RV Energy Intelligence — Elevatics AI

State of Charge

kWh remaining

37.2

0 kWh87%45.0 kWh

⏱ 3d 7h remaining

Real-time Power

solar generation

0.119 kW

Load0.96 kW

Net -0.841 kW

Stability Score (0 – 10)

0.82

Autonomy / 3.5

0.45

Solar / 3.0

0.0

Safety / 2.0

0.76

Reserve / 1.5

⚠ Grade F — System cannot sustain itself.
Connect shore power or shed load immediately.

Off-Grid Autonomy

days remaining

3.3

2.0

SOLAR kWh

13.37

LOAD kWh

15.0%

COVERED

Battery Analytics

Temp capacity factor100%

Min SOC (@ 23:00)60.4%

Peak load5.45 kW

Net battery draw11.37 kWh

Ambient temperature22.0°C

🌡

—°C

Temperature

☁️

—%

Cloud Cover

💨

— km/h

Wind Speed

☀️

—×

Irr. Factor

📍

Locating…

Real-time weather

0.119

Solar now

0.96

Load now

net kW

-0.841

Drawing

/ 10

2.02

Stability Score

24-Hour Power Profile

Solar

Load

Battery SOC Prediction (24h)

Net Power Balance · Solar − Load

System Alerts

3 high-power loads simultaneous — surge risk

Stability Score 2.02/10 (Grade F) — immediate action required

Optimization Recommendations

+0.4 kWhSchedule high-draw loads 10am–2pm (peak solar)

+3.0 pts SIDouble solar panel capacity to reach Grade A stability

Active Config

Scenarioexpected

Weathersunny

Occupants2

Experiencenormal

—

Daily load kWh

—

Critical loads

—

Active devices

—

Peak draw kW

Appliance Volt V Curr A PF Eff % Duty % Real W kWh/day Status Actions

13.37

Load kWh/day

2.0

Solar kWh

11.37

Battery draw

3.3

Days off-grid

2.02

Stability / 10

15.0%

Solar coverage

24-Hour Power Profile

Solar

Load

Battery SOC Curve

What-If Simulator

Solar intensity100%

Load factor100%

Appliance Breakdown (Top 8)

Appliance	Eff W	kWh/d	Share
🚿 Water heater (main)	3093	2.32	17.4%
🛰️ Starlink	64	1.538	11.5%
🌀 Fan(s)	81	1.298	9.7%
❄️ Refrigerator	168	1.006	7.5%
💡 LED lights	206	0.929	7.0%
📷 Security cameras	31	0.737	5.5%
📺 TV	135	0.538	4.0%
📶 WiFi router	16	0.382	2.9%

📖 How RV Energy Intelligence Works

Every number you see on the dashboard is calculated from first principles — electrical engineering, battery chemistry, and solar physics. This page explains every formula, every constant, and what each score means for your trip.

⚡ Stability Score — 0 to 10

A single composite number that answers "How healthy is my energy system right now?" Higher is always better. 0 = system failure. 10 = fully self-sufficient off-grid paradise.

Stability Score = Pillar₁ + Pillar₂ + Pillar₃ + Pillar₄ Where: Pillar₁ Energy Autonomy 0 – 3.5 pts weight 35% Pillar₂ Solar Self-Sufficiency 0 – 3.0 pts weight 30% Pillar₃ Peak Safety Margin 0 – 2.0 pts weight 20% Pillar₄ Battery Reserve Floor 0 – 1.5 pts weight 15% ───────────────────────────────────────────────────────── Total 0 – 10.0 pts

[P1] Energy Autonomy — max 3.5 pts

Question: How many days can you survive without any external power?

P1 = min(3.5, (days_off_grid / 14) × 3.5)

The reference benchmark is 14 days — the gold standard for serious boondocking (e.g. BLM land in the American Southwest). At 14 days you earn the full 3.5 points. At 7 days you earn 1.75. At 2 days you earn 0.5.

days_off_grid = (start_SOC × usable_capacity) / net_battery_draw_kWh_per_day

[P2] Solar Self-Sufficiency — max 3.0 pts

Question: Is the sun covering your daily energy needs?

