电动驾驶汽车动力系统性能设计教程 (英文)

电动驾驶汽车动力系统性能设计

发布日期：2024年5月 创建者：Laurentiu Cancel 格式：MP4 | 视频：h264, 1280×720 | 音频：AAC, 44.1 KHz, 2声道 类型：电子学习 | 语言：英语 | 时长：77讲 (4小时53分钟) | 大小：2.31 GB

驾驶循环模拟 | 高压电池设计 | 电机性能计算 | 性能分析

你将学到：

• 了解电动驾驶汽车的主要系统/组件及其工作原理
• 解释不同类型的动力系统架构及其优缺点
• 识别影响电动驾驶汽车动态性能和能效的因素
• 计算电动驾驶汽车在不同驾驶场景下的阻力
• 运行驾驶循环（WLTC）模拟并计算平均能耗
• 计算电池组参数以满足车辆续航和动态性能要求
• 计算电机参数以满足动态性能要求
• 模拟电动驾驶汽车模型并将最高速度、续航里程和加速时间与要求进行比较
• 使用Scilab进行工程计算和数据绘图
• 使用Xcos进行电动驾驶汽车建模、运行驾驶循环并解释结果

要求：

• 基本的物理知识
• 基本的数学知识
• Scilab编程（可选）
• Xcos建模（可选）

课程描述：

这是一门实践课程，逐步解释如何根据性能要求计算高压电池和电机的参数。课程从性能要求开始：最高速度、0-100公里/小时加速时间和最大续航里程，我们将计算实现这些性能属性所需的电池组和电机参数。

课程内容：

1. 电动驾驶汽车动力系统组件和操作：
   • 解释动力系统的主要组件（高压电池、电机、传动系统和DCDC转换器），描述其主要参数和操作模式。
   • 提供电动驾驶汽车动力系统架构的简要描述，解释主要组件的工作原理及各类型的优缺点。
2. 动力学计算和模拟：
   • 基于车辆的纵向动力学，在Scilab中运行驾驶循环，提供车辆的平均能耗。
   • 计算电机和高压电池的参数，以满足电动驾驶汽车的性能要求。
3. 动态模型开发和测试：
   • 在Xcos中开发一个完整的电动驾驶汽车动态模型，并通过各种循环（最高速度、爬坡和认证驾驶循环）运行，以评估动力系统的性能是否符合要求。
   • 开发一整套用于组件尺寸计算、数据处理和数据可视化的Scilab脚本。
4. 在线模拟工具使用：
   • 提供关于如何使用在线（基于网络的）电动驾驶汽车动力系统设计模拟工具的完整教程。

通过本课程，你将掌握如何设计和优化电动驾驶汽车的动力系统，了解如何通过实际应用和模拟工具实现电动驾驶汽车的性能要求。立即报名，开启你的电动驾驶汽车动力系统设计之旅吧！

Electric Vehicle Powertrain Performance Design

Published 5/2024
Created by Laurentiu Cancel
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 77 Lectures ( 4h 53m ) | Size: 2.31 GB

Drive Cycle Simulation | High Voltage Battery Design | Electric Machine Performance Calculation | Performance Analysis

What you’ll learn:
State the main systems/components of an electric vehicle and how do they operate
Explain the different types of powertrain architecture and their advantages and disadvantages
Identify which are the factors that affect the dynamic performance and energy efficiency of an electric vehicle
Calculate the resistant forces for an electric vehicle during different driving scenarios
Run a drive cycle (WLTC) simulation and calculate the average energy consumption
Calculate the parameters of the battery pack in order to meet the vehicle range and dynamic performance requirements
Calculate the parameters of the electric machine in order to meet the dynamic performance requirements
Simulate and electric vehicle model and compare the maximum speed, range and acceleration time against requirements
Use Scilab to perform engineering calculations and data plots
Use Xcos to perform electric vehicle modeling, run drive cycles and interpret results

Requirements:
Basic physics knowledge
Basic mathematics
Scilab programming (optional)
Xcos modeling (optional)

Description:
This is a hands-on course, explaining step-by-step, with real applications, how to size/calculate the parameters of the high voltage battery and electric machine, based on performance requirements.Starting with performance requirements: top speed, 0-100 kph acceleration time and maximum range, we will calculate the parameters of the battery pack and electric machine required to achieve the performance attributes.The main components of the powertrain (high voltage battery, electric machine, transmission and DCDC converter) are explained, describing their main parameters and operating mode.A brief description of the electric vehicle powertrain architectures is provided, explaining the main components, how they operate, and which are the advantages and disadvantages of each type.Based on the vehicle’s longitudinal dynamics, a drive cycle will be run in Scilab, which will provide the average energy consumption of the vehicle.The parameters of the electric machine and high voltage battery will be calculated to meet the performance requirements of the electric vehicle.A full electric vehicle dynamic model will be developed in Xcos and run through various cycles: top speed, hill climb and homologation drive cycle, to assess the performance of the powertrain against requirements.A complete set of Scilab scripts will be developed for components sizing, data processing and data visualization.A full tutorial will be provided on how to use the on-line (web based) simulation tool for electric vehicle powertrain design

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