scholarly journals Impacts of Driving Conditions on EV Battery Pack Life Cycle

2020 ◽  
Vol 11 (1) ◽  
pp. 17 ◽  
Author(s):  
Huijun Liu ◽  
Fenfang Chen ◽  
Yuxiang Tong ◽  
Zihang Wang ◽  
Xiaoli Yu ◽  
...  
Keyword(s):  
Life Cycle ◽  
Test Procedure ◽  
Lithium Ion ◽  
Driving Cycle ◽  
Battery Pack ◽  
Battery Life ◽  
Ambient Temperatures ◽  
Battery Capacity ◽  
Driving Conditions ◽  
The Impact

The aging of lithium-ion batteries (LIBs) is a crucial issue and must be investigated. The aging rate of LIBs depends not only on the material and electrochemical performance but also on the working conditions. In order to assess the impact of vehicle driving conditions, including the driving cycle, ambient temperature, charging mode, and trip distance on the battery life cycle, this paper first establishes an electric vehicle (EV) energy flow model to solve the operating parameters of the battery pack while working. Then, a powertrain test is carried out to verify the simulation model. Based on the simulated data under different conditions, the battery capacity fade process is estimated by using a semi-empirical aging model. The mileage (Ф) traveled by the vehicle before the end of life (EOL) of the battery pack is then calculated and taken as the evaluation index. The results indicate that the Ф is higher when the vehicle drives the Japanese chassis dynamometer test cycle JC08 than in the New European Driving Cycle (NEDC) and the Federal Test Procedure (FTP-75). The Ф will be dramatically reduced at both low and high ambient temperatures. Fast charging can increase the Ф at low ambient temperatures, whereas long trip driving can always increase Ф to varying degrees.

scholarly journals Advances of 2nd Life Applications for Lithium Ion Batteries from Electric Vehicles Based on Energy Demand

2021 ◽  
Vol 13 (10) ◽  
pp. 5726
Author(s):  
Aleksandra Wewer ◽  
Pinar Bilge ◽  
Franz Dietrich
Keyword(s):  
Life Cycle ◽  
Lithium Ion Batteries ◽  
Electric Vehicles ◽  
Energy Demand ◽  
Lithium Ion ◽  
Life Cycles ◽  
Future Research ◽  
Research Areas ◽  
Study Results ◽  
The Impact

Electromobility is a new approach to the reduction of CO2 emissions and the deceleration of global warming. Its environmental impacts are often compared to traditional mobility solutions based on gasoline or diesel engines. The comparison pertains mostly to the single life cycle of a battery. The impact of multiple life cycles remains an important, and yet unanswered, question. The aim of this paper is to demonstrate advances of 2nd life applications for lithium ion batteries from electric vehicles based on their energy demand. Therefore, it highlights the limitations of a conventional life cycle analysis (LCA) and presents a supplementary method of analysis by providing the design and results of a meta study on the environmental impact of lithium ion batteries. The study focuses on energy demand, and investigates its total impact for different cases considering 2nd life applications such as (C1) material recycling, (C2) repurposing and (C3) reuse. Required reprocessing methods such as remanufacturing of batteries lie at the basis of these 2nd life applications. Batteries are used in their 2nd lives for stationary energy storage (C2, repurpose) and electric vehicles (C3, reuse). The study results confirm that both of these 2nd life applications require less energy than the recycling of batteries at the end of their first life and the production of new batteries. The paper concludes by identifying future research areas in order to generate precise forecasts for 2nd life applications and their industrial dissemination.

scholarly journals Development of Life-cycle Detection and Extending Function for Reusing Automotive Lithium-ion Battery – Verified in 52V LiMnNiCoO2 Platform

2020 ◽  
Author(s):  
Wu-Yang Sean ◽  
Ana Pacheco
Keyword(s):  
Life Cycle ◽  
Lithium Ion Battery ◽  
Management System ◽  
Open Circuit Voltage ◽  
Lithium Ion ◽  
Open Circuit ◽  
Battery Pack ◽  
Battery Management System ◽  
Battery Management ◽  
Cycle Detection

Abstract For reusing automotive lithium-ion battery, an in-house battery management system is developed. To overcome the issues of life cycle and capacity of reused battery, an online function of estimating battery’s internal resistance and open-circuit voltage based on adaptive control theory are applied for monitoring life cycle and remained capacity of battery pack simultaneously. Furthermore, ultracapacitor is integrated in management system for sharing peak current to prolong life span of reused battery pack. The discharging ratio of ultracapacitor is adjusted manually under Pulse-Width-Modulation signal in battery management system. In case study in 52V LiMnNiCoO2 platform, results of estimated open-circuit voltage and internal resistances converge into stable values within 600(s). These two parameters provide precise estimation for electrical capacity and life cycle. It also shows constrained voltage drop both in the cases of 25% to 75% of ultracapacitors discharging ratio compared with single battery. Consequently, the Life-cycle detection and extending functions integrated in battery management system as a total solution for reused battery are established and verified.

