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Power-Limit Estimation for Lithium Ion Batteries Using Physics-Based Models and Predictive Methods

机译:基于物理模型和预测方法的锂离子电池功率限制估计

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1. Physics-based models provide key information on electrochemical dynamics that can be used to achieve important control objectives 2. FOMs are too complex for real-time implementation, but techniques have been developed to create simpler and faster ROMs 3. Model predictive control can exploit the simpler models to implement realtime power-limit estimation based on real electrochemical bounds 4. Continuing research aims to expand models to include internal thermal properties and further mechanisms of degradation 5. Upcoming phase of research will pursue cell-based laboratory experiments to validate simulation results.
机译:1.基于物理的模型提供了有关电化学动力学的关键信息,可用于实现重要的控制目标2. FOM对于实时实施而言过于复杂,但是已经开发出了创建更简单,更快的ROM的技术3.模型预测控制可以利用更简单的模型,基于实际的电化学界线实现实时功率极限估计。4.持续的研究旨在扩展模型,以包括内部热性质和进一步的降解机理。5.即将到来的研究阶段将寻求基于细胞的实验室实验以验证模拟结果。

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