For parking operators, adding EV charging can create a new service and revenue stream, but the operating problem is more complex than installing several fixed chargers. Charging bays may be occupied, some floors may lack electrical infrastructure, and drivers may not want to move their vehicles after parking. A Mobile EV Charger addresses this service gap by bringing stored energy to the parked vehicle.
Door Energy develops and manufactures mobile EV charging and energy-storage charging systems for commercial and industrial applications. For parking facilities with mapped bays and controlled low-speed routes, the Door Energy MCP-D can receive a charging request, locate the vehicle, move to the assigned bay, complete the charging task, and return to a standby or replenishment point.
Technology alone does not create a profitable service. Operators still need to decide how long a free trial should run, when charging should become paid, whether to charge by energy or by task, and how much utilization is required to cover electricity, maintenance, labor, software, and equipment costs. This article presents a staged commercial model built around the questions that parking operators, property managers, fleet customers, and charging service providers need answered before they invest.
The International Energy Agency Global EV Outlook 2025 reports that global electric car sales exceeded 17 million in 2024 and represented more than 20 percent of all cars sold. The global stock of public charging points passed 5 million after more than 1.3 million points were added in 2024, an increase of over 30 percent from the previous year.
Europe ended 2024 with just over 1 million public charging points, while the United States reached almost 200,000. Fast charging also continued to expand: the global stock of public fast chargers reached about 2 million, and the number of chargers rated at 150 kW or above grew by more than 50 percent during 2024. These figures support long-term charging demand, but they do not tell a parking operator how many paid sessions a specific site can generate.
| International indicator | Reported figure | Decision for parking operators |
| Global electric car sales in 2024 | More than 17 million | The addressable user base continues to grow |
| Share of global car sales | More than 20% | Charging is moving toward a mainstream parking need |
| Global public charging points | More than 5 million | Commercial charging is already a scaled service category |
| Public points added in 2024 | More than 1.3 million | Infrastructure investment remains active |
| European public charging points | Just over 1 million | Parking charging demand is mature in many markets |
| US public charging points | Almost 200,000 | Local coverage gaps still create opportunities |
| Global fast charging points | About 2 million | Drivers increasingly value faster service |
| Growth of chargers at 150 kW or above | More than 50% | Charging speed remains commercially important |
A separate California Energy Commission assessment projects that 1.01 million public and shared private chargers may be needed to support 7.1 million passenger plug-in electric vehicles in California by 2030. The scale is significant, yet each individual site still needs a local demand study. Vehicle volume, dwell time, access to home charging, parking fees, electricity tariffs, and the existing fixed-charger network all affect commercial performance.
Many parking facilities do not have a simple shortage of chargers. Instead, charging capacity exists in the wrong place or at the wrong time. A driver may already be parked in a standard bay and may not want to relocate. Dedicated EV bays may be occupied by vehicles that are no longer charging. Another floor may have demand but no cabling. A holiday, exhibition, or office event may create a short peak that does not justify permanent construction.
| Customer pain point | Operational consequence | Capability the customer needs |
| Limited dedicated charging bays | Drivers queue while ordinary bays cannot be served | Extend service beyond fixed charging bays |
| Drivers do not want to move after parking | Available charging capacity does not convert into orders | Bring the charger to the parked vehicle |
| Charging bays remain occupied | Both the charger and parking space lose productivity | Use booking and mobile dispatch to reduce bay dependence |
| Some areas lack cabling | Electrical upgrades add cost and delay | Test demand before committing to permanent infrastructure |
| Demand changes by day and zone | Permanent assets may be underused | Move capacity between demand areas |
| Free charging has no exit plan | Energy and labor costs rise without revenue | Use a staged conversion model |
| Users mainly care about departure readiness | Power ratings alone do not prove service value | Schedule tasks around departure time |
The person buying the equipment is usually not the driver receiving the energy. A parking operator wants higher service revenue and more productive parking space. A hotel or shopping center may value guest convenience and membership benefits. An airport parking operator needs reliable task completion before scheduled pickup. A corporate fleet customer cares about departure readiness and service guarantees. A charging operator focuses on order density, unit utilization, and operating margin.
For this reason, a business case should not present mobile charging as another way to sell electricity. The offer must explain how the service reduces vehicle relocation, covers more bays, responds to temporary peaks, and produces measurable revenue without immediately installing high-power electrical infrastructure at every parking space.