scholarly journals A Fuzzy-Based Product Life Cycle Prediction for Sustainable Development in the Electric Vehicle Industry

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3918 ◽  
Author(s):  
Yung Po Tsang ◽  
Wai Chi Wong ◽  
G. Q. Huang ◽  
Chun Ho Wu ◽  
Y. H. Kuo ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Life Cycle ◽  
Electric Vehicle ◽  
Product Life Cycle ◽  
Sustainable Transportation ◽  
Battery Pack ◽  
Transport Systems ◽  
Battery Life ◽  
Inference System ◽  
Product Life

The development of electric vehicles (EVs) has drawn considerable attention to the establishment of sustainable transport systems to enable improvements in energy optimization and air quality. EVs are now widely used by the public as one of the sustainable transportation measures. Nevertheless, battery charging for EVs create several challenges, for example, lack of charging facilities in urban areas and expensive battery maintenance. Among various components in EVs, the battery pack is one of the core consumables, which requires regular inspection and repair in terms of battery life cycle and stability. The charging efficiency is limited to the power provided by the facilities, and therefore the current business model for EVs is not sustainable. To further improve its sustainability, plug-in electric vehicle battery pack standardization (PEVBPS) is suggested to provide a uniform, standardized and mobile EV battery that is managed by centralized service providers for repair and maintenance tasks. In this paper, a fuzzy-based battery life-cycle prediction framework (FBLPF) is proposed to effectively manage the PEVBPS in the market, which integrates the multi-responses Taguchi method (MRTM) and the adaptive neuro-fuzzy inference system (ANFIS) as a whole for the decision-making process. MRTM is formulated based on selection of the most relevant and critical input variables from domain experts and professionals, while ANFIS takes part in time-series forecasting of the customized product life-cycle for demand and electricity consumption. With the aid of the FPLCPF, the revolution of the EV industry can be revolutionarily boosted towards total sustainable development, resulting in pro-active energy policies in the PEVBPS eco-system.

scholarly journals Use-Phase Drives Lithium-Ion Battery Life Cycle Environmental Impacts When Used for Frequency Regulation

2018 ◽  
Vol 52 (17) ◽  
pp. 10163-10174 ◽  
Author(s):  
Nicole A. Ryan ◽  
Yashen Lin ◽  
Noah Mitchell-Ward ◽  
Johanna L. Mathieu ◽  
Jeremiah X. Johnson
Keyword(s):  
Life Cycle ◽  
Lithium Ion Battery ◽  
Environmental Impacts ◽  
Lithium Ion ◽  
Frequency Regulation ◽  
Battery Life ◽  
Use Phase

scholarly journals Life Cycle Analysis of Lithium-Ion Batteries for Automotive Applications

Batteries ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. 48 ◽  
Author(s):  
Qiang Dai ◽  
Jarod C. Kelly ◽  
Linda Gaines ◽  
Michael Wang
Keyword(s):  
Life Cycle ◽  
Lithium Ion Batteries ◽  
Environmental Impacts ◽  
Life Cycle Analysis ◽  
Large Scale ◽  
Energy Use ◽  
Lithium Ion ◽  
Primary Data ◽  
Future Research ◽  
Battery Life

In light of the increasing penetration of electric vehicles (EVs) in the global vehicle market, understanding the environmental impacts of lithium-ion batteries (LIBs) that characterize the EVs is key to sustainable EV deployment. This study analyzes the cradle-to-gate total energy use, greenhouse gas emissions, SOx, NOx, PM10 emissions, and water consumption associated with current industrial production of lithium nickel manganese cobalt oxide (NMC) batteries, with the battery life cycle analysis (LCA) module in the Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET) model, which was recently updated with primary data collected from large-scale commercial battery material producers and automotive LIB manufacturers. The results show that active cathode material, aluminum, and energy use for cell production are the major contributors to the energy and environmental impacts of NMC batteries. However, this study also notes that the impacts could change significantly, depending on where in the world the battery is produced, and where the materials are sourced. In an effort to harmonize existing LCAs of automotive LIBs and guide future research, this study also lays out differences in life cycle inventories (LCIs) for key battery materials among existing LIB LCA studies, and identifies knowledge gaps.

scholarly journals Lithium-Ion Battery Management System: A Lifecycle Evaluation Model for the Use in the Development of Electric Vehicles

2018 ◽  
Vol 144 ◽  
pp. 04020 ◽  
Author(s):  
Ayush Sisodia ◽  
Jonathan Monteiro
Keyword(s):  
Life Cycle ◽  
Lithium Ion Battery ◽  
Electric Vehicles ◽  
Evaluation Model ◽  
Lithium Ion ◽  
Battery Life ◽  
Battery Management System ◽  
Battery Management ◽  
System A

