Battery EMI/EMC
Ansys offers a state-of-the-art battery system EMI/EMC simulation solution that seamlessly combines frequency and time domain simulation.
ANSYS APPLICATIONS
Battery Electromagnetic Interference (EMI) Simulation Testing and Design
High-frequency EMI noises can cause crosstalk between a high-voltage power circuit in a battery array and a low-voltage control circuit in a battery management system. Electromagnetic simulation can be used to predict electromagnetic interference (EMI) emissions and susceptibility early in the battery design process or be used to conduct root cause analysis for existing EMI challenges in a battery system. These predictions and analysis can help optimize the EMI filter design and reduce hardware testing costs for compatibility tests.
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Early Detection and Mitigation of EMI Noises Before Battery Production
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EMI Noise Prediction and System Level Virtual Compatibility Testing
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EMI Filter Design and Optimization for Battery Systems
Battery Cell Modeling
EIS data-based battery cell/module modeling can convert frequency domain testing data into a time domain battery impedance model.
System Level Modeling
System level virtual compatibility testing can be used for virtual testing of compatibility standards or be used for root cause analysis of real EMI challenges for existing product.
Parasitic Component Modeling
FEA-based battery parasitic modeling can extract parasitic elements of battery package components using geometric information and material properties.
Featured Products
Ansys Q3D Extractor는 전자 제품의 주파수 의존 저항, 인덕턴스, 캐패시턴스 및 컨덕턴스(RLCG)의 기생 파라미터를 계산합니다.
- 솔리드 모델링
- 전원/신호 무결성 분석
- 다양한 추출 유형
- 자동 적응형 메시 미세화
Ansys Twin Builder는 시뮬레이션 기반 시스템과 디지털 트윈을 구축, 검증 및 배포하기 위한 강력한 솔루션입니다.
- 디지털 트윈 구축, 검증 및 적용
- 디지털 트윈 모델로 실제 데이터 통합
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- 적용된 시스템의 가상 프로토타입
- 디지털 트윈을 사용한 고급 자산 관리
- Ansys 시스템 수준의 시뮬레이션 노하우
Vehicle Applications for Electromagnetic Interference (EMI) Modeling
Ansys delivers the resources you need to test for EMI within the automotive industry. This modeling and analysis workflow has been recognized as a critical puzzle piece for developing next-generation vehicle applications.
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