Assessment of Lithium-Ion Battery Degradation in Electric Aircraft Under a Cycle-Progressive Load Profile 核心 · 已核验
doi:10.21227/mnfd-2w14
"The electrification of aviation is a key step toward reducing emissions, yet uncertainties remain surrounding the long-term behavior of electric aircraft batteries. Conventional degradation testing often relies on fixed profiles that fail to capture the relationship between cell aging and auxiliary power demands. To address this gap, this study experimentally introduces a cycle-progressive load profile, which incrementally increases simulated system power demands to reflect the rising demands of aging of batteries on the active battery thermal management system. Representative flight load profiles for an electric conventional takeoff and landing aircraft and an electric vertical takeoff and landing aircraft were generated using the RCAIDE modeling framework and applied to 24 Molicel P30B lithium-ion cells over 1000 flight cycles. Results show that cycle-progressive profiles accelerate degradation compared to fixed profiles, with up to 22.1\\% higher state-of-health loss and distinct shifts in incremental capacity signatures. To extend the work, a physics-based PyBaMM model was optimally parameterized to simulate cycle-progressive behavior and predict end-of-life under replicated mission scenarios. These findings highlight the importance of testing protocols that incorporate the coupled effects of aging and system power demand, hopefully leading to more realistic assessment of battery systems in electric vehicles."
- 落地页
- https://ieee-dataport.org/documents/assessment-lithium-ion-battery-degradation-electric-aircraft-under-cycle-progressive-load
- 许可证
- CC-BY-4.0 (判读置信:inferred)
- 国内可访问性
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国内直连:可达 (2026-07-11 检测)
代理通道:可达 (2026-07-11 检测)
检测口径:lychee 双通道单轮探测;「直连超时」表示检测窗口内未完成,系慢或不稳定证据,不构成封锁证据。 - 设备类型
battery- PHM 任务
health_state_assessmentrul_prediction
故障工况
| fault_type: capacity_fade |
运行工况
| condition_type: load |
溯源(PROV,7 条)
| source_url: https://ieee-dataport.org/documents/assessment-lithium-ion-battery-degradation-electric-aircraft-under-cycle-progressive-loadsource_citation: quarry_mining_pool datacite#10.21227/mnfd-2w14retrieved_on: 2026-07-09asserted_by: automated_harvestnote: 反向挖掘 v3(KLS-018,词表圈选+全量人工复核):level=L0 score=0.25;候选区,晋升需人工核验 |
| about_field: equipment_typessource_citation: graphrag 抽取自论文 doi:10.21227/mnfd-2w14(model=glm-5.2, temperature=0)retrieved_on: 2026-07-10asserted_by: automated_extractionconfidence_level: grounded_nativenote: values: battery;候选区,晋升需人工核验(ADR-26) |
| about_field: fault_conditionssource_citation: graphrag 抽取自论文 doi:10.21227/mnfd-2w14(model=glm-5.2, temperature=0)retrieved_on: 2026-07-10asserted_by: automated_extractionconfidence_level: grounded_nativenote: values: capacity_fade;候选区,晋升需人工核验(ADR-26) |
| about_field: operating_conditionssource_citation: graphrag 抽取自论文 doi:10.21227/mnfd-2w14(model=glm-5.2, temperature=0)retrieved_on: 2026-07-10asserted_by: automated_extractionconfidence_level: grounded_nativenote: values: load;候选区,晋升需人工核验(ADR-26) |
| about_field: taskssource_citation: graphrag 抽取自论文 doi:10.21227/mnfd-2w14(model=glm-5.2, temperature=0)retrieved_on: 2026-07-10asserted_by: automated_extractionconfidence_level: grounded_nativenote: values: health_state_assessment, rul_prediction;候选区,晋升需人工核验(ADR-26) |
| about_field: source_citation: 人工核验:zfbin(委托批准 2026-07-10)retrieved_on: 2026-07-10asserted_by: human_curatorconfidence_level: human_verifiednote: 晋升核心区。晋升批次 05:KLS-018 挖掘池卡,逐卡逐断言对照自述核验(evidence/KLS-016/08) |
| about_field: china_accessibilitysource_citation: KLS-009 链接健康扫描(lychee 双通道)retrieved_on: 2026-07-11asserted_by: automated_harvestnote: 定期刷新标注,仅覆盖本字段;历史结果以最新扫描为准 |