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Mobility & Sustainability / 2025

SUV & Car Battery Cooling System Design

A vehicle concept and EV battery cooling system developed through aerodynamic and thermal-fluid analysis.

AutomotiveANSYSFusion 360BlenderThermal AnalysisAerodynamics
Skip to the design & results ↘
01 / Overview

The vehicle geometry

Explore the exterior concept, from its front channel and wheel region to the rear flow-control surfaces.

GROUP 23 / THERMOFLUIDSDESIGN → SIMULATION → TEST

SUV & BATTERY COOLING

Two flows.
One vehicle.

Shape the air around the vehicle. Distribute coolant through the battery plate. Two investigations connect geometry with measurable behaviour.

Silver SUV exterior concept from the group design report
Exterior conceptBlender → Fusion 360
AERODYNAMICS / CFD0.286 Cd

Numerical prediction

AERODYNAMICS / WIND TUNNEL0.31 Cd

Measured at 30 m/s

BATTERY COOLING / CFD46.6°C

Maximum battery temperature

BATTERY COOLING / CFD710.6 W

Total heat removed

01 / EXTERIOR STRATEGY

Shape the flow.
Then test the shape.

The design uses local flow-control features within a smooth SUV body. Each feature is a design intention; the flow study reveals what still needs work.

01Front channel

Guide the incoming air.

An SF90-inspired front passage organises flow over the hood. Smooth upper surfaces aim to maintain attachment towards the roof.

02Wheel air curtain

Manage the wheel region.

The air-curtain inlet directs air around the front wheel. The wheelhouse remains a source of disturbance to refine.

03Rear & C-pillar

Control where flow leaves.

An i8-inspired C-pillar split and rear shaping aim to organise separation. Testing identifies the tail as the next design priority.

FULL-SIZE CONCEPT / REPORT DIMENSIONS4.607 m length1.92 m width2.41 m² frontal area

02 / PHYSICAL VALIDATION

Out of the screen.
Into the tunnel.

A printed PLA model brings the surface geometry into a physical flow test. Tufts reveal local motion while force readings support coefficient comparisons.

THE REPEATED OBSERVATION

The rear is the weak point.

At 10, 20 and 30 m/s, the front and roof tufts stayed largely aligned. Persistent movement at the rear identified the dominant separation region; the oscillation became stronger as tunnel speed increased.

03 / AERODYNAMIC EVIDENCE

A prediction.
A physical check.

The reported wind-tunnel drag coefficient falls as test speed rises. At 30 m/s, the measured value remains above the CFD prediction.

Drag coefficient, CdWind-tunnel measurements
00.100.200.300.40
10 m/s
0.37
20 m/s
0.32
30 m/s
0.31
CFD reference0.286

Report summary value

Tunnel reference area: 0.00833 m². Each bar is a reported test point; the CFD reference is shown separately.

AT 30 m/s
0.024

Cd gap between tunnel and CFD

The two methods identify the same rear separation problem. Printed surface roughness, numerical resolution, turbulence modelling and experimental uncertainty can explain part of the difference.

CFD lift coefficient
0.240
Tunnel lift coefficient
0.206

Both lift coefficients are positive. Vehicle stability was not established by this comparison alone.

Test readings & interpretation
Reported wind-tunnel test points
SpeedDrag forceCd
10 m/s0.19–0.20 N0.37
20 m/s0.68–0.70 N0.32
30 m/s1.53–1.54 N0.31

The speed dependence is consistent with a Reynolds-number effect in the small model. Repeated runs and a consistent area/scale record would strengthen the comparison. The report uses slightly different area figures in its setup text; this page uses the 0.00833 m² value associated with the reported drag coefficients.

WHAT THE TEST CHANGES

Taper the rear more gradually.

Delay separation and reduce the wake behind the body.

Refine the wheelhouse.

Improve shielding and the direction of the front air curtain.

Smooth the real surface.

Reduce local discontinuities and printing imperfections.

04 / BATTERY COOLING

Share the flow.
Spread the cooling.

The selected cold plate uses parallel branches, distributing manifolds and two inlets. The design balances heat-transfer area against hydraulic resistance.

Original cold-plate concept showing the channel network and two pairs of ports
Selected concept / parallel channel architecture
FROM CONCEPT TO CAD

A network, not
a single long passage.

