Mutasim Salman - Academia.edu (original) (raw)
Papers by Mutasim Salman
International Electric Machines and Drives Conference, 2003
Coupled with the accelerated search of "clean generation" of electric energy is the growing need ... more Coupled with the accelerated search of "clean generation" of electric energy is the growing need for alternative energy source in urban transportation that can reduce the overall impact on air pollution. Hybrid Electric
IFAC Proceedings Volumes, Aug 1, 1981
A static market model of duopoly, with the government influencing the market, is formulated as a ... more A static market model of duopoly, with the government influencing the market, is formulated as a Stackelberg game with one leader and two Nash followers. By using a strategy which is a function of the decisions of the Nash duopolists, the government may induce them to virtually cooperate. Marginal cost, price, price elasticity of demand, total profits, and consumers' welfare, when this incentive mechanism is used, are compared to the corresponding quantities under voluntary cooperation.
International Journal of Control, 1983
This paper discusses team-optimal closed-loop Stackelberg strategies for systems with slow and fa... more This paper discusses team-optimal closed-loop Stackelberg strategies for systems with slow and fast modes. It is established that the cost functions of the players in the pure slow and the full-order games have the same value in the limit as the small singular perturbation parameters tends to zero. It is shown that if the leader bases the design of his
2010 IEEE International Conference on Control Applications, 2010
Automotive vehicles are becoming increasingly dependent on electric power, and this trend will ac... more Automotive vehicles are becoming increasingly dependent on electric power, and this trend will accelerate. The health of the vehicular electric power generation and storage (EPGS) system is crucial to enhance vehicle safety, fuel economy, and reliability. In this paper, a fault detection and isolation method is presented for the automotive EPGS system, focusing on alternator related faults. Parity relations and
IEEE Aerospace and Electronic Systems Magazine, 2013
Journal of Dynamic Systems Measurement and Control-transactions of The Asme, 1990
In this paper a control system which achieves ideal brake force distribution between the front an... more In this paper a control system which achieves ideal brake force distribution between the front and the rear wheels of a vehicle during normal braking is studied. Ideal brake proportioning is achieved by dynamically controlling the rear-wheel speed to track the front-wheel speed. Electro-hydraulic brake actuators, which are installed at the rear brakes of the vehicle, are used to modulate the brake-line pressure. A simple linear model of the actuators was developed. This model is derived from experimental response data. Based on this model, a robust servomechanism controller, which achieves ideal brake proportioning by rear-wheel speed control, is designed, implemented, and tested. Test results indicate that the robust servo-mechanism controller achieves a very good wheel speed tracking performance.
... edu Youssef Ghoneim, Mark Howell, Mutasim Salman GM Global R&D General Mo... more ... edu Youssef Ghoneim, Mark Howell, Mutasim Salman GM Global R&D General Motors Company Warren, MI, USA Abstract Integrity of electric power steering system is vital to vehicle handling and driving performance. Advances ...
As electrical and electronic systems (EES) steadfastly increase their functional complexity and c... more As electrical and electronic systems (EES) steadfastly increase their functional complexity and connectedness, they pose ever-growing challenges in fault analysis and prevention. Many EES faults are intermittent, emerging (new faults), or cascading, and cannot be addressed by the traditional component-level diagnostic design. Leveraging the latest advancements in Network Science, we take the holistic approach to model and analyze the highly interrelated in-vehicle EES as layered sub-networks of hardware components, software components, and communication links. We develop multi-partite, multi-attribute betweenness centrality measures to quantify the complexity and maintainability of the layered EES network. We then use the betweenness centrality distribution to identify fault analysis monitoring points and fault-mitigation strategies. The promising results obtained by our initial empirical study of an example in-vehicle EES presents a first step toward network-theory based IVHM.
This paper presents a unified data-driven prognostic framework that combines failure time data, s... more This paper presents a unified data-driven prognostic framework that combines failure time data, static parameter data and dynamic time-series data. The framework employs proportional hazards model and a soft dynamic multiple fault diagnosis algorithm for inferring the degraded state trajectories of components and to estimate their remaining useful life times. The framework takes into account the cross-subsystem fault propagation, a case prevalent in any networked and embedded system. The key idea is to use Cox proportional hazards model to estimate the survival functions of error codes and symptoms (probabilistic test outcomes/prognostic indicators) from failure time data and static parameter data, and use them to infer the survival functions of components via soft dynamic multiple fault diagnosis algorithm. The average remaining useful life and its higher-order central moments (e.g., variance, skewness, kurtosis) can be estimated from these component survival functions. The framewo...
