Introduction

Smart Charging Systems Training Course provides a practical and future-focused foundation in electric vehicle (EV) charging infrastructure, intelligent energy management, grid integration, and connected charging technologies. As EV adoption accelerates, smart charging is becoming an important mechanism for managing charging demand, reducing peak loads, integrating renewable energy, and improving the flexibility of electricity systems. Modern charging ecosystems increasingly combine EVSE, charging station management systems (CSMS), OCPP, ISO 15118, Plug & Charge, dynamic load management, demand response, distributed energy resources (DER), and data-driven energy optimization. OCPP 2.1 adds capabilities for ISO 15118-20 bidirectional charging, DER control, and enhanced smart charging, while ISO 15118-20 provides a foundation for bidirectional power transfer.

The course also explores the rapidly developing Vehicle-to-Grid (V2G), Vehicle-to-Home (V2H), Vehicle-to-Everything (V2X), AI-enabled charging optimization, renewable-energy integration, cybersecurity, interoperability, and battery-aware charging strategies. Current industry analysis highlights smart charging and bidirectional charging as tools for load shifting, grid flexibility, and potentially new revenue opportunities, while interoperability and implementation consistency remain important challenges. Through technical demonstrations, scenario-based exercises, and case studies, participants learn how to design, evaluate, operate, and optimize scalable, secure, interoperable, and grid-responsive charging ecosystems.

Programme Curriculum

Smart Charging Systems Training Course

Introduction

Course Duration

5 days

Course Objectives

By the end of the course, participants will be able to:

Understand smart EV charging architecture, EVSE components, and connected charging ecosystems.
Evaluate AC, DC, fast, ultra-fast, wireless, and bidirectional charging technologies.
Apply OCPP 2.0.1/2.1 concepts to charging-station and CSMS communication.
Explain ISO 15118, Plug & Charge, and V2G communication principles.
Design dynamic load management strategies for charging networks.
Apply AI and machine learning concepts to charging-demand forecasting and optimization.
Integrate solar PV, battery energy storage, and distributed energy resources (DER) with EV charging.
Develop V1G smart charging and V2X/V2G operational strategies.
Assess grid impact, peak-demand management, demand response, and flexibility services.
Identify cybersecurity, data protection, authentication, and PKI considerations.
Evaluate interoperability, standards compliance, testing, and conformance requirements.
Analyze energy costs, charging economics, battery degradation, and techno-economic performance.
Develop future-ready smart charging deployment and digitalization strategies.

Target Audience

EV charging infrastructure engineers
Electrical and power systems engineers
Energy managers and sustainability professionals
EV fleet and mobility managers
Utility and grid-planning professionals
Renewable-energy and energy-storage specialists
Charging-network operators and technology providers
Project managers, consultants, policymakers, and clean-energy entrepreneurs

Course Modules

Module 1: Smart Charging Fundamentals & EV Charging Ecosystems

Smart charging architecture
AC/DC charging
Connected charging
Intelligent load management.
Case study: Designing a smart charging strategy for a commercial EV fleet depot.

Module 2: EVSE, Charging Infrastructure & Grid Integration

EVSE design
Grid integration
Dynamic power allocation
Site energy management
Case study: Optimizing a workplace charging hub with limited electrical capacity.

Module 3: OCPP, ISO 15118 & Interoperability

OCPP 2.0.1/2.1
ISO 15118
Plug & Charge.
Interoperability.
Case study: Diagnosing an interoperability problem between EVs, chargers, and a CSMS.

Module 4: Smart Charging Optimization, AI & Data Analytics

Charging forecasting
AI/ML optimization.
Dynamic tariffs.
Peak shaving.
Case study: Developing an AI-assisted charging schedule for a multi-vehicle fleet.

Module 5: V1G, V2G, V2H & V2X Bidirectional Charging

V1G smart charging.
V2G.
V2H/V2B.
V2X energy management
Case study: Evaluating a V2G fleet for peak-demand reduction and grid services.

Module 6: Renewable Energy, Battery Storage & Energy Management

Solar-powered charging.
Battery energy storage systems (BESS)
Renewable-energy forecasting
Microgrids.
Case study: Designing a solar-plus-storage EV charging microgrid.

Module 7: Cybersecurity, Safety, Standards & Compliance

EV charging cybersecurity
PKI and digital certificates.
Secure protocols
Standards and conformity.
Case study: Building a cybersecurity and compliance framework for a connected charging network.

Module 8: Business Models, Deployment Strategy & Future Smart Charging

Charging economics.
Demand-response business models.
Fleet electrification
Scalable deployment
Case study: Creating a business and implementation roadmap for a regional smart charging network.

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.

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