EV Battery Charging Duration Prediction
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Solution Overview
Problem
Conventional methods for predicting the duration of fast charging processes for plug-in electric vehicles are inaccurate due to varying battery temperatures, leading to unpredictable charging times that can disrupt trip planning.
Innovation Solution
A method that estimates future battery charge amount and temperature, determining the necessary charging power to maintain the battery at or below a threshold temperature, allowing for precise prediction of charging duration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional methods use nominal battery temperature for prediction, then prediction can be made before charging, but the prediction accuracy deteriorates due to temperature variations
Solution Approach 1:
The system performs preliminary estimation of future battery temperature before charging begins, using the drive cycle profile and ambient conditions. This allows accurate prediction to be made in advance rather than waiting until charging starts, resolving the contradiction between early prediction and accuracy.
2Measurement precision
If prediction waits until after charging commences, then prediction accuracy improves, but the user cannot factor charging time into trip planning
Solution Approach 1:
The system calculates the future battery temperature and charging duration before the charging process begins by analyzing the drive cycle that will occur before charging. This preliminary calculation provides users with accurate charging time estimates for trip planning purposes, eliminating the need to wait until charging starts.
3Temperature
If power is diverted to thermal management system, then battery temperature is controlled, but charging duration increases
Solution Approach 1:
The system predicts the future battery temperature considering thermal management interventions before charging begins. By knowing the temperature trajectory in advance, the system can provide accurate charging duration predictions that account for power diverted to cooling, allowing users to plan accordingly.
Solution Approach 2:
The prediction system incorporates feedback about thermal management system operation and its impact on charging power. By monitoring and predicting how much power will be diverted to cooling, the system adjusts the charging duration prediction to reflect the actual charging time required.
Data Source
AI summary
A method for predicting the duration of a future charging process for a vehicle battery. The method comprises estimating a future charge amount of the battery corresponding to the start of the future charging process. The method further comprises estimating a future temperature of the battery. The method still further comprises determining a future charging power or a characteristic thereof to be applied to the battery during the future charging process, wherein the future charging power or characteristic thereof is based on the estimated future charge amount and the estimated future temperature and is representative of a charging amount or characteristic thereof that will maintain the temperature of the battery at or below a threshold temperature during the future charging process. The method still further comprises predicting a duration of the future charging process based on the estimated future charge amount and the determined future charging power or characteristic thereof.