Introduction

In today’s rapidly evolving energy landscape, battery performance testing, energy storage optimization, and advanced diagnostics have become mission-critical for industries ranging from electric vehicles (EVs) to renewable energy systems. Battery Performance Testing and Diagnostics Training Course is designed to equip professionals with cutting-edge knowledge in battery health analysis, state-of-charge (SOC) estimation, and predictive maintenance techniques. With the global shift toward sustainable energy solutions, mastering battery diagnostics is essential for ensuring safety, efficiency, and long-term reliability in lithium-ion and emerging battery technologies.

Participants will gain hands-on expertise in battery management systems (BMS), fault detection algorithms, and data-driven performance evaluation. The course integrates real-world applications, including EV battery testing, grid-scale storage systems, and industrial power solutions. By leveraging AI-powered diagnostics, IoT-enabled monitoring, and advanced analytics, this program prepares learners to tackle modern energy challenges and drive innovation in battery technology.

Programme Curriculum

Battery Performance Testing and Diagnostics Training Course

Introduction

Course Duration

5 days

Course Objectives

Understand battery chemistry fundamentals and performance metrics
Analyze state-of-health (SOH) and state-of-charge (SOC) using modern tools
Implement advanced battery diagnostics techniques
Apply predictive maintenance strategies using AI and machine learning
Evaluate thermal management systems for battery safety
Conduct real-time battery monitoring using IoT technologies
Perform fault detection and failure analysis in battery systems
Optimize battery lifecycle management for sustainability
Use data analytics and visualization tools for performance insights
Understand EV battery testing standards and protocols
Design and evaluate battery management systems (BMS)
Conduct high-voltage safety and risk assessments
Develop energy storage optimization strategies for renewable integration

Target Audience

Electrical and Electronics Engineers
Renewable Energy Professionals
EV Technicians and Automotive Engineers
Maintenance and Reliability Engineers
Energy Storage System Designers
Research Scientists and Academics
Quality Assurance and Testing Engineers
Technical Managers and Project Leaders

Course Modules

Module 1: Battery Fundamentals

Battery types and chemistries
Electrochemical principles
Performance parameters
Charging/discharging cycles
Case Study: Lithium-ion vs Lead-acid comparison

Module 2: Battery Performance Metrics

Capacity measurement
Energy density analysis
Efficiency calculations
Degradation patterns
Case Study: EV battery performance benchmarking

Module 3: State Estimation Techniques

SOC estimation methods
SOH evaluation models
Kalman filtering
Data-driven estimation
Case Study: SOC accuracy in EV systems

Module 4: Battery Management Systems (BMS)

BMS architecture
Cell balancing techniques
Communication protocols
Safety controls
Case Study: Smart BMS in electric vehicles

Module 5: Diagnostics and Fault Detection

Fault identification methods
Signal analysis
Pattern recognition
Root cause analysis
Case Study: Battery failure investigation

Module 6: Thermal Management

Heat generation mechanisms
Cooling techniques
Thermal modeling
Safety implications
Case Study: Thermal runaway prevention

Module 7: Testing Standards and Protocols

International standards
Test procedures
Compliance requirements
Certification processes
Case Study: IEC battery testing standards

Module 8: Data Acquisition and Monitoring

Sensor technologies
Data logging systems
IoT integration
Real-time monitoring
Case Study: Smart battery monitoring systems

Training Methodology

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Battery Testing Performance Diagnostics State-of-Health Analysis Fault Detection

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000