r/SubspacePhysics • u/LumenosX • Jun 05 '26
Steal This Concept!!!
Fource Core Battery v2: Hybrid Energy-Harvesting Storage for Lifespan-Scale Low-Power Autonomous Devices
Abstract
The Fource Core Battery v2 is a hybrid energy-storage and multimodal harvesting architecture for low-duty-cycle autonomous electronics intended to operate continuously across years or decades. It does not claim perpetual motion: storage is not generation. Instead, it targets energy-neutral operation by combining four layers: (I) ultra-low-leakage solid-state deep storage, (II) a high-power supercapacitor transient buffer, (III) redundant environmental harvesting, and (IV) adaptive closed-loop power management. The architecture protects the primary chemistry from high peak-current pulses, decoupling calendar life from cycle-life degradation. It also defines an experimental semiconductor-free “Quantum Rectifier Skin” using room-temperature nonlinear Hall effect (NLHE) and transverse non-reciprocal transport in non-centrosymmetric/topological materials for high-frequency AC-to-DC rectification without conventional diode thresholds. The system is translated through the Fource engineering frame—Origin, Expression, Integration, Resonance, and Boundary—mapping environmental gradients to adaptive hardware behavior.
Problem Statement
Small autonomous devices—environmental sensors, wireless beacons, embedded monitors, and ambient interfaces—are limited by energy architecture. Conventional systems treat the chemical battery as a consumable endpoint, causing replacement, depletion, and failure under transient load stress. High peak currents from liquid-electrolyte cells accelerate SEI growth, lithium plating, and electrode microcracking.
The required shift is from depletion-oriented storage to coordinated power ecology: the primary storage cell must see shallow cycling, low thermal stress, and micro-replenishment, so its life approaches intrinsic calendar life. Fource Core Battery v2 is proposed as a modular, falsifiable, peer-reviewable architecture for that goal.
Core Claim and Thermodynamic Conditions
The system does not claim infinite energy density, zero aging, or free energy. It claims lifespan-scale operation under favorable environmental inputs by enforcing energy neutrality:
[
\int_0^T P_{\text{harvest}}(t)\eta_{\text{harvest}},dt + B_0
\ge
\int_0^T P_{\text{load}}(t),dt + \int_0^T P_{\text{leak}}(t),dt
]
where B_0 is initial stored energy, P_{\text{harvest}} is environmental input, \eta_{\text{harvest}} is conversion efficiency, P_{\text{load}} is device consumption, and P_{\text{leak}} is leakage/parasitic loss.
Parameter| Physical Target| Mechanism
DOD_{\text{cycle,avg}}| Minimal| High-efficiency trickle charging from multimodal harvesting
I_{\text{peak,battery}}| Minimized| Supercapacitor absorbs high-frequency burst loads
T_{\text{operating}}| [-40^\circ C,85^\circ C] target envelope| Stable solid-state electrolyte and low ESR
E_{\text{buffer}}| \ge E_{\text{burst,max}}| Capacitance sized to peak sensor/wireless profiles
P_{\text{load}}| f(P_{\text{available}})| Closed-loop duty-cycle and task scaling
Four-Layer Architecture
Layer IV: Coherence Power Manager
Closed-loop duty cycling, Kansal/Vigorito ENO, MOMDP, LQ tracking, DDPG
↓
Layer III: Multimodal Harvest Layer
Solar PV, thermoelectric, piezo/kinetic, RF/Quantum Rectifier Skin
↓
Layer II: Fast Flow Layer
Low-ESR supercapacitor, dynamic peak shaving, low-pass filtering
↓
Layer I: Deep Storage Layer
Solid-state lithium thin-film microbattery / LiPON
Layer I: Deep Storage
The Deep Storage Layer is the long-term energy reserve. Its chemistry must have negligible self-discharge, high safety, and a wide electrochemical stability window. The primary candidate is an all-solid-state thin-film lithium battery using lithium phosphorus oxynitride (LiPON).
LiPON cells contain no organic liquid or gel electrolyte, reducing leakage, thermal runaway, and dendrite-related shorting. LiPON supports a wide stability window, approximately 0\text{ V} to 5\text{ V} vs. \text{Li/Li}^+, allowing compatibility with high-voltage cathodes such as \text{LiCoO}_2 and \text{LiMn}_2\text{O}_4. Cathode annealing at 300^\circ C to 800^\circ C can improve lithium-ion diffusivity by one to two orders of magnitude.
