ARC Researchers at the
55th IEEE Conference on Decision and Control
(December 12-14, 2016 at Las Vegas)
ARC researchers (principal investigators in bold) will be presenting their latest research developments. Below are their papers which may include non-ARC funded research (paper titles in bold are ARC funded).
Automotive Control I
MoB20 Regular Session
14:30-14:50, Monday, December 12, 2016
Paper MoB20.4 Synthesis of an Energy-Optimal Self-Heating Strategy for Li-Ion Batteries (I)
Shankar Mohan, Jason B. Siegel, Anna G. Stefanopoulou (University of Michigan), Matthew Castanier, Yi Ding, US Army TARDEC
Abstract: The resistance of Lithium-ion cells increases at sub-zero temperatures reducing the cells’ power availability. One way to improve the cells’ performance in these adverse operation conditions is to proactively heat them. In this paper, we consider the scenario in which a cell is heated from both inside and outside; a current is drawn from the cell to power a convective heater; Joule heating warms the cell from inside. A problem formulation to derive the time-limited energy-optimal current policy is presented, analyzed and numerically solved. It is observed that the optimal current policy resembles a sequence of constant voltage, constant current and phases, mirroring conventional wisdom. Finally, the notion of productive warm-up—a warm-up procedure that ensures that the cell can perform work once warmed-up—is introduced; and an approximation of the optimal solution is used to identify the lowest state of charge at various operating conditions (portion of the state-space) from which productive warm-up is feasible.
Agents-Based Systems IV
TuA02 Regular Session
11:20-11:40, Tuesday December 13, 2016
An Energy-Aware Redistribution Method for Multi-Agent Dynamic Coverage Networks
William Bentz, Dimitra Panagou (University Of Michigan)
Abstract: This paper considers dynamic coverage control of unicycle multi-agent systems under power constraints. The agents under consideration model a visually based patrol protocol. They observe their environment via forward-facing conical anisotropic sensing regions. A local coverage control strategy is presented that allows for the cooperative search of a domain while maintaining collision avoidance guarantees using a novel control method based on the coverage level. Additionally, a novel energy-aware global coverage technique is introduced that restricts the operating range of power- constrained agents while shifting the network redistribution effort onto less constrained agents. The results of several scenarios are presented in simulation to illustrate the efficacy of these algorithms.