8 citations · 25 across the 5 of their papers we have counts for
5 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…
Safe Reinforcement Learning for an Energy-Efficient Driver Assistance System
Habtamu Hailemichael, Beshah Ayalew, Lindsey Kerbel +2
Reinforcement learning (RL)-based driver assistance systems seek to improve fuel consumption via continual improvement of powertrain control actions considering experiential data f…
Safety Filtering for Reinforcement Learning-based Adaptive Cruise Control
Habtamu Hailemichael, Beshah Ayalew, Lindsey Kerbel +2
Reinforcement learning (RL)-based adaptive cruise control systems (ACC) that learn and adapt to road, traffic and vehicle conditions are attractive for enhancing vehicle energy eff…