モータ廃熱回収とモデル予測制御を統合したバッテリー電気自動車の熱マネジメント
Integrated Thermal Management for Battery Electric Vehicles with Motor Waste Heat Recovery and Model Predictive Control (原題)
Tang Fushen, xujinjin, Su Likai, Du Ruijie
🤖 gxceed AI 要約
日本語
本研究は、バッテリー電気自動車向けに統合熱マネジメントシステムを開発し、AMESimで夏期冷房・冬期暖房・定速走行の各条件を評価した。統合冷却は電池と車室を同時に考慮するとSOCを約5%余分に消費する一方、エネルギー優先時は電池優先戦略が最適だった。冬期はモータ廃熱回収(WHR)で約1.5kWの熱を再利用でき、-10℃で予熱時間を約200秒短縮。WHRとMPCの併用で最終SOCが2.24〜3.57%向上し、航続距離は約36.5〜41.9%延伸した。
English
This study develops an integrated thermal management system for battery electric vehicles, evaluated in AMESim across summer cooling, winter heating, and constant-speed driving. Integrated cooling costs ~5% extra SOC when serving both battery and cabin, while a battery-priority strategy is optimal under energy-priority operation. In winter, motor waste heat recovery (WHR) supplies ~1.5 kW of reusable heat, cutting preheating time by ~200 s at -10°C. Combining WHR with model predictive control raises final SOC by 2.24–3.57% and extends range by ~36.5–41.9%.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
EV航続距離と冬季性能は日本の自動車産業の競争力と電動化政策に直結する。熱マネジメントと廃熱回収は、寒冷地での実用性向上を通じてEV普及と運輸部門の脱炭素に寄与し、日本メーカーの技術優位性確保に示唆を与える。
In the global GX context
Transport electrification is central to global decarbonization pathways and corporate Scope 3 reduction. This work advances EV efficiency and cold-climate range—key barriers to adoption—offering engineering evidence relevant to automotive OEMs and fleet decarbonization strategies worldwide.
👥 読者別の含意
🔬研究者:EV熱マネジメントとMPC・廃熱回収の統合設計に関する定量的ベンチマークを提供する。
🏢実務担当者:寒冷地でのEV航続改善とSOC消費低減に向けた熱管理戦略の設計指針として活用できる。
🏛政策担当者:運輸部門脱炭素とEV普及促進策において、寒冷地性能や効率基準の設計に示唆を与える。
📄 Abstract（原文）
This study developed an integrated thermal management system for battery electric vehicles and evaluated its performance using AMESim under conditions of summer cooling, winter heating, and constant speed driving. The refrigerant circuit, battery, cabin, engine model, coolant circulation, and vehicle power system are combined with rules and predictive controllers. Three heat dissipation strategies: battery priority. A comparison was made between in car priority cooling and integrated cooling at ambient temperatures of 20, 30, and 40 ° C. The results showed that integrated cooling would consume an additional 5% SOC to simultaneously consider the battery and passenger compartment. If an energy consumption priority system is given, the battery priority heat dissipation strategy is the best. Under winter conditions, the motor waste heat recovery (WHR) system can provide approximately 1.5 kilowatts of reusable electrical thermal energy. At -10 ° C, the battery preheating time is shortened by approximately 200 seconds and SOC consumption is reduced. Model predictive control (MPC) predicts the future component temperature and adjusts the switch state in advance, thereby mitigating errors caused by delays. Compared with independent PTC heating, the joint strategy of WHR-MPC increased the final SOC by 2.24% -3.57% and extended the expected range of range by approximately 36.54% -41.90% above the survey target ambient temperature range.
🔗 Provenance — このレコードを発見したソース
- scidb https://doi.org/10.57760/sciencedb.014k0first seen 2026-10-08 06:05:48 · last seen 2026-10-10 06:17:32
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