2020 IEEE International Conference on Prognostics and Health Management (ICPHM), 2020
Electric drive system is a key subsystem of battery electric vehicles (BEVs). Since the electric ... more Electric drive system is a key subsystem of battery electric vehicles (BEVs). Since the electric drive is a single point of failure in BEVs, any abnormality in the components comprising an electric drive system may have significant impact on the vehicle performance. This paper presents a model-based method for detecting and isolating the component faults in an electric drive system, considering electric motor faults and and various sensor faults that include three phase current sensor faults and rotor position sensor faults. The method presented in this paper can be used for developing a systematic diagnostic and prognostic system for electric drive systems of electrified vehicles.
Proceedings of the 1997 American Control Conference (Cat. No.97CH36041), 1997
Proceedings of the American Control Conference Albuquerque, New Mexico June 1997 0-7803-3832-4/97... more Proceedings of the American Control Conference Albuquerque, New Mexico June 1997 0-7803-3832-4/97/$10.00 0 1997 AACC ... A Rule-Based Energy Management Strategy for a Series Hybrid Vehicle ... Nashat Jalil * Naim A. Kheir t Mutasim Salman
2012 IEEE Aerospace Conference, 2012
Regenerative braking is one of the most promising and environmentally friendly technologies used ... more Regenerative braking is one of the most promising and environmentally friendly technologies used in electric and hybrid electric vehicles to improve energy efficiency and vehicle stability. In this paper, we discuss a systematic data-driven process for detecting and diagnosing faults in the regenerative braking system of hybrid electric vehicles. The process involves data reduction techniques, exemplified by multi-way partial least
2011 IEEE AUTOTESTCON, 2011
... edu Youssef Ghoneim, Mark Howell, Mutasim Salman GM Global R&D General Mo... more ... edu Youssef Ghoneim, Mark Howell, Mutasim Salman GM Global R&D General Motors Company Warren, MI, USA Abstract Integrity of electric power steering system is vital to vehicle handling and driving performance. Advances ...
Journal of Dynamic Systems, Measurement, and Control, 1990
In this paper a control system which achieves ideal brake force distribution between the front an... more In this paper a control system which achieves ideal brake force distribution between the front and the rear wheels of a vehicle during normal braking is studied. Ideal brake proportioning is achieved by dynamically controlling the rear-wheel speed to track the front-wheel speed. Electro-hydraulic brake actuators, which are installed at the rear brakes of the vehicle, are used to modulate the brake-line pressure. A simple linear model of the actuators was developed. This model is derived from experimental response data. Based on this model, a robust servomechanism controller, which achieves ideal brake proportioning by rear-wheel speed control, is designed, implemented, and tested. Test results indicate that the robust servo-mechanism controller achieves a very good wheel speed tracking performance.
IEEE Transactions on Control Systems Technology, 2002
7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, 2009
Abstract Effective vehicular power management requires accurate knowledge of battery state, inclu... more Abstract Effective vehicular power management requires accurate knowledge of battery state, including state-of-charge (SOC) and state-of-health (SOH). A well-known approach to battery SOH monitoring is to infer SOH from battery impedance or resistance. However, to provide accurate and robust battery SOH information, an integrated algorithm is needed. In this paper, we present a parity relation based integrated method for battery SOH monitoring. A parity relation is designed to characterize the behaviors of good batteries during vehicle cranking. A residual, defined as the discrepancy between the actual battery voltage and its estimation obtained from the trained parity relation, is used to infer battery SOH. Through analysis based on the presented battery model describing the battery dynamics during cranking, it is shown that the residual integrates the SOH information provided by both battery resistance and voltage loss, hence enhancing diagnostic/prognostic performance. Extensive performance evaluation results using real vehicle cranking data have shown the effectiveness of the algorithm.
Advanced vehicle diagnostics and prognostics (D&P) technology enhances ownership experience, and ... more Advanced vehicle diagnostics and prognostics (D&P) technology enhances ownership experience, and reduces corporate warranty cost. D&P performance optimization requires significant algorithm tuning and a large amount of test data collection, which is resource consuming. In this paper, we propose a novel D&P framework called Collaborative Vehicle Health Management (CVHM) to automatically optimize the D&P algorithms on a host vehicle, using the field data collected from peer vehicles encountered on the road. The carefully designed system architecture and learning algorithms enhance D&P performance without costly human intervention. The experimental results on battery remaining useful life prediction show the effectiveness of the proposed framework. This proposed framework has been implemented in a small test fleet as a proof-of-concept prototype.
US Patent …
United States Patent Dickinson et al. US005857160A [ii] Patent Number: [45] Date of Patent: 5,857... more United States Patent Dickinson et al. US005857160A [ii] Patent Number: [45] Date of Patent: 5,857,160 Jan. 5, 1999 [54] SENSOR-RESPONSIVE CONTROL METHOD AND APPARATUS [75] Inventors: John E. Dickinson, Brighton; Douglass L. Carson, Walled Lake; Mutasim ...