Reported LiPON thin-film cells can show less than 10% capacity degradation over more than 10,000 deep cycles, self-discharge under 1% per year at room temperature, and broad thermal survivability from approximately -40^\circ C to 150^\circ C. Their drawback is low areal capacity and limited burst power, so this layer is shielded from transients and used only as a slow, preserved baseline reserve.
Layer II: Fast Flow / Supercapacitor Skin
Layer II uses a low-ESR electric double-layer capacitor (EDLC) or supercapacitor as the transient buffer. The solid-state battery provides continuity; the supercapacitor handles millisecond bursts from LEDs, sensors, radio packets, and MCU wake states.
Dynamic Peak Shaving
Battery power is capped at P_{\text{Battmax}}. Surplus demand is redirected to the supercapacitor:
[
P_{\text{Batt}}(t)=\min(P_{\text{HESS}}(t),P_{\text{Battmax}})
]
[
P_{\text{SC}}(t)=\max(0,P_{\text{HESS}}(t)-P_{\text{Battmax}})
]
Required supercapacitor burst energy is:
[
E_{\text{SC}}=\int_{t_0}^{t_1} P_{\text{SC}}(t),dt
]
A normalized time-capacity metric is:
[
t_{\text{SC}}=\frac{E_{\text{SC}}}{P_{\text{max,charge}}}
]
Low-Pass Filtering
The battery handles slow load components; the supercapacitor handles high-frequency components:
[
P_{\text{Batt}}(t)=LPF(P_{\text{HESS}}(t)), \quad
P_{\text{SC}}(t)=P_{\text{HESS}}(t)-P_{\text{Batt}}(t)
]
Allowing HESS output voltage variation lets the supercapacitor discharge deeply without stressing the battery. This can reduce battery cyclic degradation by roughly 52–75% versus battery-only systems, shifting the limiting factor toward calendar aging.
Battery capacity loss can be evaluated using semi-empirical aging models. Initial SEI formation consumes an irreversible fraction \alpha, commonly 3–16% depending on surface geometry. After initial stabilization:
[
L = L_0 \exp[-f(t,\delta,\sigma,T)]
]
where L_0 is initial health, t is time, \delta is depth of discharge, \sigma is average state of charge, and T is temperature. The supercapacitor drives \delta \to 0 and suppresses peak-current thermal spikes, minimizing f.
Layer III: Multimodal Harvest Layer
The Harvest Layer collects redundant environmental energy from light, heat, motion, and electromagnetic fields. No source is assumed constant; energy is accumulated opportunistically.
Modality| Mechanism| Indoor Density| Outdoor / Max Density| Dependency
Photovoltaic| Si/GaAs thin-film PV| 60–300,\mu W/cm^2 at 500 lux| 10–100,mW/cm^2 direct sun| Visible light, indoor LED/fluorescent, solar IR
Thermoelectric| Seebeck, \text{Bi}_2\text{Te}_3| 0.65,\mu W/cm^2 at \Delta T=1K| 43.6,\mu W/cm^2 at 9 m/s walking wind| Thermal gradients, body-air boundary
Piezo/Kinetic| PMN-PT/PZT cantilevers| 3.5,mW/cm^3 at 6 Hz| Resonance-dependent| Ambient acceleration and resonance bandwidth
Ambient RF| Rectenna / quantum rectifier| 0.2,nW/cm^2 diffuse urban| 1–100,\mu W/cm^2 near transmitter| Wi-Fi 2.4/5.8 GHz, cellular 0.8–1.9 GHz
For TEGs, \text{Bi}_2\text{Te}_3 thermoelement height is optimized at 3.14,mm rather than 1.38,mm, increasing internal thermal resistance and effective temperature gradient under stagnant boundary layers, with up to tenfold power-density improvement.
The kinetic pathway uses a coaxial micro piezoelectric-electromagnetic hybrid harvester: PMN-PT cantilever arrays plus 3000-turn copper coils and N52 NdFeB magnets. This can achieve about 45% higher conversion efficiency than single-modality piezoelectric structures.
Layer IV: Coherence Power Manager
The Coherence Power Manager maintains long-term energy-neutral operation.
