Degradation of Capacitors and its Failure Mechanisms

The paper “Capacitor Degradation and Failure Mechanisms: Exploring Different Causes Across Technologies” was presented by Frank Puhane, Würth Elektronik eiSos GmbH & Co.KG, Waldenburg, Germany at the 5th PCNS Passive Components Networking Symposium 9-12th September 2025, Seville, Spain as paper No. 2.7.

This paper was selected and awarded by TPC Technical Program Committee as the:


OUTSTANDING PAPER AWARD


Introduction

This article presents a comprehensive study of how various capacitor types age, degrade, and eventually fail. Capacitors are a crucial yet failure-prone component in power supply and electronic systems. The paper clearly distinguishes between capacitor degradation (wear-out) and total failure, and it explores how environmental, electrical, and material factors influence both phenomena across technologies such as aluminum electrolytic capacitors, aluminum polymer, hybrid polymer, metallized film capacitors, multilayer ceramic capacitors (MLCCs), and supercapacitors (EDLCs).

Key Takeaways

  • The paper highlights the distinction between capacitor degradation (wear-out) and total failure, emphasizing technology-specific mechanisms for various capacitors.
  • Environmental factors like temperature and humidity significantly impact capacitor aging, affecting reliability and performance across different types.
  • Case studies demonstrate measurable degradation outcomes influenced by stress factors, including weight loss in electrolytic capacitors and capacitance drift in MLCCs.
  • Accurate capacitor lifetime predictions require tailored models that consider specific degradation mechanisms and operational stress rather than relying on traditional FIT and MTBF metrics.

Extended Summary

The article begins by clarifying the difference between capacitor degradation—a progressive reduction in performance—and total failure. While FIT and MTBF provide statistical reliability measures, they often overestimate practical lifetime because they do not predict when a capacitor can no longer fulfill its functional role in a circuit.

The paper thoroughly examines various capacitor technologies. Metallized film capacitors are sensitive to temperature, humidity, and AC voltage, with electrochemical corrosion being the critical failure mechanism under harsh conditions. Lifetime modeling often uses Arrhenius or Eyring laws, but parameters vary significantly among manufacturers. Aluminum electrolytic capacitors primarily degrade through electrolyte evaporation accelerated by high temperatures. Their lifetime is commonly modeled with Arrhenius-based formulas incorporating temperature, voltage, and ripple current effects. Aluminum polymer and hybrid polymer capacitors avoid electrolyte dry-out but are sensitive to humidity, which increases ESR over time, while capacitance remains stable.

Multilayer ceramic capacitors (MLCCs) have undergone major changes with the adoption of base-metal electrodes and miniaturization. BME MLCCs are prone to insulation resistance degradation due to oxygen vacancy electromigration and are very sensitive to mechanical stress. High CV density and thin dielectrics make them more vulnerable to cracking, which may lead to long-term reliability issues. Supercapacitors (EDLCs) show degradation under prolonged voltage stress due to slow faradaic reactions and electrolyte aging. Long-term endurance tests demonstrate that ESR and capacitance loss occur in two phases, with the initial period showing the fastest changes.

The article also includes case studies that quantify how environmental and operational conditions affect performance over time. For electrolytic capacitors, weight loss correlates with capacitance reduction under high-temperature endurance tests. Polymer and hybrid capacitors show ESR increases under 85°C/85% RH stress without significant capacitance loss. Metallized film capacitors exposed to 85°C/85% RH with AC voltage reveal rapid early capacitance drop, while THB-rated variants fare better. MLCCs demonstrate long-term voltage-dependent capacitance drift, and supercapacitors exhibit extended lifetimes under room-temperature, rated-voltage conditions with gradual performance decay.

Finally, the authors emphasize that lifetime estimation should be tailored to each capacitor type and application. FIT/MTBF provides statistical reliability for large populations but does not define practical end-of-life. Predictive methods incorporating environmental and operational factors—potentially enhanced with physics-based machine learning—are increasingly valuable for real-world reliability assurance.

Chapter 1: Degradation vs. Failure

Degradation is characterized by progressive changes in capacitance and equivalent series resistance (ESR), while failure is defined as the inability of the capacitor to meet its functional role. Traditional reliability metrics such as FIT (Failures in Time) and MTBF (Mean Time Between Failures) provide statistical averages but often fail to capture the practical end-of-life behavior of individual components.

AspectDegradationFailure
DefinitionGradual performance lossComplete functional breakdown
MetricsCapacitance drift, ESR increaseFIT, MTBF
PredictabilityProgressive, measurableOften sudden
ImpactReduced efficiencySystem malfunction

Chapter 2: Technology-Specific Mechanisms

2.1 Aluminum Electrolytic Capacitors

Aluminum electrolytic capacitors (AECs) rely on a liquid electrolyte to maintain conductivity between the etched aluminum anode foil and the cathode. The dielectric is a thin anodized Al2O3 layer. Over time, electrolyte evaporation becomes the dominant degradation mechanism, especially at elevated temperatures. This evaporation reduces ionic conductivity, leading to increased ESR and reduced capacitance. Ripple current accelerates internal heating, further driving electrolyte loss. Failure typically manifests as open-circuit behavior, though in rare cases dielectric breakdown can cause short circuits.

