顶尖应届-电池系统电池性能工程师-整车
南京
校招
正式
软件研发类
职位描述
1、负责建立并优化电芯材料层级物理模型,在传统P2D模型基础上进行优化和改善;修正模型的精度可以支撑在高倍率充电/放电工况下模型的精度; 2、研究在更为复杂的前置工况下,电化学模型的精度提升修正函数,引入老化模块,引入前置极化模块,提升模型在复杂状态下的仿真精度; 3、基于机器学习,神经网络和Ai,在仿真精度可接受的前提下提升仿真速率,沟通一套可在线上部署的在线算法; 4、在大数据平台中布置和试行模型,在线验证模型,目标提升现有SOC和SOH估算精度。
职位要求
1、硕士以上学历,电化学/材料学专业,有AI/机器学习算法相关背景; 2、熟悉锂离子电池材料体系和基础理论,熟悉电芯反应动力学,锂离子传输理论,极化理论,熟悉电芯基本物理模型并由相关的网格划分和仿真经验; 3、仿真和实验相结合,能够指导建立一套能够自闭环的仿真验证实验,指导仿真的改善和精度确认; 4、能熟练使用 COMSOL/Ansys/Flunt/Star CCM+等主流电化学/热仿真软件;有独立建立全流程仿真能力及经验; 5、熟悉目前行业的难点和痛点,能够尝试用理论和实践相结合,通过机器学习等AI算法结合理论仿真,解决复杂的实际问题; 6、能够熟练使用Matlab/python等软件,通过算法驱动提高仿真和工作效率; 7、具有优秀的学习和沟通能力,能够主动牵引解决跨专业的问题。
职位信息
课题名称及内容:
【课题名称】 电芯电化学及老化寿命仿真及算法优化 【课题内容】 基于探讨液相/固相及边界层在复杂工况下锂离子传输能力及负极材料嵌入/脱出能力仿真方法研究以及在循环状态下对电芯老化的在线预估和大数据策略研究。
投递

Xiaomi Corporation was founded in April 2010 and listed on the Main Board of the Hong Kong Stock Exchange on July 9, 2018 (1810.HK). Xiaomi is a consumer electronics and smart manufacturing company with smartphones and smart hardware connected by an IoT platform at its core.
Embracing our vision of “Make friends with users and be the coolest company in the users’ hearts”, Xiaomi continuously pursues innovations, high-quality user experience and operational efficiency. The company relentlessly builds amazing products with honest prices to let everyone in the world enjoy a better life through innovative technology.
Xiaomi is one of the world's leading smartphone companies. The company has also established the world’s leading consumer AIoT (AI+IoT) platform,reached 558 million smart devices connected to its platform (excluding smartphones,laptops and tablets) as of September 30 2022. Xiaomi products are present in more than 100 countries and regions around the world. In August 2022, Xiaomi was included in the Fortune Global 500 list for the fourth year in a row, ranking 266th. The company is the fastest-rising Chinese technology conglomerate during the four-year period.
Xiaomi is a constituent of the Hang Seng Index, Hang Seng China Enterprises Index, Hang Seng TECH Index and Hang Seng China 50 Index.