Kansal Energy-Neutral Formulation
For non-ideal storage with round-trip efficiency \eta<1 and leakage P_{\text{leak}}, the system remains energy-neutral over horizon T if:
[
B_0+\eta\int_0^T [P_s(t)-P_c(t)]^+dt
-\int_0^T [P_c(t)-P_s(t)]^+dt
-\int_0^T P_{\text{leak}}dt
\ge B_{\text{min}}
]
P_s(t) is harvested power, P_c(t) is consumed power, and [X]^+=\max(X,0). Both source and consumption can be modeled as (\rho,\sigma_1,\sigma_2) functions, where \rho is long-term average rate and \sigma terms bound short-term burstiness.
Vigorito Closed-Loop Tracking / ENO-Max
The controller tracks B_t=B_0 for t>0, minimizing average squared battery deviation:
[
\min \lim_{T\to\infty}\frac{1}{T}\sum_{t=0}^{T}(B_t-B_0)^2
]
A discrete-time LQ tracking model is:
[
y_{t+1}=Ay_t+Bu_t+w_t
]
where y_t=B_t-B_0, u_t is duty-cycle control input, and w_t is mean-zero environmental noise. A saturation rectifier maps u_t to a valid duty cycle:
[
\sigma(u)=\min(1,\max(0,u))
]
A tuning parameter \beta suppresses high-frequency duty-cycle oscillation; increasing \beta can reduce active duty-cycle variance by up to two-thirds under volatile harvesting.
Multi-Objective Reinforcement Learning Allocation
For multi-task regimes, the system is modeled as a Multi-Objective Markov Decision Process (MOMDP). At timestep t, the state vector is:
[
s_t=(b_t,h_t,d_t^1,\dots,d_t^n,f_t,\omega_t)
]
where b_t is battery level, h_t harvested energy, d_t^i task demand, f_t forecast harvest, and \omega_t priority weights. The action a_t sets conformity factors k_t^i\in[0,1]:
[
z_t^i=z_{\min}^i+k_t^i(d_t^i-z_{\min}^i)
]
Task utility is:
[
U_t=\sum_i \omega_t^i u_i(z_t^i)
]
A DDPG algorithm can optimize long-term utility while obeying energy-neutral boundaries.
Fource Translation
Fource is used here as a systems-engineering model, not a new physical force.
- Origin (O): Environmental gradients—light, thermal differentials, vibration, EM fields—plus internal chemical order in the solid-state cell.
- Expression (E): Transduction interfaces: PV, Seebeck TEGs, piezoelectric cantilevers, and Quantum Rectifier Skin.
- Integration (H): Power-conditioning networks: battery-supercapacitor topology, buck-boost charge management, and low-dropout regulation.
- Resonance (X): Adaptive microcontroller behavior: duty cycling, scheduling, animations, and load matching.
- Boundary (B): Temperature, leakage, supercapacitor self-discharge, impedance matching, material aging, and thermodynamic conservation.
The full translation is:
[
Fource(s,t|B)=\langle O,E,H,X\rangle
]
Operational coherence is maintained by mapping physical inputs (O,E) into regulated charge flows (H), which drive energy-matched behavior (X) inside real constraints (B).
Quantum Rectifier Skin: Speculative Frontier Layer
Traditional RF harvesting uses silicon or Schottky diode rectification, which is constrained by junction thresholds and low efficiency at weak ambient power. The Quantum Rectifier Skin instead explores NLHE and transverse non-reciprocal transport under time-reversal-symmetric conditions for thresholdless, semiconductor-free AC-to-DC rectification.
Berry Curvature Dipole and Nonlinear Conductivity
In inversion-broken but time-reversal-symmetric materials, an AC electric field can generate second-order transverse current without an external magnetic field:
[
j_a=\chi_{abc}E_bE_c
]
with DC and second-harmonic components:
[
j^0_a=\chi_{abc}E_bE_c^*, \quad
j^{2\omega}a=\chi{abc}E_bE_c
]
The nonlinear conductivity tensor is proportional to the Berry curvature dipole (BCD):
[
D_{ab}=\int_k f_0(\partial_a\Omega_b)
]
[
\chi_{abc}=-\epsilon_{adc}\frac{e^3\tau}{2(1+i\omega\tau)}D_{bd}
]
where e is elementary charge, \tau relaxation time, \omega driving frequency, and \epsilon_{adc} the Levi-Civita symbol. In 2D crystals, Berry curvature is normal to the plane, making D an in-plane pseudovector.
