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Martin Lenz
Martin Lenz
Wissenschaftlicher Mitarbeiter, RWTH Aachen University
Verified email at vka.rwth-aachen.de
Title
Cited by
Cited by
Year
Approach to determine the entropy coefficient of a battery by numerical optimization
M Lenz, T Hoehl, L Zanger, S Pischinger
Journal of Power Sources 480, 228841, 2020
122020
Influence of vehicle operators and fuel grades on particulate emissions of an SI engine in dynamic cycles
D Guse, H Roehrich, M Lenz, S Pischinger
SAE Technical Paper, 2018
122018
Identification of load dependent cell voltage model parameters from sparse input data using the Mixed Integer Distributed Ant Colony Optimization solver
M Lenz, D Jöst, F Thiel, S Pischinger, DU Sauer
Journal of power sources 437, 226880, 2019
112019
Generic stochastic particle filter algorithm for predictive energy optimization of a Plug-in Hybrid Electric Vehicle extended by a battery temperature control and implemented …
F Aubeck, M Lenz, S Mertes, K Zylka, S Pischinger
Control Engineering Practice 120, 105002, 2022
82022
A case study on particulate emissions from a gasoline plug-in hybrid electric vehicle during engine warm-up, taking into account start–stop operation
M Lenz, M Cremer, D Guse, H Röhrich, S Pischinger
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of …, 2020
72020
Applying a numerical optimization to determine the entropic heat coefficient of a battery
M Lenz, T Hoehl, S Mertes, S Pischinger
Applied Thermal Engineering 211, 118467, 2022
52022
Virtuelle Hochvoltbatteriesysteme: Closed Loop Testing bei vorverlagerten Entwicklungsprozessen
M Lenz, K Etzold, S Klein, M Hüske
Simulation und Test 2018: Antriebsentwicklung im digitalen Zeitalter 20. MTZ …, 2019
42019
Generating characteristic maps of battery cell parameters from sparse input data
M Lenz, S Mertes, PJ Beecks, P Viertel, S Pischinger
Journal of Power Sources 503, 230054, 2021
32021
Echtzeitvernetzte Komponentenprüfstände für zukunftsweisende Antriebsstränge
M Lenz, T Fahrbach, D Guse, S Pischinger
MTZextra 25, 42-47, 2020
32020
A stochastic particle filter energy optimization approach for power-split trajectory planning for hybrid electric autonomous vehicles
F Aubeck, S Mertes, M Lenz, S Pischinger
2020 IEEE Intelligent Vehicles Symposium (IV), 1364-1369, 2020
22020
FEV Hybrid System Benchmark: Zusammenspiel von Versuch, Simulation und Systemauslegung
EP Morra, M Lenz, F Glados, M Espig, A Awarke, M Stapelbroek
VPC–Simulation und Test 2016: Herausforderungen durch die RDE-Gesetzgebung …, 2017
22017
Methodik der Batteriesimulation auf Basis simultaner Parameteridentifikation: Methodology battery simulation based on simultaneous parameter identification
M Lenz
Rheinisch-Westfälische Technische Hochschule Aachen, 2022
2022
Effiziente Vorhersage des thermischen Verhaltens einer Traktionsbatterie unter dynamischer Last
M Hüske, M Lenz, K Jaworczak, M Marzouki
Simulation und Test 2018: Antriebsentwicklung im digitalen Zeitalter 20. MTZ …, 2019
2019
System Design of the Electric Powertrain of Hybrid Electric Distribution Vehicles
JM Maiterth, P Methfessel, M Lenz, IM Espig
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