Project Manager Electromobility

This course combines the technical expertise of electromobility with professional project management and Six Sigma methodology. It teaches the key fundamentals of modern electric vehicles - from drive systems, battery technology and power electronics to charging infrastructure, grid integration, safety, environmental balance and future technologies. In addition, strategic and operational project management skills are developed, including risk management, agile methods and resource planning. The Six Sigma content expands the profile to include structured quality and process optimization according to DMAIC, supported by statistical tools and practical projects.
  • Certificates: "Electromobility project manager" certificate
  • Additional Certificates: Electromobility" certificate
    Basic certificate in project management (GPM)® from PM-Zert
    Certificate "Six Sigma Yellow & Green Belt"
  • Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
    Zertifizierung durch die PM-ZERT, Zertifizierungsstelle der GPM Deutsche Gesellschaft für Projektmanagement e. V.
    „Six Sigma Yellow & Green Belt”
  • Teaching Times: Full-time
    Monday to Friday from 8:30 a.m. to 3:35 p.m. (in weeks with public holidays from 8:30 a.m. to 5:10 p.m.)
  • Language of Instruction: German
  • Duration: 12 Weeks

Electromobility

Introduction to electromobility (approx. 1 day)

Energy efficiency compared to combustion engines

Effects of the mobility transition

Potential and prejudices of e-mobility

Current market situation


Basics of the electric vehicle (approx. 2 days)

Electric vehicles, hybrid and plug-in hybrids, electric cargo vehicles

Design and functionality of electric vehicles

Drive and electric mobility concepts

Energy and storage technology

Grid integration (smart charging, vehicle-to-grid)


Electrified drive train (approx. 3 days)

Basics of electric motors: Requirements, types (direct current, three-phase current, permanent magnet, induction)

Operation in electric vehicles

Calculation principles for electric car drives

Battery technologies (types, capacities, service life, battery management, safety aspects, raw material problems, recycling strategies)


Artificial intelligence (AI) in the work process (approx. 0.5 days)

Presentation of specific AI technologies

Applications in the automotive engineering work process


Power electronics for electric vehicles (approx. 2.5 days)

Areas of application and requirements (inverters, DC/DC converters)

Components (SiC, GaN semiconductors, IGBTs)

Measuring equipment and test procedures

Basic structures and

Circuit topologies and control concepts

Electromagnetic compatibility (EMC)


Functional safety for automotive (approx. 1 day)

Current legislation and standards (ISO 26262)

Safety life cycle in vehicle construction

Safety-relevant functions and their planning

Development of safety concepts in different roles


Charging and charging infrastructure (approx. 2 days)

Charging rate, charging modes, charging times, charging locations

Inductive charging and fast charging (e.g. CCS)

Grid integration: power grids, load management, grid-side requirements

Current state of the charging infrastructure in Germany

Profitability and business models (e.g. charging flat rates, sharing)


Range and consumption of electric vehicles (approx. 1 day)

Physical basics (energy consumption, efficiency)

Driving cycle methods: NEDC, WLTP, real consumption

Calculation of consumption and range


Electricity for the electric vehicles (approx. 1 day)

Energy generation: Renewable energies, electricity mix in Germany

Electricity storage technologies (Power-to-X, pumped storage, battery storage)


Life cycle assessment of electric vehicles (approx. 1 day)

Assessment of an environmental balance sheet

Production, use and recycling

Sustainability aspects


Business models and legal aspects (approx. 1 day)

Charging station ordinance

Electricity Tax Act/EEG

DGUV regulations

EU Battery Ordinance

Subsidies and funding programs

Car Policy E-vehicles


Future prospects and technologies (approx. 1 day)

Market ramp-up

Mobility 2050

Hydrogen, fuel cells, synthetic fuels


Project work (approx. 3 days)

To consolidate the content learned

Presentation of the project results

Project management

Artificial intelligence (AI) in project management (approx. 1 day)

Presentation of specific AI technologies

Recommendations for dealing with AI

Prompting in a professional context


Context skills (approx. 3 days)

Governance, structures and processes

Strategy

Power and interests


Personal and social skills (approx. 1 day)

Personal communication


Technical skills (approx. 10 days)

Project design

Agile project management

Organization, information and documentation

Opportunities and risks

Requirements and goals

Scope of services and deliverables

Process and deadlines

Stakeholders

Resources

Costs and financing

Planning and control


Project work, certification preparation and certification examination in project management (approx. 5 days)

By PM-ZERT, certification body of the GPM Deutsche Gesellschaft für Projektmanagement e. V.

Quality management - Six Sigma Yellow & Green Belt

Six Sigma Yellow Belt (approx. 1 week)


Introduction to the Six Sigma strategy - Yellow Belt (approx. 1.5 days)

What is Six Sigma? History and philosophy

DMAIC project phases at a glance and their individual objectives

Roles and responsibilities

Six Sigma in the context of lean and QM (OpEx)

AI as an assistant for structuring the project objective, scope and stakeholders


AI in the improvement project (approx. 0.5 days)

Types of AI (ML,DL,LLM,GenAI)

Data and prompt basics

Governance and security


Define phase (approx. 0.5 days)

Problem and project definition (Project Charter)

Understanding customer requirements (VOC-CTQ)

Process mapping (SIPOC)

Operational definition and data quality

AI-supported clustering of simple VOC examples


Measure phase (approx. 0.5 days)

