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Postgraduate Diploma in Formation, Ageing and Online Quality Control

Online 800-hour Postgraduate Diploma in formation, ageing and online quality control. 8 modules covering IATF 16949, ISO 9001 and Minitab. Assigned tutor and open enrolment.

Duration800 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Explain the assembly and filling stages of cells.

02

Design electrochemical formation protocols.

03

Define ageing strategies and self-discharge detection.

04

Classify cells by capacity and impedance.

05

Implement online quality controls.

06

Analyse defects using 8D methodologies.

07

Apply data analytics to production improvement.

Profile

Who it's for

  • Cell formation engineer seeking to specialise in Formation, Ageing and Online Quality Control.
  • Production quality engineer seeking to specialise in Formation, Ageing and Online Quality Control.
  • Process engineer seeking to specialise in Formation, Ageing and Online Quality Control.
  • Manufacturing data analyst seeking to specialise in Formation, Ageing and Online Quality Control.
  • Quality laboratory manager seeking to specialise in Formation, Ageing and Online Quality Control.
  • Continuous improvement engineer seeking to specialise in Formation, Ageing and Online Quality Control.
  • Graduates in engineering or sciences seeking to enter cell manufacturing.
Standards & tools

What you'll work with

  • IATF 16949
  • ISO 9001
  • IEC 62660-1
  • ISO 14644-1
  • AIAG-VDA FMEA
  • IEC 62133-2
  • Reglamento (UE) 2023/1542
Syllabus

8 modules · 800 h

  1. 1.1Stacking and winding of electrodes
  2. 1.2Pouch, cylindrical and prismatic encapsulation
  3. 1.3Electrolyte filling and dosing
  4. 1.4Electrode wetting
  5. 1.5Rest times before formation
  6. 1.6Dry rooms and dew points
  7. 1.7Electrolyte quantity control
  8. 1.8Sealing and degassing
  9. 1.9Cell-level traceability
  10. 1.10Practice: electrolyte volume calculation
  1. 2.1Formation of the SEI layer
  2. 2.2Current protocols in the first charge
  3. 2.3Gases generated during formation
  4. 2.4High-temperature formation
  5. 2.5Formation under applied pressure
  6. 2.6Lithium consumption and initial capacity loss
  7. 2.7Formation equipment and energy recovery
  8. 2.8Formation time and cost
  9. 2.9Protocol optimisation
  10. 2.10Laboratory: comparison of formation protocols
  1. 3.1Purpose of ageing in the factory
  2. 3.2Ageing at ambient and elevated temperature
  3. 3.3Measuring self-discharge
  4. 3.4Detection of micro-short circuits
  5. 3.5Ageing time and cost
  6. 3.6Ageing warehouse management
  7. 3.7Voltage drop statistics
  8. 3.8Classification criteria
  9. 3.9Reducing ageing times
  10. 3.10Case study: rejection criterion for self-discharge
  1. 4.1Final capacity measurement
  2. 4.2AC and DC internal resistance
  3. 4.3Classification into groups
  4. 4.4Matching for modules
  5. 4.5Parameter distributions
  6. 4.6Line yield
  7. 4.7Management of second-grade cells
  8. 4.8Data for the pack manufacturer
  9. 4.9Labelling and traceability
  10. 4.10Practice: grouping cells by capacity
  1. 5.1Machine vision inspection
  2. 5.2In-line X-ray and tomography
  3. 5.3Detection of metallic particles
  4. 5.4Cell hipot insulation testing
  5. 5.5Electrolyte leakage measurement
  6. 5.6Rapid impedance spectroscopy
  7. 5.7Multivariate statistical control
  8. 5.8Quality MES systems
  9. 5.9Management of non-conformities
  10. 5.10Workshop: control plan for a cell line
  1. 6.1Failure modes in cell manufacturing
  2. 6.2Lithium plating from inadequate formation
  3. 6.3Contamination by metallic particles
  4. 6.4Sealing defects
  5. 6.5Destructive cell analysis
  6. 6.6Root cause analysis with 8D
  7. 6.7Applied Ishikawa diagrams
  8. 6.8Corrective and preventive actions
  9. 6.9Defect escapes to the customer
  10. 6.10Case study: 8D report for high self-discharge
  1. 7.1Big data in cell manufacturing
  2. 7.2Machine learning for quality prediction
  3. 7.3Correlation between process parameters and cell performance
  4. 7.4Digital twin of the line
  5. 7.5Availability of formation equipment
  6. 7.6Reduction of rejects
  7. 7.7Design of experiments
  8. 7.8Process audits according to VDA 6.3
  9. 7.9Automotive quality standards
  10. 7.10Practice: predictive model for final capacity
  1. 8.1Cell specification
  2. 8.2Proposed formation protocol
  3. 8.3Ageing strategy
  4. 8.4Grading criteria
  5. 8.5Quality control plan
  6. 8.6Traceability system
  7. 8.7Performance indicators
  8. 8.8Capability and cost analysis
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

How you'll learn

100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: students progress at their own pace within the intake, making it easy to combine with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Minitab, Siemens Opcenter, Python with scikit-learn, MATLAB, Arbin MITS Pro, in free, academic or evaluation versions. Tests are studied using real procedures for optimising formation protocols, detecting anomalous self-discharge in ageing, and classifying cells for module assembly. Assessment is continuous per module plus the final integrating project.

Accreditable laboratories(EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry Mentored:teachers with experience in training, , eVTOL/UAM and flight test.
Flexible modality(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, cyber-OT, DIH and compliance as pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Cell specification

Explain the assembly and filling stages of cells.

Proposed formation protocol

Design electrochemical formation protocols.

Ageing strategy

Define ageing strategies and self-discharge detection.

Grading criteria

Classify cells by capacity and impedance.

Quality control plan

Implement online quality controls.

Career opportunities

Where this takes you

Cell formation engineerProduction quality engineerProcess engineerManufacturing data analystQuality laboratory managerContinuous improvement engineer
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. A university degree is not required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient Spanish to follow technical regulatory texts.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

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FAQ

Frequently asked questions

The programme totals 800 hours, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.

Work is carried out with Minitab, Siemens Opcenter, Python with scikit-learn, MATLAB and Arbin MITS Pro. Free, academic or evaluation versions are used, and the tutor indicates a free alternative where one exists.

An own diploma from SEIUM upon passing continuous assessment and the integrating project. It is in-house training, not an official qualification from the Spanish Ministry of Education.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised towards the higher programme. Check the recognition policy when you enrol.

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