The use of Lithium-ion batteries in the automobile sector has expanded drastically in the recent years. The foreseen increment of lithium to power electric and hybrid electric vehicles has provoked specialists to analyze the long term credibility of lithium as a transportation asset. To give a better picture of future accessibility, this paper exhibits a life cycle model for the key procedures and materials associated with the electric vehicle lithium-ion battery life cycle, on a worldwide scale. This model tracks the flow of lithium and energy sources from extraction, to generation, to on road utilization, and the role of reusing and scrapping. This life cycle evaluation model is the initial phase in building up an examination model for the lithium ion battery production that would enable the policymakers to survey the future importance of lithium battery recycling, and when in time setting up a reusing foundation be made necessary.

scholarly journals Quest for Sustainability: Life-Cycle Emissions Assessment of Electric Vehicles Considering Newer Li-Ion Batteries

2019 ◽  
Vol 11 (8) ◽  
pp. 2366 ◽  
Author(s):  
Arminda Almeida ◽  
Nuno Sousa ◽  
João Coutinho-Rodrigues
Keyword(s):  
Life Cycle ◽  
Electric Vehicles ◽  
Electricity Generation ◽  
Combustion Engine ◽  
Statistical Significance ◽  
Sustainable Transportation ◽  
Assessment Model ◽  
Battery Capacity ◽  
Li Ion ◽  
The Impact

The number of battery electric vehicle models available in the market has been increasing, as well as their battery capacity, and these trends are likely to continue in the future as sustainable transportation goals rise in importance, supported by advances in battery chemistry and technology. Given the rapid pace of these advances, the impact of new chemistries, e.g., lithium-manganese rich cathode materials and silicon/graphite anodes, has not yet been thoroughly considered in the literature. This research estimates life cycle greenhouse gas and other air pollutants emissions of battery electric vehicles with different battery chemistries, including the above advances. The analysis methodology, which uses the greenhouse gases, regulated emissions, and energy use in transportation (GREET) life-cycle assessment model, considers 8 battery types, 13 electricity generation mixes with different predominant primary energy sources, and 4 vehicle segments (small, medium, large, and sport utility vehicles), represented by prototype vehicles, with both battery replacement and non-replacement during the life cycle. Outputs are expressed as emissions ratios to the equivalent petrol internal combustion engine vehicle and two-way analysis of variance is used to test results for statistical significance. Results show that newer Li-ion battery technology can yield significant improvements over older battery chemistries, which can be as high as 60% emissions reduction, depending on pollutant type and electricity generation mix.

Maintaining a Constant Charging Duration Independent of Battery Capacity for Battery Pack by Designing a Fast DC Charger

2019 ◽  
Vol 8 (3) ◽  
pp. 102-116
Author(s):  
Bassam Atieh ◽  
Mohammad Fouad Al-sammak
Keyword(s):  
Lower Cost ◽  
Lithium Ion ◽  
Power Source ◽  
Battery Pack ◽  
Simulation Environment ◽  
Electronic Components ◽  
Battery Capacity ◽  
Li Ion ◽  
Novel Strategy ◽  
Usage Flexibility

This article proposes a novel strategy for developing a new structure for a lithium-ion battery pack fast charger which aims to achieve fast DC charging, based on the topology of a boost converter. The proposed charger has been designed considering using fewer electronic components at lower cost. Varying initial charging percentage of the Li-ion cells has not been addressed in this article, an equal initial charging percentage of each Li-ion cell is assumed. Performance of the proposed structure of the charger has been tested using a simulation environment. This strategy has shown that this structure ensures scalability of this charger, while using the utility grid (220V, 50Hz) as a main power source for this charger has ensured practical usage flexibility. The results of this research are presented and discussed. These results have shown the outstanding performance and response of this charger.

Advanced Performance Estimation Model for Lithium-Ion Power Battery Used in Pure Electric Vehicles

2014 ◽  
Vol 472 ◽  
pp. 379-388
Author(s):  
Ling Juan Li ◽  
Ming Ming Liu ◽  
J.R. Linna ◽  
Guo Hua Ye ◽  
Xiao Bing Liu
Keyword(s):  
Lithium Ion ◽  
Driving Cycle ◽  
Performance Model ◽  
Performance Estimation ◽  
Parameter Analysis ◽  
Battery Pack ◽  
Maximum Speed ◽  
Estimation Model ◽  
Li Ion ◽  
Traction Power

The growing demand for accurate performance simulations of high-power Li-ion traction batteries requires a fast and effective method. In this paper, an advanced estimation model is proposed to evaluate Li-ion traction battery performance in pure electric vehicle (PEV) applications. The estimation model, which combines road load simulation and lumped parameter analysis, can predict vehicle traction power requirements and entire battery performance parameters both for charge (regenerative braking or grid charging) and discharge (traction power) processes. The model is validated for a battery pack in aPEVoperating over three representative driving cycles: (i) the new European driving cycle (NEDC), (ii) 60km/h constant speed driving cycle, and (iii) 30min maximum speed driving cycle. The results show that the combined performance model output corresponds well with measured data. Thus, this new proposed model can be used to validate battery pack performance during in-vehicle use with reasonable accuracy.

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