臺灣博碩士論文加值系統

全球石油價格高漲已成為長期趨勢，各大車廠紛紛投入新能源車輛研發。電動車雖具有零排放汙染的優點，但因為電池能量密度不足的問題，車輛行駛距離經常受到限制。增程式電動車由於搭載了引擎發電機模組的增程器，可增加行駛續航力，許多車廠將其視為解決目前電動車續航力不足問題的短期替代方案。本文利用等效油耗最小策略設計一個適應性能量管理控制策略，以便針對不同行車型態，皆可有效減少燃油消耗。駕駛者只需要提供大約的預計行駛里程數，即可訂出電池SOC放電參考命令軌跡，接著利用自組織模糊控制器適應性調整等效因子，以將電力的使用轉換為等效燃油消耗量，並針對所有的瞬時油耗成本函數進行最佳化搜尋，以找出引擎發電機模組與電池之間最佳的電力分配。模擬結果顯示本文所提出的方法可以有效改善油耗經濟性，並可減少電池的平均充放電功率。

The increase of oil price has become a global long-term trend. Major automotive manufactures started to put more resource in the research and development of new energy vehicles. Electric vehicle (EV) has the advantage of zero missions. However, its cruising distance is often limited due the insufficient battery energy density. Range extended electric vehicle (REEV) can extend its cruising distance by using the range extender which consists of engine and generator, i.e. genset. Thus, range extender is considered as a short term alternative solution to solve the current problem of insufficient cruising distance of EV. For a given driving pattern, equivalent fuel consumption minimization will be used to design the proposed adaptive power management control strategy, such that fuel consumption can be effectively reduced for different driving patterns. Driver only needs to provide the approximate estimation of the traveling distance to plan the reference SOC trajectory for discharging the battery. Self-organizing fuzzy controller will be used to adaptively adjust the equivalence factor which is used to convert the electric power usage to equivalent fuel consumption. A cost function of instantaneous fuel consumption is minimized to obtain the optimum power split between the genset and battery. Simulation results show that the proposed algorithm can improve the fuel economy and reduce the average charging/discharging power of the battery.

中文摘要 i
英文摘要 ii
誌 謝 iv
目 錄 v
表目錄 vi
圖目錄 vii
第一章 緒論 1
1.1研究背景與動機 1
1.2文獻回顧 4
1.3研究目的 7
第二章 系統動態模型 9
2.1系統架構 9
2.2引擎發電機模組模型 10
2.3驅動馬達模型 12
2.4電池模型 13
2.5傳動系統模型 17
2.6車輛動態模型 17
第三章 控制策略 19
3.1動力分配模式 19
3.2動力追隨控制策略 21
3.3適應性能量管理控制策略 23
3.4引擎發電機模組動力控制 32
第四章 模擬結果 35
4.1電池模型模擬 35
4.2基本性能模擬 36
4.3引擎發電機模組控制 37
4.3 NEDC行車型態測試 39
4.4 FTP行車型態測試 45
4.5 IM240行車型態測試 51
4.6結果比較與分析 56
第五章 結論與未來展望 57
參考文獻 59
符號彙整 61

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