9Electric vehicles enable clean and efficient transportation, however concerns about range anxiety 10 and battery degradation hinder EV adoption. The common definition for battery end-of-life is 11 when 70-80% of original energy capacity remains, however little analysis is available to support 12 this retirement threshold. By applying detailed physics-based models of EVs with data on how 13 drivers use their cars, we show that EV batteries continue to meet daily travel needs of drivers 14 well beyond capacity fade of 80% remaining energy storage capacity. Further, we show that EV 15 batteries with substantial energy capacity fade continue to provide sufficient buffer charge for 16 unexpected trips with long distances. We show that enabling charging in more locations, even if 17 only with 120V wall outlets, prolongs useful life of EV batteries. Battery power fade is also 18 examined and we show EVs meet performance requirements even down to 30% remaining 19 power capacity. Our findings show that defining battery retirement at 70-80% remaining 20 capacity is inaccurate. Battery retirement should instead be governed by when batteries no longer 21 M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT satisfy daily travel needs of a driver. Using this alternative retirement metric, we present results 22 on the fraction of EV batteries that will be retired with different levels of energy capacity fade. 23 24 Key Words: electric vehicles, battery degradation, capacity fade, power fade, battery second 25 life, battery retirement 26

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The nutritional supplement provides protection against the development of UVA-induced PLE lesions at clinical and molecular levels.

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A 6-month supplementation with omega 3&6 and antioxidants acts efficiently against hair loss in improving hair density and reducing the telogen percentage and the proportion of miniaturized anagen hair. Objectively measured improvements were confirmed by the subjects' perception of efficacy.

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This paper presents a predictive controller for handling plug-and-play (P&P) charging requests of flexible loads in a distribution system. We define two types of flexible loads: (i) deferrable loads that have a fixed power profile but can be deferred in time and (ii) shapeable loads that have flexible power profiles but fixed energy requests, such as Plug-in Electric Vehicles (PEVs). The proposed method uses a hierarchical control scheme based on a model predictive control (MPC) formulation for minimizing the global system cost. The first stage computes a reachable reference that trades off deviation from the nominal voltage with the required generation control. The second stage uses a price-based objective to aggregate flexible loads and provide load shaping services, while satisfying system constraints and users' preferences at all times. It is shown that the proposed controller is recursively feasible under specific conditions, i.e. the flexible load demands are satisfied and bus voltages remain within the desired limits. Finally, the proposed scheme is illustrated on a 55 bus radial distribution network.