Chapter 22
Analysis of Electric Vehicle Batteries
Recoverability Through a Dynamic Fleet
Based Approach
Fernando Enzo Kenta Sato and Toshihiko Nakata
Abstract The aim of this study is to propose a dynamic model for forecasting the
changes in the number of batteries recovered from end of life electric vehicles considering different power trains. To achieve a sustainable society, the dependency of the
energy on fossil fuels must be overcome. One of the first steps to manage this objective is through the reduction of its direct consumption by the wide-scale adoption of
EV (HV/PHV/BEV/FCV). Low cost and stable production of lithium ion batteries
(LiB) are expected to be a key element for the electrification of the transportation.
For this reason, an efficient cascade use of electric vehicle batteries (EVB) to minimize its raw material supply risk, disposal risk, environmental impact and material
cost/consumption in its production process become essential. Additionally, by the
promotion of a closed loop life cycle, cost reduction in the end of life batteries treatments can be also expected. However, to grab this opportunity and create a sustainable
market, balance between the demand and recoverability of LiB must be clarified to
propose reliable second life projects. This study proposes a method based on system
dynamics modeling for forecasting the vehicle fleet, sales and end of life vehicles by
power train considering data of scrapping rates of vehicles by year of use. Moreover,
the supply potential of scrapped batteries from a reverse logistic scheme is analyzed.
Here, the Japanese vehicle market is considered as a case study and a timeframe
of 2018 to 2050 forecasted. Results indicate that the amount of scrapped EVB will
increase 45 times from 2020 to 2050. Moreover, a complete closed loop of them can
be expected around 2050 only if the exportation of used electric vehicles is hardly
diminished.
Keywords Electric vehicle batteries · Closed loop · Forecasting · Dynamic
modeling
F. E. K. Sato (B)
Cyclical Resource Promotion Division, Honda Motor Co., Ltd, Wako, Japan
e-mail: kenta_b_sato@hm.honda.co.jp
F. E. K. Sato · T. Nakata
Department of Management Science and Technology, Graduate School of Engineering, Tohoku
University, Sendai, Japan
© Springer Nature Singapore Pte Ltd. 2021
Y. Kishita et al. (eds.), EcoDesign and Sustainability I, Sustainable Production, Life Cycle
Engineering and Management, https://doi.org/10.1007/978-981-15-6779-7_22
309
Analysis of Electric Vehicle Batteries
Recoverability Through a Dynamic Fleet
Based Approach
Fernando Enzo Kenta Sato and Toshihiko Nakata
Abstract The aim of this study is to propose a dynamic model for forecasting the
changes in the number of batteries recovered from end of life electric vehicles considering different power trains. To achieve a sustainable society, the dependency of the
energy on fossil fuels must be overcome. One of the first steps to manage this objective is through the reduction of its direct consumption by the wide-scale adoption of
EV (HV/PHV/BEV/FCV). Low cost and stable production of lithium ion batteries
(LiB) are expected to be a key element for the electrification of the transportation.
For this reason, an efficient cascade use of electric vehicle batteries (EVB) to minimize its raw material supply risk, disposal risk, environmental impact and material
cost/consumption in its production process become essential. Additionally, by the
promotion of a closed loop life cycle, cost reduction in the end of life batteries treatments can be also expected. However, to grab this opportunity and create a sustainable
market, balance between the demand and recoverability of LiB must be clarified to
propose reliable second life projects. This study proposes a method based on system
dynamics modeling for forecasting the vehicle fleet, sales and end of life vehicles by
power train considering data of scrapping rates of vehicles by year of use. Moreover,
the supply potential of scrapped batteries from a reverse logistic scheme is analyzed.
Here, the Japanese vehicle market is considered as a case study and a timeframe
of 2018 to 2050 forecasted. Results indicate that the amount of scrapped EVB will
increase 45 times from 2020 to 2050. Moreover, a complete closed loop of them can
be expected around 2050 only if the exportation of used electric vehicles is hardly
diminished.
Keywords Electric vehicle batteries · Closed loop · Forecasting · Dynamic
modeling
F. E. K. Sato (B)
Cyclical Resource Promotion Division, Honda Motor Co., Ltd, Wako, Japan
e-mail: kenta_b_sato@hm.honda.co.jp
F. E. K. Sato · T. Nakata
Department of Management Science and Technology, Graduate School of Engineering, Tohoku
University, Sendai, Japan
© Springer Nature Singapore Pte Ltd. 2021
Y. Kishita et al. (eds.), EcoDesign and Sustainability I, Sustainable Production, Life Cycle
Engineering and Management, https://doi.org/10.1007/978-981-15-6779-7_22
309