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插电式电动汽车行动工具
To share information and best practices on PEV deployment and define the role of state DOTs, the Washington State Department of Transportation initiated a Federal Highways Administration transportation pooled fund study, TPF-5(250) on strategies and best practices to support PEV and charging infrastructure commercialization. Representatives from seven other state transportation departments (Arizona, California, Georgia, North Carolina, Ohio, Oregon, and Wisconsin), Federal Highways Administration, and various other local and states entities (Siskiyou County, Oregon Governors Office, City of Raleigh, and California Energy Commission) participated in two workshops in Berkeley, CA and Raleigh, NC in March and June 2012, respectively. The Plug-in Electric Vehicle Action Tool is the synthesis of the workshops as well as previous research conducted by the Center for Climate and Energy Solutions (C2ES). The purpose of the Action Tool is to help state DOTs determine their goals for PEV deployment and to chart out a path for reaching those goals. The Action Tool is also a resource for learning about PEVs and best practices from other state agencies. Although state DOTs are the primary audience, many of the suggested actions and resources in the tool are applicable to other public entities such as local governments and other state agencies.
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飞行器复合控制方法
Advantages of sliding mode control (SMC). It is well known that SMC is a robust method to control nonlinear and uncertain systems which has attrac-tive features to keep the system insensitive to the uncertainties on the sliding surface. The conventional SMC design approach consists of two steps. First, a sliding manifold is designed such that the system trajectory along the man-ifold acquires certain desired properties. Then, a discontinuous controller is designed such that the system trajectories reach the manifold in finite time. As a general design tool for control systems, SMC has been well established, and the primary advantages of which are: Ⅰ) fast response and good transient performance; Ⅱ) robustness against a large class of perturbations or model uncertainties; and Ⅲ) the possibility of stabilizing some complex nonlinear systems which are difficult to be stabilized by continuous state feedback laws.
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克服电动汽车的部署障碍——中期报告
This report focuses on the light-duty vehicle sector in the United States and restricts its discussion of electric vehicles to plug-in electric vehicles (PEVs), which include battery electric vehicles (BEVs)1 and plug-in hybrid electric vehicles (PHEVs). The common feature of these vehicles is that their batteries are charged by being plugged into the electric grid. BEVs differ from PHEVs because they operate solely on electricity stored in a battery (that is, there is no other power source); PHEVs have internal combustion engines that can supplement the electric power train. The electric vehicle offers many promisesincreasing U.S. energy security by reducing petroleum dependence, contributing to climate-change initiatives by decreasing greenhouse gas (GHG) emissions, stimulating long-term economic growth through the development of new technologies and industries, and improving public health by improving local air quality. There are, however, substantial technical, social, and economic barriers to widespread adoption of electric vehicles, including vehicle cost, small driving range, long charging times, and the need for a charging infrastructure. In addition, people are unfamiliar with electric vehicles, are uncertain about their costs and benefits, and have diverse needs that current electric vehicles might not meet. Although a person might derive some personal benefits from ownership, the costs of achieving the social benefits, such as reduced GHG emissions, are borne largely by the people who purchase the vehicles. Given the recognized barriers to electric-vehicle adoption, Congress asked the Department of Energy (DOE) to commission a study by the National Academies to address market barriers that are slowing the purchase of electric vehicles and hindering the deployment of supporting