International Electric Machines and Drives Conference, 2003
Coupled with the accelerated search of "clean generation" of electric energy is the growing need ... more Coupled with the accelerated search of "clean generation" of electric energy is the growing need for alternative energy source in urban transportation that can reduce the overall impact on air pollution. Hybrid Electric
IFAC Proceedings Volumes, Aug 1, 1981
A static market model of duopoly, with the government influencing the market, is formulated as a ... more A static market model of duopoly, with the government influencing the market, is formulated as a Stackelberg game with one leader and two Nash followers. By using a strategy which is a function of the decisions of the Nash duopolists, the government may induce them to virtually cooperate. Marginal cost, price, price elasticity of demand, total profits, and consumers' welfare, when this incentive mechanism is used, are compared to the corresponding quantities under voluntary cooperation.
International Journal of Control, 1983
This paper discusses team-optimal closed-loop Stackelberg strategies for systems with slow and fa... more This paper discusses team-optimal closed-loop Stackelberg strategies for systems with slow and fast modes. It is established that the cost functions of the players in the pure slow and the full-order games have the same value in the limit as the small singular perturbation parameters tends to zero. It is shown that if the leader bases the design of his
2010 IEEE International Conference on Control Applications, 2010
Automotive vehicles are becoming increasingly dependent on electric power, and this trend will ac... more Automotive vehicles are becoming increasingly dependent on electric power, and this trend will accelerate. The health of the vehicular electric power generation and storage (EPGS) system is crucial to enhance vehicle safety, fuel economy, and reliability. In this paper, a fault detection and isolation method is presented for the automotive EPGS system, focusing on alternator related faults. Parity relations and
IEEE Aerospace and Electronic Systems Magazine, 2013
Journal of Dynamic Systems Measurement and Control-transactions of The Asme, 1990
In this paper a control system which achieves ideal brake force distribution between the front an... more In this paper a control system which achieves ideal brake force distribution between the front and the rear wheels of a vehicle during normal braking is studied. Ideal brake proportioning is achieved by dynamically controlling the rear-wheel speed to track the front-wheel speed. Electro-hydraulic brake actuators, which are installed at the rear brakes of the vehicle, are used to modulate the brake-line pressure. A simple linear model of the actuators was developed. This model is derived from experimental response data. Based on this model, a robust servomechanism controller, which achieves ideal brake proportioning by rear-wheel speed control, is designed, implemented, and tested. Test results indicate that the robust servo-mechanism controller achieves a very good wheel speed tracking performance.
... edu Youssef Ghoneim, Mark Howell, Mutasim Salman GM Global R&D General Mo... more ... edu Youssef Ghoneim, Mark Howell, Mutasim Salman GM Global R&D General Motors Company Warren, MI, USA Abstract Integrity of electric power steering system is vital to vehicle handling and driving performance. Advances ...
As electrical and electronic systems (EES) steadfastly increase their functional complexity and c... more As electrical and electronic systems (EES) steadfastly increase their functional complexity and connectedness, they pose ever-growing challenges in fault analysis and prevention. Many EES faults are intermittent, emerging (new faults), or cascading, and cannot be addressed by the traditional component-level diagnostic design. Leveraging the latest advancements in Network Science, we take the holistic approach to model and analyze the highly interrelated in-vehicle EES as layered sub-networks of hardware components, software components, and communication links. We develop multi-partite, multi-attribute betweenness centrality measures to quantify the complexity and maintainability of the layered EES network. We then use the betweenness centrality distribution to identify fault analysis monitoring points and fault-mitigation strategies. The promising results obtained by our initial empirical study of an example in-vehicle EES presents a first step toward network-theory based IVHM.
This paper presents a unified data-driven prognostic framework that combines failure time data, s... more This paper presents a unified data-driven prognostic framework that combines failure time data, static parameter data and dynamic time-series data. The framework employs proportional hazards model and a soft dynamic multiple fault diagnosis algorithm for inferring the degraded state trajectories of components and to estimate their remaining useful life times. The framework takes into account the cross-subsystem fault propagation, a case prevalent in any networked and embedded system. The key idea is to use Cox proportional hazards model to estimate the survival functions of error codes and symptoms (probabilistic test outcomes/prognostic indicators) from failure time data and static parameter data, and use them to infer the survival functions of components via soft dynamic multiple fault diagnosis algorithm. The average remaining useful life and its higher-order central moments (e.g., variance, skewness, kurtosis) can be estimated from these component survival functions. The framewo...
