EV Charging Time Windows Based on Charge Point Temperature
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Solution Overview
Problem
Existing approaches to charging electric vehicles do not effectively consider the varying environmental conditions at each charge point, leading to inefficient battery temperature management and increased electricity grid load, as they apply rough estimates of battery temperatures based on local weather without accounting for specific conditions at each charge point.
Innovation Solution
A method and system that determine a charging time window for electric vehicles by predicting battery temperatures based on environmental conditions at individual charge points, using a battery temperature function and optimizing charging times to maintain optimal operating ranges, thereby reducing energy consumption and grid load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If rough estimates of battery temperatures based on local weather are used for all charge points, then the system complexity is reduced, but the charging efficiency and battery temperature management deteriorate
Solution Approach 1:
The patent applies local quality by considering specific environmental conditions at each charge point location rather than using uniform weather-based estimates. The system determines charge point-specific environmental conditions (such as local temperature, humidity, and geographic factors) and uses these localized parameters to predict battery temperatures and optimize charging strategies for each individual charge point, thereby improving charging efficiency without excessive system complexity
Solution Approach 2:
The patent implements preliminary action by predicting battery temperatures based on environmental conditions before charging begins. The system determines a charging time window in advance by predicting how environmental conditions will affect battery temperature during the charging process, allowing optimal charging timing to be established before actual charging occurs, thus improving charging efficiency
2Ease of operation
If charging is performed without considering environmental conditions at each charge point, then the ease of operation is improved, but energy waste increases
Solution Approach 1:
The patent applies self-service by enabling the charging system to automatically determine optimal charging time windows based on environmental conditions at each charge point. The system autonomously predicts battery temperatures, calculates appropriate charging windows, and provides recommendations without requiring manual intervention or complex user input, maintaining ease of operation while reducing energy waste through environmentally-aware charging optimization
3Duration of action of moving object
If battery temperature is not optimized for charging, then the charging time is reduced, but the electricity grid load and energy waste increase
Solution Approach 1:
The patent implements preliminary action by predicting battery temperature changes during the charging process based on environmental conditions before charging begins. The system calculates a charging time window that accounts for how the battery temperature will evolve during charging, allowing charging to be scheduled when environmental conditions will naturally keep the battery within optimal temperature ranges, thus reducing energy waste for heating or cooling while maintaining efficient charging times
4Productivity
If charge point-specific environmental conditions are considered, then the charging efficiency is improved, but the device complexity increases
Solution Approach 1:
The patent applies local quality by implementing a system that retrieves and processes environmental conditions specific to each charge point location. The system determines local environmental parameters (temperature, humidity, geographic features) for each charge point and uses these localized data to predict battery temperatures and optimize charging strategies, improving charging efficiency through location-aware optimization without requiring overly complex infrastructure
Solution Approach 2:
The patent uses an intermediary approach by introducing a charging optimization system that acts as a mediator between environmental conditions and charging operations. This intermediary system retrieves environmental data, predicts battery temperature effects, calculates optimal charging time windows, and provides recommendations to users or charging infrastructure, thereby improving charging efficiency through environmental awareness while keeping the overall system architecture manageable through a centralized optimization layer
Data Source
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AI summary
An approach is provided for providing a charging time window for an electric vehicle based on environmental conditions at a charge point. The approach involves receiving a request to charge a battery of an electric vehicle at a charge point. The approach also involves determining a battery temperature operating range for the battery. The approach further involves determining a battery temperature function that predicts a temperature of the battery based on an environmental condition at the charge point. The approach further involves determining a charging time window for charging the battery based on the battery operating range and the battery temperature function. The approach further involves outputting the charging time window. The approach can involve determining a temperature regulating time period for the battery and/or the charge point to cool down or heat up before charging based on the battery temperature and/or the environmental condition at the charge point.