电动汽车的能源管理采用基于击群优化和差异平坦度控制的新策略
Houssam Eddine Ghadbane1, Said Barkat2, Ali Djerioui3
1Electrical Engineering Laboratory of Guelma (LGEG), Electrotechnical and Automatic Engineering Department, Université, 8 Mai 1945, 24000, Guelma, Algeria. ghadbane.houssameddine@univ-guelma.dz.
Scientific reports
|February 13, 2024
概括
本研究介绍了电动汽车的最佳能源管理系统 (EMS),该系统结合了Slap Swarm优化和差平度控制. 这种新的方法通过稳定直流总线并减少电压波纹和波来提高电池寿命和驱动性能.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 优化算法 优化算法
背景情况:
- 电动汽车 (EV) 需要高效的能源管理,以实现最佳性能和组件寿命.
- 混合动力系统,将电池和超级电容器结合起来,提供了优势,但也带来了控制挑战.
- 同步抗拒电机 (SynRM) 越来越多地用于电动汽车驱动器,需要精确的功率控制.
研究的目的:
- 为使用电池超级电容电源的电动汽车提出和验证一个最佳的能源管理系统 (EMS).
- 为了提高电动汽车直流总线的稳定性和效率,同时管理来自SynRM驱动器的功率需求.
- 通过最大限度地减少电流和整体压力来改善电池的生命周期.
主要方法:
- 一个混合储能系统,包括通过双向直流-直流转换器连接的电池和超级电容器.
- 整合Slap Swarm优化算法,实时调整控制参数.
- 应用差分平面度 (DF) 控制以确保动态约束和强大的性能.
- 循环中的处理器 (PIL) 共同模拟使用C2000 DSP板进行验证.
主要成果:
- 实现了直流总线稳定,减少了电压波动 (Δv = 5 V) 和超速 (15 V,3.2%).
- 在尊重源动态的同时,成功满足了 SynRM 电机功率需求.
- 减少了10.49%的驱动诱导波,并减少了17.15A的电池电流波纹.
- 由于减少电流波动,证明了增强的电池寿命周期.
结论:
- 拟议的EMS有效地管理了带有混合存储系统的电动汽车中的能源.
- 拍拍群集优化和DF控制的组合提供了强大的和高效的电源管理.
- 该系统显著提高了电动汽车的性能,电池寿命和驱动效率.
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