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首页> 外文期刊>IEEE Transactions on Control Systems Technology >An Energy-Optimal Warm-Up Strategy for Li-Ion Batteries and Its Approximations
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An Energy-Optimal Warm-Up Strategy for Li-Ion Batteries and Its Approximations

机译:锂离子电池的能量优化预热策略及其近似方法

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The resistance of lithium-ion cells increases at subzero temperatures reducing the cells' power availability. One way to improve a cell's performance in these adverse operation conditions is to proactively heat them. This paper considers the scenario in which a cell is heated from both inside and outside; a current is drawn from the cell to power a convective heater and Joule heating warms the cell from inside. A method to derive the time-limited energy-optimal current policy is presented, analyzed, and numerically solved. It is proven that the optimal current policy is a sequence of constant voltage, constant current, and rest phases. Using this observation, two rule-based approximations of the optimal solution are presented and their relative performance is compared to conclude that the inclusion of the rest phase has the potential to decrease energy consumption by similar to 9%. To build and compare these approximations, new tools related to the estimation of the time-limited backward reachable set of nonlinear systems are presented.
机译:锂离子电池的电阻在零度以下的温度下会增加,从而降低了电池的电源可用性。在这些不利的操作条件下改善电池性能的一种方法是主动加热它们。本文考虑了从内部和外部加热电池的场景。从电池中抽出电流为对流加热器供电,焦耳加热从内部加热电池。提出,分析并数值求解了限时能量最优电流策略的方法。事实证明,最佳电流策略是恒定电压,恒定电流和静止阶段的序列。使用该观察结果,提出了两个基于规则的最佳解决方案近似值,并比较了它们的相对性能,得出结论,将其余阶段包括在内可以将能耗降低约9%。为了建立和比较这些近似值,提出了与时间限制的后向可达非线性系统估计有关的新工具。

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