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Karthik Saikumar

Publications and source records attributed to Karthik Saikumar.

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From Range Loss to Recovery -- Cold Weather Challenges and Design Strategies for Commercial Electric Vehicle Fleets

The North American commercial electric vehicle (EV) sector is undergoing rapid expansion, with unit sales rising from 21,120 in 2022 to 36,491 in 2023 - a 73% increase, according to the International Energy Agency. However, this accelerating adoption brings emerging technical challenges. One critical concern is the impact of low to extreme winter temperatures (25 degree F to -25 degree F) on EV performance, including reduced energy efficiency and extended charging times. This paper presents a systematic analysis of commercial EV performance degradation under cold weather conditions and its broader implications on grid operations. Monte Carlo simulations, applied using real-world fleet parameters, indicate that approximately 200 MWh of additional daily energy demand may be required in the U.S. alone to offset efficiency losses during severe cold events. The resulting strain on an already stressed winter grid could exacerbate reliability risks. Moreover, increased harmonic distortion associated with cold weather charging behaviors has also been observed, raising concerns about power quality. To address these challenges, this study proposes two practical mitigation strategies: (1) a 'design-integrated safety' battery swapping station model operating in thermally controlled environments to significantly reduce charging downtime, and (2) a hybrid architecture combining roadside fast charging with depot-based deep charging to support continuous fleet utilization without compromising range. Together, these interventions provide a robust foundation for resilient commercial EV integration in cold climates, supporting fleet operators and utilities in managing seasonal performance variability.

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A Verifiable Framework for Cyber-Physical Attacks and Countermeasures in a Resilient Electric Power Grid

In this paper, we investigate the feasibility and physical consequences of cyber attacks against energy management systems (EMS). Within this framework, we have designed a complete simulation platform to emulate realistic EMS operations: it includes state estimation (SE), real-time contingency analysis (RTCA), and security constrained economic dispatch (SCED). This software platform allowed us to achieve two main objectives: 1) to study the cyber vulnerabilities of an EMS and understand their consequences on the system, and 2) to formulate and implement countermeasures against cyber-attacks exploiting these vulnerabilities. Our results show that the false data injection attacks against state estimation described in the literature do not easily cause base-case overflows because of the conservatism introduced by RTCA. For a successful attack, a more sophisticated model that includes all of the EMS blocks is needed; even in this scenario, only post-contingency violations can be achieved. Nonetheless, we propose several countermeasures that can detect changes due to cyber-attacks and limit their impact on the system.

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