EV Charging Station Recommendation Using Charge Performance Models
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Solution Overview
Problem
Electric vehicle charging stations vary in facilities, amenities, and compatibility with different electric vehicles, leading to suboptimal charging experiences and potential stress on energy storage devices, especially when traveling long distances.
Innovation Solution
A method and apparatus that extract features of the electric current during charging, determine performance characteristics of the electric vehicle, and display recommendations for suitable charging stations based on a charge performance model, considering factors like voltage, current, noise, and travel time, to ensure optimal charging and extend battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If charging stations use general charging waveforms and parameters, then charging compatibility is improved, but charging efficiency and battery performance deteriorate
Solution Approach 1:
The system extracts specific features from charging current waveforms at different charging stations to determine performance characteristics tailored to each station's local conditions. This allows the charging parameters to be optimized locally for each station while maintaining overall system compatibility, resolving the contradiction between general compatibility and specific efficiency.
Solution Approach 2:
The system dynamically adjusts charging parameters based on extracted waveform features and determined performance characteristics. By changing parameters such as charging current, voltage, and timing based on the specific charging station's characteristics, the system achieves both compatibility across different stations and optimized efficiency at each individual station.
2Device complexity
If charging stations operate without verified performance data, then system simplicity is maintained, but charging reliability and accuracy deteriorate
Solution Approach 1:
The system performs self-characterization by automatically extracting features from charging current waveforms and determining its own performance characteristics at each charging station. This self-service approach builds reliable performance data without requiring complex external verification systems, maintaining relative simplicity while improving charging reliability through empirical data collection.
3Speed
If charging parameters are not optimized for specific vehicles, then charging process speed is maintained, but battery stress and damage increase
Solution Approach 1:
The system performs preliminary characterization of the charging station's waveform features before executing the charging process. By determining performance characteristics in advance and using them to optimize charging parameters, the system can achieve fast charging speeds while preventing battery stress through pre-planned parameter optimization specific to each vehicle-station pairing.
Data Source
AI summary
Subject matter disclosed herein may relate to systems, devices and/or processes for extracting one or more features of an electric current coupled to an electric vehicle in response to initiating a charging process at a first charging station, determining one or more performance characteristics of the electric vehicle based, at least in part, on the charging process, determining a charge performance model based, at least in part, on the one or more determined one or more performance characteristics of the electric vehicle and displaying a recommendation for at least a second charging station based, at least in part, on a comparison between one or more features of the at least the second charging station and the charge performance model.