Cycle-Life Curves Determination and Modelling of Commercially Available Electric Vehicle Batteries

In recent decades, there has been a growing concern about the trend of global emissions, and in particular those of the transport sector. In this context, the electric vehicle is a promising technology, with some barriers still to be overcome. Among these deficiencies everything related to storage technology is found. In this sense, lithium-ion batteries are one of the options to be considered, although it is necessary to continuously monitor the state of health. Cycle life vs DoD curves are very useful for characterizing profitability in any application that considers battery storage, as well as life cycle optimization studies. Cycle life refers to the number of charge-discharge cycles that a battery can provide before performance decreases to an extent that it cannot perform the required functions (e.g., 80% compared to a fresh one in electromobility applications). In this paper, a model for calculating the Cycle Life vs DoD curves is proposed, applied to a commercially available electric vehicle, the Renault Zoe. Modelling results show R squared coefficient of determinations above 0.9890.

Optimizing the Life Cycle of Physical Assets – a Review

Life cycle optimization has been a concern over decades; it has been clear that an asset well-kept will have a longer life with a higher return for the organization; this life cycle depends of several factors. The standard ISO 55001 defines a set of requirements that, when implemented and maintained, guarantee the good performance of an organization's asset management, responding to stakeholders need and expectations and ensuring the value creation and maintenance as well as a global vision of assets on the Optimizing the Life Cycle of Physical Assets. The organizations where physical asset management is of major importance include all those that involves facilities, machinery, buildings, roads and bridges, utilities, transportation industries, oil and gas extraction and processing, mining and mining processing, chemicals, manufacturing, distribution, aviation and defence. However, since ISO 55001 is a new standard in the global market, due to its necessity to involve all the organization its implementation becomes difficult; but, it is clear that an organization that certifies by the ISO 55001 is ahead on life cycle optimization because it is part of its requirements; so, what model of life cycle optimization to use? Is there anyone that fits on the ISO 55001? Can an existing one be adapted to be used according to ISO 55001 requirements? The approaches of this paper bring a literary review of life cycle models used in asset management and their major concerns, this is the beginning to build a model to optimize the life cycle of physical assets including the ISO 55001 perspective.