充电设施的合理规划对促进电动汽车的大规模推广有着至关重要的意义。为满足日益增长的电动汽车充电需求，除依靠政府侧的支持外，吸引更多的第三方资本对充电设施进行投资建设已成为必然趋势。然而，现有研究大多都是从假定的社会规划者的角度出发，而针对私人投资者的充电设施规划方法仍较匮乏。 为填补这一空白，本文从营利性私人投资者的视角研究了在不同应用场景下的电动汽车充电设施规划问题。从目标客群的电动汽车类别（乘用/商用车）和充电需求属性（目的地/沿途充电）两个维度对规划场景进行划分，着重刻画了不同场景下投资者与客户和/或竞争者之间的互动方式，并提出针对性的设施规划方案。 1）针对服务于乘用车的快速充电站，从即将进入充电服务市场的私有投资者的角度，提出了考虑现有充电站影响的增量规划方法。按照所适用的充电服务市场发展阶段，所提方法可进一步分为两部分：对于仍处于增长期的市场，考虑静态竞争环境，着重研究了私营投资者规划方案与社会规划者方案的差异；对于处于成熟期的市场，建立了站点间的有限容量价格博弈模型，并分析了其均衡特性，阐明了价格响应对规划策略的影响。 2）针对服务于乘用车的目的地充电设施，提出了一种兼顾电动汽车充电、泊车双重需求与用户随机行为的停车场规划方法。一方面，考虑场站与电网互动，通过优化不同服务模式下的充电及停车收费标准引导用户决策，降低场站购电成本；另一方面，通过引入移位措施，实现了场站能量管理与空间管理的协同，最终有效提高了停车场的整体空间利用率，降低了投资运行综合成本。 3）针对服务于商用车的快速充电站，以物流运输电气化转型为典型场景，提出了一种考虑设施投资方与车队所有者利己特性的电动物流车队-充电网络联合规划方法。通过建立斯塔克尔伯格博弈模型，研究了二者的互动关系，分析了服务时间窗、充电速率等关键指标对规划结果的影响。在建模层面，提出了一种新型的部分时间扩展网络模型；在计算层面，设计了一种双回路算法架构对模型进行求解。 本文弥补了对私营充电设施规方法研究的不足，对未来充电服务商的投资策略制定以及充电服务市场的发展有着重要的指导意义。

Proper deployment of charging facilities (CFs) is of crucial importance in promoting the large-scale adoption of electric vehicles (EVs). Aside from concerted efforts of governments, attracting more private investors to serve the ever-growing EV population becomes an inevitable trend. However, the majority of existing literature assumes the existence of a social planner in a spatial monopoly market who builds infrastructures to maximize social welfare. Research on CF planning methods for self-interested private investors is scarce. To fill this gap, this dissertation investigates the optimal public charging facility planning problem from a for-profit private investor's perspective under various application scenarios. Specifically, the scenarios are classified according to the type of targeted EV customers (being electric passenger vehicles or electric commercial vehicles) and the characteristic of their charging demands (being destination charging or en-route charging). Main efforts have been made on characterizing the strategic interactions between the investor and the customers and/or competitors under different contexts and incorporating such interactions into the planning strategy design. The main contributions include 1) Planning fast charging stations to serve electric passenger vehicles: This part proposes the fast charging station (FCS) deployment methodology for an entrant company in a tapped market environment. The proposed methodology encompasses both the case when the EV charging market is in the growth stage and when it is mature. For the former, a static competition environment is assumed with the main focus given to understanding the difference between the centralized planning strategy and that carried out by a self-interested investor. For the latter, non-cooperative game theory is used to characterize the complex interactions between all FCSs in competing for the market share. Conditions for the existence and uniqueness of the pricing game are presented with detailed proofs. Simulation results revealed the dependency between FCSs' spatial characteristics and their power on price setting. Understanding such behaviors of profit-oriented nature of players is valuable for both the investors themselves and the regulators as well. 2) Planning the parking lot to serve electric passenger vehicles: A novel planning method is proposed to optimally design the layout of a public parking lot considering users' stochastic strategic behaviors. The proposed method recognizes not only the energy demand of EVs but also their needs for parking, thus the number of chargers and parking spaces are jointly optimized. The method innovatively combines monetary incentives and space-swapping operations to achieve better operation and planning performances. Specifically, the former is realized via designing differentiated service-price menus to implicitly guide the users' behaviors and the latter physically helps to coordinate the charging process control and the inner parking lot space management. Overstay penalty and demand charge cost are also taken into account. This model is tested to be effective in improving the facility utilization rate to a greater extent and realizes overall cost-saving. 3) Planning fast charging stations to serve electric commercial vehicles: Taking the electric transition of logistic fleets as a representative, this part provides a systemic solution to the (i) electrified truck fleet design, and (ii) the FCS network planning problem. The proposed method, for the first time, considers these two parts being owned by separate self-optimizing entities with conflicting interests. A Stackelberg game is established to capture the strategic interactions in between. A novel system model named partial time expanded network is also proposed to reduce the complexity of the mathematical formulation, whereas the computation burden is relieved with a customized double-loop solution scheme. Numerical studies reveal the distinctive natures of the planning outcomes in the centralized and non-cooperative scenarios. This dissertation fills the gap in designing effective planning methods for private investors. It also provides a systematic tool to facilitate the wise decision-making of facility owners and has important guiding significance for the future development of the charging service market.