Reliability Expert for Energy Storage Battery System
Ampace
Ampace (???) is a global battery-technology company specializing in lithium-ion cells and systems for energy storage, data centers, and critical power. Our R&D pairs advanced cell chemistry with semi-solid-state technology to deliver safe, high-performance batteries at scale. This position is based at our R&D center in Xiamen, China.
Scroll down for a complete overview of what this job will require Are you the right candidate for this opportunity
Responsibilities:
- Build a cell-to-system reliability simulation framework coupling electrochemical, thermal, mechanical, aging, and system-condition analysis.
- Develop life and degradation models covering capacity fade, resistance growth, balancing failure, thermal-runaway risk, and consistency degradation.
- Identify, calibrate, and validate model parameters against lab, test, and field data, with uncertainty analysis.
- Build digital-twin and surrogate models for life prediction, risk early-warning, and design optimization.
- Support reliability assessment and accelerated-life-test design from cell to module, pack, and container level.
- Partner with R&D, test, quality, process, and product teams to turn simulation results into design rules.
Requirements:
- PhD in reliability engineering, electrochemistry, materials, mechanical, automation, thermal, or computational modeling.
- Experience in Li-ion or energy-storage reliability, life modeling, degradation mechanisms, thermal safety, or multiphysics simulation.
- Familiarity with at least one modeling method: equivalent-circuit, single-particle, P2D/DFN, thermal, mechanical, or system-level simulation.
- Ability to connect battery testing, BMS data, operating conditions, and failure modes into mechanistic insight.
- Strong English research and technical communication for work with global teams.
Preferred:
- Cross-scale, cell-to-system modeling experience; UPS energy-storage project experience.
- Machine learning, Bayesian inference, digital-twin, or uncertainty-quantification experience.
- Background with a recognized reliability-engineering platform such as Maryland CALCE / CRR; patents, publications, or standards work.
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- ???????????????????,??????????????????????????????????? xhyhwjd
- ?????????????(Surrogate Model),????????????????????
- ????????????,????????(ECM)??????(SPM)?P2D/DFN???????????????????????
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- ???????(Cell to System)???????,?UPS??????????????
- ????????????????????????(Uncertainty Quantification)?????????
- ?????????????(? Maryland CALCE?CRR)??????,???????????????????????
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