EV Charging Optimization via Multi-Source Data Fusion
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Solution Overview
Problem
Electric vehicles have a limited driving range due to the relatively low energy density of electric energy storage systems compared to hydrocarbon fuels, necessitating efficient and cost-effective charging solutions to enhance user convenience and reduce energy costs.
Innovation Solution
A system that optimizes electric vehicle charging by combining data on historical driving patterns, user schedules, charging station locations, and time-varying energy costs to suggest the best time and location for charging, allowing for automatic charge management and user alerts to ensure timely and economical recharging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If electric vehicles use on-board storage systems for energy, then emission reduction and noise reduction are achieved, but driving range is limited compared to fuel-powered vehicles
Solution Approach 1:
The patent combines multiple charging factors (time-varying energy costs, user schedules, driving patterns, charging station locations) into a unified charging optimization system that determines optimal charging times and locations, effectively extending the practical driving range by strategic energy replenishment
Solution Approach 2:
The system performs preliminary analysis of user schedules, driving patterns, and energy cost variations to proactively determine optimal charging times before the vehicle needs energy, allowing users to charge during low-cost periods and avoid range limitations
2Object-generated harmful factors
If frequent charging is performed to maintain electric propulsion mode, then emission reduction is achieved, but user convenience decreases due to frequent recharging stops
Solution Approach 1:
The charging optimization system operates autonomously by automatically analyzing driving patterns, energy costs, and charging station availability to determine optimal charging times, eliminating the need for users to manually monitor charge levels and make frequent charging decisions
Solution Approach 2:
The system continuously monitors charging effectiveness, energy cost variations, and driving pattern changes, using this feedback to refine charging recommendations and minimize the number of charging stops required while maintaining emission reduction benefits
3Length of moving object
If charging is performed during peak energy cost periods to ensure adequate range, then driving range is maintained, but energy costs increase
Solution Approach 1:
The system dynamically adjusts charging timing based on time-varying energy cost parameters, shifting charging operations from high-cost peak periods to low-cost off-peak periods while ensuring adequate range is maintained through strategic charging at optimal times
Solution Approach 2:
The system performs preliminary calculation of energy requirements based on predicted driving patterns and schedules, enabling charging to be performed in advance during low-cost periods rather than waiting until range becomes critical and expensive charging is required
4Device complexity
If manual charging management is used, then system complexity is minimized, but charging optimization and cost reduction are limited
Solution Approach 1:
The charging optimization system performs autonomous analysis of multiple factors including time-varying energy costs, user schedules, and driving patterns without requiring complex user intervention, automatically generating and executing optimized charging strategies
Solution Approach 2:
The system integrates multiple functions (driving pattern recognition, schedule analysis, energy cost optimization, charging station location matching) into a single unified charging management platform that provides comprehensive optimization without proportionally increasing complexity
Data Source
AI summary
The described method and system improve electric-power driving range for electric vehicles, i.e., electric-only, hybrid electric, and other vehicles that draw electrical power from an on-board storage system for propulsion. The described system uses synergy among selected data sources to provide charging prompts and route assistance to allow the vehicle user to operate his or her vehicle in a more economical fashion by ensuring timely and cost effective charging.