MANUEL
Published © GPL3+

WOLF‑ARC: arquitectura industrial integrada (energía LiFePO₄

Arquitectura industrial integrada con energía LiFePO₄, cable híbrido y cómputo resiliente validada con 1M microciclos y pruebas extremas.

AdvancedWork in progress19 hours47
WOLF‑ARC: arquitectura industrial integrada (energía LiFePO₄

Things used in this project

Hardware components

Battery
51.2 V LiFePO₄ pack used in WolfEnergy subsystem.
×1
Bms Industrial
Custom industrial BMS with precharge, contactor, UV/OV, OT/UT, IR high, thermal derating.
×1
Cable/Connectivity Custom
Hybrid power + Cat6A cable with 360° shielding and thermal sensors.
×1
Microcontroller custom
×1
Sensors
Thermal sensors (NTC/PT100/PT1000)
×1

Story

Read more

Schematics

Wolf-Arc Complete_system_architecture

This upload contains the full WOLF‑ARC architecture diagram, showing the interaction between Wolf‑ARC B, Wolf‑ARC P, and Wolf‑ARC C (Compute + Master).
The diagram reflects the real system topology, the power and data paths, and the separation between critical compute and the user interface node.
All content has been filtered for public release and does not include confidential or internal parameters.

Wolf-Are Data Flow Architecture

The WOLF‑ARC Data & Control Flow Diagram illustrates how information, commands, telemetry, and power move across the three core system elements: Wolf‑ARC B, Wolf‑ARC P, and Wolf‑ARC C (Compute Module + Master Node).

The diagram shows:

1. Upstream Power Flow (Wolf‑ARC B → Wolf‑ARC C)
Wolf‑ARC B supplies regulated DC power through the hybrid Wolf‑ARC P cable.

Power lines (V+ / V–) are represented with red arrows.

The Compute Module receives and conditions this power for internal electronics and thermal management.

2. Downstream Control Flow (Wolf‑ARC C → Wolf‑ARC B)
The Compute Module sends control signals such as I_ALLOW, precharge commands, and fault‑handling instructions back to Wolf‑ARC B.

These control paths are shown with blue arrows.

3. Bidirectional Data Flow (Wolf‑ARC B ↔ Wolf‑ARC C)
Telemetry (voltages, temperatures, current, status flags) travels from Wolf‑ARC B to the Compute Module.

Diagnostic commands and configuration messages travel in the opposite direction.

All data flows use the Ethernet‑grade differential pair inside Wolf‑ARC P and are shown with green arrows.

4. Internal Data Flow Inside Wolf‑ARC C
The Compute Module processes safety logic, state machine transitions, derating, and black‑box logging.

The Master Node handles user interfaces (USB, HDMI, Ethernet, WiFi, BT) and exposes the client API.

Both modules communicate exclusively through Wolf‑ARC P, not through an internal bus.

5. Client Interaction Flow
External clients interact only with the Master Node.

Commands, API calls, and UI interactions flow from the Master Node to the Compute Module.

Processed telemetry and system status flow back to the Master Node for visualization or export.

6. Safety & Fault Flow
Faults detected in Wolf‑ARC B propagate to the Compute Module.

The Compute Module evaluates severity and sends back derating or shutdown commands.

Critical events are logged in the encrypted black‑box.

Wolf-Arc Safety & isolation architecture

Uploading the WOLF‑ARC Safety & Isolation Architecture diagram.
This diagram illustrates the separation between the high‑energy power domain (Wolf‑ARC B), the isolated hybrid link (Wolf‑ARC P), the safety‑critical compute domain (Compute Module), and the user‑facing domain (Master Node).
It highlights electrical isolation, logical isolation, EMC shielding, and controlled data and control paths across the system.
All information included is public, safe, and does not expose any confidential or proprietary internal details.

Wolf-Arc Telemetry Black Box

Uploading the WOLF‑ARC Telemetry & Black‑Box Architecture diagram.
This diagram shows how sensor data, safety events, and operational metrics originate in Wolf‑ARC B, travel through the hybrid Wolf‑ARC P link, and are processed inside the safety‑critical Compute Module.
It also illustrates how events are stored in the encrypted black‑box and how telemetry is safely exposed to the user through the Master Node.
All information included is public, safe, and does not reveal any confidential or proprietary internal details.

