阻抗感知的可重构电池系统优化脉冲模式
Impedance-Aware Optimized Pulse Patterns for Reconfigurable Battery Systems
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中文总结 AI 辅助
针对可重构电池系统中配置相关阻抗破坏传统优化脉冲模式假设的问题，提出阻抗感知优化脉冲模式（IA-OPP），嵌入阻抗模型并管理重构率，显著降低电流谐波，优于多种现有方法。
中文摘要 AI 辅助
可重构电池系统（RBS）通过接入和旁路电池单元组来合成变换器输出电压，因此每个开关状态不仅改变源电压，还改变源阻抗。本文表明，这种依赖于配置的阻抗打破了优化脉冲模式（OPP）的一个隐含假设：使用常规线性 plant 模型设计的模式会将其可实现的电流质量高估多达一个数量级，并收敛到由电阻调制设定的失真下限。我们提出了阻抗感知的优化脉冲模式（IA-OPP），将电平相关的源阻抗嵌入优化目标中，并结合事件预算公式，将通信总线的重构率视为受管理的资源。对分段指数负载电流的精确闭式评估使目标函数在开关时刻平滑。在模拟的级联桥参考系统中，IA-OPP 在 2.4 kHz 的重构率下实现了 0.52% 的电流总谐波失真（THD），优于最近电平调制、开关频率高达五倍的移相载波脉冲宽度调制（PWM）以及经典 OPP 基线，且在所有事件预算下优势均存在；该优势在调制指数范围内以及 ±30% 参数失配下依然保持。对于三相星形连接系统，在目标中屏蔽三倍频阶次可恢复全部优势，阻抗感知模式在相同预算下比线性模型对应模式高出约 20%。
英文摘要
Reconfigurable battery systems (RBS) synthesize the converter output voltage by inserting and bypassing battery cell groups, so every switching state changes not only the source voltage but also the source impedance. This paper shows that this configuration-dependent impedance breaks a tacit assumption of optimized pulse patterns (OPP): patterns designed with the customary linear plant model overestimate their achievable current quality by up to an order of magnitude and converge to a distortion floor set by the resistance modulation. We propose impedance-aware optimized pulse patterns (IA-OPP), which embed the level-dependent source impedance in the optimization objective, combined with an event-budget formulation that treats the reconfiguration rate of the communication bus as a managed resource. An exact closed-form evaluation of the piecewise-exponential load current renders the objective smooth in the switching instants. In a simulated cascaded-bridge reference system, IA-OPP attains 0.52% current total harmonic distortion (THD) at a reconfiguration rate of 2.4 kHz, outperforming nearest-level modulation, phase-shifted carrier pulse-width modulation (PWM) at up to five times the switching rate, and a classical OPP baseline at every event budget; the advantage persists across the modulation-index range and under +/-30% parameter mismatch. For three-wire star-connected systems, masking triplen orders in the objective restores the full advantage, with the impedance-aware patterns beating their linear-model counterparts by about 20% at equal budget.
发表机构
- University of the Bundeswehr Munich（德国联邦国防军慕尼黑大学）
机构由 AI 辅助整理，请以论文原文为准。
