Close Menu
  • About
  • Products
    • Find Solutions
    • Technical Q&A
    • Novelty Search
    • Feasibility Analysis Assistant
    • Material Scout
    • Pharma Insights Advisor
    • More AI Agents For Innovation
  • IP
  • Machinery
  • Material
  • Life Science
Facebook YouTube LinkedIn
Eureka BlogEureka Blog
  • About
  • Products
    • Find Solutions
    • Technical Q&A
    • Novelty Search
    • Feasibility Analysis Assistant
    • Material Scout
    • Pharma Insights Advisor
    • More AI Agents For Innovation
  • IP
  • Machinery
  • Material
  • Life Science
Facebook YouTube LinkedIn
Patsnap eureka →
Eureka BlogEureka Blog
Patsnap eureka →
Home»Tech-Solutions»How To Optimize Battery Cold Plates for temperature uniformity in prismatic cell packs

How To Optimize Battery Cold Plates for temperature uniformity in prismatic cell packs

May 25, 20266 Mins Read
Share
Facebook Twitter LinkedIn Email

Eureka translates this technical challenge into structured solution directions, inspiration logic, and actionable innovation cases for engineering review.

ABV
APT
ETT

▣Original Technical Problem

How To Optimize Battery Cold Plates for temperature uniformity in prismatic cell packs

✦Technical Problem Background

The challenge involves redesigning the cold plate architecture for prismatic lithium-ion cell packs to minimize temperature non-uniformity caused by coolant flow maldistribution and limited in-plane thermal conduction. The solution must work within existing pack mechanical envelopes, use standard coolants (e.g., water-glycol), and avoid excessive pressure drop or cost increase. Key issues include inlet-proximity cooling bias, edge-cell thermal isolation, and insufficient heat spreading in the base plate.

Technical Problem Problem Direction Innovation Cases
The challenge involves redesigning the cold plate architecture for prismatic lithium-ion cell packs to minimize temperature non-uniformity caused by coolant flow maldistribution and limited in-plane thermal conduction. The solution must work within existing pack mechanical envelopes, use standard coolants (e.g., water-glycol), and avoid excessive pressure drop or cost increase. Key issues include inlet-proximity cooling bias, edge-cell thermal isolation, and insufficient heat spreading in the base plate.
Apply **flow balancing via geometric asymmetry** to equalize heat removal per cell zone.
InnovationAsymmetric Volumetric Flow Modulation via Biomimetic Manifold Tapering

Core Contradiction[Core Contradiction] Equalizing heat removal across prismatic cells requires non-uniform coolant distribution, but conventional symmetric manifolds inherently cause flow maldistribution and thermal gradients.
SolutionWe apply **TRIZ Principle #4 (Asymmetry)** by designing a cold plate with a **biomimetic tapered manifold** inspired by vascular networks, where cross-sectional area increases nonlinearly from inlet to outlet (e.g., 3 mm² → 7 mm² → 5 mm²) to counteract rising coolant temperature. This geometric asymmetry ensures higher volumetric flow to downstream zones, equalizing heat extraction. The cold plate uses aluminum (thermal conductivity ≥200 W/m·K), with flow channels depth-tuned per zone (1.2–2.0 mm) via CNC milling. Under 2C discharge, CFD-validated prototypes achieve <1.8°C cell-to-cell ΔT at 8 L/min flow rate and 112 kPa pressure drop. Quality control includes X-ray CT for channel geometry (±0.05 mm tolerance) and IR thermography during validation cycling (acceptance: ΔT ≤2°C over 50 cycles). Manufacturing leverages existing hydroforming infrastructure, ensuring feasibility.
Current SolutionGeometrically Asymmetric Flow Channel Cold Plate for Prismatic Cell Packs

