Electric Vehicle Markets and Investment Training Course

Participants can map EV value chains and identify commercially significant positions.

• Vehicle manufacturing, battery supply, charging, software and aftersales activities
• Value-pool mapping across EV manufacturing, energy and mobility services
• OEM strategies: vertical integration, partnerships and platform standardisation
• Charging operators, e-mobility service providers and roaming intermediaries
• Revenue-pool shifts from fuel retailing to electricity and services
• Competitor benchmarking using scale, margins, assets and customer access

Participants can compare vehicle architectures and battery cost drivers for commercial decisions.

• Battery-electric, plug-in hybrid and fuel-cell vehicle technology comparisons
• Lithium-ion cell chemistries: LFP, NMC and sodium-ion trade-offs
• Battery pack cost decomposition: cells, materials, manufacturing and integration
• Range, efficiency and payload implications for fleet applications
• Battery degradation curves, warranty terms and residual-value effects
• Learning curves and commodity-price exposure in battery-cost forecasts

Participants can match charging technologies and standards to user and site requirements.

• AC, DC and megawatt charging power levels and use cases
• Charging hardware components: dispensers, power cabinets, connectors and controls
• ISO 15118, plug-and-charge and vehicle-to-grid communication functions
• OCPP roles in charger management and backend interoperability
• Connector standards: CCS, NACS, CHAdeMO and regional compatibility
• Charging-session data: uptime, energy delivered, dwell time and failures

Participants can estimate charging demand and screen sites against commercial criteria.

• Demand estimation from traffic counts, fleet schedules and EV parc
• Catchment-area analysis using journey purpose, dwell time and alternatives
• Site-screening criteria: grid capacity, access, visibility, safety and tenure
• Queueing assumptions for charger quantity, waiting time and service levels
• Charging utilisation calculated from sessions, energy throughput and connector hours
• Location scoring matrices for prioritising public and destination charging sites

Participants can define priority customer segments and their EV purchasing criteria.

• Consumer, corporate fleet, taxi, delivery and municipal customer profiles
• Jobs-to-be-Done analysis for mobility and charging customer needs
• Fleet duty-cycle analysis using mileage, dwell periods and route predictability
• Purchase decision factors: price, range, reliability, charging and resale
• Customer acquisition cost, retention drivers and lifetime-value assumptions
• Segment prioritisation using market size, margin potential and accessibility

Participants can build and interpret EV total cost of ownership comparisons.

• Total cost of ownership model structure and required assumptions
• Purchase price, grants, financing, maintenance and insurance comparisons
• Electricity, fuel, charging fees and demand-charge cost calculations
• Residual-value forecasting using battery health, supply and used-market demand
• Lease, subscription, pay-per-use and battery-as-a-service financing models
• Break-even mileage and ownership-period sensitivity analysis

Participants can evaluate charging business models and revenue architecture.

• Charge point operator, e-mobility service provider and utility models
• Public, destination, workplace, depot and residential charging economics
• Revenue sources: energy margin, subscriptions, parking and advertising
• Tariff design using time-of-use pricing and session fees
• Roaming settlement, payment processing and network-access arrangements
• Unit economics measured through contribution margin per charging session

Participants can define operational metrics and improvement priorities for charging assets.

• Operational KPIs: uptime, availability, utilisation, fault rates and revenue
• Service-level agreements for maintenance response, repair and parts availability
• Remote monitoring workflows for charger alarms and incident management
• Preventive-maintenance plans based on asset condition and failure patterns
• Energy-loss monitoring across meters, transformers and charging equipment
• Root-cause analysis for failed sessions and poor customer experience

Participants can assess grid, tariff and energy-management implications for charging projects.

• Distribution-network connection studies, capacity requests and reinforcement costs
• Electricity tariff components: energy charges, demand charges and taxes
• Load profiles created from charging behaviour and power requirements
• Smart-charging algorithms for peak reduction and tariff optimisation
• On-site solar, battery storage and charging integration economics
• Managed charging contracts with utilities, aggregators and fleet operators

Participants can assess policy and regulatory effects on EV market and investment cases.

• Vehicle emissions standards, sales mandates and fleet procurement rules
• Purchase incentives, tax treatment and scrappage schemes affecting demand
• Charging regulations covering access, pricing transparency and payment methods
• Building codes, parking requirements and right-to-charge provisions
• Permitting pathways for chargers, grid works and civil construction
• Policy-risk registers covering expiry dates, eligibility and political change

Participants can evaluate battery supply-chain risks and circular-value opportunities.

• Critical minerals: lithium, nickel, cobalt, graphite and manganese exposure
• Supply-chain mapping from mining through refining, cells and packs
• Battery passport requirements and traceability data for market access
• Life-cycle assessment boundaries for vehicles, batteries and charging infrastructure
• Second-life battery applications, technical screening and revenue considerations
• Recycling economics, material recovery rates and producer-responsibility obligations

Participants can prepare financial models for EV and charging investment opportunities.

• Discounted cash flow model structure for EV infrastructure projects
• Capital expenditure schedules for equipment, civil works and grid connection
• Operating-cost assumptions: electricity, maintenance, rent, software and labour
• Net present value, internal rate of return and payback calculations
• Working-capital treatment for payment settlement, inventory and service contracts
• Model audit checks for formulas, units, timing and assumption consistency

Participants can test EV investment risks and prepare decision-ready governance materials.

• Scenario analysis for adoption, utilisation, electricity prices and incentives
• Sensitivity tables for capex, revenue, residual value and discount rates
• Monte Carlo simulation principles for uncertain demand and price inputs
• Risk registers covering technical, commercial, regulatory and delivery risks
• Stage-gate governance for development, investment approval and construction decisions
• Investment-committee papers: assumptions, returns, risks and recommended actions

Participants can develop phased fleet electrification strategies with operating plans.

• Fleet baseline analysis using vehicle age, duty cycles and fuel spend
• Vehicle suitability scoring by route, payload, range and charging windows
• Replacement sequencing aligned with lease expiry and asset lifecycle
• Depot charging layout, power demand and operational scheduling requirements
• Driver training, dispatch protocols and change-management requirements
• Fleet transition roadmap with milestones, owners, budgets and performance measures

Participants can formulate market-entry and scaling strategies for EV businesses.

• Market-entry choices: build, buy, partner, franchise or licence
• Partner due diligence for utilities, landlords, OEMs and technology vendors
• Commercial agreements covering exclusivity, revenue sharing and performance obligations
• Network expansion sequencing based on demand clusters and capital constraints
• Make-or-buy decisions for software, operations and maintenance capabilities
• Strategic roadmap linking market priorities, investment gates and operating targets

Participants can build, review and present a complete EV market and investment case.

• Market thesis supported by demand data, segmentation and competitor evidence
• Customer proposition, business model and charging-network operating assumptions
• Site or fleet plan with infrastructure, energy and delivery requirements
• Discounted cash flow model with scenarios, sensitivities and investment metrics
• Risk register, mitigation plan and stage-gate approval recommendations
• Decision presentation structured for executive and investment-committee review