Charging The Net: Social Activism in Women's Professional Tennis

This dissertation is an analysis of social activism within women’s professional tennis. In the 46 years since the women known as the Original 9 began protesting against the pay inequality between men’s and women’s tennis, subsequent cohorts of women have brought different issues and concerns to women’s tennis, expanding its scope and efforts.  Using qualitative research, including interviews with former players and press conference participation at tournaments to access current players, this study shows the lineage of social activism within women’s tennis and the issues, expressions, risks and effects of each cohort. Intersectionality theoretically frames this study, and analyses of performativity appears regularly. Each generational cohort is a chapter of this study. The Original 9 of the Movement Cohort fought for equal prize money. The Bridge Cohort, the era of Evert and Navratilova, continued the Movement Cohort’s push for equal prize money; however, they also ushered in identity politics (including gender, sexuality, and nationality, but with the notable exception of race). The Professional Cohort, the current era, followed the Bridge Cohort and is characterized by its focus on corporatization and mass-marketing. As such, there is a focus among the players on individualism which can seem like a lack of social activism is occurring. However, race, neglected during the Bridge Cohort, emerged during the Professional Cohort. The individualism of this cohort made space for Blackness to show unapologetically, though, within certain constraints. Finally, a few players are working on social justice issues in society at large, as well as trying to institute change within women’s tennis. These players make up the Post-Professional Cohort (or, as Pam Shriver from the Bridge Cohort calls them, “Bridge Throwbacks”).  This study shows the evolution of social activism within women’s tennis, as it reflects larger social change. Though bound together as one unified body, the social activism engaged in by each generation focused on different issues, making each generational cohort distinct from the whole of women’s professional tennis.

Energy Management of a Battery-Ultracapacitor Hybrid Energy Storage System in Electric Vehicles

Electric vehicle (EV) batteries tend to have accelerated degradation due to high peak power and harsh charging/discharging cycles during acceleration and deceleration periods, particularly in urban driving conditions. An oversized energy storage system (ESS) can meet the high power demands; however, it suffers from increased size, volume and cost. In order to reduce the overall ESS size and extend battery cycle life, a battery-ultracapacitor (UC) hybrid energy storage system (HESS) has been considered as an alternative solution. In this work, we investigate the optimized configuration, design, and energy management of a battery-UC HESS. One of the major challenges in a HESS is to design an energy management controller for real-time implementation that can yield good power split performance. We present the methodologies and solutions to this problem in a battery-UC HESS with a DC-DC converter interfacing with the UC and the battery. In particular, a multi-objective optimization problem is formulated to optimize the power split in order to prolong the battery lifetime and to reduce the HESS power losses. This optimization problem is numerically solved for standard drive cycle datasets using Dynamic Programming (DP). Trained using the DP optimal results, an effective real-time implementation of the optimal power split is realized based on Neural Network (NN). This proposed online energy management controller is applied to a midsize EV model with a 360V/34kWh battery pack and a 270V/203Wh UC pack. The proposed online energy management controller effectively splits the load demand with high power efficiency and also effectively reduces the battery peak current. More importantly, a 38V-385Wh battery and a 16V-2.06Wh UC HESS hardware prototype and a real-time experiment platform has been developed. The real-time experiment results have successfully validated the real-time implementation feasibility and effectiveness of the real-time controller design for the battery-UC HESS. A battery State-of-Health (SoH) estimation model is developed as a performance metric to evaluate the battery cycle life extension effect. It is estimated that the proposed online energy management controller can extend the battery cycle life by over 60%.