EV Charging Recommendations for Range Anxiety and Trip Planning
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Solution Overview
Problem
Current electric vehicle charging infrastructure is limited, leading to concerns about range anxiety and the time-consuming process of recharging, which hinders the widespread adoption of electric vehicles.
Innovation Solution
A system and method that provide personalized recommendations and features for electric vehicle users, including finding and selecting charge devices, planning trips, and suggesting activities during charging periods, by integrating data on vehicle status, user preferences, and available charge devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If electric vehicle battery charging is performed using current infrastructure, then the battery can be recharged, but the charging process takes 4+ hours which is time-consuming and inconvenient
Solution Approach 1:
The system performs preliminary actions by pre-planning charging stops during trip routing, identifying optimal charge devices in advance, and preparing charging recommendations before the user needs them. This reduces decision-making time during actual charging events and makes the process more convenient despite the inherent 4+ hour charging duration.
Solution Approach 2:
The system introduces an intermediary layer between the user and charging infrastructure through a software application that aggregates charging information, provides recommendations, and coordinates charging stops. This intermediary processes multiple factors (battery status, trip requirements, user preferences) to simplify the complex task of managing long charging periods.
2Reliability
If electric vehicle infrastructure is expanded to reduce range anxiety, then more charge devices become available, but the infrastructure development cost and complexity increase
Solution Approach 1:
The system enables self-service by allowing users to independently plan trips with charging stops, locate charge devices, and manage their charging needs without requiring extensive manual research or intervention. The software application automatically processes routing, identifies charging opportunities, and provides recommendations, making the system self-sufficient in managing infrastructure utilization.
Solution Approach 2:
The system creates a universal platform that works across different charge device types, locations, and vehicle models. The software application provides a unified interface for trip planning, charge device location, and charging recommendations that serves multiple functions: routing optimization, infrastructure database management, user preference handling, and real-time charging advice.
3Adaptability or versatility
If users manually research charge devices and trip planning, then they can find charging options, but the process is difficult and time-consuming
Solution Approach 1:
The system implements feedback loops that continuously monitor battery charge levels, trip progress, and user preferences to dynamically adjust charging recommendations. The software application provides real-time feedback to users about optimal charging stops, estimated charging times, and alternative routes, allowing users to make informed decisions without manual research while adapting to changing conditions during the trip.
Data Source
AI summary
Systems, methods, and computer program products for providing recommendations and features related to charging of batteries for electrically powered motor vehicles are provided herein. Various systems and methods utilize current motor vehicle data and/or user preference data to determine recommended charge devices for a user as they travel, removing the need to research/plan out charge device options during travel and the worry of running out of charge. Various systems and methods provide tailored recommendations and features that help a user select which charge device to use and provide options to occupy the user while the charging occurs. Additionally, relevant offers or promotions for nearby accommodations are provided herein. Various systems and methods also recommend turning off certain devices to elongate the estimated travel distance. Desirable maps for aiding in travel planning and visualizing where the current amount of charge will reach are also provided herein.