Key degradation accelerators include:

2.2 Aluminum Polymer and Hybrid Capacitors

Polymer capacitors replace the liquid electrolyte with a conductive polymer, eliminating evaporation issues. Hybrids combine polymer with a small amount of liquid electrolyte, balancing ESR performance with improved voltage endurance. The primary degradation factor is humidity ingress, which increases ESR without significantly affecting capacitance. Polymer capacitors typically fail in an open mode, while hybrids may also exhibit leakage current growth under extreme stress.

Distinctive features:

2.3 Metallized Film Capacitors

Film capacitors use thin polymer films (e.g., polypropylene) with vacuum-deposited metallization. They exhibit excellent self-healing properties: localized dielectric breakdown vaporizes the metallization around the defect, isolating the fault. However, under high humidity and AC stress, electrochemical corrosion of the metallization occurs, leading to capacitance loss. This is particularly critical in non-hermetic packages where moisture ingress is unavoidable.

Key points:

2.4 Multilayer Ceramic Capacitors (MLCCs)

MLCCs with base-metal electrodes (BME) are highly miniaturized, enabling high CV density. Their main vulnerabilities are:

Cracks may not cause immediate failure but facilitate moisture ingress, leading to time-dependent dielectric breakdown.

2.5 Supercapacitors (EDLCs)

Supercapacitors store energy via electric double-layer capacitance and pseudocapacitive faradaic reactions. Their degradation is driven by:

Degradation typically follows a two-phase curve: rapid ESR increase in the early phase, followed by gradual capacitance decay.

Chapter 3: Environmental and Operational Stress Factors

Capacitor reliability is strongly influenced by external stresses. Temperature, humidity, voltage, and mechanical forces act synergistically, often accelerating degradation beyond simple additive effects.

Stress FactorImpact on ElectrolyticImpact on Polymer/HybridImpact on FilmImpact on MLCCImpact on Supercapacitor
TemperatureElectrolyte evaporationAccelerates ESR risePolymer shrinkageThermal mismatch crackingElectrolyte decomposition
HumidityLeakage increaseESR increaseCorrosion of metallizationMoisture-assisted breakdownElectrolyte contamination
VoltageDielectric thinningLeakage growthAccelerated corrosionIR degradationFaradaic side reactions
Mechanical StressSeal crackingTerminal fatigueFilm delaminationBody crackingCollector corrosion

Chapter 4: Reliability Modeling

Reliability prediction requires models that capture the physics of degradation. Traditional FIT/MTBF values are insufficient for design-level assurance. Instead, engineers employ:

Arrhenius Lifetime Model:

L = L0 · e ( – E k·T )

Eyring Model:

L = L0 · e ( – E k·T + n·V )

Chapter 5: Case Studies

Practical experiments illustrate how stress factors translate into measurable degradation:

Conclusion

Capacitor degradation and failure mechanisms are highly technology-dependent, influenced by environmental and operational stress factors. Statistical reliability metrics such as FIT and MTBF provide population-level insights but fail to capture practical end-of-life behavior. Engineers must adopt tailored lifetime models, accelerated testing, and predictive analytics to ensure system reliability. By integrating advanced modeling approaches, including physics-based and machine learning methods, the industry can extend capacitor lifetimes and enhance the robustness of electronic systems.

The study highlights that capacitor lifetime and failure depend heavily on technology, environmental stress, and operating conditions. Accurate lifetime prediction requires distinguishing between statistical failure rates and practical end-of-life behavior. By analyzing degradation mechanisms, accelerated tests, and long-term studies across different capacitor technologies, the paper provides clear guidance for engineers designing high-reliability systems. Incorporating advanced modeling and predictive approaches can help in mitigating failures, extending service life, and improving the reliability of electronic systems where capacitors remain critical components.

Capacitor Degradation and Failure Mechanisms – FAQ

What is the difference between capacitor degradation and failure?

Degradation is a gradual loss of performance, such as reduced capacitance or increased ESR, while failure is a sudden event where the capacitor no longer functions. FIT and MTBF measure statistical reliability but do not define practical end-of-life.

Which factors accelerate capacitor aging?

High temperature, applied voltage, humidity, and mechanical stress are the main drivers of capacitor degradation. MLCCs are especially vulnerable to cracking from mechanical stress.

How do different capacitor technologies fail?

Electrolytic capacitors degrade through electrolyte evaporation, polymers through humidity-driven ESR increase, film capacitors through electrochemical corrosion, MLCCs through cracking and insulation resistance loss, and supercapacitors through electrolyte aging and faradaic reactions.

Why are traditional reliability models insufficient?

FIT and MTBF provide statistical averages but do not predict individual component lifetimes. Physics-based models and machine learning approaches offer more accurate lifetime predictions.

How to Improve Capacitor Reliability in Electronic Systems

  1. Select the right capacitor technology

    Choose electrolytic, polymer, film, MLCC, or supercapacitors based on application needs, considering voltage, temperature, and mechanical stress factors.

  2. Control environmental conditions

    Minimize exposure to high temperature, humidity, and vibration. Use protective coatings or enclosures where necessary.

  3. Apply derating strategies

    Operate capacitors below their maximum rated voltage and temperature to extend service life and reduce stress-related failures.

  4. Use advanced lifetime prediction models

    Incorporate Arrhenius/Eyring models or physics-based machine learning approaches to estimate realistic end-of-life behavior.

  5. Validate with accelerated testing

    Perform endurance and stress tests (e.g., 85°C/85% RH) to confirm reliability under worst-case conditions before deployment.

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