UKERC EDC: Data

https://data.ukedc.rl.ac.uk/browse/edc/ETI/ETI-TR1006

This resource links to a data we hold in our archive

Description:

The objective of the Consumers, Vehicles and Energy Integration project is to inform UK Government and European policy and to help shape energy and automotive industry products, propositions and investment strategies. Additionally, it aims to develop an integrated set of analytical tools that models future market scenarios in order to test the impact of future policy, industry and societal choices. The project is made up of two stages:

Stage 1 aims to characterize market and policy frameworks, business propositions, and the integrated vehicle and energy infrastructure system and technologies best suited to enabling a cost-effective UK energy system for low-carbon vehicles, using the amalgamated analytical toolset.
Stage 2 aims to fill knowledge gaps and validate assumptions from Stage 1 through scientifically robust research, including real world trials with privatevehicle consumers and case studies with business fleets. A mainstream consumer uptake trial will be carried out to measure attitudes to PiVs after direct experience of them, and consumer charging trials will measure mainstream consumer PiV charging behaviours and responses to managed harging options

This spreadsheet is part of Deliverable D3.2, Battery State of Health Model, and accompanies the report on the development and validation of an algorithm that quantifies battery ageing based on input parameters that can be either inferred from Electric Vehicle (EV) usage or measured on-board. It contains the Battery State of Health Model, which provides a relatively high-level overview of battery degradation and state of health, which will be further developed during Stage 2 of the project

Creator:

Duboviks, V., Element Energy Ltd

Publisher:

ETI

DOI:

https://doi.org/10.5286/UKERC.EDC.000929

Citation (APA Style 7th Edition):

Duboviks, V., Element Energy Ltd (2015). Consumers, Vehicles and Energy Integration (CVEI) - D3.2. Battery State of Health Model (Excel model) [Data set]. ETI. https://doi.org/10.5286/UKERC.EDC.000929

Energy Categories

Class Name:

Subclass Name:

Category Name:

Energy Efficiency

Transport

Other Power and Storage Technologies

Energy storage

Field Dates:

01/01/2009 - 31/12/2018

Data Date Range:

01/01/2015 - 31/12/2040

Data type:

Model

Data format:

application/excel

Language:

English

Number of Units:

No unit numbers supplied

Unit Type:

No units supplied

Number of Records:

No records supplied

Parameters:

No parameters supplied

Rights:

Energy Technologies Institute Open Licence for Materials

Rights Overview:

The Energy Technologies Institute is making this document available to use under the Energy Technologies Institute Open Licence for Materials. Please refer to the Energy Technologies Institute website for the terms and conditions of this licence. The Information is licensed "as is" and the Energy Technologies Institute excludes all representations, warranties, obligations and liabilities in relation to the Information to the maximum extent permitted by law. The Energy Technologies Institute is not liable for any errors or omissions in the Information and shall not be liable for any loss, injury or damage of any kind caused by its use. This exclusion of liability includes, but is not limited to, any direct, indirect, special, incidental, consequential, punitive, or exemplary damages in each case such as loss of revenue, data, anticipated profits, and lost business. The Energy Technologies Institute does not guarantee the continued supply of the Information. Notwithstanding any statement to the contrary contained on the face of this document, the Energy Technologies Institute confirms that it has the right to publish this document.

Further information:

N/A

Region:

United Kingdom

Sector:

Commercial

Subject:

Transport

Related Dataset(s):

No related datasets

Related Project(s):

Consumers, Vehicles and Energy Integration (CVEI)