The US Department of Energy identifies shopping centers, airports, hotels, government offices, and other locations where drivers park for long periods as suitable places for public charging. A mobile task, however, also requires time for route planning, travel, positioning, connection, charging, disconnection, and return. A vehicle that will leave in 15 minutes may not offer enough time for useful energy delivery.
| Required input | Why the dispatch system needs it |
| Parking bay or vehicle location | Locates the vehicle and estimates travel time |
| Expected departure time | Determines urgency and available charging window |
| Current state of charge or requested energy | Estimates task duration and energy demand |
| Connector type | Confirms vehicle compatibility |
| Connection method allowed by the site | Determines whether staff support is required |
| Robot remaining energy | Confirms the task can be completed safely |
| Return to charge time | Protects capacity for the next task |
If Vehicle A will leave in two hours and Vehicle B will remain for six hours, the system may need to serve Vehicle A first even when Vehicle B submitted its request earlier. A practical dispatch model should combine request time with departure time, required energy, travel distance, connector compatibility, and the robot's remaining energy.
A free campaign can produce high activity without proving a viable market. Some drivers will participate only because the energy is free. Operators should separate four funnel stages: drivers who see the offer, drivers who open the booking page, drivers who submit a valid request, and drivers who accept a clearly displayed paid price.
For example, a site may record 100 visiting EVs per day, 20 service-page visits, 10 valid requests, and only 4 users willing to pay the standard price. Revenue planning should begin with the 4 paid orders rather than the 20 expressions of interest. Free-trial data should therefore capture payment intent before the trial ends.
Every mobile task creates fixed operating work even when the vehicle receives only a small amount of energy. The unit must move, locate the bay, connect, monitor the session, disconnect, and return. A pricing plan based only on kWh can lose money on small orders because task costs do not fall in proportion to delivered energy.
| Observed order pattern | Commercial risk | Possible response |
| Many orders with very low kWh | Frequent dispatch with insufficient revenue | Add a minimum dispatch fee |
| Very large orders | One vehicle occupies service capacity for too long | Offer capped energy packages |
| Requests cluster in a short peak | The system cannot serve every user immediately | Use priority and time-based pricing |
| Free orders greatly exceed paid orders | The trial is measuring free-energy demand | Reduce the free allowance and retest |
| Tasks are rejected because the unit is depleted | Replenishment capacity is too low | Add charging windows or another unit |
Battery capacity indicates how much energy the equipment can hold, but daily throughput depends on replenishment. Door Energy estimates that, under the intended project configuration, the mobile unit may be replenished in about one hour from a suitable DC charger or about two hours from an appropriate AC power source. Actual time depends on input power, temperature, battery condition, reserve limits, and the final configuration.
Customers should therefore calculate daily delivered kWh, not only the number of requested sessions. They also need a safe return-to-charge area, a midday or overnight replenishment plan, and a minimum energy reserve. Multiple units should return at different times so that the full service does not become unavailable at once.
The European Commission Alternative Fuels Infrastructure Regulation overview highlights payment options, price transparency, consumer information, interoperability, and non-discriminatory access for publicly available charging. Operators in Europe should show the charging price, dispatch fee, priority fee, cancellation rule, authorization amount, and any post-session charge before the customer confirms the order.
Rules for electricity resale, metering, tax, payment processing, parking, fire protection, accessibility, and personal data differ by country and city. A pricing example from another market is not a legal or commercial template. Local advisers should confirm the required permits and customer disclosures before launch.
The Door Energy MCP-D autonomous charging robot is designed for parking facilities with mapped bays, controlled low-speed routes, and a defined standby or replenishment location. Its operating principle reverses the fixed-charger journey: instead of asking the vehicle to search for an available charging bay, the charging resource moves toward the parked vehicle.
This approach can address three common purchasing concerns. First, it reduces the need for drivers to relocate after parking. Second, it extends charging service to ordinary bays when dedicated EV spaces are full. Third, it gives the operator demand evidence before a larger fixed-infrastructure project begins. Door Energy can then match the equipment configuration and operating process to the site rather than treating every garage as the same environment.
