Determination of potential value drivers by identifying customer expectations and perceived value

The purpose of this exploratory research is to identify the potential value drivers regarding a new service offering. More specifically, the aim is to build understanding of customer expectations and perceived value of energy efficiency solutions in the building’s sector. The knowledge is then used in defining potential value drivers. The research is conducted from the customer’s perspective in a business-to-business context. The theory part of the master’s thesis focuses on discussing the antecedents of customer expectations and customer value. The theory gives implications how to determine value drivers and develop value propositions as well as conduct value assessment. The empirical part is based on the qualitative research method. The research was conducted as a single-case study, and the primary data was collected through semi-structured interviews with potential customers. The results of the research revealed that the customer expectations are connected to being able to define value drivers. In addition, the research revealed generic themes relating to the offering and customer-supplier relationship, which help in the process of identifying potential value drivers. The results were discussed in terms of product-, service-, price- and relationship-related value drivers for the new service. Based on the data analysis the dominant value drivers are elaborated in terms of identified customer benefits and customer sacrifices (costs). Finally, some implications of value proposition and value assessment to support the value delivery were given.

Determination of the thermal parameters of high-power batteries by local heat

A new approach to the determination of the thermal parameters of high-power batteries is introduced here. Application of local heat flux measurement with a gradient heat flux sensor (GHFS) allows determination of the cell thermal parameters in di_erent surface points of the cell. The suggested methodology is not cell destructive as it does not require deep discharge of the cell or application of any charge/discharge cycles during measurements of the thermal parameters of the cell. The complete procedure is demonstrated on a high-power Li-ion pouch cell, and it is verified on a sample with well-known thermal parameters. A comparison of the experimental results with conventional thermal characterization methods shows an acceptably low error. The dependence of the cell thermal parameters on state of charge (SoC) and measurement points on the surface was studied by the proposed measurement approach.