Carlos de Miguel Ramos
Angestellt, Specialist Electrochemistry & Battery Cell, BMW Group
Munich, Deutschland
Über mich
I am passionate about alternative mobility research and development. There are countless upcoming possibilities within this field, I am eager to broaden my knowledge in electric and autonomous powertrains. Other relevant fields of interest for me are data analysis, sustainable and renewable energy sources.
Werdegang
Berufserfahrung von Carlos de Miguel Ramos
1 Jahr und 7 Monate, Jan. 2021 - Juli 2022
High Voltage Battery Systems Engineer
EDAG Engineering Spain, S.L.
• Testing coordination, enforcement and validation of HV battery packs in PHEV and BEV prototypes. • Design of experiments and proposal of new testing methods to detect weakness in the cells. • Functions programming in Vector software tools and tests automatization. • Battery diagnosis, requirements implementation, tests results analysis and presentation. • Assessment and troubleshooting HV batteries performance, manufacturing, and compatibility issues.
5 Monate, Apr. 2019 - Aug. 2019
Battery Design Internship
INSIA
• Completion of the first battery system model of the Formula Student Electric team in MATLAB - Simulink (electrical model) and Catia V5 (mechanical model).
3 Jahre und 5 Monate, Apr. 2016 - Aug. 2019
Head of Battery Division
UPM Racing
• Full development of the HV battery pack of a Formula Student prototype through technical and feasibility analysis: market research, cell selection, battery pack design and assembly, HV and LV wiring, manufacturing and testing. • Department budget management and cooperation with corporate sponsors. • Management and leading a multidisciplinary team to settle the know-how of the team. • Participation in two international competitions: FSUK (2018) and FS Germany (2019).
Ausbildung von Carlos de Miguel Ramos
1 Jahr, Aug. 2019 - Juli 2020
Erasmus+ Exchange Program in Industrial Engineering
KTH Stockholm
Master’s Thesis on “Assessment Based on Indicators of the Sustainable Development Goals in Spain. A Data Science Approach”, using Machine Learning techniques.
1 Jahr und 11 Monate, Sep. 2018 - Juli 2020
Master of Science in Industrial Engineering
Technical University of Madrid
Major in Mechanical Engineering (120 ECTS).
4 Jahre und 6 Monate, Sep. 2014 - Feb. 2019
Bachelor of Science in Industrial Technologies Engineering
Technical University of Madrid
Major in Mechanical Engineering (240 ECTS)
Sprachen
Spanisch
Muttersprache
Französisch
Gut
Englisch
Fließend
Deutsch
Grundlagen