+254 721 331 808    training@upskilldevelopment.com

Vehicle-to-Grid (V2G) Systems Engineering Training Course

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Course Duration 10 Days

Online Training Registration

Training Mode Platform Fee Enroll
Online Training Zoom/ Google Meet 1,740USD Register

Classroom/On-site Training Schedule

Course Date Location Fee Enroll
28/09/2026 to 09/10/2026 Nairobi 2,900 USD Register
28/09/2026 to 09/10/2026 Mombasa 3,400 USD Register
26/10/2026 to 06/11/2026 Nairobi 2,900 USD Register
26/10/2026 to 06/11/2026 Mombasa 3,400 USD Register
23/11/2026 to 04/12/2026 Nairobi 2,900 USD Register
23/11/2026 to 04/12/2026 Mombasa 3,400 USD Register
21/12/2026 to 01/01/2027 Mombasa 3,400 USD Register
28/12/2026 to 08/01/2027 Nairobi 2,900 USD Register

Course Introduction

Vehicle-to-Grid (V2G) Systems Engineering Training Course is designed to equip electrical engineers, power system specialists, utility professionals, electric mobility experts, renewable energy engineers, grid operators, energy managers, infrastructure planners, project developers, consultants, and technical leaders with advanced knowledge and practical skills required to design, integrate, operate, and optimize bidirectional electric vehicle energy systems. The course addresses the growing role of electric vehicles as distributed energy resources capable of supporting grid flexibility, renewable energy integration, demand management, energy resilience, and the transformation of future intelligent electricity networks.

The training provides a comprehensive understanding of Vehicle-to-Grid systems engineering principles, including bidirectional charging technologies, electric vehicle power flow management, battery energy storage characteristics, charging infrastructure design, grid integration requirements, communication protocols, smart charging strategies, demand response, ancillary grid services, energy management systems, power quality considerations, cybersecurity, control architectures, battery degradation management, regulatory frameworks, and operational optimization. Participants will gain practical knowledge of engineering methodologies required to develop secure, efficient, and reliable V2G solutions that enable electric vehicles to interact dynamically with modern power systems.

This course focuses on V2G applications across utility networks, smart grids, microgrids, commercial fleets, public charging networks, residential energy systems, renewable energy facilities, electric bus operations, industrial energy systems, emergency power applications, and future smart city infrastructure. Participants will learn to evaluate V2G opportunities, design bidirectional charging systems, assess grid impacts, optimize vehicle battery utilization, integrate renewable energy resources, develop control strategies, and implement engineering solutions that enhance grid stability, energy efficiency, and sustainable transportation development.

Participants will develop expertise in emerging technologies supporting Vehicle-to-Grid systems engineering, including artificial intelligence, machine learning, digital twins, Industrial Internet of Things, cloud-based energy platforms, advanced battery management systems, smart meters, virtual power plants, predictive analytics, blockchain-enabled energy transactions, cybersecurity solutions, automated demand response platforms, and digital energy management tools. These technologies enable utilities and mobility providers to optimize charging behavior, predict energy availability, manage distributed resources, improve grid visibility, and maximize the technical and economic value of electric vehicle energy assets.

The program also examines strategic challenges including battery degradation, interoperability standards, grid regulations, cybersecurity risks, communication reliability, consumer participation, business models, electricity market integration, renewable energy variability, infrastructure investment, privacy concerns, and future mobility transformation. Through engineering case studies, V2G architecture exercises, grid simulation activities, demand response scenarios, battery performance assessments, and practical smart energy applications, participants will develop competencies required to implement internationally recognized V2G engineering practices.

Upon successful completion of this training, participants will be equipped to design, evaluate, manage, and optimize Vehicle-to-Grid systems while supporting the convergence of transportation and energy sectors. The acquired knowledge will enable professionals to improve grid flexibility, enhance renewable energy utilization, reduce energy costs, strengthen resilience, optimize electric vehicle infrastructure, and lead innovative V2G initiatives that contribute to future intelligent, sustainable, and low-carbon power systems.

Duration

10 days

Who Should Attend

  • Electrical Engineers involved in EV charging and grid integration projects.

  • Power System Engineers analyzing distributed energy resource impacts.

  • Utility Engineers managing smart grid and electric mobility programs.

  • Electric Vehicle Engineers developing advanced mobility energy solutions.

  • Renewable Energy Engineers integrating EVs with clean energy systems.

  • Grid Operators responsible for flexible power system management.

  • Energy Storage Engineers working with vehicle battery technologies.

  • Smart Grid Specialists implementing intelligent energy networks.

  • Project Managers leading V2G infrastructure development initiatives.

  • Asset Managers responsible for charging and energy infrastructure lifecycle performance.

  • Engineering Consultants supporting transportation electrification projects.

  • Utility Executives developing future energy and mobility strategies.

Course Objectives

  • Develop advanced knowledge of Vehicle-to-Grid systems engineering principles, technologies, applications, and international industry practices.

  • Understand bidirectional charging systems, electric vehicle batteries, power converters, communication networks, and V2G architectures.

  • Design and evaluate V2G infrastructure supporting grid services, renewable integration, and intelligent energy management.

  • Analyze the technical impacts of electric vehicle participation in power networks, including voltage, frequency, and power quality considerations.

  • Apply smart charging, demand response, energy optimization, and distributed resource management strategies for V2G systems.

  • Utilize artificial intelligence, digital twins, Industrial Internet of Things, and predictive analytics to optimize V2G operations.

  • Develop control strategies enabling secure coordination between electric vehicles, charging stations, utilities, and energy markets.

  • Apply cybersecurity principles, interoperability standards, communication protocols, and regulatory requirements for V2G deployment.

