Electric batteries, Vol. 7, Pages 37: Methodology for the Optimisation of Battery Hybrid Power Storage Systems for Mass and Volume Using a Power-To-Energy Ratio Analysis

Batteries, Vol. 7, Pages thirty seven: Methodology for the Optimisation of Battery Hybrid Energy Storage Systems for Mass plus Volume Using a Power-To-Energy Ratio Analysis

Batteries doi: 10. 3390/batteries7020037

Authors: Gregory Tzermias Sam Akehurst Richard Burke Chris Brace Sunoj George Johan Bernards Christopher Jones

Increasingly stringent emission regulations and environmental worries have propelled the development of electrification technology in the transport industry. Yet, the greatest hurdle to developing completely electric vehicles is electrochemical energy storage, which challenges to achieve profitable specific power, specific energy plus cost targets. Hybrid power storage systems (HESSs), which usually combine energy- and power-optimised sources, seem to become the most promising option for improving the overall performance of energy storage. The potential for gravimetric and volumetric reduction is certainly strictly dependent on the particular overall power-to-energy ratio (PE ratio) of the application, product packaging factors, the minimum plus maximum PE ratio attainable for the system’s energy- and power-optimised sources plus the performance of energy electronics. This paper presents a simple optimisation methodology that considers these elements and identifies the optimal HESS requirements that may present new opportunities intended for a variety of vehicles where low weight plus volume are of higher importance. The simplicity associated with the method implies that choices relating to a HESS can be made earlier in the system design process. This process of analysis demonstrated that a battery HESS provides the potential to decrease cell mass and quantity by over 30% just for applications that are suitable to optimal HESS characteristics.

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Electric batteries, Vol. 7, Pages 39: Methodology for Determining Time-Dependent Lead Battery Failure Rates from Field Data

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