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[資源]
推薦兩篇2012年發(fā)表的關(guān)于PHEV的文章
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In a laboratory environment, it is cost prohibitive to run automotive battery aging experiments across a wide range of possible ambient environment, drive cycle, and charging scenarios. Because worst-case scenarios drive the conservative sizing of electric-drive vehicle batteries, it is useful to understand how and why those scenarios arise and what design or control actions might be taken to mitigate them. In an effort to explore this problem, this paper applies a semi-empirical life model of the graphite/nickel-cobaltaluminum lithium-ion chemistry to investigate calendar degradation for various geographic environments and simplified cycling scenarios. The life model is then applied to analyze complex cycling conditions using battery charge/discharge profiles generated from simulations of plug-in electric hybrid vehicles. Drive cycle statistics impacting battery life are compared to standard test cycles. |
鋰電資源共享 | 電化學(xué)-電池材料 | 納米技術(shù)與能源及模擬 | 鋰離子電池專題(技術(shù)答疑) |
先進(jìn)材料 | 電化學(xué)精華 | 西門等人 | WJW科研之路 |
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