  • Evaluate battery performance, degradation mechanisms, lifecycle impacts, and optimization approaches for bidirectional energy exchange.

  • Integrate V2G systems with renewable energy, battery storage, microgrids, smart cities, and future electricity networks.

  • Address emerging challenges including autonomous mobility, energy market participation, consumer engagement, and future V2G technologies.

  • Enhance professional competency through engineering case studies, simulations, grid assessments, optimization exercises, and practical V2G system development projects.

Course Outline

Module 1: Fundamentals of Vehicle-to-Grid Systems

  • Introduction to Vehicle-to-Grid concepts and future energy applications.

  • Evolution of electric vehicles as distributed energy resources.

  • Technical principles governing bidirectional power exchange.

  • Global V2G deployment trends, standards, and industry developments.

Module 2: Electric Vehicle Battery Technologies

  • Battery technologies supporting Vehicle-to-Grid energy applications.

  • Battery performance characteristics affecting V2G operation.

  • Battery degradation impacts from repeated energy cycling.

  • Battery management systems supporting safe operation.

Module 3: Bidirectional Charging Infrastructure

  • Architecture of bidirectional charging systems for V2G applications.

  • Power converter technologies enabling two-way energy flow.

  • Charging station design requirements for V2G deployment.

  • Electrical protection and safety considerations for bidirectional systems.

Module 4: V2G Grid Integration Engineering

  • Integration of electric vehicles into modern power distribution networks.

  • Grid impact assessment methodologies for V2G systems.

  • Voltage regulation and frequency support applications.

  • Power quality management in vehicle-connected networks.

Module 5: Smart Charging and Energy Management

  • Intelligent charging strategies supporting grid flexibility.

  • Energy management systems coordinating V2G operations.

  • Dynamic charging optimization based on grid conditions.

  • Automated load balancing for distributed vehicle resources.

Module 6: Renewable Energy Integration with V2G

  • Renewable energy coordination using electric vehicle storage capacity.

  • Solar and wind integration supported by V2G systems.

  • Renewable energy forecasting for charging optimization.

  • Hybrid renewable-V2G system design approaches.

Module 7: Ancillary Grid Services Using V2G

  • Frequency regulation applications using vehicle batteries.

  • Voltage support strategies using distributed EV resources.

  • Peak shaving and demand management applications.

  • Emergency backup power capabilities through V2G.

Module 8: Communication and Control Architectures

  • Communication protocols supporting V2G system coordination.

  • Smart meter integration for energy exchange management.

  • Cloud-based platforms controlling distributed vehicle resources.

  • Real-time monitoring and control of V2G networks.

Module 9: Artificial Intelligence and Digital Technologies

  • Artificial intelligence applications for V2G optimization.

  • Digital twins supporting V2G system modeling and analysis.

  • Industrial Internet of Things enabling intelligent monitoring.

  • Predictive analytics improving energy management decisions.

Module 10: Cybersecurity and Data Protection

  • Cybersecurity risks affecting connected vehicle energy systems.

  • Secure communication methods for V2G infrastructure.

  • Data privacy considerations in intelligent charging networks.

  • Cyber resilience strategies for future energy mobility systems.

Module 11: Microgrids and Distributed Energy Applications

  • V2G integration within residential and commercial microgrids.

  • Electric vehicle fleets as flexible energy resources.

  • Islanded operation using V2G-supported microgrids.

  • Resilient energy systems enabled by vehicle storage capacity.

Module 12: V2G Economics and Business Models

  • Economic value creation through vehicle energy services.

  • Electricity market participation opportunities for V2G systems.

  • Revenue models supporting V2G investment decisions.

  • Cost-benefit analysis of bidirectional charging infrastructure.

Module 13: Standards, Regulations, and Interoperability

  • International standards governing V2G technology deployment.

  • Regulatory frameworks supporting vehicle-grid interaction.

  • Interoperability requirements between vehicles and charging systems.

  • Grid codes influencing future V2G implementation.

Module 14: V2G Operations and Asset Management

  • Operational strategies improving V2G system reliability.

  • Maintenance approaches for charging infrastructure assets.

  • Performance monitoring and lifecycle optimization methods.

  • Asset management strategies for distributed energy resources.

Module 15: Emerging V2G Technologies and Future Trends

  • Artificial intelligence-driven autonomous V2G energy management.

  • Vehicle-to-home and vehicle-to-building energy applications.

  • Advanced battery technologies improving V2G performance.

  • Future integration with smart cities and digital energy networks.

Module 16: Practical Vehicle-to-Grid Engineering Project

  • Real-world V2G implementation case studies and technical evaluations.

  • Development of integrated V2G system design strategies.

  • Grid support, optimization, and performance assessment exercises.

  • Final project demonstrating competency in Vehicle-to-Grid systems engineering.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.

Course Duration 10 Days

Online Training Registration

Training Mode Platform Fee Enroll
Online Training Zoom/ Google Meet 1,740USD Register

Classroom/On-site Training Schedule

Course Date Location Fee Enroll
28/09/2026 to 09/10/2026 Nairobi 2,900 USD Register
28/09/2026 to 09/10/2026 Mombasa 3,400 USD Register
26/10/2026 to 06/11/2026 Nairobi 2,900 USD Register
26/10/2026 to 06/11/2026 Mombasa 3,400 USD Register
23/11/2026 to 04/12/2026 Nairobi 2,900 USD Register
23/11/2026 to 04/12/2026 Mombasa 3,400 USD Register
21/12/2026 to 01/01/2027 Mombasa 3,400 USD Register
28/12/2026 to 08/01/2027 Nairobi 2,900 USD Register

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