Youngki Kim

Papers

Total Citations

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About

Youngki Kim is a leading researcher in the field of electrified vehicle energy management, with a primary focus on optimizing powertrain control systems for maximum efficiency. His work centers on the critical intersection of regenerative braking, velocity trajectory optimization, and road grade awareness, addressing the fundamental challenge of extending the range of electric and hybrid vehicles. Kim’s major contributions include the application of Pontryagin’s Maximum Principle (PMP) to derive optimal speed profiles for electrified powertrains, demonstrating how route information—particularly varying road grades—can be leveraged to significantly reduce energy consumption. His research on the role of regenerative braking in velocity trajectory optimization has provided foundational insights for developing more intelligent, predictive control strategies. While his most-cited works, including his 2018 papers on energy-efficient speed profiles and regenerative braking optimization, have each garnered 2 citations, their technical depth and practical relevance to the automotive industry signal a growing impact. Kim’s work is essential reading for researchers and engineers seeking to push the boundaries of sustainable transportation through advanced control system synthesis and nonlinear optimization.