1. Introduction
During the last years, several authors have analyzed the developments and future of electric mobility [
1,
2,
3]. The International Energy Agency (IEA), in the global electric vehicle (EV) outlook 2022 report, analyzed recent developments in electric mobility including an analysis of the supply chain of batteries for electric vehicles. The results indicated that sales of electric vehicles were growing at an exponential rate such as in 2021; when they doubled compared to the previous year; being the main drawback for the sales of electric vehicles the price of materials for the manufacture of batteries. In [
4], it is pointed out that around 230 million EVs will circulate in 2030, whose battery needs can be reduced through reuse, recycling, circular economy, and improvements in technology. It was identified a decrease in the price of batteries by 2050 in [
5], but the obstacle of increasing the price of materials due to their scarcity still exists, as was affirmed in [
6]. With this scenario of growth in EV sales and the depletion of materials for the manufacture of battery cells, it can be identified the following problems: (i) the large number of batteries to be discarded at the end of their useful life, a number that probably will be growing exponentially as well as the sale of vehicles, (ii) a relevant waste problem due to difficulties to recycle and reuse. Preeti and Sayali [
7] conducted some considerations regarding the problem of EV recycling batteries. According to the specific literature, 113 publications focused on the recycling of these batteries can be identified. (iii) a problem due to the lack of materials for the manufacture of batteries.
It can be found initiatives to extend the useful life of batteries, by using them for lower demanding services than in vehicles. For example, for the storage of renewable energies, where batteries that have lost part of their health are still used for this type of storage, not the system being affected by being a stationary system and not having large space requirements, or to supply during peak periods of distribution power systems [
8]. Other studies describe the feasibility of giving a second use to lithium batteries from electric vehicles in communications bases, concluding that the use of batteries in second life reduces processing loads and environmental impact. In [
9], it was analyzed how the EV batteries at the end of their life can serve as emergency storage in high population places, providing additional grid storage options to the grid under possible disasters. In this way, [
10] estimated a 56% reduction in CO2 emissions compared to supplying that need with natural gas. In [
11], it is concluded through a cascade life cycle analysis (LCA) the potential decreasing in five main indicators: Global warming potential, photochemical oxidation formation potential (POFP), particulate matter formation potential (PMFP), freshwater eutrophication potential (FEP), and fossil-resource depletion potential (FDP)based on the use of EV vehicle batteries in stationary applications after the end of the useful life of these batteries in vehicles. In [
12], and through a life cycle analysis, it was established that the reduction of greenhouse gases (GHG) in different types of lithium batteries varied between 2.76 and 4.55 kg CO
2/kg of battery depending on the technology used for recycling, comparing recycled batteries to the production of new ones. Other contributions, such as [
13], analyzed the situation in China, comparing the recycling of electric vehicles through an LCA, concluding that, if they were recycled at the end of their life, a GHG saving of 34% could be achieved in comparison to their production processes. Indeed, notwithstanding the potential extension of battery lifespan, eventual disposal becomes inevitable, categorizing them as waste materials.
There are numerous contributions describing solutions to give batteries a second life, such as [
14,
15,
16] [
17,
18]. They concluded that reusing the battery is a remarkable option as it would delay the need for battery recycling. Moreover, it would also allow battery recycling companies to develop cost and energy efficient processes. In [
19], it is noted that the industry is currently not prepared for mass dismantling of batteries that can generate recycling and a true circular economy. Therefore, it is necessary to modify the design of batteries by including dismantling and recycling in this criterion. In most of the proposed solutions, the authors assert the imperative of extending the operational longevity of batteries, thereby mitigating both economic and environmental ramifications. However, it is inevitable that they will ultimately deplete and transition into waste material necessitating recycling measures. Technologies for recycling lead acid type batteries are well known [
20]. However, there is a lack of contributions focused on battery technologies for hybrid and electric vehicles. Recent contributions can be found in [
21,
22,
23] [
24], mainly evaluating waste treatment processes. Subsequently, exploring alternative solutions such as battery regeneration becomes imperative. Rather than disposing of batteries at the end of their lifespan, regeneration offers the prospect of transforming them back into functional products. Moreover, this approach mitigates the issue of soaring raw material costs by obviating the need for fresh materials in manufacturing.