Process mapping (flow chart and swimlane)

Insight into measurement system analysis (MSA)

Basic key figures (DPMO, Sigma Level)

Data types and collection (graphical analyses)

AI for measurement plan checklists, plausibility checks


Analysis phase (approx. 1 day)

Cause-effect analysis (5-Why, Ishikawa)

Basics of statistical methods

Insight into machines and process capability


Improve phase (approx. 0.5 days)

Generate solution ideas (Poka Yoke)

Risk assessment and introduction of FMEA


Control phase (approx. 0.5 days)

Definition of process monitoring (control plan)

Insight into statistical process control (SPC)

Process documentation and standardization (SOP)


Six Sigma Green Belt (approx. 3 weeks)


Project management with Six Sigma - Green Belt (approx. 1 day)

Green Belts as project managers

Work breakdown structure (WBS), project communication and documentation

Teamwork and leadership

Going through DMAIC project phases using advanced statistics application tools and methods

AI-supported project management: risks/dependencies, schedule risk analysis


Define phase (approx. 1.5 days)

Project profile, business case

Project scoping, stakeholder and risk analysis

VOC in CTQ transformation (CTQ tree)

Team composition, project planning (Gantt chart, milestone planning)

Cost calculation and target formulation (benefit)


Measure phase (approx. 2.5 days)

Advanced statistical basics

Visualization and interpretation (histogram, run chart, box plot)

Short-term vs. long-term capability (MFU, PFU)

Calculation and interpretation of the sigma level

Process indicators (Pp, Ppk, Cp, Cpk)

Measurement system analysis (MSA), bias, gage R&R

AI-supported data checks (missing values, outlier indications)


Analysis phase (approx. 4 days)

Hypothesis development, correlation analysis

Correlation (Pearson) and analysis of variance (ANOVA)

Lean time and value flow (yield, OEE, VSM)

Text/error code clustering for Pareto according to failure modes with AI


Improve phase (approx. 1 day)

Design of Experiments (DoE)

Solution generation and creativity methods (mind mapping, brainstorm/writing, 6-3-5 method)

Testing (Poka Yoke, piloting, cost-benefit analysis)

Risk minimization (FMEA, RPN evaluation)

Implementation


Control phase (approx. 1 day)

Sustainable implementation (control plan)

SPC, quality control charts (X̄-R chart, X̄-s chart)

Process monitoring (KPI, dashboard, BSC)

Project completion and handover

AI-supported KPI story/management summary


Project work, certification preparation and certification examination (approx. 4 days)



Changes are possible. The course content is updated regularly.

Professional experience in the production or service sector and basic knowledge of quality management are required.

After completing this course, you will have in-depth knowledge of electromobility, its technical foundations, current developments and legal framework conditions. You will be able to evaluate different drive systems, classify the opportunities and challenges of the mobility transition and plan and present your own projects in a practical manner. You will master basic project management techniques and be able to apply them. You will also be able to implement Six Sigma projects independently and successfully in accordance with ISO 13053-1 (DMAIC).

Newcomers and career changers from all areas of business (sales, product development, mechanical engineering, electrical engineering, economics and mechatronics) who want to learn more about electromobility and improve their career opportunities in this future market. In addition, specialists and managers at manufacturers and suppliers in the automotive industry who want to prepare themselves for the challenges and opportunities of the electromobile transport revolution.

The challenges of climate policy are leading to a rethink in the vehicle industry: in Germany, the focus is primarily on electric motors. Project managers with knowledge of electromobility are therefore offered numerous exciting new fields of work in all technical sectors.

Your meaningful certificate provides a detailed insight into the qualifications you have acquired and improves your career prospects.

Didactic concept

Your lecturers are highly qualified both professionally and didactically and will teach you from the first to the last day (no self-study system).

You will learn in effective small groups. The courses usually consist of 6 to 25 participants. The general lessons are supplemented by numerous practical exercises in all course modules. The practice phase is an important part of the course, as it is during this time that you process what you have just learned and gain confidence and routine in its application. The final section of the course involves a project, a case study or a final exam.

 

Virtual classroom alfaview®

Lessons take place using modern alfaview® video technology - either from the comfort of your own home or at our premises at Bildungszentrum. The entire course can see each other face-to-face via alfaview®, communicate with each other in lip-sync voice quality and work on joint projects. Of course, you can also see and talk to your connected trainers live at any time and you will be taught by your lecturers in real time for the entire duration of the course. The lessons are not e-learning, but real live face-to-face lessons via video technology.

 

The courses at alfatraining are funded by Agentur für Arbeit and are certified in accordance with the AZAV approval regulation. When submitting a Bildungsgutscheinor Aktivierungs- und Vermittlungsgutschein, the entire course costs are usually covered by your funding body.
Funding is also possible via Europäischen Sozialfonds (ESF), Deutsche Rentenversicherung (DRV) or regional funding programs. As a regular soldier, you have the option of attending further training courses via Berufsförderungsdienst (BFD). Companies can also have their employees qualified via funding from Agentur für Arbeit (Qualifizierungschancengesetz).

We will gladly advise you free of charge.

0800 3456-500 Mon. - Fri. from 8 am to 5 pm
free of charge from all German networks.

Contact

We will gladly advise you free of charge. 0800 3456-500 Mon. - Fri. from 8 am to 5 pm free of charge from all German networks.