Cooling Measures for Overloaded Harnesses

Cooling Measures for Overloaded Harnesses

Material Optimization

Key strategy: Reduce Joule heating by minimizing conductor resistance.
Material TypeCharacteristics and AdvantagesApplication Scenarios
Copper Alloy WiresLow resistivity (<1.7×10⁻⁸ Ω·m), cost-effective for high-current applications.EV high-voltage harnesses, industrial power distribution.
Silver-Plated Wires30%~50% lower contact resistance, anti-oxidation, stable for high-frequency signals.Aerospace, precision instrument harnesses.
Nickel-Based AlloysWithstand >400°C, excellent creep resistance.High-temperature environments (e.g., engine compartments).
Goal: Enhance thermal conductivity of insulation layers while ensuring electrical safety.
(1)High-Temperature Insulation
  • PTFE:Temperature range: -200℃~260℃, chemically inert, low friction coefficient.
  • Silicone Rubber:High flexibility, 180℃~250℃ resistance, ideal for complex bending harnesses.
(2)Thermal Conductivity Enhancement
MethodologyPrincipleEffect
Alumina ParticlesMix 10%~30% alumina (thermal conductivity 30 W/m·K).3~5× higher conductivity, 15%~20% cost increase.
Thermal Grease CoatingCoat harness with boron nitride-enhanced grease.40%~60% lower interfacial thermal resistance, requires maintenance.
MaterialsStructural DesignComprehensive Advantages
Metal-Polymer LaminatesAlternating copper foil and polyimide layers.High thermal conductivity (5~8 W/m·K) + electrical insulation.
Carbon Fiber-Reinforced WiresCarbon fiber coating on copper core.30% weight reduction, 10%~15% higher current capacity.
• Cost-effective: Copper alloy + silicone rubber + alumina filler
• Extreme conditions: Silver-plated wires + PTFE + liquid cooling

Structural Design

Objective: Minimize heat concentration and enhance cooling efficiency through spatial distribution optimization.
(1)High-Temperature Insulation
  • Wire Harness Pitch Control: Maintain spacing ≥2× wire diameter (or ≥10 mm) between adjacent harnesses.
  • Partition Management: Separate high-power and low-power harnesses in different channels.
(2)Layered Isolation
Hierarchical DesignFunctional DescriptionApplication Examples
EM Shielding LayerMetal braid layer blocks EMI and reduces eddy current heating.High-frequency communication harnesses, automotive sensor harnesses.
Thermal Barrier LayerCeramic fiber or aerogel layers reflect radiant heat.Engine compartment harnesses, industrial high-temperature equipment.
Core principle: Accelerate heat transfer and dissipation via structural design.
(1)Passive Cooling
  • Metal Heat Sinks:
    Wrap harnesses with aluminum/copper fins to enhance natural convection.
    Example parameters: Fin thickness 0.5~1 mm, density 5~8 fins/cm.
  • Corrugated Conduit Design:
    Corrugated tubes (nylon or metal) increase turbulent airflow for cooling.
(2)Active Cooling Integration
Structural SolutionsWorking PrincipleApplicable Scenarios
Embedded Liquid ChannelsMicro liquid channels in cable jackets circulate coolant.Data center harnesses, EV battery pack harnesses.
Airflow Guide GroovesSurface grooves guide airflow with fans (≥3 m/s).Server racks, industrial control cabinets.
Advantage: Reduce localized heat load and simplify maintenance.
Module TypeDesign FeaturesCooling Benefits
Detachable ConnectorsPlug-in terminals allow quick disconnection of high-heat modules.50% faster cooling maintenance.
Segmented Shielding CoversModular metal covers enable localized cooling.15%~20% hotspot temperature reduction.
Key focus: Balance mechanical strength and thermal performance.
  • Thermal Expansion Compensation Structures: Spring coils or elastic brackets compensate for thermal expansion (≥5 mm/m).
  • Lightweight openwork design: Lightweight honeycomb structures reduce weight by 30% and improve heat dissipation.
The structural design achieves efficient cooling through space layout optimization, heat dissipation structure innovation and modularity. For example:
  • Layered Isolation + Embedded Liquid Channels
  • Corrugated Tubes + Airflow Guide Grooves

Active Cooling Systems

Advantage: Low cost and easy deployment through enhanced airflow.
(1)Integrated Fans
  • Axial Fans: Mounted near harnesses with 2~5 m/s airflow, improving efficiency by 30%~50%.
    Applications: Server racks, EV battery harnesses.
  • Centrifugal Fans: High-pressure airflow penetrates dense harness areas (pressure >200 Pa).
    Applications: Industrial control cabinets, aerospace systems.
(2)Airflow Path Optimization
Design MethodologyFunctional DescriptionPerformance Enhancement
Air Guide PlatesDirect airflow to high-heat harnesses (e.g., copper plates).Local temperature reduction: 15~25℃.
Honeycomb DuctsHexagonal structures reduce turbulence and distribute airflow evenly.Overall efficiency improvement: 20%~30%.
Superiority: Heat transfer capacity significantly exceeds air cooling.
(1)Liquid Cooling Solutions Comparison
TypePrinciple of operationCoolantScenario
Microchannel Cold PlatesMetal plates with microchannels (0.1~0.5 mm) attached to harness surfaces.Water-glycol mixtureData centers, high-power electronics.
Immersion CoolingSubmerge harnesses in dielectric fluid (e.g., fluorocarbon).Fluorocarbon/Mineral oilSupercomputers, energy storage systems.
(2)Key Parameters
  • Flow rate: 0.5~2 L/min, adjusted based on thermal load.
  • Temperature gradient: Inlet-outlet ΔT ≤10℃ to prevent local boiling.
Advantage: Absorb large amounts of heat via latent heat, ideal for transient overloads.
(1)PCM Types
MaterialPhase Transition TemperatureLatent heat capacityIntegration method
Paraffin40~80℃150~250 kJ/kgEmbedded in harness sheath layers.
Metal Alloys100~300℃200~400 kJ/kgFins or wraps around harnesses.
(2)Heat Pipe Technology
  • Principle: Evaporation-condensation cycle of working fluid (e.g., water/ammonia).
  • Example: 6 mm copper heat pipe, heat transfer >100 W.
Goal: Balance performance and cost by combining multiple cooling methods.
Combined SolutionsComponents & BenefitsApplication Cases
Air + Liquid CoolingAir cooling at low load, liquid cooling activated at high load.Hybrid EV harnesses, smart grid systems.
PCM + Heat PipesPCM absorbs peak heat, heat pipes export residual heat.5G base station harnesses, industrial robots.
The selection of an active cooling system requires a combination of Heat Load Intensity, Environmental Constraints and Cost-Effectiveness:

Monitoring & Protection

Objective: Prevent harness failure caused by overheating through real-time monitoring and intelligent protection.
(1)Temperature Sensors
TypePrinciplePrecisionApplication Scenarios
ThermocouplesBased on Seebeck effect (temperature difference).±1.5℃High-temperature harnesses (>300℃).
PT100 SensorsLinear resistance variation (100Ω at 0℃).±0.3℃Precision systems (e.g., medical devices).
Fiber Optic SensorsLight signals modulated by temperature, EMI-resistant.±0.5℃High-voltage substations, explosive environments.
(2)Multi-Parameter Monitoring
  • Current/Voltage Monitoring: Hall sensors (±1% accuracy) detect overload currents.
  • Thermal Imaging: Infrared cameras (resolution ≤0.05℃) scan hotspots periodically
(1)Smart Circuit Breakers
FunctionTrigger conditionsResponse time
Dual Thresholds (T & I)T >85℃ or I >150% rated current.≤50 ms
Auto-ResetAuto-reconnect after cooling (ΔT <10℃).5~10 min
(2)Fuses & Current Limiters
TypeCharacteristicScenario
Fast-Acting FusesResponse <1 ms, breaking capacity 10 kA.Short-circuit protection (e.g., battery harnesses).
PTC Resettable FusesResistance spikes during overload, self-resetting.Consumer electronics, low-voltage automotive harnesses.
(3)Dynamic Load Management
  • Priority Control: Shut down non-critical loads via CAN/PLC.
  • Current Balancing: Distribute current among parallel harnesses (<5% deviation).
(1)Predictive Maintenance
TechnologiesData SourcesEarly Warning Indicators
Machine LearningHistorical T, I, and environmental data.Temperature rise rate >2℃/min or aging index >80%.
Digital Twin3D harness model + real-time sensor data.Alert when simulation-actual ΔT >5℃.
(2)Remote Monitoring Platforms
  • Cloud Dashboard: Visualize temperature distribution, load status, and trends.
  • Multi-level alarms
    • Level 1 (Yellow): 80% threshold reached, notify operators.
    • Level 2 (Red): Threshold exceeded, activate protection.
The monitoring and protection system builds a closed-loop security system through Real-Time Sensing, Intelligent Decision-Making and Rapid Response. Typical programs include:
  • Fiber Optic Sensors + Smart Breakers + Digital Twin
  • In-vehicle scenarios:PTC Fuses + CAN-Based Load Management

Maintenance Management

Objective: Extend harness lifespan and sustain cooling performance through systematic maintenance.
Core principle: Prevent cooling failure caused by aging or contamination.
(1)Scheduled Maintenance Plans
Maintenance tasksFrequencyTools & MethodsTarget results
Insulation InspectionEvery 6 monthsVisual check + Megger (>100 MΩ).Prevent leakage and short circuits.
Cooling Structure CleaningEvery 3 monthsCompressed air (≤0.3 MPa) or ultrasonic cleaning.Restore >90% cooling efficiency.
Connection TighteningAnnualTorque wrench (5~10 N·m per specs).Reduce contact resistance by 10%~20%.
(1)Dust & Oil Removal
  • Dry Cleaning: Anti-static brushes or vacuums for surface dust.
  • Wet Cleaning: Isopropyl alcohol (≥99%) for oil stains, avoiding insulation damage.
(1)Anti-Corrosion Measures
MethodsScenarioEffect
Conformal CoatingHigh humidity/salt spray environments.Reduce corrosion by 70%~90%.
Sealed Terminal BoxesChemical or dusty areas.>95% contaminant blockage.
(1)Load Balancing Strategies
  • Dynamic Allocation: Adjust loads based on real-time temperature (<5% deviation).
  • Capacity Upgrade: Replace with larger cross-section cables (e.g., 4→6 mm²).
(2)Overload History Analysis
ParametersAnalysis ToolsOptimization Actions
Peak Current LogsData loggers (≥1 kHz sampling).Adjust breaker thresholds or add redundancy.
Temperature Rise CurvesThermal simulation software.Optimize cooling structures or boost cooling power.
Maintenance management achieves sustainable cooling effectiveness through Preventive Maintenance, Data-Driven Decisions and Capacity Building. Typical Scenario Applications:
  • Quarterly Cleaning + Load Analysis + ANSYS Simulation
  • In-vehicle scenarios:Annual Tightening + Dynamic Load Allocation

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