2026 Ultimate MLCC Selection Guide

tác giả: 11

2026-04-08

2026 Ultimate MLCC Selection Guide

Usage & Parameter Comparison for AI Servers + New Energy Vehicles

Document Version: V2.0

Release Date: 2026

Issued By: [Your MLCC MUSENlaidun ]

Core Keywords: MLCC Selection, AI Server MLCC, Automotive-Grade MLCC Parameters, New Energy Vehicle MLCC Usage

Introduction: Selection Pain Points
MLCC Usage in 3 Core Scenarios (2026 Tested Data)
Key Parameter Selection Table (Pitfall Avoidance)
Domestic MLCC Replacement Recommendations
Value-Added Resources & Consultation

1. Introduction: Selection Pain Points

Common issues caused by improper MLCC selection include:

Frequent downtime of AI servers
High-temperature failure of automotive MLCCs
Procurement costs exceeding 30%

These problems essentially result from mismatched specifications between MLCCs and application requirements. In 2026, with the explosive growth of AI and new energy vehicles (NEVs), MLCC demand has surged exponentially (e.g., Nvidia’s GB300 platform requires 30,000 MLCCs per unit). Selection accuracy directly determines product reliability and cost control.

This document integrates our factory’s 12 years of industry experience and latest tested data to provide actionable, ready-to-implement selection solutions.

2. MLCC Usage in 3 Core Scenarios (2026 Tested Data)

Application Scenario	MLCC Quantity per Unit	Core Pain Points	Our Matching Product Series
AI Servers (Rack-Scale)	20,000 – 440,000 units	High Capacitance, High Frequency, Low ESR	HC Series (100μF/0402 Package)
Battery Electric Vehicles	18,000 – 25,000 units	High Temperature Resistance, Vibration Resistance, Long Lifespan	AE Series (AEC-Q200 Certified)
Consumer Electronics	1,000 – 3,000 units	Miniaturization, Low Cost, High Consistency	MS Series (Full 01005 Range)

Key Data Insight

AI servers require 10x more MLCCs than standard servers, with high-capacity products (≥10μF) accounting for over 60%. Our HC Series meets Murata’s equivalent test standards, featuring a capacitance deviation of ≤±5% (industry average: ±10%).

3. Key Parameter Selection Table (Pitfall Avoidance)

Selection Dimension	Recommended Solution	Our Technical Advantages	Consequences of Wrong Selection
Dielectric Material	X8R (-55℃~150℃) for AI Servers	Self-developed BaTiO3@SiO2 core-shell structure; dielectric constant >5,000	Over 30% capacitance attenuation at high temperatures
Package Size	0201-0603 for NEVs	Mass production of full range (01005-2220 packages) – aligned with Sanshun Group’s capacity scale	Solder joint detachment under vibration
Voltage Rating	≥50V for Powertrain Systems	20% breakdown voltage margin for medium-voltage products	Short circuit due to reduced insulation resistance

4. Domestic MLCC Replacement Recommendations

4.1 Medium-Voltage Industrial Scenarios

Replacement Target: Murata GRM Series

Our Advantage: 30% direct cost reduction; lead time shortened from 20 weeks to 8 weeks

Application Case: Mass-applied in PV inverters

4.2 Automotive Electronics Scenarios

Replacement Target: Murata GCM Series (Automotive-Grade)

Our Advantage: AE Series holds IATF16949 certification; entered BYD/NIO supply chains; capacitance stability at 125℃ exceeds industry standards by 15%

Application Case: NEV powertrain systems