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Current density and state of charge inhomogeneities in Li-ion battery cells with LiFePO4 as cathode material due to temperature gradients
Current density distributions and local state of charge (SoC) differences that are caused by temperature gradients inside actively cooled Li-ion battery cells are discussed and quantified. As anExpand
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Thermal Impedance Spectroscopy - A method for the thermal characterization of high power battery cells
Abstract A new approach of Thermal Impedance Spectroscopy (TIS) is introduced for thermal characterization of battery cells. It examines the transfer behavior between internal heat generation andExpand
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Integrated thermal and energy management of plug-in hybrid electric vehicles
Abstract In plug-in hybrid electric vehicles (PHEVs), the engine temperature declines due to reduced engine load and extended engine off period. It is proven that the engine efficiency and emissionsExpand
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Efficiency-increasing driver assistance at signalized intersections using predictive traffic state estimation
Frequent necessary stops at red traffic signals and related braking and acceleration processes significantly affect the fuel consumption and emission rates of a vehicle. The efficiency-increasingExpand
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ElisaTM - Car to infrastructure communication in the field
Car to infrastructure (C2I) communication as an aspect of Intelligent Transportation Systems (ITS) is a topic that is currently under wide research. Most works however deal with theoretical analysis,Expand
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Deep Reinforcement Learning for Advanced Energy Management of Hybrid Electric Vehicles
Machine Learning seizes a substantial role in the development of future low-emission automobiles, as manufacturers are increasingly reaching limits with traditional engineering methods. Apart fromExpand
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Pre-ignition Detection Using Deep Neural Networks: A Step Towards Data-driven Automotive Diagnostics
Fault detection in vehicles is currently carried out using model-based or rule-based approaches. Due to advances in automotive technology such as autonomous driving and further connectivity, theExpand
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Safe Deep Reinforcement Learning Hybrid Electric Vehicle Energy Management
The optimality-based design of the energy management of a hybrid electric vehicle is a challenging task due to the extensive and complex nonlinear reciprocal effects in the system, as well as theExpand
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