Parallel flow paths offer broad coverage. Manifolds distribute and collect the coolant; tapered transitions moderate abrupt changes in flow area.

Parallel branches
Increase wetted area and spread cooling across the plate.
Dual inlet / outlet
Shorten the distribution path and improve symmetry.
Tapered transitions
Reduce sudden area changes at branch connections.

Entrance restrictors were considered during concept development but omitted from the simulated CAD model.

01Two inletsSplit supply
02ManifoldDistribute
03Parallel pathsExchange heat
04Two outletsCollect flow

WHY THIS ARCHITECTURE?

Parallel

Shorter flow paths and lower restriction, with distribution imbalance to manage.

Serpentine

Broad coverage through a longer route, with more turns and pressure loss.

The selected refinement

Keep the parallel layout; improve headers and local heat-transfer regions.

05 / THERMAL-FLUID RESULTS

Look beyond
the average.

The refined CFD solution reports an average battery temperature of 42.5°C and a maximum of 46.6°C. The spatial field shows why both values matter.

AVERAGE BATTERY42.5°C
MAXIMUM BATTERY46.6°C
PRESSURE DROP15.1 Pa
HEAT REMOVED710.6 W
Choose a thermal field view
Original CFD temperature field showing cooler regions near the cold plate passages and warmer regions away from them
Original CFD field · perspective view

Cooling is effective, but not uniform.

The temperature field resolves warmer regions away from the cooling paths. A single average value would conceal that spatial variation.

20°C46.6°C

Reported temperature range. Colours retain the original CFD rendering; the key is a visual guide to the range.

Original CFD temperature distribution in the manifold and parallel coolant branches
Original CFD field · internal coolant volume

Distribution matters as much as flow.

The cooler inlet manifold feeds the parallel branches. The warmer collecting side makes the direction of heat transport visible across the network.

20°C46.6°C

Reported temperature range. Colours retain the original CFD rendering; the key is a visual guide to the range.

Simulation setup & limits
Software
Ansys Discovery 2025 R2 / Refine
Mass-flow inlets
2 × 0.005 kg/s at 20°C
Pressure outlets
2 × 0 Pa static pressure
Initial / ambient temperature
25°C
Volumetric heat source
1.03 × 10⁵ W/m³
External convection
10 W/m²·K at 25°C
Cold plate / coolant
Aluminium 6061-T4 / water
Refined mesh
630,636 elements / 170,989 nodes

No formal mesh-independence study was completed. The thermal results support this concept evaluation; they are not physical battery-test measurements. Values here follow the detailed setup and CFD output in the report, which resolve the summary’s inconsistent maximum-temperature label.

06 / THE NEXT ITERATION

Better cooling.
At what resistance?

Lower temperature and lower pressure drop are competing objectives. The next iteration should vary the flow geometry while checking both outcomes under the same conditions.

CHANGE TO EXPLOREINTENDED EFFECTWHAT TO CHECK

Widen the manifold

Lower local velocity and header losses

Whether branch flow stays balanced

Smooth the transitions

Reduce contraction and turning losses

Pressure drop at matched inlet flow

Widen the channels

Reduce hydraulic resistance

Any increase in peak battery temperature

Lengthen local cooling paths

Increase coolant contact and heat transfer

The added frictional pressure loss

How the hand calculations inform the next test

The one-dimensional thermal estimate reports 91.19°C, while the spatial CFD model reports 46.6°C. These should not be treated as a controlled improvement percentage: their inlet conditions, heat input and heat-loss assumptions differ.

The analytical pressure-loss section gives 1.399 Pa, while the later comparison table gives 9.8 Pa. Until that discrepancy is reconciled, the page uses the consistently reported CFD pressure drop of 15.1 Pa and keeps the analytical values out of the headline comparison.

MY CONTRIBUTION / GROUP 23

Connecting geometry
with engineering evidence.

My primary responsibility was modelling and CAD development. The team combined concept development, analytical calculations, simulation and wind-tunnel testing.

Yuxuan Zhou · Cici Song · Simon Xia · Joe Chen

PROJECT RECORD

Blender · Fusion 360 · Ansys
Physical prototyping · Wind-tunnel testing

Full group report 18 pages · 83 MB ↗Vehicle geometry STL ↓

Figures and results are taken from the group report. The two investigations share a vehicle brief; a coupled vehicle-and-battery simulation was not demonstrated.