EV Charging Heuristic Evaluation for Multi-Factor Route Suggestions
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Solution Overview
Problem
Current EV navigation systems primarily focus on time, distance, availability, and price/quality of service, failing to consider lesser-known dimensions that enhance the overall travel and charging experience for EV owners, such as weather, crime rate, and amenities, when suggesting charging locations.
Innovation Solution
A heuristic evaluation system that suggests charging station locations based on time and distance considerations, as well as user preferences, including air temperature, expected charging time and cost, weather conditions, crime rate, and available amenities, using a vector space model to score and prioritize charging stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional navigation systems only consider time and distance for charging station suggestions, then the system complexity remains low, but the quality of travel experience is insufficient
Solution Approach 1:
The patent extends the evaluation from traditional 2D metrics (time, distance) to multiple dimensions by incorporating weather conditions, crime rates, amenities, and user preferences. This dimensional expansion transforms the charging station selection from a simple route optimization problem into a multi-criteria decision-making system that comprehensively evaluates travel experience quality.
Solution Approach 2:
The system dynamically adjusts evaluation parameters based on user profiles, vehicle characteristics, and real-time conditions. By changing the weight and relevance of different parameters (e.g., prioritizing weather conditions for luxury vehicles vs. economy vehicles), the system maintains manageable complexity while delivering personalized high-quality recommendations.
2Reliability
If the system considers multiple dimensions including weather, crime rate, and amenities, then the quality of charging suggestions is enhanced, but the computational complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-establishing user profiles, vehicle profiles, and parameter weightings before the actual charging station search. This pre-processing organizes complex evaluation criteria into structured frameworks, enabling the system to handle multiple dimensions (weather, crime, amenities) efficiently during runtime without excessive computational overhead.
Solution Approach 2:
The patent introduces intermediary elements such as user profiles and vehicle profiles that mediate between raw data (weather, crime rates, amenities) and final recommendations. These intermediaries structure and filter information, reducing computational complexity by pre-organizing evaluation criteria according to user preferences and vehicle characteristics before applying them to charging station assessment.
3Adaptability or versatility
If the system gathers extensive information about user desires and environmental factors, then the personalization of recommendations improves, but the data processing requirements increase
Solution Approach 1:
The patent segments the evaluation system into distinct modules: user profile management, vehicle profile management, environmental data collection (weather, crime, amenities), and recommendation generation. Each segment handles specific aspects of data processing independently, reducing overall complexity while enabling comprehensive personalization through the integration of segmented information.
Data Source
AI summary
Heuristic evaluation systems and methods for spatial information deliverability for electric vehicle (EV) owners who are traveling and looking for charging location suggestions via their navigation systems, mobile applications, and/or the like. Suggestions are captured based on prior knowledge and user desires. In general, the system knows that a user is traveling from point A to point B and has a suggested optimal distance and/or time and/or cost to reach point B. The systems gathers information related to the traveler's desires in relation to lesser known dimensions, to enhance the overall quality of the travel and charging experience.