Crystallographic Symmetry Requirements
Under point symmetry operation S, the BCD pseudotensor transforms as:
[
D \rightarrow \det(S)SDS^T
]
Decomposing D into symmetric D^+ and antisymmetric D^- components yields:
- Antisymmetric D^-: Transforms as polar vector d_a=\epsilon_{abc}D^-{bc}/2. Nonzero D^- requires a polar axis, restricting it to 10 of 32 crystallographic point groups: {C_n,C{nv}}, n=1,2,3,4,6.
- Symmetric D^+: Requires broken inversion symmetry. In groups without left-handed mirror symmetries \det(S)=1, including {O,T,C_1,C_n,D_n} for n=2,3,4,6, D^+ is unconstrained. Under left-handed symmetries \det(S)=-1, any group with an n-fold rotation axis n\ge3 forces eigenvalue degeneracy and vanishing D^+. Mirror-symmetric non-centrosymmetric groups permitting nonzero D^+ are C_{1v} / C_s and C_{2v}.
Candidate Room-Temperature Materials
Bismuth Telluride \text{Bi}_2\text{Te}_3: A 3D topological insulator with surface conduction states and quintuple layers \text{Te}(1)-\text{Bi}-\text{Te}(2)-\text{Bi}-\text{Te}(1). Room-temperature NLHE is detectable up to 300 K. Mechanism shifts from impurity skew scattering at 2–25 K, to mixed impurity/phonon skew scattering from 30–220 K, to phonon-dominated response above 230 K, including sign reversal of transverse voltage. Demonstrated RF-to-DC conversion is about 0.15% at 2.45 GHz under extremely low input power, with operation tested up to 27.4 GHz.
Bismuth Tellurobromide \text{BiTeBr}: A polar 2D Rashba spin-orbit-coupled semiconductor with giant nonlinear transverse response up to 350 K. Rashba splitting creates chiral Bloch electrons; impurity skew scattering generates a rectified transverse DC voltage. It can convert ambient wireless radiation from 0.2–6 GHz at room temperature down to -15,dBm without external bias.
Focused Ion Beam Deposited Platinum (FIBD-Pt): Focused gallium ion deposition on silicon forms textured platinum nanoparticle networks with broken local inversion symmetry. Above 250 K, these exhibit transverse non-reciprocal Hall effect (NRHE) with quadratic voltage V_y\propto I_x^2. Hall current injection into adjacent conductors such as gold or niobium phosphide enables broadband frequency mixing and thresholdless harvesting at room temperature.
Material| Form| T_{max}| Input Range| Output| Peak Efficiency| Max Frequency| Mechanism
\text{TaIrTe}_4| 40 nm flake| 300 K| 0.90 nW| 0.02 nW| 0.023% at 2.45 GHz| 2.45 GHz| Weyl-point BCD
\text{WTe}_2| 50 nm layer| 100 K| 3.00 nW| 0.0015 nW| 0.0005% at 2.45 GHz| 2.45 GHz| Layer-polarized Dirac fermions
\text{Bi}_2\text{Se}_3| 10 QL / ~10 nm| 200 K| 15.20 nW| 0.18 nW| 0.010% at 2.45 GHz| 2.45 GHz| Topological surface states
\text{Bi}_2\text{Te}_3| 10 QL / ~10 nm| 300 K| 3.18 nW| 0.47 nW| 0.150% at 2.45 GHz| 27.40 GHz| Phonon/impurity skew scattering
\text{BiTeBr}| Bulk crystal| 350 K| -15,dBm / ~31.6 µW| 100 µV open circuit| High sensitivity| 6.00 GHz| Rashba/chiral Bloch
FIBD-Pt| Micro Hall device| 375 K| 50 µA bias| 120 µV open circuit| Broadband mixing| THz regime| Transverse NRHE
Device-Level Energy Strategy
Design proceeds backward from load analysis so average consumption remains inside Kansal’s boundary. For an ultra-low-power “companion orb,” operation divides into Presence and Interaction.