Code

mc_all_summary.csv

Python
test_type,k_value,mean,median,std,p10,p90,min,max,n_sim
test_type,k_value,mean,median,std,p10,p90,min,max,n_sim
thermal,1.0,289.252,289.0,1.7676243944910919,287.0,291.0,285,294,500
thermal_cycles,1.0,338.12,338.0,4.801416457671632,331.0,344.1,324,352,500
vibration,0.5,298.48,299.0,2.3327237298917334,295.0,301.0,291,304,500
vibration,0.75,297.534,298.0,2.140290634470001,295.0,300.0,291,304,500
vibration,1.0,296.15,296.0,2.2599778759979046,293.0,299.0,289,302,500
vibration,1.25,295.162,295.0,2.1456365022994923,292.0,298.0,288,302,500
vibration,1.5,293.964,294.0,2.2931864294034185,291.0,297.0,287,300,500
vibration,1.75,292.918,293.0,2.1249178807662195,290.0,295.0,287,299,500
vibration,2.0,291.91,292.0,2.3233381157291766,289.0,295.0,284,298,500
hits,0.5,281.112,281.0,2.704709965966776,277.0,284.0,275,288,500
hits,0.75,272.882,273.0,3.5502219648917728,268.0,277.0,262,283,500
hits,1.0,263.764,264.0,4.360768739568748,258.0,269.0,250,275,500
hits,1.25,256.81,257.0,4.870513319969467,250.0,263.0,242,271,500
hits,1.5,248.63,249.0,5.886008834515967,241.0,256.0,234,266,500
hits,1.75,241.49,241.0,6.662274386423903,233.0,250.10000000000002,223,261,500
hits,2.0,234.756,235.0,7.066007642226266,226.0,244.0,211,256,500
rain,0.5,283.602,284.0,1.902523587238802,281.0,286.0,278,289,500
rain,0.75,272.718,273.0,2.2765052163348978,270.0,276.0,264,279,500
rain,1.0,262.55,263.0,2.7596195389944604,259.0,266.0,254,271,500
rain,1.25,252.54,253.0,3.3251165393110655,248.0,257.0,241,261,500
rain,1.5,243.708,244.0,3.552848997635559,239.0,248.0,233,255,500
rain,1.75,234.258,234.0,4.0139053302239205,229.0,239.0,221,245,500
rain,2.0,226.426,226.0,4.385490166446619,221.0,232.0,214,242,500
battery,0.5,296.232,296.0,2.17029398930191,293.0,299.0,290,302,500
battery,0.75,296.438,297.0,2.2338657076914896,293.0,299.0,290,302,500
battery,1.0,296.252,296.0,2.2073730994102467,294.0,299.0,288,303,500
battery,1.25,296.104,296.0,2.2612350607577265,293.0,299.0,289,302,500
battery,1.5,296.116,296.0,2.164842719460238,293.0,299.0,289,302,500
battery,1.75,296.29,296.0,2.290392979381486,293.0,299.0,290,302,500
battery,2.0,296.288,296.0,2.2496790882256965,293.0,299.0,288,304,500