P2 = min(3.0, solar_coverage_ratio × 3.0)
solar_coverage_ratio = total_solar_kWh / total_load_kWh (capped at 1.0)

100% solar means zero net battery drain — you're living completely off the panels. At 60% you earn 1.8 pts. At 20% you earn 0.6 pts (all energy from battery). Real-time cloud cover from Open-Meteo reduces this score by shrinking the irradiance factor.

[P3] Peak Safety Margin — max 2.0 pts

Question: Am I about to trip my inverter?

P3 = min(2.0, max(0, (1 − peak_kW / 5.0)) × 2.0)

The reference inverter limit is 5 kW (typical RV pure-sine inverter). If your peak simultaneous load approaches or exceeds 5 kW, you risk circuit trips, inverter shutdown, or blown fuses. At 0 kW peak (idle) you earn 2.0 pts. At 2.5 kW (50% load) you earn 1.0 pts. At 5 kW or above you earn 0 pts — you're in the danger zone. Running stove + AC + water heater simultaneously is a common cause of P3=0.

[P4] Battery Reserve Floor — max 1.5 pts

Question: Does the battery stay above the safe minimum all day?

P4 = min(1.5, max(0, (min_SOC% − 20%) / 80%) × 1.5)

For LiFePO4 chemistry, discharging below 20% SOC causes irreversible cell damage and premature aging. P4 measures how far above that floor the daily minimum SOC stays. If the battery never drops below 60%, P4 = min(1.5, 40/80 × 1.5) = 0.75 pts. If it hits exactly 20%, P4 = 0. If it goes below 20%, P4 = 0 and an alert fires. The simulation tracks SOC at every 30-second step to find the true minimum.

⚠ GRADE F — What does it mean?

Grade F (Score < 5.0) means the system cannot sustain itself. At least one catastrophic condition exists:

1. Imminent battery depletion — days_off_grid < ~2.4 → P1 < 0.6 pts
The battery will be exhausted in < 2 days. Immediate shore power or load shed required.

2. Solar blackout — coverage < ~33% → P2 < 1.0 pt
Panels generate less than a third of demand. Happens in multi-day overcast, insufficient capacity, or shading.

3. Inverter overload — peak_kW > ~2.5 kW → P3 < 1.0 pt
Multiple large loads running simultaneously push close to or past the inverter limit.

4. Reserve violation — min_SOC < ~53% → P4 < 0.49 pts
The battery dips below a safe daily low, compressing long-term battery life.

A combined F (multiple pillars near zero) is the most dangerous scenario. Example: 2 kWh/day solar against 13 kWh/day load with AC + water heater running simultaneously scores approximately 2.0 / 10 — a deep F that demands immediate intervention.

🔌 Electrical Model — How Appliance Power is Calculated

Every appliance draws power through a three-stage chain: apparent → real → effective (battery load). Each stage has a real-world loss.

Stage 1 — Apparent power (what flows through the wire) apparent_VA = voltage_V × current_A Stage 2 — Real power (actual work done, after reactive losses) real_W = apparent_VA × power_factor Stage 3 — Effective power (what the battery must supply, after inverter/device losses) effective_W = real_W / (efficiency_pct / 100) Stage 4 — Daily energy (accounting for duty cycle and active hours) daily_kWh = (effective_W / 1000) × (duty_cycle_pct / 100) × hrs_per_day

voltage_V

Supply voltage in volts. Common RV values: 12V (DC accessories), 48V (Starlink), 120V (standard AC), 240V (large appliances). Higher voltage means lower current for the same power — critical for wire sizing.

current_A

Rated current draw in amperes. This is the nameplate value from the appliance label. Together with voltage, it defines apparent power: VA = V × A.

power_factor

Ratio of real power to apparent power (cos φ). Resistive loads like heaters and incandescents have PF=1.0. Motor loads (AC, washer) have PF=0.85–0.95. Switching power supplies (laptops, LED drivers) have PF=0.90–0.97. A low PF means more current flows than does real work — wasteful and hard on wiring.

efficiency_pct

Combined efficiency of the inverter and the device itself. A 90% efficient device wastes 10% as heat. Your inverter adds another 5–15% loss. Example: an 1100W coffee maker at 88% efficiency actually draws 1250W from the battery. This is what's simulated as "battery load".

duty_cycle_pct

The fraction of time the heating element or motor is actually ON within its active window. A refrigerator compressor runs ~25% of the time (cycles). An AC on "eco" mode might run 70%. A dryer drum motor runs ~100% during its cycle. Setting this accurately prevents over-estimating energy use for cycling appliances.

hrs_per_day

The total daily window during which the appliance can be active. Combined with the duty cycle, it defines the total energy consumed. A refrigerator runs 24h/day but only at 25% duty = 6 equivalent full-power hours. An AC runs 6h/day at 70% duty = 4.2 equivalent full-power hours.