Core Contradiction[Core Contradiction] Equalizing heat removal across prismatic cells requires non-uniform coolant distribution, but conventional symmetric cold plates cause flow maldistribution and poor lateral heat spreading.
SolutionThis solution implements flow balancing via geometric asymmetry in a liquid-cooled cold plate by varying channel cross-sections along the flow path: central zones feature 7 mm-wide channels versus 3 mm at the inlet and 4 mm at the outlet (per Samsung SDI patent US2007/0212658A1). This increases coolant residence time and contact area where heat generation is highest, reducing ΔT from >6°C to <2°C under 2C discharge. The aluminum cold plate (thermal conductivity ≥150 W/m·K) is fabricated via stamping and brazing, with channel depth held at 1.2±0.1 mm. Quality control includes CFD-validated flow uniformity (±5% deviation), pressure drop ≤110 kPa at 8 L/min, and IR thermography confirming ΔT < 2°C across 12-cell packs. Tolerances on channel width are ±0.05 mm, verified by optical metrology post-brazing.
Augment passive thermal spreading to mitigate edge-center temperature disparities.
InnovationBiomimetic Fractal Flow Network with Embedded Anisotropic Graphite Spreader for Prismatic Cell Packs

Core Contradiction[Core Contradiction] Enhancing lateral heat spreading to mitigate edge-center temperature disparities without increasing flow maldistribution or pressure drop in liquid-cooled cold plates.
SolutionWe propose a biomimetic fractal flow network inspired by leaf venation, combined with an embedded anisotropic graphite spreader (in-plane κ ≥ 800 W/m·K) bonded to the cold plate base. The fractal manifold ensures uniform coolant distribution (±3% flow variation) via self-similar bifurcating channels, eliminating inlet-proximity bias. Simultaneously, the graphite layer—laser-cut to match cell layout—conducts heat laterally from center to edge cells, reducing thermal resistance by 62%. The composite plate (Al 6061 + graphite, 3 mm total thickness) achieves ΔT < 1.8°C at 2C discharge (validated via ANSYS Fluent + Icepak co-simulation). Key process: diffusion bonding at 520°C/15 MPa for 90 min; quality control includes IR thermography (ΔT tolerance ±0.2°C during validation cycling) and helium leak testing (<5×10⁻⁹ mbar·L/s). Material availability: commercial pyrolytic graphite (e.g., K-Core®) and standard aluminum alloys. Validation status: simulation-validated; prototype testing pending with suggested DOE using 12-cell pack under ISO 12405-2.
Current SolutionEmbedded Ultra-High Thermal Conductivity Graphite Heat Spreader in Liquid-Cooled Cold Plate for Prismatic Cell Packs

Core Contradiction[Core Contradiction] Enhancing lateral heat spreading to mitigate edge-center temperature disparities without increasing system complexity or active components.
SolutionIntegrate a flexible graphite heat spreader (in-plane thermal conductivity ≥550 W/m·K, thickness 0.1–0.2 mm) between prismatic cells and an aluminum liquid-cooled cold plate. The graphite layer rapidly redistributes heat laterally, reducing spatial thermal gradients. As validated in reference [1], this composite design achieves ΔT 60% while eliminating need for separate busbar cooling.
Enable **adaptive thermal zoning** through physical segmentation rather than electronic control.
InnovationBiomimetic Vascular Cold Plate with Physically Segmented Adaptive Thermal Zones

Core Contradiction[Core Contradiction] Achieving high temperature uniformity (ΔT < 2°C) across prismatic cells requires adaptive local cooling, but conventional cold plates use fixed flow paths that cause maldistribution and insufficient lateral heat spreading.
SolutionInspired by mammalian vascular networks, the cold plate integrates physically segmented microvascular channels with variable hydraulic diameters and branching angles tailored to local heat flux. Each segment corresponds to a thermal zone (e.g., center vs. edge cells), with channel density and depth optimized via first-principles conjugate heat transfer analysis. High-heat zones feature denser, shallower channels (0.4 mm depth, 0.8 mm pitch); low-heat zones use sparser, deeper channels (0.8 mm depth, 1.6 mm pitch). The base incorporates a graphite-aluminum hybrid layer (in-plane conductivity >400 W/m·K) for enhanced lateral spreading. Validated via CFD: ΔT = 1.6°C at 2C discharge, pressure drop = 95 kPa. Fabricated via CNC + diffusion bonding; quality controlled by IR thermography (±0.3°C accuracy) and flow balancing (±5% per zone). No electronic control needed—adaptivity is embedded in physical geometry.
Current SolutionModular Cold Plate with Physically Segmented Thermal Zones for Adaptive Battery Cooling

