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Simona Onori

Researcher at Stanford University

Publications -  183
Citations -  6215

Simona Onori is an academic researcher from Stanford University. The author has contributed to research in topics: Battery (electricity) & Energy management. The author has an hindex of 36, co-authored 161 publications receiving 4625 citations. Previous affiliations of Simona Onori include Clemson University & University of New Mexico.

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A Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles

TL;DR: In this article, the authors present a formalization of the energy management problem in hybrid electric vehicles and a comparison of three known methods for solving the resulting optimization problem: dynamic programming, Pontryagin's minimum principle (PMP), and equivalent consumption minimization strategy (ECMS).
Proceedings ArticleDOI

ECMS as a realization of Pontryagin's minimum principle for HEV control

TL;DR: An analytical derivation of the Equivalent Consumption Minimization Strategy (ECMS) for energy management of hybrid electric vehicles (HEVs) is presented, based on Pontryagin's minimum principle, valid for any powertrain architecture.
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Cloud-Based Velocity Profile Optimization for Everyday Driving: A Dynamic-Programming-Based Solution

TL;DR: The optimization of the speed trajectory to minimize fuel consumption and communicate it to the driver is discussed and the solution is generic, and it is applicable to any kind of powertrain structure.
Proceedings ArticleDOI

Lithium-ion batteries life estimation for plug-in hybrid electric vehicles

TL;DR: In this paper, an aging model based on the concept of accumulated charge throughput was developed to estimate battery life under "real world" driving cycles (custom driving cycles based on driving statistics) to determine the "damage" on the life related to each driving pattern to determine equivalent miles/years.
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Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures

TL;DR: A comprehensive review of the mechanisms, features, and diagnosis of various faults in LIBSs, including internal battery faults, sensor faults, and actuator faults are provided.