activity
20172026
most citedEvaluation of the Driving Performance and User Acceptance of a Predictive Eco-Driving Assistance System for Electric Vehicles

45 citations · 57 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY2026

Horizon Selection in Physics-Enhanced Neural ODEs: Theoretical Insights and Flux Linkage Application

Giulio Montecchio, Benjamin Hartmann, Sven Reimann +3

The integration horizon during the training plays a critical role in Physics-Enhanced Neural Ordinary Differential Equations. We draw conclusions about horizon extension in the tra…

eess.SY2026

Joint identification of permanent magnet synchronous machine and inverter

Giulio Montecchio, Sven Reimann, Benjamin Hartmann +3

In electric drive modeling, identifying the magnetic flux maps is essential for predicting accurately the torque, parameterizing a controller for tracking the torque or creating a…

eess.SY2022★ 45 cited

Evaluation of the Driving Performance and User Acceptance of a Predictive Eco-Driving Assistance System for Electric Vehicles

Sai Krishna Chada, Daniel Görges, Achim Ebert +2

In this work, a predictive eco-driving assistance system (pEDAS) with the goal to assist drivers in improving their driving style and thereby reducing the energy consumption in bat…

eess.SY2021★ 12 cited

Ecological Adaptive Cruise Control for City Buses based on Hybrid Model Predictive Control using PnG and Traffic Light Information

Sai Krishna Chada, Jitin Mathew Thomas, Daniel Görges +2

This paper proposes an ecological adaptive cruise control (EACC) concept with the primary goal to minimize the fuel consumption in a city bus with an internal combustion engine (IC…

cs.CY2017

Cyber-Automotive Simulation and Evaluation Platform for Vehicular Value Added Services

Raja Sattiraju, Pratip Chakraborty, Hans D. Schotten +2

An easily moving and safe transportation is an indicator in any country in the world of economic growth and well-being. For the past 100 years, innovation within the automotive sec…