EV Navigation System Optimizing Charging Route Cost and Battery Health
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Battery electric vehicle owners face challenges in planning routes that avoid running out of charge, as charging stations are not as prevalent as gasoline stations, and DC fast charging can degrade the vehicle battery, making it expensive to maintain.
Innovation Solution
A system and method that discover charging station locations within a predefined proximity to a route, determine charging costs including battery damage, and present options to the user, recommending AC or DC charging based on cost, time, and battery health considerations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If DC fast charging is used to reduce charging time, then the charging speed is improved, but the battery life is degraded
Solution Approach 1:
The system changes the charging parameters by selecting between AC and DC charging modes based on route requirements. AC charging is used for longer durations with lower power to preserve battery life, while DC fast charging is reserved for situations where time is critical and the vehicle will be parked afterward, thus optimizing the trade-off between charging speed and battery longevity
Solution Approach 2:
The charging strategy is made dynamic by evaluating multiple factors including route distance, current battery charge, time constraints, and parking duration. The system dynamically selects the optimal charging type (AC or DC) and adjusts charging parameters accordingly, rather than using a fixed charging approach
2Duration of action of stationary object
If AC charging is used to preserve battery life, then the battery health is improved, but the charging time is extended
Solution Approach 1:
The system dynamically adjusts charging strategy based on real-time conditions. If the vehicle is parked for an extended period (e.g., overnight or during long work breaks), AC charging is selected to preserve battery life. However, if the parking duration is short or time is critical, the system can switch to DC fast charging, making the charging approach adaptive rather than static
3Loss of energy
If multiple charging stations are evaluated to find the optimal route, then the charging cost is optimized, but the route planning complexity is increased
Solution Approach 1:
The system uses feedback from multiple charging station evaluations to optimize the charging route. By analyzing charging costs, battery damage predictions, and route characteristics, the system feedback-adjusts the recommended charging strategy to minimize overall costs while managing the complexity through structured evaluation criteria
4Length of moving object
If the vehicle range is extended beyond current battery capacity, then the route flexibility is improved, but the risk of running out of charge is increased
Solution Approach 1:
The system performs preliminary evaluation of charging stations along the planned route before the vehicle embarks on the journey. By pre-identifying available charging infrastructure and calculating required charge amounts, the system ensures that the extended range plan is reliable and that charging stops are strategically positioned, thus maintaining charge reliability while enabling greater route flexibility
Data Source
AI summary
A system includes a processor configured to discover charging station locations within a predefined proximity to a route for which vehicle-charging is required to complete. The processor is also configured to determine a charging cost at each discovered station, including at least battery-damage resulting from a charge. The processor is further configured to present a plurality of charging stations, including the charging costs and an estimated total route time for each station. Also, the processor is configured to receive a station selection and present a route including a stop at the selected station.