger battery packs.
Solution Approach 2:
The system identifies and modifies specific auxiliary loads that have the greatest impact on battery consumption. Rather than reducing all auxiliary functions uniformly, it selectively adjusts only those elements that significantly affect range, achieving cost-effective range optimization without sacrificing unnecessary vehicle functionality.
3Loss of time
If the charging infrastructure is expanded to reduce charging time, then the charging time is improved, but the device complexity increases
Solution Approach 1:
The system enables the vehicle to self-monitor and self-report its range status and auxiliary load conditions. The navigation system automatically integrates with the battery management system to provide unsolicited range information, eliminating the need for complex external charging infrastructure or manual user assessment of battery status.
Solution Approach 2:
The existing navigation system is extended to perform multiple functions: route planning, battery range monitoring, auxiliary load analysis, and user notification. This multi-functional approach leverages existing infrastructure rather than requiring separate dedicated systems for each function, reducing overall complexity.
Data Source
AI summary
An example system may include one or more of a transport, a navigation system in the transport, wherein the navigation system is configured to obtain a current destination, a processor communicably coupled to the navigation system, wherein the processor is configured to determine whether the transport has battery charge to arrive at a final destination, and an application communicably coupled to the processor configured to determine elements that affect a range of the transport, when the processor determines that the battery charge is insufficient to arrive at the final destination, the processor is configured to: provide a notification of the insufficiency of the battery charge, provide details of one or more of the elements, process a modification of the one or more of the elements, and provide a notification of a sufficiency of the battery charge to arrive at the final destination.