The toolbox
The full capability set of the engineer-led depot twin, grouped by what you're deciding. It's physics-based — grounded in peer-reviewed engineering science, not rules of thumb or vendor guesswork. Every capability is capacity-level and directional, and every number traces to a named assumption. The free feasibility check is live now; the rest is part of the engineer-led twin — built with you, owned by you.
A fast first-pass screen for a depot — energy demand, peak load, the likely utility service tier, and a rough cost — in minutes, not a multi-week study.
Not: a detailed design or a commitment-grade number. It tells you whether a depot is worth pursuing.
A 15-minute-resolution charging-load profile across the worst plausible day — managed vs. unmanaged — with per-node feasibility against the site's electrical limits, showing where and when a plan would breach service capacity.
Not: a billing-grade or stamped study. It's capacity-level, single-day, and directional.
Charging follows a real constant-current / constant-voltage curve — the taper as each battery nears full — so a charger's effective throughput reflects the physics, not a flat rate that overstates how fast the fleet tops up.
Not: a manufacturer-specific charge model; it's a representative CC-CV curve, capacity-level and directional.
Models a grid-import limit that varies through the day — low- and high-power periods — and shows where storage bridges the low-power window so charging continues through it. Capacity-level and directional, not a billing-grade study.
Not: a go/no-go — the conservative worst-day feasibility verdict assumes a depleted battery and doesn't count the bridge. It benefits only sites where the constrained connection would otherwise strand energy.
A multi-day representative week that generates a feasible charge schedule — which bus, which charger, when, at what power — meeting every departure under the service limit, with conservative day-over-day battery carryover. Every assignment traces to a rule.
Not: an operational commitment or a control plan. It's a capacity-level, directional reference.
One click loads a cold-service-day preset (higher driving energy, stretched charge window) or a hot-day preset (cooling load) — every value labeled, sourced, and editable.
Not: hidden buffers. Conservative presets that only ever raise demand, shown and adjustable.
Shows the key verdict as a band, not a dot — by re-running the model across the plausible range of your highest-leverage assumptions. The spread is real, traced to named ranges.
Not: a fabricated ±. The band is the model's own output across sourced assumption ranges.
Idle buses discharge their spare energy — only what sits above each bus's own next-shift reserve — to shave the depot's evening peak. Round-trip losses are counted; no free energy.
Not: ever at the expense of a bus's own route — a bus that would strand is refused, not counted. Vehicle-to-load, not V2G.
Model a no-grid or grid-capped window and a relocatable power unit that carries the depot through it — and if the sources can't cover it, the window reads infeasible, surfaced not hidden.
Not: a live control integration. Charge curtailment is modeled — response latency and power floors respected — not an EMS hookup.
Feasibility across a range of battery sizes for the operating week — a decision space you read and choose from, each size feasibility-checked against the frozen engine.
Not: an opaque “the size.” You pick; the tool shows the consequence.
A directional estimate of the monthly demand-charge dollars at the modeled peak, from sourced, dated utility rates, with a diversity/coincidence option. When no rate resolves, it says so rather than guessing.
Not: a guaranteed utility bill; time-of-use and ratchet structures are simplified.
Shows the demand-charge saving a battery would deliver on the modeled day, and a directional storage business case.
Not: a sizing recommendation; resilience is described qualitatively, never priced.
A 20-year EV-vs-ICE lifecycle view — NPV, payback, TCO — calculator-first: enter your own quotes and rates, or use clearly labeled directional defaults. Every figure traces to a named assumption and is confidence-labeled.
Not: a guaranteed bill, a financed quote, or investment advice.
A handful of fixed configurations — stay-ICE, grid + chargers, + solar, + storage, + both — ranked by 20-year NPV and feasibility-checked, surfacing the trade-offs.
Not: an auto-pick or optimizer. It doesn't size or schedule for you, and an infeasible scenario never outranks a feasible one — cost never overrides physics.
The value of shaving that peak — avoided demand charges and mobile-unit fuel, against battery cycle cost — as a directional range, every figure named to its tariff and dated rate. When a rate won't resolve, it says so rather than guessing.
Not: a bill, a financed quote, or investment advice. The battery cycle cost is always counted, so an upside-only number is impossible.
Electrify in stages (25% → 50% → 100%) and see which grid upgrade — cost and lead-time — lands at which stage.
Not: a recommended schedule. It's your phasing against sourced ranges, never a quote.
The scenario and configuration outputs reframed as a distribution of outcomes and a size-and-mix decision space — the trade-offs laid out, not a single answer.
Not: an auto-pick or optimizer. It presents the spread and the options; the call stays yours.
Re-runs the worst day with chargers removed to show which buses get stranded and how much service you lose. Plus a backup-duration screen: how long your parked fleet + battery carry a critical load through an outage.
Not: a live control system. A capacity-level, read-only resilience check — it only ever surfaces more risk, never less.
As batteries age, usable capacity fades. Sweeps your fleet across its service life and marks the year each bus crosses from likely → borderline → hard.
Not: a recommended replacement year. A directional, typical-day pre-screen — run the worst-day verdict for the hard number.
Set the assumptions yourself — energy per shift, battery basis, utility rates, derates — and sweep them to see what actually moves the verdict. The model is yours to interrogate, not a black box you take on faith.
Not: a fixed set of vendor defaults. Every input is visible, editable, and traceable.
A print-ready, defensible summary of what the depot needs and why — the modeled day, demand-charge exposure, the financial memo, and an assumption ledger where every figure traces to its source. Built to justify a service-capacity review with your utility and a licensed engineer.
Not: a stamped engineering study or a financial offer.
Once a site is operating, log observed periods and see how reality tracked the modeled day — drift and longitudinal trend.
Not: live or operational control.
Roll individual depots up into a fleet-wide view with multi-year phasing — one picture of the whole transition to plan and defend across sites.
Not: a substitute for the per-depot model; it aggregates the same directional, capacity-level runs.
The pilot mode runs alongside the frozen feasibility engine — it never edits it, and a stripped-back pilot run must agree with the worst-day verdict. Same referee, longer horizon.
Not: a second opinion that can quietly disagree with the screen. The two are reconciled by construction.
Honest scope
It's a capacity-level, directional model. The feasibility screen models a single worst-plausible day; the operating-week view simulates a multi-day representative week — both directional, sharp enough to decide service upgrades, BESS sizing, and charger counts. It is not a billing-grade, stamped, or "optimal" plan. The financials — 20-year TCO, NPV, payback — are directional, named-assumption estimates you can re-run with your own inputs, not a guaranteed bill or investment advice. A BEV Ready engineer builds and validates it with you, then hands you the keys — you keep a living model that gets more accurate the longer it's used. It feeds your engineer, utility, and board; it doesn't replace the licensed PE who stamps the design.
Run a directional screen of your depot in minutes — energy demand, peak load, the service tier you'll likely need, and a rough cost — then start the engineer-led twin with our team.