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Battery packs are highly sensitive to operating environment and their interactions with other systems in electric vehicles (EVs). Control of the operating environment and understanding of the influences of these interactions on battery performances are required to maximise their energy capacity and cycle life in EVs. This paper presents a modified parameter diagram (P-diagram) which is a part of systematic effort to design a robust battery pack. In the modified P-diagram, the physical inputs that affect the performance of a battery pack are identified and categorised into noise factors and control factors, where the former limits the performance and the latter can be used to improve it. Different noise factors are conceptually analysed in conjunction with various control factors and graded according to their relative influence on the performance of a battery pack. The performance is measured in terms of ideal function output and potential error states.

Increased demands on rare earth fossil fuels and the global warming have led to development of alternative technology vehicles. Electrical vehicle (EV) is chosen as one of the alternative technology to overcome these hindrances. In EVs the battery and the motor are the two most critical components used for generating the required power output. In this paper, work was done for selection battery technology and relevant packaging for a small car. The work done is described in four stages: i) battery selection based on literature, ii) car selection based on virtual reality (VR) study iii) battery package design, and iv) finally specification sheet was developed for an EV. Key Objectives considered for the battery selection are: i) minimal maintenance, ii) modular and scalable, iii) high energy density, iv) optimized thermal management, and v) low cost implications.