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Verify · Reference TL-014 · Technical review:

Where Should Battery Temperature Be Measured?

A convenient sensor location can miss the limiting cell, joint or switching device. Sensor placement follows the expected heat sources and thermal paths.

Start with the decision ↓

The engineering decision

Place and validate temperature sensors against the hottest and coldest credible cell locations, component hot spots, the control purpose and the response time required for protection.

Have these inputs ready

  • Cell and connection loss estimates
  • Cooling direction and enclosure boundaries
  • Charge, discharge and ambient extremes, including non-uniform warm-up
  • Sensor accuracy, attachment and sampling rate

From heat source to BMS decision

Scroll horizontally to view the full diagram →

From heat source to BMS decisionThe measurement is useful only when its location and time response represent the limiting component. I²R / cell heat; Thermal path; Sensor; BMS limit; Power responseI²R / cellheat01Thermalpath02Sensor03BMS limit04Powerresponse05Correlate temperature measurement with the control response
The measurement is useful only when its location and time response represent the limiting component.

Build a heat-source and heat-path map first

Cell losses, busbar joints, switching devices and external heat can create different hot spots, while cold ambient, localized heating and uneven airflow can leave another cell at the lowest temperature. Map heat generation, cold exposure, conduction into structure, airflow and insulated regions before choosing sensor positions.

During internal heat generation, the core can be hotter than the measured surface. External heating can reverse that relationship. Sensor attachment, construction, cooling and event duration determine the offset and response; there is no universal surface-to-core correction.

Candidate locations and what they tell youScroll horizontally to compare all columns →
LocationUseful forBlind spot
Representative cell surfaceCell trend and thermal gradientCore-to-surface difference depends on heating and cooling
Terminal or busbar jointConnection-loss detectionDoes not represent cell core
FET / contactor regionCurrent-path thermal limitDoes not represent remote cells
Cooling inlet and outletCooling-system performanceLocal stagnant zones can be hotter
Expected coldest cell surfaceLow-temperature charge permissionDoes not represent the hottest cell or switching device

Correlate the installed sensor to the limiting temperature

Instrument a development pack with additional thermocouples and run the representative duty at hot ambient, cold start, low state of charge and repeated peaks where applicable. Compare the production-sensor signals with the hottest and coldest relevant reference points. Surface thermocouples establish surface temperatures; internal-temperature limits need a correlated model or an appropriately instrumented development cell.

Use the measured offsets and time delays to set limits with appropriate margin. A thermal model can guide placement, but correlation data establishes whether the production sensor protects the real assembly.

Pohmic = I²R Cell heat and boundary conditions determine the transient temperature field

Connect each sensor to a control purpose

State how each BMS channel limits charging, discharge, balancing or a local component. The charge-enable decision must cover the coldest credible cell, while overtemperature protection must cover the hottest relevant cell or component. Define sensor plausibility checks and behavior when a signal is missing or implausible.

Production inspection should confirm sensor part, position, attachment and routing. A correct calibration value cannot compensate for a sensor bonded to the wrong surface.

Measurement & validation procedure

Application acceptance checklistScroll horizontally to compare all columns →
Test / reviewRecordAcceptance condition
Map hot and cold limits under representative dutyAdditional reference sensors, attachment photographs, current trace and ambientReference locations cover predicted hottest and coldest cells, joints and switches
Quantify sensor offset and lagProduction-channel versus reference traces through hot, cold, non-uniform warm-up and repeated-pulse casesProtection margin covers the measured error and delay at each condition
Verify assembly and fault behaviorSensor location, attachment, open/short checks and resulting BMS actionsProduction method preserves the validated response

Continue this engineering task

Related engineering guidance

Prepare the evidence for review

  • Loss estimate and duty profile
  • Thermal boundary conditions
  • Sensor-location drawing
  • Correlation test and control thresholds
Continue to engineering review

Technical sources & claim support

References support the stated engineering principles. Worked examples use their explicitly stated assumptions.

  1. Richardson & Howey: Sensorless Battery Internal Temperature Estimation (IEEE TSTE, 2015) ↗

    Sections III-A and V–VIII; DOI 10.1109/TSTE.2015.2420375; author manuscript

    Validated on one 2.3 Ah cylindrical LFP cell; model parameters and accuracy do not transfer to other cells.

  2. Texas Instruments BQ76952 Technical Reference Manual, SLUUBY2B — temperature sensing and protection ↗

    Sections 4.8 and 5.2.9–5.2.14: thermistor measurement, sensor assignment, charge/discharge temperature protections, thresholds, delays and recovery

    Temperature measurement and protection configuration for the selected device revision; correlate sensor location and response with the limiting cell and component temperatures.

Key claims and evidence
Evidence mappingScroll horizontally to compare all columns →
ClaimBasisReference
BMS temperature inputs require defined sensors and configuration; BQ76952 overtemperature protection uses the maximum designated reading and undertemperature protection uses the minimumdocumentationTexas Instruments BQ76952 Technical Reference Manual, SLUUBY2B — temperature sensing and protection
Core and surface temperature estimation uses thermal properties, heat generation and boundary conditionsdocumentationRichardson & Howey: Sensorless Battery Internal Temperature Estimation (IEEE TSTE, 2015)
Development correlation should set production-sensor marginworkflowengineering workflow
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