Internal temperature of a lithium-ion cell reconstructed from surface data alone, validated against a real core thermocouple. Three estimators on identical information: a one-line algebraic relation wins at 0.141 K, the inverse PINN loses at 0.614 K. The negative result is the headline.

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battery battery-management-system cramer-rao-bound identifiability inverse-problems lithium-ion negative-results numpy open-science parameter-estimation phase-change-materials physics-informed-neural-networks pinn pytorch reproducible-research scientific-computing system-identification temperature-estimation thermal-modeling virtual-sensors
5 Open Issues Need Help Last updated: Aug 22, 2026

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help wanted open-problem

Internal temperature of a lithium-ion cell reconstructed from surface data alone, validated against a real core thermocouple. Three estimators on identical information: a one-line algebraic relation wins at 0.141 K, the inverse PINN loses at 0.614 K. The negative result is the headline.

Jupyter Notebook
#battery#battery-management-system#cramer-rao-bound#identifiability#inverse-problems#lithium-ion#negative-results#numpy#open-science#parameter-estimation#phase-change-materials#physics-informed-neural-networks#pinn#pytorch#reproducible-research#scientific-computing#system-identification#temperature-estimation#thermal-modeling#virtual-sensors
good first issue open-problem

Internal temperature of a lithium-ion cell reconstructed from surface data alone, validated against a real core thermocouple. Three estimators on identical information: a one-line algebraic relation wins at 0.141 K, the inverse PINN loses at 0.614 K. The negative result is the headline.

Jupyter Notebook
#battery#battery-management-system#cramer-rao-bound#identifiability#inverse-problems#lithium-ion#negative-results#numpy#open-science#parameter-estimation#phase-change-materials#physics-informed-neural-networks#pinn#pytorch#reproducible-research#scientific-computing#system-identification#temperature-estimation#thermal-modeling#virtual-sensors
help wanted open-problem validation

Internal temperature of a lithium-ion cell reconstructed from surface data alone, validated against a real core thermocouple. Three estimators on identical information: a one-line algebraic relation wins at 0.141 K, the inverse PINN loses at 0.614 K. The negative result is the headline.

Jupyter Notebook
#battery#battery-management-system#cramer-rao-bound#identifiability#inverse-problems#lithium-ion#negative-results#numpy#open-science#parameter-estimation#phase-change-materials#physics-informed-neural-networks#pinn#pytorch#reproducible-research#scientific-computing#system-identification#temperature-estimation#thermal-modeling#virtual-sensors
good first issue open-problem identifiability

Internal temperature of a lithium-ion cell reconstructed from surface data alone, validated against a real core thermocouple. Three estimators on identical information: a one-line algebraic relation wins at 0.141 K, the inverse PINN loses at 0.614 K. The negative result is the headline.

Jupyter Notebook
#battery#battery-management-system#cramer-rao-bound#identifiability#inverse-problems#lithium-ion#negative-results#numpy#open-science#parameter-estimation#phase-change-materials#physics-informed-neural-networks#pinn#pytorch#reproducible-research#scientific-computing#system-identification#temperature-estimation#thermal-modeling#virtual-sensors
help wanted open-problem identifiability

Internal temperature of a lithium-ion cell reconstructed from surface data alone, validated against a real core thermocouple. Three estimators on identical information: a one-line algebraic relation wins at 0.141 K, the inverse PINN loses at 0.614 K. The negative result is the headline.

Jupyter Notebook
#battery#battery-management-system#cramer-rao-bound#identifiability#inverse-problems#lithium-ion#negative-results#numpy#open-science#parameter-estimation#phase-change-materials#physics-informed-neural-networks#pinn#pytorch#reproducible-research#scientific-computing#system-identification#temperature-estimation#thermal-modeling#virtual-sensors