权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Development of a traction controller for drivability improvement of electric vehicles

开发用于改善电动汽车驾驶性能的牵引控制器

基本信息

批准号：
1970848
负责人：
金额：
--
依托单位：
University of Surrey
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2017
资助国家：
英国
起止时间：
2017 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-1970848
关键词：
Development traction controller drivability improvement

项目摘要

This Ph.D. project aims at developing anti-jerk and traction controllers for the drivability improvement of fully electric lorries. The target vehicles will be employed for urban and extra-urban deliveries, and will face a wide range of climate and road conditions: from dry and flat tarmac to snowy uphill roads. The controllers will be tested on two different demonstrators. The first one is a two-wheel-drive vehicle with a central electric motor, a single gear transmission, an open differential connected to the wheels through half-shafts and constant velocity joints. The second one is a four-wheel-drive vehicle that uses the previous drivetrain configuration on both the front and rear axles.The anti-jerk controller will be based on nonlinear explicit model predictive control technology, and will be compared with five different control structures from the literature: i) a pure feedforward controller; ii) a feedback controller based on the high frequency component of the motor speed; iii) a system combining a feedforward controller with a feedback disturbance observer; iv) a feedback controller based on the drivetrain torsion rate; and v) a feedback controller based on the estimated drivetrain torque.Within the traction controller development, the benchmark will be set by a PID slip based algorithm, which will be compared with a novel nonlinear explicit model predictive traction controller. The Centre for Automotive Engineering of the University of Surrey has experience in the field of model predictive control, as it is one of the few research groups to have developed a toolbox for the design of explicit nonlinear model predictive controllers. This toolbox has been exploited for the preliminary development of a traction controller for an electric vehicle with in-wheels motors, which represents a novelty in the literature. Nevertheless, such controller is still a proof of concept, as it is not robust with respect to tyre-road parameter variations. This Ph.D. project targets the enhancement of the level of robustness and technology readiness of the controller, to achieve an industrially implementable system.The combination of innovative controllers and their comprehensive assessment on the electric vehicle demonstrators provided by the industrial partners will allow the publication of the results in quartile 1 journals in the subject areas of mechanical and automotive engineering. Furthermore, the activity will include an extensive survey on anti-jerk controllers, as the literature misses a thorough review of this topic.

这个博士。该项目旨在开发抗冲击和牵引控制器，以提高全电动卡车的驾驶性能。目标车辆将用于城市和城外送货，并将面临各种气候和道路条件：从干燥平坦的柏油路到积雪的上坡道路。控制器将在两个不同的演示器上进行测试。第一种是两轮驱动车辆，配有中央电动机、单齿轮变速器、通过半轴和等速万向节连接到车轮的开式差速器。第二个是四轮驱动车辆，在前轴和后轴上都使用以前的传动系统配置。抗冲击控制器将基于非线性显式模型预测控制技术，并将与文献中的五种不同的控制结构进行比较：i）纯前馈控制器； ii) 基于电机速度高频分量的反馈控制器； iii) 前馈控制器与反馈扰动观测器相结合的系统； iv) 基于传动系统扭转率的反馈控制器； v) 基于估计的传动系统扭矩的反馈控制器。在牵引控制器开发中，基准将通过基于 PID 滑差的算法设定，该算法将与新型非线性显式模型预测牵引控制器进行比较。萨里大学汽车工程中心在模型预测控制领域拥有丰富的经验，是少数几个开发出用于显式非线性模型预测控制器设计的工具箱的研究小组之一。该工具箱已用于轮毂电机电动汽车牵引控制器的初步开发，这在文献中代表了新颖性。尽管如此，这种控制器仍然是一个概念验证，因为它对于轮胎-道路参数变化并不鲁棒。这个博士。该项目的目标是提高控制器的鲁棒性和技术准备水平，以实现工业上可实施的系统。创新控制器与工业合作伙伴提供的电动汽车演示器的综合评估相结合，将允许在机械和汽车工程学科领域的第一季度期刊上发表结果。此外，该活动将包括对防急动控制器的广泛调查，因为文献没有对该主题进行彻底的回顾。