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Christopher R. Lashway

Researcher at Florida International University

Publications -  29
Citations -  589

Christopher R. Lashway is an academic researcher from Florida International University. The author has contributed to research in topics: Battery (electricity) & Voltage. The author has an hindex of 11, co-authored 29 publications receiving 430 citations. Previous affiliations of Christopher R. Lashway include Pennsylvania State University.

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A Review of Communication Failure Impacts on Adaptive Microgrid Protection Schemes and the Use of Energy Storage as a Contingency

TL;DR: In this paper, the authors present a review of the technical challenges for the use of classical protection techniques and the need for an enhanced, adaptive, smart protection system in the case of communication link failures and cyber security threats.
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Modeling and Feasibility Analysis of Quasi-Dynamic WPT System for EV Applications

TL;DR: In this article, a new bidirectional wireless power transfer (WPT) charging and discharging concept is analyzed for its feasibility in integration at traffic signals, where a string of coils are proposed to be installed beneath the road surface to provide grid-tovehicle and vehicle-to-grid (V2G) services to battery electric vehicles (BEVs) while stopped.
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Hybrid Energy Storage Sizing and Power Splitting Optimization for Plug-In Electric Vehicles

TL;DR: The formulation of a multi-objective optimization problem (MOOP) to optimally size a battery unit (BU) ultracapacitor (UC) hybrid energy storage system (HESS) for plug-in electric vehicle (EV) resulted in sizing of an HESS with lower cost, volume, and weight than those existing in literature.
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Hybrid energy storage management in ship power systems with multiple pulsed loads

TL;DR: In this article, three series-configured hybrid energy storage systems (HESSs) are mathematically modeled, evaluated, and tested experimentally, and the validity of the derived model and controller were validated experimentally through a hardware setup simulating a multiuser load SPS profile.
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Advanced Battery Management and Diagnostic System for Smart Grid Infrastructure

TL;DR: The proposed BMS continuously monitors the voltage, current, and energy of each battery and can calculate individual state of charge (SoC) levels and C-rates, and has the capability to isolate each individual battery to apply different charging profiles and advanced diagnostics to detect the correct problems.