Bogdan Rosca

Bogdan Rosca
Lilium GmbH

M.Sc.

About

17
Publications
5,732
Reads
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88
Citations
Citations since 2016
4 Research Items
57 Citations
201620172018201920202021202202468101214
201620172018201920202021202202468101214
201620172018201920202021202202468101214
201620172018201920202021202202468101214
Additional affiliations
October 2011 - present
TNO
Position
  • Reasearch engineer
Description
  • My interests and activities lie in battery testing, electro-thermal modelling, simulation and state estimation, estimation and control algorithms for Battery Management Systems, engine and powertrain modelling and control.

Publications

Publications (17)
Preprint
Battery thermal management is essential to efficienct and safe operation of Li-ion batteries, particularly in challenging applications such as fast charging. This work proposes a thermal management control framework based on MPC. The novelty of this approach resides in the focus on incorporating disturbance prediction into the control decision. Sim...
Preprint
Model based development methodologies have strong potential in reducing development effort of complex automotive systems. This paper presents a model based development methodology used to develop battery state estimation algorithms, and steps through all the steps required for this. The benefits of the mixed simulation and testing methodology are o...
Conference Paper
Full-text available
This paper presents the implementation and experimental demonstration of a capacity estimation method for lithium-ion battery cells based on two different least squares techniques , namely (weighted) ordinary least squares and (weighted) total least squares. The proposed approach is coupled with an extended kalman filter for state-of-charge estimat...
Research
Full-text available
EcoDriving research at TNO; overview and motivations
Conference Paper
Full-text available
Battery Management Systems (BMSs) play a key role in the performance of both hybrid and fully electric vehicles. Typically, the role of the BMS is to help maintain safety, performance, and overall efficiency of the battery pack. One important aspect of its operation is the estimation of the state of the cells, to support functionalities such as bal...
Conference Paper
Full-text available
This paper presents a method of predicting the maximum power capability of a Li-Ion battery, to be used for electric motor control within automotive powertrains. As maximum power is highly dependent on battery state, the method consists of a pack level state observer coupled with a predictive battery pack model. Results show that the pack level sta...
Conference Paper
Full-text available
Battery Management Systems (BMS) have an essential role in hybrid and electric vehicles, contributing to the safety, performance and efficiency of the vehicle. In the years to come, BMS’s will increasingly rely on state estimation to increase the performance of their existing functionalities (such as State of Charge/State of Health estimation and c...
Conference Paper
Full-text available
The Netherlands Organisation for Applied Scientific Research (TNO) is engaged in research, development and testing of a range of technologies relating to hybrid and electric vehicle energy management and performance. The impact of driver behaviour on vehicle energy consumption is a significant factor, and one which can often be reduced with eco-dri...
Conference Paper
Full-text available
Within electric and hybrid vehicles, batteries are used to provide/buffer the energy required for driving. However, battery performance varies throughout the temperature range specific to automotive applications, and as such, models that describe this behaviour are required. This paper presents a dynamic battery model describing the battery voltage...
Conference Paper
Full-text available
Thermal Modelling of Battery Pack within Integrated Powertrain Control • Thermal management within the context of battery ageing • Simulation level assessment of the use of the battery under different operational conditions • On board monitoring, management, and prediction • System level control and energy management
Conference Paper
Full-text available
Driveability of BEVs is subject to the driver behaviour and in more extreme cases the powertrain is unable to adapt. The behaviour of drivers is categorized and presented here with comparison against more standard drive cycles. The extremes of the driver behaviour and this distribution is based on real-world measurements. A driver grading mechanism...
Conference Paper
This paper presents an on-line model identification method for Li-ion battery parameters that combines high accuracy and low computational complexity. Experimental results show that modeling errors are smaller than 1% throughout the feasible operating range. The identified model is used in a state observer - an Extended Kalman Filter (EKF) - to obt...
Article
Hybrid and electric vehicles require accurate knowledge of the battery to make an educated guess about the expected electric driving range. Range prediction is complicated by the fact that batteries are subject to external influences and aging. Also the future driving behavior is often unknown. This paper presents a model-based identification metho...

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