mc_vibration_raw.csv

Python
sim_id,critical_day,scenario,test_type,k_value
sim_id,critical_day,scenario,test_type,k_value
0,290,tank,vibration,2.0
1,291,tank,vibration,2.0
2,288,tank,vibration,2.0
3,292,tank,vibration,2.0
4,290,tank,vibration,2.0
5,292,tank,vibration,2.0
6,292,tank,vibration,2.0
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260,293,tank,vibration,2.0
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264,293,tank,vibration,2.0
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266,292,tank,vibration,2.0
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271,292,tank,vibration,2.0
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273,291,tank,vibration,2.0
274,293,tank,vibration,2.0
275,294,tank,vibration,2.0
276,295,tank,vibration,2.0
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278,289,tank,vibration,2.0
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280,291,tank,vibration,2.0
281,295,tank,vibration,2.0
282,294,tank,vibration,2.0
283,287,tank,vibration,2.0
284,295,tank,vibration,2.0
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286,293,tank,vibration,2.0
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290,292,tank,vibration,2.0
291,290,tank,vibration,2.0
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294,288,tank,vibration,2.0
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344,293,tank,vibration,2.0
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347,291,tank,vibration,2.0
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351,288,tank,vibration,2.0
352,293,tank,vibration,2.0
353,288,tank,vibration,2.0
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355,293,tank,vibration,2.0
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357,289,tank,vibration,2.0
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382,293,tank,vibration,2.0
383,291,tank,vibration,2.0
384,296,tank,vibration,2.0
385,296,tank,vibration,2.0
386,289,tank,vibration,2.0
387,292,tank,vibration,2.0
388,291,tank,vibration,2.0
389,294,tank,vibration,2.0
390,289,tank,vibration,2.0
391,293,tank,vibration,2.0
392,296,tank,vibration,2.0
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405,292,tank,vibration,2.0
406,288,tank,vibration,2.0
407,292,tank,vibration,2.0
408,291,tank,vibration,2.0
409,297,tank,vibration,2.0
410,293,tank,vibration,2.0
411,296,tank,vibration,2.0
412,292,tank,vibration,2.0
413,288,tank,vibration,2.0
414,296,tank,vibration,2.0
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416,291,tank,vibration,2.0
417,288,tank,vibration,2.0
418,288,tank,vibration,2.0
419,292,tank,vibration,2.0
420,293,tank,vibration,2.0
421,287,tank,vibration,2.0
422,292,tank,vibration,2.0
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424,293,tank,vibration,2.0
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435,291,tank,vibration,2.0
436,290,tank,vibration,2.0
437,291,tank,vibration,2.0
438,295,tank,vibration,2.0
439,289,tank,vibration,2.0
440,288,tank,vibration,2.0
441,292,tank,vibration,2.0
442,293,tank,vibration,2.0
443,297,tank,vibration,2.0
444,298,tank,vibration,2.0
445,289,tank,vibration,2.0
446,294,tank,vibration,2.0
447,291,tank,vibration,2.0
448,292,tank,vibration,2.0
449,294,tank,vibration,2.0
450,291,tank,vibration,2.0
451,292,tank,vibration,2.0
452,291,tank,vibration,2.0
453,290,tank,vibration,2.0
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455,291,tank,vibration,2.0
456,290,tank,vibration,2.0
457,294,tank,vibration,2.0
458,292,tank,vibration,2.0
459,290,tank,vibration,2.0
460,294,tank,vibration,2.0
461,292,tank,vibration,2.0
462,288,tank,vibration,2.0
463,293,tank,vibration,2.0
464,294,tank,vibration,2.0
465,291,tank,vibration,2.0
466,294,tank,vibration,2.0
467,295,tank,vibration,2.0
468,289,tank,vibration,2.0
469,285,tank,vibration,2.0
470,292,tank,vibration,2.0
471,293,tank,vibration,2.0
472,292,tank,vibration,2.0
473,292,tank,vibration,2.0
474,295,tank,vibration,2.0
475,293,tank,vibration,2.0
476,291,tank,vibration,2.0
477,293,tank,vibration,2.0
478,288,tank,vibration,2.0
479,289,tank,vibration,2.0
480,290,tank,vibration,2.0
481,294,tank,vibration,2.0
482,296,tank,vibration,2.0
483,290,tank,vibration,2.0
484,289,tank,vibration,2.0
485,293,tank,vibration,2.0
486,298,tank,vibration,2.0
487,293,tank,vibration,2.0
488,295,tank,vibration,2.0
489,293,tank,vibration,2.0
490,291,tank,vibration,2.0
491,290,tank,vibration,2.0
492,293,tank,vibration,2.0
493,289,tank,vibration,2.0
494,293,tank,vibration,2.0
495,296,tank,vibration,2.0
496,294,tank,vibration,2.0
497,295,tank,vibration,2.0
498,288,tank,vibration,2.0
499,291,tank,vibration,2.0

mc_vibration_summary.csv

Python
test_type,k_value,mean,median,std,p10,p90,min,max,n_sim
test_type,k_value,mean,median,std,p10,p90,min,max,n_sim
vibration,2.0,291.91,292.0,2.3233381157291766,289.0,295.0,284,298,500