| MCP-D specification | Published value | Relevance to the customer |
| Battery capacity | 105 kWh | Stores energy for mobile charging tasks |
| Charging power | 100 kW | Supports shorter service sessions where the vehicle can accept the power |
| Vehicle connectors | CCS1 and CCS2 | Supports common North American and European connector requirements |
| Voltage range | 200 to 1000 VDC | Covers different compatible vehicle voltage platforms |
| Communication | OCPP 1.6J | Supports integration with charging and management platforms |
| Autonomous driving level | L4 | Designed for autonomous movement within the intended environment |
| Maximum travel speed | 10 km/h | Matches controlled low-speed parking operation |
| Gradeability | More than 20% | Supports many garage ramp conditions after site assessment |
| Protection rating | IP55 | Supports use in demanding parking environments |
| Operating temperature | -20 C to 65 C | Covers a broad stated temperature range |
| Thermal management | Liquid cooling | Supports battery thermal control |
| Battery cycle life | More than 5,000 cycles* | Supports repeated commercial energy cycles |
| Maintenance approach | Modular design | Simplifies component access and maintenance planning |
*The product page states more than 5,000 cycles at 90 percent depth of discharge and 80 percent end of life. Final performance, output, connection method, and configuration depend on the approved project design and vehicle conditions.
| Step | Operating process | Customer problem addressed |
| 1 Request | The driver or operator submits a charging request through the platform or dispatch system | The driver does not need to search for another bay |
| 2 Locate | The system uses the parking map and sensor data to identify the vehicle position | Reduces manual vehicle searching |
| 3 Move | The unit travels to the assigned bay through the approved route | Extends service beyond fixed charging spaces |
| 4 Charge | A configured automatic connection or manual plug-in starts the session | Allows the project to match site and safety requirements |
| 5 Complete | The unit ends the session and returns to standby or replenishment | Supports repeatable task scheduling |
Door Energy also publishes an MCP-D parking facility solution summary that emphasizes changing demand between bays, limited electrical capacity, and the need to assess ramps, turns, pedestrian routes, and the return-to-charge point. These site conditions matter as much as charging power.
| Stronger initial fit | Requires additional assessment |
| Clearly numbered and mapped parking bays | Very narrow or frequently blocked travel routes |
| Long average vehicle dwell time | Most vehicles leave after a short stay |
| Predictable low-speed internal routes | Routes change frequently because of construction |
| Reliable communications and positioning | Weak communications in underground areas |
| A protected replenishment point | No safe location for replenishment |
| A booking or parking management platform | All requests depend on manual paper records |
| Demand extends beyond fixed charging bays | Existing fixed chargers are already underused |
Door Energy also offers other mobile energy-storage platforms for roadside assistance, commercial vehicles, construction sites, and industrial power support. Those applications may require different energy capacity, power, connectors, vehicle platforms, or multiple outputs. Parking facilities should select MCP-D for its specific low-speed, fixed-bay operating logic rather than choosing another platform only because it has a higher headline power rating.
The first stage should test whether drivers value charging without moving their cars. It should not attempt to distribute the maximum amount of free energy. A four-to-six-week pilot can offer each vehicle one session of 10 to 15 kWh or 20 to 30 minutes. Every request should capture the parking bay, expected departure time, requested energy, dispatch time, connection time, delivered energy, completion status, and willingness to pay.
Unlimited free service creates two problems. It attracts users who may never pay, and it consumes the same battery, labor, and maintenance resources needed for commercial testing. A limited allowance gives users enough experience to understand the convenience while preserving a reason to consider the paid service.
Once the operating process is stable, the site can introduce an energy price plus a modest dispatch fee. An illustrative starting range might be USD 0.35 to USD 0.45 per kWh plus USD 3 to USD 5 per task. These figures are examples only. The actual price must reflect local electricity tariffs, charging losses, labor, payment fees, maintenance, tax, and parking regulations.
The operator should watch what happens after the price becomes visible. A lower order count is expected because the trial no longer attracts every free-energy user. The important question is whether the remaining paid sessions cover their variable costs and whether customers understand the service fee. If conversion is weak, the cause may be pricing, unclear instructions, a slow booking flow, or an overly generous free allowance.
| Service option | Illustrative rule | Purpose |
| Standard booking | Energy price plus base dispatch fee | Serves users with flexible schedules |
| Off-peak booking | 10% to 15% below the standard rate | Moves long-dwell vehicles into low-demand periods |
| Peak booking | 15% to 25% above the standard rate | Balances demand when capacity is limited |
| Priority dispatch | Additional USD 5 to USD 12 | Supports users who will leave soon |
| Energy package | 10, 20, or 30 kWh package | Gives the customer a predictable total |
| Emergency departure support | Higher dispatch fee plus energy | Helps a low-charge vehicle leave the facility |
| Late cancellation fee | Free cancellation before a stated cutoff | Reduces wasted travel and reserved capacity |
Time-based pricing should manage demand as well as revenue. A driver who will remain for eight hours can accept an off-peak task, while a vehicle leaving in 60 minutes may pay for priority. The dispatch system can use both choices when it assigns the Door Energy unit.
