This article proposes an efficient model to reduce the conducted emission in a motor-driven autonomous emergency braking system. Many X/Y decoupling capacitors have been employed in this system to repress the switching noises, which is a very important consideration for the reliability/safety of the system. However, the locations of the decoupling capacitors, have basically been determined, thus, far by trial and error. The proposed model, in this article, consists of a circuit of the permanent magnet synchronous motor-driven braking system which is combined with electromagnetic simulation models, and the whole models are integrated into a SPICE simulator. The effect of decoupling capacitors was analyzed, and a binary particle swarm optimization algorithm was applied to determine the most effective decoupling capacitor locations to minimize the number of capacitors in the system. An automation program with the optimization algorithm was developed using Python language. The optimized results showed the number of decoupling capacitors could be reduced from 36 to 28 in the specific motor-driven autonomous emergency braking system while still satisfying the electromagnetic interference specification of automaker requirements, which validates the effectiveness of the proposed methodology.

中文翻译：

---

使用 BPSO 算法最大限度地减少自主紧急制动系统中 X/Y 电容器的数量


本文提出了一种有效的模型来减少电机驱动的自主紧急制动系统中的传导发射。该系统中使用了许多X/Y去耦电容器来抑制开关噪声，这对于系统的可靠性/安全性来说是一个非常重要的考虑因素。然而，去耦电容的位置基本上已经确定，到目前为止还需要反复试验。本文提出的模型由永磁同步电机驱动制动系统电路与电磁仿真模型相结合组成，整个模型集成到 SPICE 模拟器中。分析了去耦电容器的影响，并应用二元粒子群优化算法来确定最有效的去耦电容器位置，以最大限度地减少系统中电容器的数量。使用Python语言开发了带有优化算法的自动化程序。优化结果表明，在特定的电机驱动自动紧急制动系统中，去耦电容器的数量可以从36个减少到28个，同时仍然满足汽车制造商要求的电磁干扰规范，这验证了该方法的有效性。