特斯拉车辆动力学工程师 Vehicle Dynamics Engineer
任职要求
• Good technical written and spoken English • BS in Mechanical Engineering • 5+ years of experience in automotive development engineering • Vehicle dynamics experience with expertise in performance vehicle drive and tuning, with a desire for excellence is a must. • Experience with testing in high speed environments at test tracks and public roads • Vehicle instrumentation and data analysis • An insatiable desire to develop ultimate vehicle performance characteristics • Expertise in performance vehicle driving and tuning, with a desire for excellence • Strong organizational and interpersonal skills • Experience working in a complex, dynamic and fast-paced environment • Creative problem solver with demonstrated success who develops innovative solutions • Experience developing…
工作职责
About the Team The Vehicle Dynamics engineer is responsible for developing the unparalleled ride, handling, steering, and braking attributes of Tesla vehicles. In a fast-paced and constantly changing environment we deliver performance characteristics that help define the brand. We are looking for a skilled and passionate group members who will provide innovative and efficient solutions while meeting demanding timelines and superior performance requirements. The Role Serve as part of the Vehicle Engineering team to develop ride, steering, handling and braking attributes for all Tesla vehicles including: Utilizing Passive and Active systems as appropriate to the targets set, and Road and Track evaluations and tuning required for all world market conditions. Working between quantitative (data acquisition) and qualitative (subjective) reporting, the successful candidate will guide efforts between modeling, design, and controls towards developing Tesla character and DNA in all our class leading products. Duties include planning managing and executing tests, product lifecycle management and working cross functionally with teams such as modelling, design, and firmware engineering, which require timely and actionable feedback. Inventory control and parts tracking from Bill of Materials for both production and prototype parts will also be necessary to support development and launch success in the factory. This is a hands-on role requiring a high level of autonomy, proven ability and flexibility. Responsibilities • Work closely with design team to help grow our supplier partners to have better capability in delivering driving attributes with consistency and repeatability. • Provide design, controls and architectural feedback to ensure that Tesla attribute targets are met. • Perform drive assessments and generate quantitative metrics and qualitative descriptions that then lead the changes necessary to develop vehicles in keeping with Tesla’s character • Support developments of other vehicle areas (e.g. NVH, Simulations, Range, Mass). • Generate engineering data (run logs and reports) for all activities. Participate in design, program, and product reviews and provide supported feedback. • Manage and execute testing programs, working cooperatively and efficiently communicating within a dynamic and interactive environment.
1、负责悬架及整车动力学模型搭建、悬架K&C分析、整车操稳分析、整车平顺性分析,并提出优化方案; 2、负责整车性能目标制定及调校方案策划; 3、协助及跟进悬架K&C试验、整车操稳试验、整车平顺性试验以及后续数据处理; 4、协助底盘调校,并参与制定优化方案; 5、负责车辆动力学相关技术研究; 6、参与车辆动力学相关项目管理,解决各阶段车辆动力学相关问题; 7、负责整车性能集成能力建设,编制相关流程和规范。 8、负责车辆动力学性能定义及分解; 9、参与项目车型前期预研、标杆车的确定和性能对标分析,建立对标流程及模版;
1、负责数字底盘动力学核心技术的创新研究,包括但不限于:线控转向、智能悬架、分布式驱动、智能轮胎等技术领域; 2、探索AI/ML在车辆状态参数估算、动态响应预测与实时控制中的应用(如强化学习控制算法); 3、研究新型车辆底盘架构(如轮边角模块等)对车辆动力学特性的挑战与解决方案; 4、与自动驾驶、电驱动系统、轻量化材料团队合作,优化整车动态性能; 5、构建高精度车辆动力学仿真模型,支持数字孪生与SIL/HIL等在环测试; 6、开发基于云平台的动力学参数标定与OTA更新技术; 7、跟踪产业界、学术界前沿技术进展,探索数字化底盘领域相关的技术应用落地路径,持续迭代优化。 【课题名称】数字化底盘动力学开发 【课题内容】本课题聚焦于数字化底盘系统中车辆动力学研发工作,通过构建高保真、多场景适用的数字化底盘汽车动力学特性预测分析模型,完成线控底盘子系统(主动悬架、线控转向、线控制动)的协同控制性能分析,并对线控底盘子系统特性提出技术要求。
1.利用车载传感器和总线信号估算外界环境信息和车辆运动状态; 2.使用ADAMS/Car或CarSim搭建车辆模型,使用Simulink搭建整车运动控制模型,设计并优化控制算法; 3. 利用激光雷达或摄像头采集前方路面特征作为前馈控制输入; 4.了解人工智能技术在运动状态估计和运动控制领域的应用并具备一定的实践经验; 5.对车辆的转向表现、操控平衡、车身控制、乘坐舒适性等动态性能进行评价; 6.与底盘VD调校工程师合作,进行参数调校和算法迭代,确保高质量的整体性能交付; 7.进行硬件在环(HIL)和软件在环(SIL)测试,验证算法在实际场景中的表现。