Walk-up orders fluctuate with traffic, events, seasons, and weather. Mature sites can add recurring revenue through memberships and business contracts. A hotel may include scheduled charging in a premium parking package. An office property may sell monthly employee allocations. A fleet can pay for guaranteed service availability plus actual delivered energy.
| Revenue source | Suitable customer | Commercial structure |
| Monthly membership | Frequent individual users | Subscription plus member charging price |
| Retail or hotel benefits | High-value guests and loyalty members | The property purchases a defined allowance |
| Employee charging plan | Office tenants | Monthly task or kWh allocation |
| Fleet service agreement | Commercial vehicle operators | Availability fee plus actual energy |
| Priority task fee | Time-sensitive drivers | Per-order premium |
| Temporary event service | Exhibitions and seasonal events | Fixed event period plus energy use |
| Stage | Primary goal | Evidence required before advancing |
| Free pilot | Verify the operational problem | Stable valid requests, acceptable task time, and documented payment intent |
| Introductory pricing | Cover variable cost | Positive contribution per order and an understandable customer offer |
| Differentiated pricing | Improve utilization and peak economics | Reliable time-of-day data and repeat paid use |
| Recurring contracts | Create predictable revenue | Stable service levels and clear capacity commitments |
A fixed charger can remain connected to the same bay, while a Mobile EV Charger performs a new movement and handling process for each task. Pricing only by kWh may undercharge small sessions. A clearer structure separates the energy component from the service component.
Customer price = energy charge + dispatch fee + optional priority fee + post-session fee - member discount
The dispatch fee covers the work that occurs regardless of kWh: route planning, movement, connection, monitoring, disconnection, payment processing, and return. The energy price covers purchased electricity, conversion losses, battery use, and the energy component of site costs.
The following calculation demonstrates the method. It is not a Door Energy price quote, a market average, or a guaranteed return. Each operator should replace every assumption with its local data.
| Illustrative item | Assumption | Calculated amount |
| Energy delivered to the vehicle | 20 kWh | 20 kWh |
| Combined transfer efficiency | 90% | About 22.2 kWh input |
| Purchased electricity | USD 0.14 per kWh | USD 3.11 |
| Dispatch and labor | Per order | USD 2.50 |
| Maintenance reserve | Per order | USD 1.50 |
| Site revenue share | Per order | USD 1.00 |
| Payment and platform cost | Per order | USD 0.50 |
| Total variable cost | Sum of costs above | USD 8.61 |
| Energy revenue | USD 0.45 per kWh | USD 9.00 |
| Dispatch fee | Per order | USD 6.00 |
| Total order revenue | Energy plus dispatch | USD 15.00 |
| Contribution before fixed costs | Revenue minus variable cost | USD 6.39 |
The USD 6.39 contribution is not net profit. Equipment depreciation, financing, insurance, software, permits, fixed staff, tax, and management overhead still need to be deducted. The model is useful because it shows whether one additional order improves or worsens cash performance.
At an average of 20 kWh delivered per order, four daily sessions require 80 kWh at the vehicle side before allowing for losses and reserve limits. Six or eight sessions require replenishment during the operating day, lower average energy per task, or coordination between more than one unit.
| Daily orders | Energy delivered per day | Monthly orders | Monthly contribution* | Operating implication |
| 2 | 40 kWh | 60 | About USD 383 | Demand is still in validation |
| 4 | 80 kWh | 120 | About USD 767 | A single-cycle day may be possible subject to reserves and losses |
| 6 | 120 kWh | 180 | About USD 1,150 | A daytime replenishment window is required |
| 8 | 160 kWh | 240 | About USD 1,534 | Reliable fast replenishment or multi-unit coverage is required |
*Based on USD 6.39 contribution per order and 30 operating days. Figures exclude all fixed costs and do not represent expected project performance.
| Indicator | Calculation | Decision supported |
| Paid conversion rate | Paid users divided by trial users | Whether customers value the service at the stated price |
| Task completion rate | Completed tasks divided by accepted tasks | Whether the operating system is reliable |
| Average delivered energy | Total delivered kWh divided by completed tasks | Whether each task can support the required margin |
| Contribution per task | Order revenue minus variable cost | Whether additional orders improve cash performance |
| Rejected request rate | Rejected requests divided by valid requests | Whether replenishment or equipment capacity is insufficient |
A high rejection rate does not automatically justify another purchase. If each paid task still loses money, adding another unit will expand the loss. Expansion becomes more defensible when the existing service has a positive contribution, paid demand repeats, utilization is stable, and valid requests are rejected because capacity is genuinely unavailable.
