Simulation and Test Systems for Validation of Electric Drive and Battery Management Systems

Allen, Jace

doi:10.4271/2012-01-2144

Cited by 10 publications

(4 citation statements)

References 8 publications

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“…In the case of our mild HEV hardware-in-the-loop setup, the hardware and software are fully integrated. The software controls emulation of the output of manual transmission and EPS concurrently in real time [24]. The BLDC motor command comes from the power management module (Kelly controller) via the virtual driver handled by the MicroAutoBox II, rather than directly.…”

Section: Cmentioning

confidence: 99%

Hardware-in-the-Loop Simulation for the Design and Testing of Motor in Advanced Powertrain Applications

Awadallah

Tawadros

Walker

et al. 2018

2018 IEEE 27th International Symposium on Industrial Electronics (ISIE)

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In this work, a validation procedure is presented, for an electric propulsion system used in a mild hybrid electric vehicle powertrain. The vehicle is configured based upon a brushless DC (permanent magnet synchronous) motor installed as electric propulsion system in a mild hybrid electric vehicle. Hardware-in-the-loop (HIL) techniques are used to enable rapid prototyping, as well as validate the specified characteristics of the motor unit, which was purchased as an off-the-shelf item. The validation results of the work in summary indicate that whilst the motor unit does not meet quoted specifications, it nevertheless functions acceptably for the purpose of the hybrid electric vehicle application.

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Section: Cmentioning

confidence: 99%

Hardware-in-the-Loop Simulation for the Design and Testing of Motor in Advanced Powertrain Applications

Awadallah

Tawadros

Walker

et al. 2018

2018 IEEE 27th International Symposium on Industrial Electronics (ISIE)

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“…Calibration and test under several working conditions are unavoidable stages in the developing process of a BMS [13,14]. The use of real batteries at this stage is not feasible, since the internal state of a battery and its response to external signals and solicitations change among different batteries (even of the same brand and model).…”

Section: Introductionmentioning

confidence: 99%

Digital Impedance Emulator for Battery Measurement System Calibration

Santoni

Angelis

Moschitta

et al. 2021

Sensors

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Meaningful information on the internal state of a battery can be derived by measuring its impedance. Accordingly, battery management systems based on electrochemical impedance spectroscopy are now recognized as a feasible solutions for online battery control and diagnostic. Since the impedance of a battery is always changing along with its state of charge and aging effects, it is important to have a stable impedance reference in order to calibrate and test a battery management system. In this work we propose a programmable impedance emulator that in principle could be used for the calibration of any battery management system based on electrochemical impedance spectroscopy. A digital finite-impulse-response filter is implemented, whose frequency response is programmed so as to reproduce exactly the impedance of a real battery in the frequency domain. The whole design process of the filter is presented in detail. An analytical expression for the impedance of real battery in the frequency domain is derived from an equivalent circuit model. The model is validated both through numerical simulations and experimental tests. In particular, the filter is implemented on a low-cost microcontroller unit, and the emulated impedance is measured by means of a custom-made electrochemical impedance spectroscopy measuring system, and verified by using standard commercial bench instruments. Results on this prototype show the feasibility of using the proposed emulator as a fully controllable and low-cost reference for calibrating battery impedance measurement systems.

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“…Typically, this will include the electronic control unit (ECU) and other ancillary components. Recent studies highlight the application of HILS for ESS verification within both the transport and renewable energy sectors [10][11][12][13][14]. In line with the traditional use of HILS, the primary focus of the research presented within the literature is often the verification of the control software required to manage the battery system.…”

Section: Introductionmentioning

confidence: 99%

“…Within the context of their respective research objectives, each HILS test environment contains different elements that are either physically included or represented by a real-time simulation model. When validating ESS software, the individual battery cells are typically emulated by a programmable power supply in which a real-time battery model or mathematical function maps cell current, SOC and possibly temperature to the required voltage output [12,16,18]. HILS studies within the literature that discuss the inclusion of physical battery cells within the test set-up are comparatively rare.…”

Section: Introductionmentioning

confidence: 99%

A Cell-in-the-Loop Approach to Systems Modelling and Simulation of Energy Storage Systems

et al. 2015

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This research is aligned with the engineering challenge of scaling-up individual battery cells into a complete energy storage system (ESS). Manufacturing tolerances, coupled with thermal gradients and the differential electrical loading of adjacent cells, can result in significant variations in the rate of cell degradation, energy distribution and ESS performance. The uncertain transition from cell to system often manifests itself in over-engineered, non-optimal ESS designs within both the transport and energy sectors. To alleviate these issues, the authors propose a novel model-based framework for cell-in-the-loop simulation (CILS) in which a physical cell may be integrated within a complete model of an ESS and exercised against realistic electrical and thermal loads in real-time. This paper focuses on the electrical integration of both real and simulated cells within the CILS test environment. Validation of the CILS approach using real-world electric vehicle data is presented for an 18650 cell. The cell is integrated within a real-time simulation model of a series string of similar cells in a 4sp1 configuration. Results are presented that highlight the impact of cell variability (i.e., capacity and impedance) on the energy available from the multi-cell system and the useable capacity of the physical cell.

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Simulation and Test Systems for Validation of Electric Drive and Battery Management Systems

Cited by 10 publications

References 8 publications

Hardware-in-the-Loop Simulation for the Design and Testing of Motor in Advanced Powertrain Applications

Hardware-in-the-Loop Simulation for the Design and Testing of Motor in Advanced Powertrain Applications

Digital Impedance Emulator for Battery Measurement System Calibration

A Cell-in-the-Loop Approach to Systems Modelling and Simulation of Energy Storage Systems

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