Application of Robust Design Methodology to Battery Packs for Electric Vehicles : Identification of Critical Technical Requirements for Modular Architecture

Shashank Arora, Ajay Kapoor, Weixiang Shen

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Modularity-in-design of battery packs for electric vehicles (EVs) is crucial to offset their high manufacturing cost. However, inconsistencies in performance of EV battery packs can be introduced by various sources. Sources of variation affect their robustness. In this paper, parameter diagram, a value-based conceptual analysis approach, is applied to analyze these variations. Their interaction with customer requirements, i.e., ideal system output, are examined and critical engineering features for designing modular battery packs for EV applications are determined. Consequently, sources of variability, which have a detrimental effect on mass-producibility of EV battery packs, are identified and differentiated from the set of control factors. Theoretically, appropriate control level settings can minimize sensitivity of EV battery packs to the sources of variability. In view of this, strength of the relationship between ideal system response and various control factors is studied using a “house of quality” diagram. It is found that battery thermal management system and packaging architecture are the two most influential parameters having the largest effect on reliability of EV battery packs. More importantly, it is noted that heat transfer between adjacent battery modules cannot be eliminated. For successful implementation of modular architecture, it is, therefore, essential that mechanical modularity must be enabled via thermal modularity of EV battery packs.
Original languageEnglish
Article number30
Number of pages25
JournalBatteries
Volume4
Issue number3
DOIs
Publication statusPublished - 2 Jul 2018
MoE publication typeA1 Journal article-refereed

Keywords

  • P-diagram
  • House of Quality
  • Lightweight and Compact Battery Packaging
  • Ease of Manufacturing/Assembly
  • Vehicle Impact and Crashworthiness
  • Thermal Reliability

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