Integrated Systems Engineering Approach for Incremental 48Volt Hybrid Technology Introduction

Naidu, Ashish; Brittle, Peter; Xiaoyu, Ma; Rutter, Brian

doi:10.4271/2017-01-1603

Cited by 7 publications

(6 citation statements)

References 3 publications

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“…Our proposed approach for the ESD representation of operations on flows is underpinned by the Systems State Flow Diagram (SSFD) function modelling as described in Yildirim et al (2017). We have chosen to underpin the ESD on the SSFD functional modelling paradigm (Yildirim et al 2017), both because of the logical complementarity, and also because this methodology has been taught and used by many of our industrial collaborators for over 10 years (Campean et al 2011(Campean et al , 2013(Campean et al , 2015Henshall et al 2014;Dobryden et al 2017;Naidu et al 2017).…”

Section: Enhanced Sequence Diagram Schematamentioning

confidence: 99%

Functional modelling of complex multi-disciplinary systems using the enhanced sequence diagram

Yildirim

Campean

2020

Res Eng Design

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This paper introduces an Enhanced Sequence Diagram (ESD) as the basis for a structured framework for the functional analysis of complex multidisciplinary systems. The ESD extends the conventional sequence diagrams (SD) by introducing a rigorous functional flow-based modelling schemata to provide an enhanced basis for model-based functional requirements and architecture analysis in the early systems design stages. The proposed ESD heuristics include the representation of transactional and transformative functions required to deliver the use case sequence, and fork and join nodes to facilitate analysis of combining and bifurcating operations on flows. A case study of a personal mobility device is used to illustrate the deployment of the ESD methodology in relation to three common product development scenarios: (i) reverse engineering, (ii) the introduction of a specific technology to an existent system; and (iii) the introduction of a new feature as user-centric innovation for an existing system, at a logical design level, without reference to any solution. The case study analysis provides further insights into the effectiveness of the ESD to support function modelling and functional requirements capture, and architecture development. The significance of this paper is that it establishes a rigorous ESD-based functional analysis methodology to guide the practitioner with its deployment, facilitating its impact to both the engineering design and systems engineering communities, as well as the design practice in the industry.

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Section: Enhanced Sequence Diagram Schematamentioning

confidence: 99%

Functional modelling of complex multi-disciplinary systems using the enhanced sequence diagram

Yildirim

Campean

2020

Res Eng Design

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“…This leads to poor integration and traceability within the system design development. The SSFD has delivered a fundamental underpinning for the development of a framework for robust engineering design based on failure mode avoidance, which has been comprehensively deployed within the automotive industry (Campean, Henshall, & Rutter, 2013; Henshall et al, 2014, 2015; Dobryden et al, 2017; Naidu et al, 2017).…”

Section: Critical Evaluation Of Ssfd Using the Function Representatiomentioning

confidence: 99%

“…The glue gun and the EVP analysis (at the limit of resolution considered in the paper) mostly illustrate the SSFD deployment in the electromechanical domain. However, experience with industrial use of the methods has shown that the methodology can be applied to control and software systems (Campean, Henshall, & Rutter, 2013; Naidu et al, 2017) and even to process function modeling (Dobryden et al, 2017). The SSFD could be linked to other engineering models such as bond graphs or physical/ analytical simulation models (e.g., based on Simulink).…”

Section: Critical Evaluation Of Ssfd Using the Function Representatiomentioning

confidence: 99%

“…This often leads to imprecise function articulation and modeling, with no consistent reference to measurable attributes. A further strength of the SSFD is that it can be applied to the function modeling and representation across different disciplines (including software), and allows combination of multiple flows, as illustrated in the case studies reported in the literature (Campean et al, 2011; Campean, Henshall, & Rutter, 2013; Henshall et al, 2014, 2015; Dobryden et al, 2017; Naidu et al, 2017).

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Section: Introductionmentioning

confidence: 99%

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Function modeling using the system state flow diagram

Yildirim

Campean

Williams

2017

AIEDAM

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This paper introduces a rigorous framework for function modeling of complex multidisciplinary systems based on the system state flow diagram (SSFD). The work addresses the need for a consistent methodology to support solution-neutral function-based system decomposition analysis, facilitating the design, modeling, and analysis of complex systems architectures. A rigorous basis for the SSFD is established by defining conventions for states and function definitions and a representation scheme, underpinned by a critical review of existing literature. A set of heuristics are introduced to support the function decomposition analysis and to facilitate the deployment of the methodology with strong practitioner guidelines. The SSFD heuristics extend the existing framework of Otto and Wood (2001) by introducing a conditional fork node heuristic, to facilitate analysis and aggregation of function models across multiple modes of operation of the system. The empirical validation of the SSFD function modeling framework is discussed in relation to its application to two case studies: a benchmark problem (glue gun) set for the engineering design community; and an industrial case study of an electric vehicle powertrain. Based on the evidence from the two case studies presented in the paper, a critical evaluation of the SSFD function modeling methodology is discussed based on the function benchmarking framework established by Summers et al. (2013), considering the representation, modeling, cognitive, and reasoning characteristics. The significance of this paper is that it establishes a rigorous reference framework for the SSFD function representation and a consistent methodology to guide the practitioner with its deployment, facilitating its impact to industrial practice.

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“…Recent years have seen increasing interest in low‐voltage (<60 V) traction systems for mild hybrid electric vehicles [1–5]. Many electric vehicles use higher voltages – typically between 300 and 800 V DC [6] – to obtain greater efficiencies from the easier design of faster, more power dense, machines, and reduce losses due to lower currents [7].…”

Section: Introductionmentioning

confidence: 99%