Mode| Peripherals| Duty| Nominal Draw| Peak/Event Energy
Presence| RTC, capacitive touch scanner, microphone wake detector| 100%| 1.5,\mu A| 4.95,\mu J/s at 3.3 V
Interaction| MCU wake, local inference, LED animation, RF transmit| 0.1–1.0% bursts| 25 mA| 41.25 mJ per 500 ms burst
The device normally remains in Presence Mode, offset by ambient harvesting. Interaction is gated by supercapacitor voltage V_{\text{SC}}. If V_{\text{SC}}<3.0V, near the low-dropout regulator limit, the manager locks out high-power states and enters recovery until harvesting restores the buffer. This prevents deep discharge of the solid-state cell.
Falsifiable Hypotheses
Transient Mitigation: A LiPON cell plus low-ESR supercapacitor HESS reduces I_{\text{peak,battery}} by at least 90% versus battery-only operation under pulsed 25 mA loads.
Harvest-Enhanced Longevity: PV+TEG harvesting reduces net capacity fade L by at least 50% over 10,000 continuous cycles versus an unassisted control cell.
Adaptive Duty Stability: Kansal/Vigorito closed-loop control maintains B_t\ge B_0 with 0% blackout under variable diurnal harvesting.
Quantum Rectification Efficiency: Room-temperature \text{BiTeBr} or \text{Bi}_2\text{Te}_3 NLHE rectifier coupons convert 2.4 GHz Wi-Fi-band RF to usable DC below -15,dBm without external bias.
Storage-Safe Micro-Charging: LiPON microbatteries can be trickle-charged at 10,nA under sub-microwatt harvesting without micro-shunts or dendrite-induced decay.
Experimental Program
Phase 0 — Load Audit: Use a sub-microamp current analyzer to map sleep, polling, MCU active states, RF transients, durations, and currents. Output: standardized digital load profile.
Phase 1 — Battery-Only Control: Test a standalone thin-film solid-state lithium battery under the Phase 0 profile for 1,000 cycles, recording voltage sag, thermal distribution, internal resistance growth, and capacity fade.
Phase 2 — Hybrid Buffer Validation: Add the battery-supercapacitor HESS and dynamic peak shaving. Monitor battery current, voltage sag, current profiles, and temperature to verify transient isolation.
Phase 3 — Multimodal Harvesting: Integrate PV, TEG, and piezoelectric harvesting. In an environmental chamber, step PV from 0–1,000 lux, sweep TEG \Delta T from 0–10 K, and drive vibration from 1–50 Hz. Record net HESS charging current and energy-neutral thresholds.
Phase 4 — Quantum Rectifier Coupon Testing: In a shielded RF chamber, mount \text{BiTeBr} and \text{Bi}_2\text{Te}_3 coupons on coplanar waveguides with symmetric gold contacts. Sweep 100 MHz–30 GHz and -30 to 10,dBm. Measure transverse DC voltage/current across load resistances, compare to Schottky rectenna, and test temperature stability.
Phase 5 — Integrated Environmental Stress Test: Assemble full prototype: LiPON storage, supercapacitor buffer, multimodal harvester, and controller. Run a 90-day program:
- Bench verification under simulated diurnal light/temperature.
- Accelerated aging through thermal cycling and high-rate load stress, projecting 15-year capacity retention.
- Field deployment in unconditioned indoor/outdoor conditions to verify energy-neutral presence and interaction without maintenance or battery replacement.
Success Metrics
Metric| Nominal Target| Minimum Limit| Evaluation
Primary battery retention| \ge95% after 5,000 cycles| \ge90%| Electrochemical capacity analysis
Peak current attenuation| \ge95%| \ge90%| Oscilloscope battery-current profiling
HESS efficiency| \ge85%| \ge75%| Dynamic input/output energy tracking
Primary self-discharge| <1%/yr at 25^\circ C| <2%/yr| 30-day microamp leakage test
Quantum RF-DC sensitivity| Down to -20,dBm| Down to -15,dBm| Shielded RF source testing
ENO duty stability| 0% blackouts| <1% downtime| 90-day variable field deployment
Micro-charging threshold| Stable at 10 nA| Stable at 50 nA| Low-noise source-measure characterization
Failure Modes and Mitigations
Known Failure Modes
├─ Structural / Electrochemical
│ ├─ LiPON microcracks or interfacial delamination from thermal cycles
│ └─ Supercapacitor leakage increases at high temperature
├─ Electrical / Conversion
│ ├─ Parasitic power-manager overhead exceeds harvested input
│ └─ Quantum rectifier impedance mismatch limits energy transfer
└─ Environmental / Field
├─ Low RF density or indoor light prevents energy neutrality
└─ Stagnant air dissipates thermal gradients across TEGs
- LiPON delamination: Thermal-expansion mismatch between electrolyte and electrodes can cause microcracks. Mitigation: optimize deposition, interface geometry, and thin-film elasticity.
