1 citations · 1 across the 1 of their papers we have counts for
4 papers
Coupled Routing and Charge Schedule Optimization of Electrified Delivery Truck Fleets: Feasibility Analyses
Yared Tadesse Wendimagegnehu, Beshah Ayalew, Andrej Ivanco +1
Electrifying truck fleets has the potential to improve energy efficiency and reduce carbon emissions from the freight transportation sector. However, the range limitations and subs…
Optimal control barrier functions for RL based safe powertrain control
Habtamu Hailemichael, Beshah Ayalew, Andrej Ivanco
Reinforcement learning (RL) can improve control performance by seeking to learn optimal control policies in the end-use environment for vehicles and other systems. To accomplish th…
Combined film and pulse heating of lithium ion batteries to improve performance in low ambient temperature
Habtamu Hailemichael, Beshah Ayalew
Low ambient temperatures significantly reduce Lithium ion batteries' (LIBs') charge/discharge power and energy capacity, and cause rapid degradation through lithium plating. These…
Shared learning of powertrain control policies for vehicle fleets
Lindsey Kerbel, Beshah Ayalew, Andrej Ivanco
Emerging data-driven approaches, such as deep reinforcement learning (DRL), aim at on-the-field learning of powertrain control policies that optimize fuel economy and other perform…