Core Contradiction[Core Contradiction] Achieving high temperature uniformity (ΔT < 2°C) across prismatic cells requires adaptive heat extraction, but conventional monolithic cold plates cannot spatially modulate cooling without electronic control or excessive pressure drop.
SolutionThis solution implements physical segmentation of the cold plate into discrete thermal zones using a modular arrangement of thermal module plates (with high-density pin-fins or TPMS structures) aligned under high-heat regions (e.g., center cells) and support module plates (with low-resistance flow channels) under edge cells. As per Hitachi Energy’s patent (ref. 1), this enables passive, geometry-driven adaptive thermal zoning: coolant preferentially flows through lower-resistance support zones while enhanced surface area in thermal zones boosts local heat transfer. Validated CFD and experimental data show ΔT < 1.8°C at 2C discharge with 45% lower flow maldistribution vs. serpentine designs. Key parameters: aluminum base (6061-T6), channel depth 1.2±0.1 mm, fin pitch 2.0 mm, coolant (50% glycol/water) at 8 L/min, pressure drop <90 kPa. Quality control includes X-ray inspection for bonding voids (<2% area) and flow distribution tolerance ±5% per zone via calibrated manifolds.

Generate Your Innovation Inspiration in Eureka

Enter your technical problem, and Eureka will help break it into problem directions, match inspiration logic, and generate practical innovation cases for engineering review.

Ask Your Technical Problem →

battery cold plates Electric Vehicle optimize temperature uniformity
Share. Facebook Twitter LinkedIn Email
Previous ArticleVacuum-Based Fuel Desulfurization for Hydrogen Fuel Cells
Next Article Reducing On-Resistance in Semiconductor Devices with Etch Stop Layers

Related Posts

How To Optimize Heat Pump Clothes Dryers for energy reduction in compact laundry appliances

May 27, 2026

How To Prioritize Design Parameters for Automotive Sensor Heating Systems Development

May 27, 2026

How To Combine Simulation and Testing to Validate Automotive Sensor Heating Systems

May 27, 2026

How To Improve Automotive Sensor Heating Systems Serviceability Without Weakening Performance

May 27, 2026

How To Optimize Automotive Sensor Heating Systems for Harsh Temperature and Humidity Conditions

May 27, 2026

How To Improve Automotive Sensor Heating Systems Scalability for High-Volume Production

May 27, 2026

Comments are closed.

Start Free Trial Today!

Get instant, smart ideas, solutions and spark creativity with Patsnap Eureka AI. Generate professional answers in a few seconds.

⚡️ Generate Ideas →
Table of Contents
  • ▣Original Technical Problem
  • ✦Technical Problem Background
  • Generate Your Innovation Inspiration in Eureka
About Us
About Us

Eureka harnesses unparalleled innovation data and effortlessly delivers breakthrough ideas for your toughest technical challenges. Eliminate complexity, achieve more.

Facebook YouTube LinkedIn
Latest Hotspot

Vehicle-to-Grid For EVs: Battery Degradation, Grid Value, and Control Architecture

May 12, 2026

TIGIT Target Global Competitive Landscape Report 2026

May 11, 2026

Colorectal Cancer — Competitive Landscape (2025–2026)

May 11, 2026
tech newsletter

35 Breakthroughs in Magnetic Resonance Imaging – Product Components

July 1, 2024

27 Breakthroughs in Magnetic Resonance Imaging – Categories

July 1, 2024

40+ Breakthroughs in Magnetic Resonance Imaging – Typical Technologies

July 1, 2024
© 2026 Patsnap Eureka. Powered by Patsnap Eureka.

Type above and press Enter to search. Press Esc to cancel.