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AAU Energy

Course in Batteries: from fundamentals to applications

This comprehensive 5-day course will cover battery performance, degradation mechanisms, SOC and SOH estimation techniques, lifetime prediction models, and real-life applications, equipping participants with the knowledge and skills to tackle these challenges and innovate in battery technology.

PhD course

Pontoppindanstræde 101, room 1.015, 9220 Aalborg East, Denmark

  • 03.11.2025 08:30 - 07.11.2025 16:00
    : 13.10.2025

  • Free for PhD student in Denmark

  • English

  • Hybrid

PhD course

Pontoppindanstræde 101, room 1.015, 9220 Aalborg East, Denmark

03.11.2025 08:30 - 07.11.2025 16:0003.11.2025 08:30 - 07.11.2025 16:00
: 13.10.2025

English - 6000

Hybrid

AAU Energy

Course in Batteries: from fundamentals to applications

This comprehensive 5-day course will cover battery performance, degradation mechanisms, SOC and SOH estimation techniques, lifetime prediction models, and real-life applications, equipping participants with the knowledge and skills to tackle these challenges and innovate in battery technology.

PhD course

Pontoppindanstræde 101, room 1.015, 9220 Aalborg East, Denmark

  • 03.11.2025 08:30 - 07.11.2025 16:00
    : 13.10.2025

  • Free for PhD student in Denmark

  • English

  • Hybrid

PhD course

Pontoppindanstræde 101, room 1.015, 9220 Aalborg East, Denmark

03.11.2025 08:30 - 07.11.2025 16:0003.11.2025 08:30 - 07.11.2025 16:00
: 13.10.2025

English - 6000

Hybrid

Course schedule

Topic and lecturer
Full descriptions will be announced at PhD Moodle
Day 1
  • Introduction to the PhD Course
  • Overview of Energy Storage Technologies
  • Lithium-ion Battery Fundamental Principles
  • Battery performance and battery performance indicators
  • Assignment
Day 2
  • Battery performance modeling
  • Battery state-of-charge estimation
  • Assignments
Day 3
  • Battery performance degradation
  • Post-mortem analysis as a tool for battery performance degradation evaluation
  • Battery lifetime prediction
  • Assignment
Day 4
  • Battery state-of-health estimation
  • Battery thermal modeling
  • Assignments
Day 5
  • Battery operation in residential applications
  • Battery operation in large-scale hybrid plants
  • Assignment

Batteries play an undeniable role in the green transition, enabling the shift to renewable energy by storing and distributing power from intermittent sources like solar and wind. As demand for cleaner energy grows, trends point towards advancements in battery efficiency, energy density, and sustainability, driving widespread adoption of electric vehicles and stationary battery storage. While pivotal in modern technology, batteries present several significant challenges. One major issue is performance variability, which can be influenced by factors like temperature, usage patterns, and charging rates. Over time, all batteries degrade, losing capacity and efficiency due to electrochemical reactions within the cells. Accurately estimating the state of charge (SOC) is complex, often requiring sophisticated algorithms to provide reliable data, as simple voltage measurements can be misleading. Similarly, assessing the state of health (SOH) is crucial yet challenging; it involves tracking the battery’s aging process and predicting remaining useful life, which is influenced by various environmental and operational conditions. Lifetime prediction is another critical aspect, necessitating comprehensive models that account for all possible degradation mechanisms to ensure reliability and safety. Moreover, the degradation process can lead to issues such as reduced energy density, increased internal resistance, and potential safety hazards like thermal runaway. Balancing these factors while striving for longer-lasting, higher-performing batteries is an ongoing struggle for both researchers, manufacturers, and end-users.

All these aspects will be thoroughly covered in this comprehensive 5-day PhD course designed for beginner and intermediate learners in the field. The course will delve into the complexities of battery performance, degradation mechanisms, SOC and SOH estimation techniques, lifetime prediction models and battery operation in real-life applications. This intensive program aims to provide participants with the knowledge and skills necessary to tackle current challenges and drive future innovations in battery technology.

Important information concerning PhD courses

The Doctoral School has decided to introduce a no-show fee of DKK 3000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. 

For inquiries regarding registration, cancellation or waiting list, please contact AAU Energy's administration at hr@energy.aau.dk

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