A parking facility should not move from free charging to full commercial pricing in one step. It should first prove that drivers value charging without relocating their vehicles, then test a price that covers variable cost, then introduce time and priority options, and finally add memberships or business contracts that make revenue more predictable.
The Door Energy MCP-D supports this model with 105 kWh of stored energy, up to 100 kW charging power, CCS1 and CCS2 options, OCPP 1.6J communication, low-speed autonomous movement, and a modular design intended to simplify maintenance. More importantly, it addresses practical parking problems: limited dedicated charging bays, changing demand across zones, drivers who do not want to move after parking, and sites that need demand evidence before a major electrical upgrade.
A suitable project begins with site data. Door Energy and the parking operator should review bay geometry, ramps, turns, pedestrian routes, communications, connection method, expected departure times, daily energy demand, and the return-to-charge location. Operators can review Door Energy parking and mobile charging solutions, compare the broader Mobile EV Charger product range, or contact Door Energy for project-specific configuration discussions.
The market data in this article comes from public international and government sources. Every financial table is an illustrative model rather than a forecast or investment guarantee. Publishing the source date, assumptions, product-page links, and local regulatory limits gives readers enough information to evaluate the method and strengthens the article's experience, expertise, authority, and trust signals.
A four-to-six-week trial is a practical starting point, but the site needs enough valid requests to study task completion, dwell time, delivered energy, and payment intent. A low-traffic facility may need a longer test. The trial should have a clear end date and a one-time energy or time limit.
A one-time allowance of 10 to 15 kWh, or 20 to 30 minutes, can demonstrate the convenience without replacing the later paid service. The correct allowance depends on the local vehicle mix, average dwell time, electricity cost, and the purpose of the pilot.
A combined structure is usually easier to sustain. The kWh price covers energy-related costs, while the dispatch fee covers movement, positioning, connection, monitoring, and return. A pure kWh price can undercharge small orders.
The site should first confirm that valid requests are stable, task completion is reliable, average service time is acceptable, and some users accept a visible price. A calendar date alone is not enough. Commercial evidence should trigger the transition.
The answer depends on energy delivered per vehicle, conversion losses, reserve limits, vehicle acceptance, and the final project settings. Ten 5 kWh emergency top-ups and three 30 kWh sessions place very different demands on the same 105 kWh energy store. Door Energy should size the task model using the expected order mix.
Departure time identifies the true service deadline. A vehicle leaving in one hour may need priority over a vehicle parked for the rest of the day. The scheduling system should combine departure time with requested energy, travel distance, connector type, and remaining robot energy.
The system can receive requests, locate a bay, plan a route, and move autonomously within the approved environment. The physical connection may be automated when the configured system and vehicle support it, or completed manually when the project requires staff involvement. Site rules and local safety requirements determine the final process.
It may be suitable after a site assessment. The review should cover lane width, turning radius, slope, clearance, communications, positioning, lighting, ventilation, fire protection, impact protection, pedestrian routes, and emergency access. A product specification alone cannot confirm site suitability.
The dispatch platform should maintain a minimum reserve, estimate energy before accepting each task, and schedule replenishment before the unit reaches a critical level. Off-peak pricing, capped packages, staggered charging, and multiple units with different return times can protect peak availability.
Usually it should complement them. Fixed chargers serve predictable base demand efficiently. Mobile charging can cover ordinary bays, temporary peaks, remote zones, booked tasks, and periods when a fixed point is unavailable. A mixed system lets the operator match infrastructure to demand.
Expansion is more defensible when paid sessions already produce a positive contribution, the existing unit reaches sustained utilization, and valid requests are rejected because no capacity is available. Low margins, weak conversion, or poor task completion should be fixed before equipment is added.
Useful inputs include parking maps, lane widths, ramp gradients, turning areas, floor clearances, communications coverage, pedestrian routes, daily EV counts, dwell-time distribution, expected kWh per task, connector mix, operating hours, electricity tariffs, replenishment options, and the preferred connection process.
