使用人工智能工具建模电动汽车并改善电池寿命的案例研究:邮政汽车
Ghaeth Fandi1,2, Jaroslav Novák1, Jan Chyský1
1Division of Electrotechnics, Faculty of Mechanical Engineering, Czech Technical University in Prague, Technická 1902/2 166 27, Prague, Czech Republic.
Heliyon
|August 15, 2024
概括
这项研究使用MATLAB/Simulink模拟电动邮政汽车的模型,以模拟性能并通过模糊控制器优化电池寿命. 模拟有助于电动汽车的设计,减少风险和环境影响.
科学领域:
- 电气工程 电气工程
- 汽车工程 汽车工程
- 人工智能的人工智能
背景情况:
- 电动汽车 (EV) 的发展需要强大的设计评估.
- 模拟模型可以缓解风险,及早发现设计缺陷.
- MATLAB 和 Simulink 是电动汽车模拟的关键工具.
研究的目的:
- 开发并介绍一辆电动邮政车的模拟模型.
- 在驾驶周期下分析永久磁铁同步电机的性能.
- 使用AI优化电动汽车电池寿命和设计.
主要方法:
- 使用MATLAB/Simulink.模拟了一辆电动邮政车.
- 模拟了一个永磁同步电机.
- 应用了一个模糊控制器来管理电池.
- 分析了扭矩,引力,阻力和发动机效率.
主要成果:
- 计算了驾驶周期所需的扭矩,引和阻力.
- 确定发动机效率和电池的能耗.
- 证明了模糊控制器在增强电池寿命监控方面的有效性.
结论:
- 模拟和人工智能建模对于电动汽车设计至关重要,特别是电机和电池尺寸.
- 这种方法通过减少碳排放来支持环境目标.
- 开发的模型有助于高效的电动邮政车的设计和运行.
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