Expert Details
Automotive Consulting
ID: 739610
Germany
Focal points of his thought leadership include the following:
• automotive market trends: e-mobility, ADAS -- advanced driver-assistance systems -- connectivity, and telematics
• new automotive technologies
• automotive growth strategies
• the global and European competitive landscape
• full vehicle range
• R&D process reorganization: technology roadmap, design process, and prototyping
• pre-series vehicle construction
• simultaneous engineering organization
• the start of EV and FCV models (electric vehicles and fuel cell vehicles)
His core areas of expertise also include:
• Lean Manufacturing
• Agile and Scrum Practices
• Advanced Planning
• Advanced Scheduling Systems (APS)
• Smart Manufacturing
• Logistics
• Production
• Process Integration
• Performance Management
• KPI's
• Visual Management
• Capacity Planning
• Supply Chain Management
• Team Management
Education
Year | Degree | Subject | Institution |
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Year: 2016 | Degree: Masters in Engineering | Subject: Electrical | Institution: Rosenheim University |
Work History
Years | Employer | Title | Department |
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Years: 2019 to Present | Employer: Undisclosed | Title: Technical Project Leader | Department: E Powertrain Development |
Responsibilities:Expert leads cross-functional teams, both internal and external, in the development of new HV power train HW and SW features. In this capacity, he is responsible for the following:Coordination of comprehensive HV component designs in the form of best practice and focus on HV safety and quality which represents Daimler portfolio battery electric trucks. Development of MEA's for fuel cells in a joint project with Employer and Volvo. Material and durability tests. Investigation of aging mechanisms of LT-PEM MEA's. Market observation and derivation of new products in the field of hydrogen fuel cells. Transfer of basic technology in the field of hydrogen and fuel cells to pre-series. Expert also leads component testing and simulation team to execute PCT, FCT on HIL and SIL and suggestion improvement for component development and global HV strategy for Daimler products. In this capacity, he: Evaluates technologies, best practices, and market trends. Also designs HV software architecture by understanding end-to-end business requirements and engaging with the product team so business needs aligns with overall application strategy. Co-leads the developing, sourcing and managing of key suppliers. Directs efforts to define the project scope and objectives, involving all relevant stakeholders and ensuring technical feasibility of new technologies. Expert deeply understands the technical requirements and product architecture (TCP / IP, CAN, J1939, J1739) to decide the technology stack, frameworks, platform, third party frameworks/platform, which can be used to build the solution. He also creates concepts and specifications and is responsible for the coordination of requirements with the stakeholders / product owners of the systems and components involved. Such components include FOTA, POTA-Analysis, and the creation of security concepts and security analysis (TARA, FTA, FMEA). |
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Years | Employer | Title | Department |
Years: 2016 to 2019 | Employer: General Motors | Title: Electrical Interface Architect | Department: Powertrain Development |
Responsibilities:Opel and GM domain vehicle architecture.-Lead the assigned inter-functional technical team to define the vehicle and system requirements based on future E / E topologiesof the OEMs and derive vehicle, system, and component test requirements. -Design and develop diagnostic concepts based on the respective drive type and E / E architecture. This includes topics such asdiagnostic communication (OBD, UDS, SOVD), flash routines, variant concepts, etc. for the areas of end of line and aftersales. Alsodevelop concepts for new connectivity topics such as remote or predictive diagnosis. -Continuously improve the architectures & Diagnostic concepts to create cross-system at vehicle level and include all domain s(powertrain, chassis, body, infotainment, etc.). Based on the most varied of architectures from classic embedded ECUs to SOA(service-oriented architecture), the use of MBSE (model based SW engineering) is also a component with a focus on feature-based requirements development. -Ensuring a requirement-based E / E component analysis of hardware and construction scopes through to semiconductor architectures and their software content, as well as the subsequent derivation and implementation of measures, rounds off your field of activity. -Assess Project risks, implement quick mitigation and provide transparent status to management. |
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Years | Employer | Title | Department |
Years: 2010 to 2014 | Employer: Volkswagen | Title: Assistant Manager | Department: |
Responsibilities:End of line testing, Integration of VW, and Skoda cars.-Implementer of technically sophisticated basic software solutions for SW-Layers, Software Drivers and Communication. -Development of hardware-related software components (basic software) on embedded systems according to standards like Autosar and Adaptive Autosar. -Performing of Basic Software System Integration into Electronics Hardware Control units. -Ensure manufacturing operations are running effectively in the areas of safety, quality, efficiency and productivity, cost, and team member morale. -Development of Test Concepts for Validation and Verification for Basic Software Components. -Coordination of the software requirements and solutions with colleagues from various departments. -Responsible for Homologation and regulation as per Indian standards through defining SORs, Technical review and technical assessment of the supplier. |
Fields of Expertise
Automotive, lithium battery, fuel cell, automotive industry, automotive material, automotive market, electric vehicle battery, electric vehicle, fuel cell vehicle, supply chain, supply chain management, supply chain optimization, supply chain project management, team management, Team Leadership, advanced driver-assistance systems, automotive technology forecasting, automotive technology, process management, lean manufacturing, agile methodology, agile practice, Scrum, Scrum practice, Scrum methodology, performance management, KPI, product management, business process management