mc_battery_raw.csv

Python
sim_id,critical_day,scenario,test_type,k_value
sim_id,critical_day,scenario,test_type,k_value
0,296,tank,battery,2.0
1,294,tank,battery,2.0
2,299,tank,battery,2.0
3,295,tank,battery,2.0
4,292,tank,battery,2.0
5,293,tank,battery,2.0
6,296,tank,battery,2.0
7,301,tank,battery,2.0
8,298,tank,battery,2.0
9,294,tank,battery,2.0
10,295,tank,battery,2.0
11,296,tank,battery,2.0
12,295,tank,battery,2.0
13,299,tank,battery,2.0
14,300,tank,battery,2.0
15,298,tank,battery,2.0
16,299,tank,battery,2.0
17,297,tank,battery,2.0
18,290,tank,battery,2.0
19,297,tank,battery,2.0
20,294,tank,battery,2.0
21,295,tank,battery,2.0
22,299,tank,battery,2.0
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26,297,tank,battery,2.0
27,294,tank,battery,2.0
28,294,tank,battery,2.0
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30,297,tank,battery,2.0
31,296,tank,battery,2.0
32,292,tank,battery,2.0
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36,299,tank,battery,2.0
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78,300,tank,battery,2.0
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187,297,tank,battery,2.0
188,297,tank,battery,2.0
189,298,tank,battery,2.0
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192,288,tank,battery,2.0
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202,300,tank,battery,2.0
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240,295,tank,battery,2.0
241,296,tank,battery,2.0
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275,294,tank,battery,2.0
276,297,tank,battery,2.0
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286,300,tank,battery,2.0
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290,299,tank,battery,2.0
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293,296,tank,battery,2.0
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416,297,tank,battery,2.0
417,299,tank,battery,2.0
418,297,tank,battery,2.0
419,298,tank,battery,2.0
420,294,tank,battery,2.0
421,295,tank,battery,2.0
422,290,tank,battery,2.0
423,297,tank,battery,2.0
424,297,tank,battery,2.0
425,296,tank,battery,2.0
426,301,tank,battery,2.0
427,295,tank,battery,2.0
428,296,tank,battery,2.0
429,295,tank,battery,2.0
430,295,tank,battery,2.0
431,300,tank,battery,2.0
432,300,tank,battery,2.0
433,294,tank,battery,2.0
434,296,tank,battery,2.0
435,295,tank,battery,2.0
436,296,tank,battery,2.0
437,295,tank,battery,2.0
438,295,tank,battery,2.0
439,296,tank,battery,2.0
440,297,tank,battery,2.0
441,296,tank,battery,2.0
442,299,tank,battery,2.0
443,298,tank,battery,2.0
444,296,tank,battery,2.0
445,294,tank,battery,2.0
446,297,tank,battery,2.0
447,294,tank,battery,2.0
448,297,tank,battery,2.0
449,298,tank,battery,2.0
450,295,tank,battery,2.0
451,297,tank,battery,2.0
452,294,tank,battery,2.0
453,292,tank,battery,2.0
454,298,tank,battery,2.0
455,300,tank,battery,2.0
456,297,tank,battery,2.0
457,298,tank,battery,2.0
458,296,tank,battery,2.0
459,299,tank,battery,2.0
460,298,tank,battery,2.0
461,294,tank,battery,2.0
462,297,tank,battery,2.0
463,301,tank,battery,2.0
464,293,tank,battery,2.0
465,296,tank,battery,2.0
466,294,tank,battery,2.0
467,294,tank,battery,2.0
468,297,tank,battery,2.0
469,292,tank,battery,2.0
470,304,tank,battery,2.0
471,302,tank,battery,2.0
472,296,tank,battery,2.0
473,299,tank,battery,2.0
474,295,tank,battery,2.0
475,297,tank,battery,2.0
476,294,tank,battery,2.0
477,298,tank,battery,2.0
478,297,tank,battery,2.0
479,299,tank,battery,2.0
480,294,tank,battery,2.0
481,293,tank,battery,2.0
482,295,tank,battery,2.0
483,295,tank,battery,2.0
484,298,tank,battery,2.0
485,300,tank,battery,2.0
486,294,tank,battery,2.0
487,293,tank,battery,2.0
488,299,tank,battery,2.0
489,295,tank,battery,2.0
490,294,tank,battery,2.0
491,296,tank,battery,2.0
492,295,tank,battery,2.0
493,297,tank,battery,2.0
494,296,tank,battery,2.0
495,295,tank,battery,2.0
496,297,tank,battery,2.0
497,299,tank,battery,2.0
498,299,tank,battery,2.0
499,297,tank,battery,2.0

