Harpreetsingh Banvait

Failure detection for over-discharged Li-ion batteries

Over-discharge is one of the most common electrical abuses a Li-ion battery suffers. This paper presents preliminary results for the failure signatures of over-discharged Li-ion batteries, and proposes a rule-based method and a probabilistic method for failure detection. The two methods are verified using experimental results for a Li-ion battery. The proposed methods were successfully implemented in a real-time system for failure detection and early warning.

A new scoring mechanism for vehicle crash imminent braking systems

As Crash Imminent Braking (CIB) systems have been introduced to the passenger vehicle market segment, there is an immediate need to develop a standardized performance scoring system which enables an objective comparison of similar CIB systems implemented across various vehicle platforms. It is desirable that this standard is adopted by the entire automotive industry to further advance CIB technologies. It is also a valuable reference for consumers to compare the safety of different vehicles. This paper describes an approach for the establishment of such a standard to evaluate and compare the performance of CIB systems. A set of testing scenarios is proposed for the performance evaluation of CIB systems. Subjective and arguable test scenarios are avoided as much as possible. The applicability of the proposed scoring system is demonstrated with the data collected from some proposed testing scenarios in the evaluation of a 2011 model-year passenger vehicle equipped with a CIB system.

Supervisory control of Plug-in Hybrid Electric Vehicle with hybrid dynamical system

In this paper, a supervisory control of Plug-in Hybrid Electric Vehicles (PHEVs) using hybrid dynamical systems theory is presented. In hybrid dynamical systems, the state trajectories are described by both differential equations and discrete transitions. A PHEV has different operating modes which are modelled in the hybrid dynamical systems framework, simulated and analyzed. Furthermore, a constrained optimization problem to minimize energy used by PHEV is formulated. Finally, dynamic programming is used to minimize energy consumption. The obtained results are studied to evaluate the performance of supervisory control and hybrid dynamical system.

Design of energy management system of Plug-in Hybrid Electric Vehicle using hybrid systems

In this paper, an energy management system of power-split Plug-in Hybrid Electric Vehicle (PHEV) is designed. This PHEV with power-split drivetrain operates in discrete operating domains. The drivetrain dynamics of the system are continuous within each of these discrete modes. This PHEV system consisting of discrete operational modes and continuous dynamics can be modeled using the hybrid dynamical system framework. In this paper, the vehicle and powertrain dynamics of power-split PHEV are introduced. Using these dynamics, a hybrid system model of the PHEV is proposed, and a nonlinear constrained energy minimization problem is solved using the dynamic programming approach. This designed Energy management systems performance is evaluated for different city and highway driving.