☀️ Solar Generation Engine

Solar power follows a sine-arch curve during daylight hours. The engine scales this curve so its integral exactly matches your target daily kWh, then applies real-time weather corrections.

1. Irradiance shape (normalised 0–1) solar_curve(h) = sin(π × (h − 6) / 14) for 6 ≤ h ≤ 20, else 0 2. Normalisation integral (area under the curve, in kWh-hours) integral = Σ solar_curve(step × DT_H) × DT_H over 2880 steps 3. Target daily generation sol_target = panel_kWh × weather_factor × irradiance_factor × scenario_factor 4. Per-step solar power solar_kW(step) = sol_target × solar_curve(h) / integral

Weather factors: Sunny=1.00, Partly cloudy=0.60, Overcast=0.25, Rainy=0.05

Real-time irradiance factor (from Open-Meteo):
irr_factor = 1 − (cloud_cover% / 100) × 0.92 + 0.05
This means: at 0% cloud cover → 1.05× (slight atmospheric boost), at 50% cloud → 0.59×, at 100% cloud → 0.13×.

Why sine arch? Real solar irradiance follows a smooth bell curve through the day, peaking near solar noon. The sine function is an excellent approximation for mid-latitude locations between 25°N and 55°N where most RVs travel.

🔋 Battery Model — LiFePO4

The simulation models a LiFePO4 (lithium iron phosphate) battery bank with temperature derating, a usable capacity floor, and step-by-step energy accounting.

Usable capacity after temperature derating temp_factor: <0°C→0.70 <10°C→0.85 <20°C→0.95 ≥20°C→1.00 max_kWh = battery_capacity × 0.95 × temp_factor Start state (initial charge) kwh₀ = min(start_SOC × battery_capacity × 0.95, max_kWh) Per-step integration (30-second steps, 2880/day) kwh_new = clamp(kwh_old + (solar_kW − load_kW) × DT_H, 0, max_kWh) SOC% = kwh_new / max_kWh × 100 Autonomy (days off-grid at current draw rate) net_draw_kWh = max(0, total_load_kWh − total_solar_kWh) days_off_grid = (start_SOC × usable_kWh) / net_draw_kWh

0.95 usable fraction: LiFePO4 chemistry is safe from 5% to 100% SOC. We leave 2.5% headroom top and bottom, giving 95% usable capacity. Never discharge to 0% — this can permanently kill cells.

Temperature derating: Cold reduces lithium-ion intercalation speed. At −10°C a LiFePO4 pack may deliver only 60–70% of rated capacity. The model applies a conservative step function. Actual derating depends on cell chemistry and internal heating.

2880 steps per day: One step every 30 seconds gives sub-minute resolution for catching short surge events (microwave burst, water heater cycle) that hourly models would miss.

🕐 Load Schedules — 9 Shape Types

Each appliance is assigned a schedule that controls when during the day it runs. The simulation evaluates the schedule function at every 30-second step to determine the duty multiplier (0–1 or higher for cycling loads).

Schedule	Duty multiplier	Use case
24h	1.0 always	Routers, Starlink, cameras, HMI tablets — never off
cycle	3.5 × for 22 of 90 steps (≈24%); 0.06 standby	Refrigerator compressor cycling. The 3.5× spike models the compressor's high-draw on-phase vs low-draw fan standby.
meal	1.0 at 07:15, 12:30, 18:30 (8-min window each)	Electric stove, toaster, waffle maker — three mealtime bursts per day
burst	1.0 for 10 steps (~5 min) every 2.5 hours	Water heater (tank maintains temperature), garbage disposer
morning	0.6 from 06:00–09:00, else 0	Coffee machine, morning routine appliances
evening	0.92 from 18:00–23:00, else 0	TV, music system, evening entertainment
lights	0.9 from 18:00–23:00; 0.08 daytime	LED lights — on most of the evening, dim daytime pilot
day	0.70 × occupancy_factor (10:00–20:00); 0.08 idle	Air conditioner — runs when people are active during the day. Scales with number of occupants.
once	1.0 for a single block starting 03:00	Washer, dryer, air fryer — one full run per day. Duration = hrs × 120 steps.