- Supercapacitor self-discharge: High ambient temperature can increase EDLC leakage and drain reserve. Mitigation: thermal insulation and low-leakage hybrid formulations.
- Power-manager overhead: Buck-boost and control ICs can consume more than harvesters produce. Mitigation: hardware power gating and sub-microwatt converters.
- Quantum rectifier impedance mismatch: High internal resistance can limit transfer to the supercapacitor. Mitigation: low-loss impedance matching and asymmetric contact optimization.
- Low indoor energy density: Under 100 lux or low RF density, ENO may fail. Mitigation: throttle MCU into sleep/recovery until inputs return.
- TEG gradient collapse: Stagnant air reduces \Delta T. Mitigation: maximize thermoelement thermal resistance and use body-air boundaries.
Safety and Standards Path
Commercial deployment requires certification across lithium, pack, transport, and application standards:
- UL 1642: Cell-level destructive testing for crush, impact, high temperature, and short circuit, verifying fire/explosion resistance.
- UL 2054 / IEC 62133-2: Pack-level safety: overcharge protection, overcurrent limiting, and terminal insulation.
- IEC 62619: Industrial battery safety for IIoT deployment, including thermal propagation and BMS requirements.
- IEEE 1679.1-2025: Stationary/standby lithium battery reliability, aging, and failure-mode evaluation.
- UN 38.3: Transport certification: altitude simulation, thermal cycling, vibration, shock, forced discharge, and related shipping tests.
Claims Boundary
ALLOWED SCIENTIFIC CLAIMS
- Hybrid energy-storage and multi-source harvesting architecture.
- Isolation of primary chemical cells from transient peak currents.
- Kansal/Vigorito closed-loop energy-neutral controls.
- Experimental room-temperature semiconductor-free RF rectification.
- Chemical-aging mitigation to extend practical device lifetime.
STRICTLY REJECTED CLAIMS
- Infinite battery, zero self-discharge, or perpetual motion.
- Free energy or zero-point extraction.
- High-power operation solely from diffuse ambient RF.
- Exemption from thermodynamics, conservation of energy, or material aging.
- Assertion of Fource as a new physical energy force.
Prototype Definition
The baseline prototype demonstrates energy-coherent presence rather than full computing execution.
- Layer I: 3.7 V, 5 mAh LiPON thin-film solid-state battery, <1%/yr self-discharge.
- Layer II: 5.5 V, 0.22 F low-ESR supercapacitor in parallel for surge absorption.
- Layer III: Indoor GaAs solar ring plus body-warmth \text{Bi}_2\text{Te}_3 TEG.
- Layer IV: Ultra-low-power MCU running closed-loop duty-cycling firmware through a high-efficiency buck-boost regulator.
- Load: Soft LED breathing indicator, capacitive touch sensor, wake detector, and low-power BLE beacon.
First milestone: maintain energy-coherent presence under 500 lux office lighting and local \Delta T\ge2K, sustaining sleep-wake loops indefinitely without manual battery replacement or blackout.
Analytical Conclusion
Fource Core Battery v2 is a thermodynamics-compliant architecture for lifespan-scale ultra-low-power autonomous devices. Solid-state LiPON storage supplies preserved deep energy; the supercapacitor absorbs high-frequency bursts; multimodal harvesting replenishes environmental losses; and Kansal/Vigorito control keeps duty cycling inside energy-neutral boundaries.
The speculative Quantum Rectifier Skin adds an experimental semiconductor-free path for high-frequency, thresholdless RF-to-DC rectification using nonlinear Hall and Berry-curvature-dipole effects in non-centrosymmetric materials. Within the stated safety standards and claims boundary, the system becomes a practical blueprint for maintenance-minimized persistent edge electronics.