Traction Battery Predictive Control for Li-Ion Gas Mitigation
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Solution Overview
Problem
Li-ion batteries in electric vehicles generate gas, leading to degraded performance and reduced charge storage capacity, which can be mitigated by predicting and controlling gas generation using model predictive control strategies.
Innovation Solution
A method for controlling gas generation in Li-ion batteries by estimating future gas production based on operating conditions, adjusting battery control parameters, and actuator adjustments to maintain optimal temperature and state of charge levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If Li-ion battery operates continuously to provide power, then productivity is improved, but gas generation increases causing performance degradation
Solution Approach 1:
The system performs preliminary action by predicting future gas generation amounts before they occur, and preemptively adjusting control parameters to prevent excessive gas accumulation. This allows the battery to maintain high productivity while avoiding performance degradation through advance intervention.
Solution Approach 2:
The system implements feedback by continuously monitoring battery operating conditions, predicting gas generation, and adjusting control parameters based on predicted future states. This closed-loop control ensures reliability is maintained while allowing continuous operation for productivity.
2Duration of action of stationary object
If battery control parameters are adjusted frequently to mitigate gas generation, then battery life is extended, but device complexity increases
Solution Approach 1:
The system applies parameter changes by adjusting battery control parameters (such as charge/discharge rates, temperature control) based on predicted gas generation. This allows extension of battery life through controlled parameter modification without requiring complex hardware changes.
Solution Approach 2:
The system replaces complex mechanical intervention with computational prediction and control parameter adjustment. Instead of physical modifications to the battery, the system uses software-based prediction and electrical/control parameter management to extend battery life.
3Ease of operation
If gas generation is allowed to accumulate, then ease of operation is maintained, but harmful factors increase reducing charge storage capacity
Solution Approach 1:
The system converts the harmful effect of gas generation into a beneficial control signal. By predicting gas generation based on operating conditions, the system uses the predicted harmful effect as input to adjust control parameters, thereby preventing actual harm while maintaining operational simplicity.
Solution Approach 2:
The system takes preliminary action by predicting gas generation before it becomes problematic and preemptively adjusting control parameters. This prevents harmful gas accumulation while maintaining ease of operation, as the adjustments are automatic and based on predictable patterns.
Data Source
AI summary
Systems and methods for operating a vehicle that includes a traction battery are described. In one example, model predictive control is applied to estimate gas generated via the traction battery at a time in the future so that mitigating actions may be invoked before the traction battery may produce more gas than may be desired.