Occupancy scaling (used in 'day' schedule) occupancy_factor = 0.7 + (occupants / 12) × 0.3 2 occupants → 0.75× 4 → 0.80× 8 → 0.90×

🌤 Real-Time Weather Integration

When you grant location access, the app fetches live meteorological data and feeds it into the simulation in real time. No API key required.

Data source: Open-Meteo API — free, open-source, no authentication required.

Variables fetched:
• temperature_2m (°C) → feeds LiFePO4 temperature derating model
• cloud_cover (%) → converted to irradiance_factor for solar engine
• weather_code (WMO) → mapped to weather category for alerts
• wind_speed_10m (km/h) → displayed, future: panel cooling model

Irradiance factor derivation:

irr_factor = 1.0 − (cloud_cover_pct / 100) × 0.92 + 0.05 Range: cloud_cover=0% → irr_factor ≈ 1.05 (clear sky, slight atmospheric boost) cloud_cover=50% → irr_factor ≈ 0.59 (partly cloudy) cloud_cover=80% → irr_factor ≈ 0.31 (overcast) cloud_cover=100% → irr_factor ≈ 0.13 (full overcast)

Location lookup: Reverse geocoding via OpenStreetMap Nominatim gives your city name for display.

Refresh interval: Weather data refreshes automatically every 10 minutes while the app is open.

Privacy: Coordinates are sent only to Open-Meteo and Nominatim servers. No data is stored or logged by this application.

🏅 Grade Reference Chart

Stability Score grades are analogous to academic grades — they give you an instant read on system health without needing to interpret the raw number.

Grade	Score Range	Label	Typical Conditions	Action Required
S	9.0 – 10.0	Exceptional	14+ days autonomy, 100% solar, peak <1kW, battery never below 80%	None. You're off-grid gold standard.
A	8.0 – 8.9	Excellent	10+ days, solar covers 80%+, safe peak margin, min SOC >75%	None. Minor optimisations available.
B	7.0 – 7.9	Good	7–10 days, solar covers 60–80%, moderate peak, min SOC >55%	Consider scheduling high-draw loads during peak solar.
C	6.0 – 6.9	Fair	4–7 days, solar covers 40–60%, moderate peak, min SOC >40%	Shift high-load usage, watch forecast. Shore up if rainy days ahead.
D	5.0 – 5.9	Poor	2–4 days, solar covers <40%, elevated peak, min SOC dropping	Shed non-essential loads. Plan for shore power within 3 days.
F	0.0 – 4.9	CRITICAL	Battery depleting fast. Solar covering <30%. Inverter overload risk. Reserve violation.	Immediate action required. Connect shore power. Disable dryer, AC, water heater.

Why the default config often shows Grade F

The default configuration ships with only 2 kWh/day of solar panels — a small 400W setup. Against a typical RV load of 12–14 kWh/day, solar coverage is only ~15%. This is realistic for many RVers who haven't yet invested in large solar arrays. Try increasing "Panel output" in Settings to 6–8 kWh/day (1.2–1.6 kW of panels) to see the score jump to Grade B or above.

Occupancy & Experience

Occupants

Scales AC, water, lighting load

−

Experience

Expert=15% efficient, New=20% wasteful

Battery capacity

45.0 kWh LiFePO4

−

Solar & Weather Override

☀️

Sunny

100%

⛅

Partly

60%

🌥

Overcast

25%

🌧

Rainy

Panel output2.0 kWh/day

Starting SOC87%

Quick Persona

🧑

Solo Traveler

Minimal load, max range

👨‍👩‍👧

Family Trip

High load, all appliances

💻

Remote Worker

Electronics priority

🏡

Full-Time Living

All systems active