改进电动车充电器电流控制，显著降低谐波失真。
Model Predictive Current Control with Harmonic Correction for Single-Phase AC-DC EV Charging
- 用实时谐波估计动态修正参考电流，实现连续占空比控制。
- 稳态电流总谐波畸变率从11.47%降至2.85%。
- 适合高精度充电器设计与电网兼容性优化场景。
随着电动汽车（EV）数量增加，对电网的谐波污染问题日益严峻。针对单相车载充电器（OBC）中的交流-直流功率因数校正（PFC），模型预测电流控制（MPCC）通过预测和跟踪电感电流改善电流质量。然而，有限控制集MPCC仅能选择离散开关状态，优化空间受限；且基于瞬时电流跟踪误差的代价函数难以有效补偿死区、控制延迟和模型参数偏差引起的低次谐波干扰。本文提出一种占空比预测型MPCC，结合实时谐波估计参考值。该方法动态估计输入电流的低次谐波分量，并修正MPCC参考电流，实现连续占空比控制，针对性抑制主要低次谐波。仿真结果表明，在单相OBC上，相比传统开关状态预测型MPCC，所提方法将稳态电流总谐波畸变率（THD_i）由11.47%降至6.10%；引入谐波参考后进一步降至2.85%。
原文摘要 · Abstract (English)
The increasing integration of Electric Vehicles (EVs) has imposed a growing harmonic challenge on the power grid. For AC/DC Power Factor Correction (PFC) in single-phase On-Board Chargers (OBCs), Model Predictive Current Control (MPCC) improves the current quality by predicting and tracking the inductor current. However, finite control set MPCC selects switching states, resulting in discrete control actions and a limited optimisation space. Moreover, the MPCC cost function based on instantaneous current tracking error has limited capability to compensate for low-order harmonic disturbances induced by dead time, control delay, and model parameter mismatch. This paper proposes a duty cycle predictive MPCC incorporating a real-time harmonic estimation reference. The proposed method dynamically estimates the low-order harmonic components of the input current and corrects the MPCC reference current, enabling continuous duty cycle control and targeted suppression of dominant low-order harmonics. Simulation results on a single-phase OBC demonstrate that the proposed duty cycle predictive MPCC reduces the steady-state current THD_i from 11.47% to 6.10% compared with the switching state predictive MPCC. With the harmonic reference, the THD_i is further reduced to 2.85%.
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