mc_battery_summary.csv

Python
test_type,k_value,mean,median,std,p10,p90,min,max,n_sim
test_type,k_value,mean,median,std,p10,p90,min,max,n_sim
battery,2.0,296.288,296.0,2.2496790882256965,293.0,299.0,288,304,500

mc_hits_summary.csv

Python
sim_id,critical_day,scenario,test_type,k_value
test_type,k_value,mean,median,std,p10,p90,min,max,n_sim
hits,2.0,234.756,235.0,7.066007642226266,226.0,244.0,211,256,500

mc_rain_summary.csv

Python
test_type,k_value,mean,median,std,p10,p90,min,max,n_sim
test_type,k_value,mean,median,std,p10,p90,min,max,n_sim
rain,2.0,226.426,226.0,4.385490166446619,221.0,232.0,214,242,500

mc_thermal_cycles_raw.csv

Python
sim_id,critical_day,scenario,test_type,k_value
sim_id,critical_day,scenario,test_type,k_value
0,338,tank,thermal_cycles,1.0
1,331,tank,thermal_cycles,1.0
2,344,tank,thermal_cycles,1.0
3,339,tank,thermal_cycles,1.0
4,338,tank,thermal_cycles,1.0
5,344,tank,thermal_cycles,1.0
6,331,tank,thermal_cycles,1.0
7,345,tank,thermal_cycles,1.0
8,338,tank,thermal_cycles,1.0
9,337,tank,thermal_cycles,1.0
10,332,tank,thermal_cycles,1.0
11,338,tank,thermal_cycles,1.0
12,338,tank,thermal_cycles,1.0
13,337,tank,thermal_cycles,1.0
14,332,tank,thermal_cycles,1.0
15,338,tank,thermal_cycles,1.0
16,336,tank,thermal_cycles,1.0
17,337,tank,thermal_cycles,1.0
18,332,tank,thermal_cycles,1.0
19,338,tank,thermal_cycles,1.0
20,336,tank,thermal_cycles,1.0
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26,343,tank,thermal_cycles,1.0
27,338,tank,thermal_cycles,1.0
28,338,tank,thermal_cycles,1.0
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31,345,tank,thermal_cycles,1.0
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35,332,tank,thermal_cycles,1.0
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499,338,tank,thermal_cycles,1.0

mc_thermal_cycles_summary.csv

Python
test_type,k_value,mean,median,std,p10,p90,min,max,n_sim
test_type,k_value,mean,median,std,p10,p90,min,max,n_sim
thermal_cycles,1.0,338.12,338.0,4.801416457671632,331.0,344.1,324,352,500

mc_thermal_raw.csv

Python
sim_id,critical_day,scenario,test_type,k_value
sim_id,critical_day,scenario,test_type,k_value
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466,291,volcano,thermal,1.0
467,288,volcano,thermal,1.0
468,291,volcano,thermal,1.0
469,291,volcano,thermal,1.0
470,292,volcano,thermal,1.0
471,289,volcano,thermal,1.0
472,289,volcano,thermal,1.0
473,292,volcano,thermal,1.0
474,291,volcano,thermal,1.0
475,289,volcano,thermal,1.0
476,289,volcano,thermal,1.0
477,289,volcano,thermal,1.0
478,291,volcano,thermal,1.0
479,289,volcano,thermal,1.0
480,289,volcano,thermal,1.0
481,290,volcano,thermal,1.0
482,287,volcano,thermal,1.0
483,290,volcano,thermal,1.0
484,290,volcano,thermal,1.0
485,289,volcano,thermal,1.0
486,288,volcano,thermal,1.0
487,289,volcano,thermal,1.0
488,289,volcano,thermal,1.0
489,292,volcano,thermal,1.0
490,291,volcano,thermal,1.0
491,290,volcano,thermal,1.0
492,291,volcano,thermal,1.0
493,291,volcano,thermal,1.0
494,289,volcano,thermal,1.0
495,289,volcano,thermal,1.0
496,290,volcano,thermal,1.0
497,287,volcano,thermal,1.0
498,289,volcano,thermal,1.0
499,285,volcano,thermal,1.0

mc_thermal_summary.csv

Python
test_type,k_value,mean,median,std,p10,p90,min,max,n_sim
test_type,k_value,mean,median,std,p10,p90,min,max,n_sim
thermal,1.0,289.252,289.0,1.7676243944910919,287.0,291.0,285,294,500

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MANUEL
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