Predictive Battery Charging Control for Thermal Cycling Reduction
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Solution Overview
Problem
Conventional battery thermal management strategies that rely on on/off thermal control to maintain battery temperature below a threshold reduce battery lifespan and increase charging time due to repeated cycling, leading to inefficient battery operation.
Innovation Solution
A predictive physics-based model is used to forecast future battery temperatures and adjust charging profiles proactively, optimizing power distribution between charging, heating, and cooling to maintain the battery within a temperature window, minimizing lithium plating and over-drain, and using a cost function to optimize power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If on/off thermal management strategy is used to maintain battery temperature below threshold, then battery temperature control is achieved, but battery lifespan decreases and charging time increases
Solution Approach 1:
The system performs preliminary thermal management actions by predicting future battery temperature using a physics-based model and adjusting charging power before temperature thresholds are reached. This proactive approach prevents the need for repeated on/off thermal cycling, thereby extending battery lifespan while maintaining effective temperature control.
Solution Approach 2:
The invention transitions from static on/off thermal control to dynamic predictive control. The system continuously adjusts charging power based on real-time battery state monitoring and future temperature predictions, creating a smooth, adaptive charging profile that eliminates frequent cycling and reduces thermal stress on the battery.
2Temperature
If on/off thermal management strategy is used to maintain battery temperature below threshold, then battery temperature control is achieved, but charging time increases
Solution Approach 1:
The system performs preliminary thermal management actions by predicting future battery temperature using a physics-based model and adjusting charging power before temperature thresholds are reached. This proactive approach prevents thermal excursions that would require charging interruptions, thereby reducing overall charging time while maintaining effective temperature control.
Solution Approach 2:
The invention transitions from static on/off thermal control to dynamic predictive control. The system continuously adjusts charging power based on real-time battery state monitoring and future temperature predictions, creating a smooth, adaptive charging profile that eliminates frequent cycling and reduces thermal stress on the battery.
3Reliability
If predictive physics model with cost function is used to optimize charging profile, then battery lifespan is extended and charging efficiency improves, but system complexity increases
Solution Approach 1:
The system implements feedback control by continuously monitoring battery state (temperature, charge level, current) and using this information to update the physics-based model predictions. The cost function processes this feedback to determine optimal charging power adjustments, creating a closed-loop control system that extends battery lifespan through adaptive, data-driven decision-making.
Solution Approach 2:
The invention replaces complex mechanical thermal management systems with a software-based predictive control approach. Instead of relying on physical thermal control mechanisms, the system uses a physics-based mathematical model and cost function optimization to manage battery temperature and charging, reducing mechanical complexity while improving control precision.
Data Source
AI summary
A method for controlling a vehicle charging and thermal operation includes monitoring at least a charge characteristic of a battery system and a thermal characteristic of the battery system. The method predicts a battery system temperature at a future time (t) based at least in part on the monitored characteristics using a predictive physics model and maintains the battery system temperature above a minimum temperature threshold and below a maximum temperature threshold by adjusting a charging profile based at least in part on the predicted battery system temperature.