2020 IEEE International Conference on Prognostics and Health Management (ICPHM), 2020
Electric drive system is a key subsystem of battery electric vehicles (BEVs). Since the electric ... more Electric drive system is a key subsystem of battery electric vehicles (BEVs). Since the electric drive is a single point of failure in BEVs, any abnormality in the components comprising an electric drive system may have significant impact on the vehicle performance. This paper presents a model-based method for detecting and isolating the component faults in an electric drive system, considering electric motor faults and and various sensor faults that include three phase current sensor faults and rotor position sensor faults. The method presented in this paper can be used for developing a systematic diagnostic and prognostic system for electric drive systems of electrified vehicles.
Proceedings of the 1997 American Control Conference (Cat. No.97CH36041), 1997
Proceedings of the American Control Conference Albuquerque, New Mexico June 1997 0-7803-3832-4/97... more Proceedings of the American Control Conference Albuquerque, New Mexico June 1997 0-7803-3832-4/97/$10.00 0 1997 AACC ... A Rule-Based Energy Management Strategy for a Series Hybrid Vehicle ... Nashat Jalil * Naim A. Kheir t Mutasim Salman
2012 IEEE Aerospace Conference, 2012
Regenerative braking is one of the most promising and environmentally friendly technologies used ... more Regenerative braking is one of the most promising and environmentally friendly technologies used in electric and hybrid electric vehicles to improve energy efficiency and vehicle stability. In this paper, we discuss a systematic data-driven process for detecting and diagnosing faults in the regenerative braking system of hybrid electric vehicles. The process involves data reduction techniques, exemplified by multi-way partial least
2011 IEEE AUTOTESTCON, 2011
... edu Youssef Ghoneim, Mark Howell, Mutasim Salman GM Global R&D General Mo... more ... edu Youssef Ghoneim, Mark Howell, Mutasim Salman GM Global R&D General Motors Company Warren, MI, USA Abstract Integrity of electric power steering system is vital to vehicle handling and driving performance. Advances ...
Journal of Dynamic Systems, Measurement, and Control, 1990
In this paper a control system which achieves ideal brake force distribution between the front an... more In this paper a control system which achieves ideal brake force distribution between the front and the rear wheels of a vehicle during normal braking is studied. Ideal brake proportioning is achieved by dynamically controlling the rear-wheel speed to track the front-wheel speed. Electro-hydraulic brake actuators, which are installed at the rear brakes of the vehicle, are used to modulate the brake-line pressure. A simple linear model of the actuators was developed. This model is derived from experimental response data. Based on this model, a robust servomechanism controller, which achieves ideal brake proportioning by rear-wheel speed control, is designed, implemented, and tested. Test results indicate that the robust servo-mechanism controller achieves a very good wheel speed tracking performance.
IEEE Transactions on Control Systems Technology, 2002
7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, 2009
Abstract Effective vehicular power management requires accurate knowledge of battery state, inclu... more Abstract Effective vehicular power management requires accurate knowledge of battery state, including state-of-charge (SOC) and state-of-health (SOH). A well-known approach to battery SOH monitoring is to infer SOH from battery impedance or resistance. However, to provide accurate and robust battery SOH information, an integrated algorithm is needed. In this paper, we present a parity relation based integrated method for battery SOH monitoring. A parity relation is designed to characterize the behaviors of good batteries during vehicle cranking. A residual, defined as the discrepancy between the actual battery voltage and its estimation obtained from the trained parity relation, is used to infer battery SOH. Through analysis based on the presented battery model describing the battery dynamics during cranking, it is shown that the residual integrates the SOH information provided by both battery resistance and voltage loss, hence enhancing diagnostic/prognostic performance. Extensive performance evaluation results using real vehicle cranking data have shown the effectiveness of the algorithm.
Advanced vehicle diagnostics and prognostics (D&P) technology enhances ownership experience, and ... more Advanced vehicle diagnostics and prognostics (D&P) technology enhances ownership experience, and reduces corporate warranty cost. D&P performance optimization requires significant algorithm tuning and a large amount of test data collection, which is resource consuming. In this paper, we propose a novel D&P framework called Collaborative Vehicle Health Management (CVHM) to automatically optimize the D&P algorithms on a host vehicle, using the field data collected from peer vehicles encountered on the road. The carefully designed system architecture and learning algorithms enhance D&P performance without costly human intervention. The experimental results on battery remaining useful life prediction show the effectiveness of the proposed framework. This proposed framework has been implemented in a small test fleet as a proof-of-concept prototype.
US Patent …
United States Patent Dickinson et al. US005857160A [ii] Patent Number: [45] Date of Patent: 5,857... more United States Patent Dickinson et al. US005857160A [ii] Patent Number: [45] Date of Patent: 5,857,160 Jan. 5, 1999 [54] SENSOR-RESPONSIVE CONTROL METHOD AND APPARATUS [75] Inventors: John E. Dickinson, Brighton; Douglass L. Carson, Walled Lake; Mutasim ...