优化母线系统以用于高电流、高压人工智能_机器学习配电.pdf

1、Optimizing Bus Bar Systems for High-Current,High-Voltage AI/ML Power DistributionMolexNrupathunga SRTechnology ManagerMolexA.Sai Surya TejaTechnology EngineerMolexOptimizing Bus Bar Systems for High-Current,High-Voltage AI/ML Power DistributionRACK&POWER In the next 3 years,a single AI/ML rack will

2、consume more power than an entire traditional data center row consumed just 5 years ago.“Critical Infrastructure ChallengeBus bar systems are the backbone of high-current power distribution,but existing designs are inadequate for AI/ML demands.Today,well explore how advanced bus bar optimization can

3、 bridge this gap.Thermal management at unprecedented power densitiesSpace constraints in high-density rack environmentsSafety requirements for high-voltage DC systemsStructural integrity under extreme operational conditionThe AI/ML Power Revolution10-20kW Traditional Rack Power140kW+AI/ML Rack Requi

4、rement400V DCNew Voltage Standards Power Evolution TimelineWhy 400V DC is InevitableOhmic losses scale with IR-reducing current by 8x reduces losses by 64xCable and conductor sizing becomes manageable at higher voltagesDC eliminates AC conversion losses at the rack levelEnables direct integration wi

5、th DC battery backup systemsPower,Voltage,and DensityEraRack PowerVoltagePrimary ChallengeTraditional Computing5-15kW12V DCEfficiencyHigh-Performance Computing15-40kW48V DCCurrent DistributionAI/ML Current40-100kW48 V DCThermal ManagementAI/ML Future140kW+400V DCSystem IntegrationCore Challenge:Exis

6、ting bus bar systems designed for 12-48V DC cannot safely or efficiently handle 400V DC at 140kW+power levels without fundamental redesign.Material Selection Decision MatrixMaterial Choices for AI/ML Bus BarsPropertyCopperAluminumCu-Ag AlloyAI/ML Optimal ChoiceConductivity(%IACS)100%61%105%Cu-Ag for