Battery Swap System ROI Calculator

This interactive model helps you size your swapping infrastructure and forecast returns. Input your target fleet size, rider behavior, hardware economics, and operational constraints. The calculator outputs daily swaps, recommended cabinets, total CapEx, daily net profit, and estimated payback months. Built with TYCORUN's real-world deployment data.

1. Market & Hardware Variables

60%

2. Economics Per Unit

Selected:

⚙️ Advanced Operational Assumptions

40
1.2x
1.2x
1500

Deployment Architecture

Financial Projects (Area Total)
Daily Net Profit Revenue per day minus all variable and fixed operational expenses.
R 0
($ 0)
Estimated Payback Calculated time needed for net profits to recover the initial heavy capital investment (CapEx).
14.2 Months
System Requirements
Daily Swaps Total number of battery exchanges required by the entire fleet of users per day.
630
Effective Slots Needed Total charging ports required across the network to satisfy demand while accounting for charging latency.
88
Recommended Cabinets Physical units required to host the necessary slots and handle the calculated load balancing based on your chosen mode.
8

Elevate Your Swapping Network 🚀

Fragmented infrastructure blocks scaling. TYCORUN provides a battle-tested turnkey ecosystem: high-cycle LFP hardware + global Cloud-SaaS. We then optimize for your local constraints to maximize long‑term IRR.

Unified SaaS & HW
Extreme-Cycle LFP
Global Cloud Network
Bankable Deployment
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Calculation Assumptions & Disclaimers

  • Battery Cost Model: Amortized via a straight-line method based on configured battery life cycles and residual value. This reflects the operational expenditure of battery wear; actual results vary with usage intensity and local climate.
  • Battery Count Model: Total batteries = Slots per cabinet × Number of cabinets. This model assumes one battery per active user is always required. If the calculated battery count is less than the fleet size, the system automatically adds batteries (and cabinets) to meet the minimum requirement.
  • Cabinet Load Logic:
    • Peak demand (3 hours) handles 25%–35% of daily volume.
    • Effective slots per unit = Total Slots - 1 (reserved for maintenance).
    • Limited Grid Capacity model extends charging to 3 hours with a 1.25x safety multiplier.
  • User Behavior: High-frequency riders average 3 swaps/day, standard users 0.5/day. Peak rush ratio default is 25%. All adjustable in 'Advanced Operational Assumptions'.
  • Financial Scope: Outputs reflect user inputs; does not automatically account for customs duties, shipping, site rental, or grid prep costs.
  • Industry Benchmarks: Utilization and demand parameters are derived from TYCORUN internal performance data and 2019–2026 industry landscape reports.
  • Economic Data: FX rates and base indices reference Q1 2026 official global statistics. Values are subject to rapid policy or economic shifts.
  • Static nature: This calculator is a static modeling tool and does not update live electricity or exchange rates via API. Users should verify local specifics before capital allocation.
  • Nature of Results: All outputs are theoretical estimates based on user inputs. They are for preliminary strategy reference only and do NOT constitute investment advice, profit promises, or a binding contract offer.
  • Actual Variance: Real-world performance may deviate significantly due to site selection, localized competition, regulatory changes, and maintenance quality.
  • Liability: TYCORUN assumes no direct or indirect legal responsibility for business outcomes or decisions derived from this tool's estimates.
  • Official Quote: Precise pricing for hardware and SaaS requires a detailed engineering proposal from the TYCORUN sales office.
  • Excluded Factors: Estimates exclude site rent, grid connection permits, network data fees, and 24/7 patrol labor costs. You may manually add these recurring expenses to the Monthly Fixed OpEx input field above to incorporate them into your total cost projection.
  • Asset Risks: Does not calculate for battery theft, vandalism, accidental damage, or premature scrapping losses.
  • Force Majeure: Excludes operational disruption risks from natural disasters, policy bans, or massive strikes.
  • Market Rivalry: Does not model fee wars or user churn caused by concurrent competitor entry.
  • ROI Methodology: Static payback period; Time Value of Money (IRR/Discount Rates) is not factored in.
  • Scale Approximations: Large networks (>200 cabinets) require regional simulation. This tool uses linear scaling which may mask localized efficiency bottlenecks.
  • Optimization: If payback exceeds 24 months or load >40 swaps/unit, consider:
    • Adjusting swap fee pricing structures.
    • Switching to high-density (16-slot) hardware.
  • Professional Consultation: For large-scale fleets (>500 vehicles) or complex urban networks, contact TYCORUN for on-site feasibility and unified SaaS integration support.

Comprehensive Feasibility Report

User Configurations
Target Fleet Size -
High-Frequency Riders -
Cabinet Size -
Target Load Limit -
Battery-to-User Ratio -
Grid Capacity / Charge Speed -
User Queuing Tolerance -
Fee Per Swap -
Configured Battery Life -
Amortization Period (Dynamic) -
Calculated Projections
Total Daily Swaps -
Recommended Cabinets -
Total Battery Packs Required -
Est. Battery Health Period -
Total Network CapEx
(Hardware: Cabinets & Batteries only)
-
Daily System Revenue -
Total Monthly System OpEx
*Disclaimer: System automatically calculates & includes battery amortization + your inputted Fixed OpEx. (Ensure rent/labor are accounted for in your input).
-
Estimated Daily Net Profit -
Cabinet Utilization Target -
Estimated Output ROI Period -
Disclaimer: The figures provided by this calculator are conservative estimates based on industry observation and your specified inputs. Actual operational performance is subject to local execution, real estate costs, and market dynamics. This data should be used for preliminary strategy only. For a precise quotation on TYCORUN's turnkey hardware and SaaS solution, please consult our engineering department directly.

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💡 A Smarter Way to Scale

Why struggle with the friction of fragmented hardware, unreliable software, and high-cost battery sub-leasing? TYCORUN delivers a battle-tested, end-to-end ecosystem. We unite high-cycle LFP hardware with a global Cloud-SaaS platform to ensure your network is bankable from Day 1. Deploy faster, scale smarter, and capture the market with uncompromised operational excellence.

System Insights

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