State of health (SoH)
Definition (what it is)
State of health (SoH) is a dimensionless metric, typically expressed as a percentage, that describes the current condition of a rechargeable battery (cell, module, or pack) relative to a defined reference state, usually its specified performance when new. A value of 100% indicates the battery meets its beginning‑of‑life (BOL) specification; values below 100% reflect performance loss from aging. SoH generally declines over time due to calendar aging (time and temperature effects) and cycle aging (charge/discharge usage).
What it represents and how it is defined
- Single- or multi-indicator metric: SoH can be defined in different ways depending on the application.
- Capacity-based SoH: SoH (%) = (current maximum capacity ÷ initial rated capacity) × 100.
- Power-based SoH: based on deliverable power at specified state of charge (SoC) and temperature.
- Composite SoH: a weighted combination of indicators such as remaining capacity, internal resistance/impedance growth, power capability, self-discharge rate, and coulombic efficiency.
- No universal standard: Manufacturers and test labs may use different definitions, reference conditions, and weighting schemes, so SoH values from different sources are not always directly comparable.
- Reference conditions and normalization: To be meaningful, SoH assessments specify or normalize for temperature, SoC window, C-rate, rest times, and other conditions that strongly affect measured capacity and power.
How it is measured or estimated
- Not directly measurable: SoH is estimated from observed behavior. On-board estimates are typically produced by a battery management system (BMS); off-board estimates come from controlled diagnostic tests.
- Common estimation methods
- Capacity inference from full or partial charge–discharge tests under standardized conditions.
- Open-circuit voltage (OCV) versus SoC mapping and curve shifts over life.
- Incremental capacity analysis (ICA) and differential voltage analysis (DVA).
- Model-based observers using equivalent circuit or physics-based electrochemical models, often with Kalman filters, particle filters, or other state observers.
- Data-driven and machine-learning approaches trained on voltage–current–temperature (V–I–T) histories.
- Update cadence and uncertainty: SoH estimates improve as more data are collected across relevant operating regimes. Uncertainty arises from sensor noise, limited observation of the full SoC/temperature space, and deviations from standardized test conditions.
- Displayed versus true SoH: Some systems smooth or buffer reported values for user experience or warranty purposes; third-party tests under controlled conditions may yield different numbers.
Thresholds, end of life, and use in decisions
- Application-specific thresholds define when a battery remains fit for purpose.
- Electric vehicles (traction batteries): end of life is often defined near 70–80% capacity SoH or when power capability falls below a specified threshold.
- Stationary energy storage: usable at lower SoH (for example 60–70%), depending on service requirements.
- Consumer electronics: replacement thresholds vary widely and are typically capacity-based.
- Remaining useful life (RUL): RUL predictions combine current SoH with expected duty cycles and environmental conditions to estimate time or cycles to end of life.
Why SoH matters (relevance and applications)
- Range, performance, and charging: In EVs, SoH directly impacts usable energy, power delivery, fast‑charge acceptance, and thus driving range and acceleration over the product life.
- Safety and reliability: Degradation mechanisms that drive SoH decline (for example impedance rise, lithium plating, loss of active material) affect heat generation, balancing, and thermal runaway risk. SoH-aware control can mitigate abusive conditions.
- Warranty, residual value, and second life: SoH underpins warranty adjudication, resale value for used batteries and vehicles, and screening for second‑life redeployment into stationary systems.
- Fleet and lifecycle optimization: Operators use SoH tracking for predictive maintenance, charging strategy optimization, asset scheduling, and total cost of ownership reduction.
- Design validation: Engineers evaluate SoH trajectories under representative cycles to validate chemistries, cell designs, pack architectures, and thermal management systems against lifetime targets.
Examples
- Capacity example: A battery pack rated at 65 kWh when new that now delivers 60 kWh under standardized test conditions has an SoH of approximately 92%, indicating modest capacity fade with likely continued suitability for normal operation.
- Application example: A retired EV pack at 75% SoH may be repurposed for stationary applications where reduced energy is acceptable but power and reliability remain adequate.
Factors that influence SoH over life
- Operating conditions and usage patterns
- Temperature exposure (both high and low), including storage and operating temperatures.
- Average SoC and time spent at high SoC; deep cycles and high C‑rate charging/discharging.
- Fast charging frequency, low-temperature charging (risk of lithium plating), and aggressive acceleration/regeneration profiles.
- Thermal management effectiveness and cell-to-cell temperature uniformity.
- Cell chemistry and materials
- Cathodes: NMC, NCA, LFP, high‑Mn layered oxides exhibit different fade behaviors (for example transition‑metal dissolution, structural changes).
- Anodes: graphite, silicon–graphite blends, or LTO influence swelling, SEI stability, and impedance growth.
- Electrolytes and additives: Li-salt carbonate systems and film-forming additives (for example FEC, VC) affect SEI/CEI formation and stability.
- Separators, binders, conductive networks, and current collectors contribute to mechanical integrity and resistance evolution.
- Design and manufacturing
- Electrode processing (coating uniformity, porosity, calendaring density) and formation protocols shape early-life stability and dispersion in SoH.
- Electrode balancing (N/P ratio), tab placement, and mechanical constraints influence local current density, heat generation, and degradation uniformity.
- Module/pack integration, including compression, electrical interconnects, and cooling strategies, drives cell-to-cell SoH consistency.
- BMS hardware and software (limits, balancing, estimation algorithms) protect against conditions that accelerate SoH decline.
Degradation mechanisms that reduce SoH
- Loss of lithium inventory via SEI growth and side reactions.
- Loss of active material due to particle cracking, electrode delamination, and structural changes.
- Impedance increase from SEI thickening, pore clogging, and current collector corrosion.
- Transition‑metal dissolution from the cathode and deposition on the anode.
- Electrolyte oxidation/reduction, gas generation, and separator degradation.
- Lithium plating during high-rate or low-temperature charging.
Standardization and testing
- Standards bodies (for example IEC, ISO, SAE, UL) publish procedures for capacity and power testing, specifying temperatures, C‑rates, rest periods, and SoC windows to improve SoH comparability.
- Despite available procedures, SoH definitions and test methods are not yet fully harmonized across industries and manufacturers, complicating cross-platform comparisons and secondary-market certification.
- Best practice is to report the SoH definition used, the reference test conditions, and uncertainty bounds or confidence intervals.
Related terms and synonyms
- Battery health or battery state of health: common synonyms.
- State of charge (SoC): instantaneous charge level relative to full charge; distinct from SoH, which reflects aging.
- State of power (SoP) or state of function (SoF): available power or ability to meet a specific function under given conditions; often derived from impedance and related to SoH.
- Remaining useful life (RUL): projected time or cycles remaining until an end‑of‑life criterion is reached.
- Capacity retention or power retention: terms used when SoH is defined solely by capacity or power, respectively.