Battery regeneration is known and used for a long time in lead acid battery technologies [
25]. However, there are minor contributions for battery regeneration purposes applied to other technologies. In [
26], four methods for regenerating NiMH batteries are delineated. One method necessitates disassembling the battery structure to access the materials for regeneration. Another method lacks sufficient data for replication. A third method involves a charging technique that extends battery lifespan more effectively than regeneration. The fourth method, outlined in patent WO2015092107A1 [
27], proposes regenerating batteries comprising multiple cells according to a specified cycle detailed in the patent. After the patent's publication, no further scientific literature has emerged either substantiating or refuting its efficacy.
Table 1 summarizes these contributions. Additionally, there a lack of technical services specializing in battery regeneration based on this patent's method or any other alternative approach. Under this framework, this paper aims to assess in a practical and suitable manner the regeneration process of NiMH batteries based on the method outlined in the previous patent. This evaluation is conducted through a prototype developed by the authors and through real-test experiment involving the practical application of the method to a deteriorated Toyota Prius battery. The results provide valuable insights into its feasibility. The objectives of this work thus include a prototype proposed by the authors to verify the described patent performance in terms of battery regeneration purposes, which can be extended and used in other battery regeneration solutions based on charging-discharging controlled cycles.
The rest of the paper is structured as follows. Technical characteristics, electrical diagrams and components are described in detail in
Section 2. In addition, the proposed method to evaluate the patent performance can be also found in
Section 2. Results for this case study are provided in
Section 3 and discussed in
Section 4. Finally, conclusions are given in
Section 5.
3. Case Study
To assess the functionality outlined in the patent, the initial step involves selecting the cells for experimentation. To accomplish this, two Toyota Prius batteries comprising a collective total of 56 cells were utilized, and the health status of each cell was meticulously evaluated. Various methods exist for evaluating cell health, as documented in [
32,
33,
34] [
35]. In this instance, the approach outlined in [
36] was adopted, wherein the State of Charge (SOC) is defined as the percentage of remaining capacity relative to the maximum available capacity of the battery [
37]. This parameter can be expressed as:
where Cr represents the residual capacity available for powering electric devices, while Cm denotes the maximum storage capacity of the cell, determined by its electrochemical characteristics. For the cells under consideration in this study, as per manufacturer specifications, each cell has a capacity of Cm = 46.42 Wh. To ascertain Cr, a series of charging cycles were conducted on each cell, reaching various charge levels, followed by discharging cycles to evaluate the amount of Wh discharged.
In the aforementioned literature, various methodologies are established for determining the State of Charge (SOC) of battery cells, as evidenced in publications such as [
38,
39]. However, in this specific investigation, charging and discharging procedures were conducted without adherence to any methods outlined in scientific literature, in order to replicate the conditions stipulated in the patent. Initially, each cell was individually charged at a rate of 0.5 A until reaching a voltage of 8V, considering the nominal voltage of the cells to be 7.2 V. Subsequently, each cell was discharged at a rate of 0.5 A until reaching a minimum voltage of 2V. It was observed that the discharge of any cell did not exceed 9 Wh in any instance, indicating a maximum State of Health (SOH) of 19.39%. Subsequently, a series of charging cycles were conducted with the same intensity as before, while controlling the amount of energy charged. Following this, the cells were discharged, with the energy discharged measured to determine the Cc/Cm ratio, where Cc represents the charged energy. Concurrently, the SOH of each cell was calculated. The findings revealed that increasing the charged energy, up to 15 Wh, did not proportionally increase the amount of energy discharged, with some cells discharging up to 10.64 Wh, equivalent to a maximum SOH of 22.92% and a mean SOH of 18.22%. Based on the assessment of the SOH of the battery, it can be inferred that all cells are in a similar state, and notably, below the 20% SOH threshold, indicative of the end of the battery life, as can be found in [
40].
Following the assessment of battery condition, 21 cells were identified and selected based on their highest State of Health (SOH) or those deemed to be in suitable operational condition. It is noteworthy that some cells exhibited sulfated terminals yet were deemed viable for operation after following the instructions outlined in patent [
27]. Subsequently, each of the selected cells underwent a charging process at a constant rate of 0.5 A, followed by a discharge phase conducted in two stages. Initially, a rapid discharge was executed at 6.5 A until reaching a voltage of 5.4 V. This was succeeded by a continuous discharge at a rate of 0.6 A until reaching a cut-off voltage of 2.4 V. Throughout this procedure, both the energy charged and discharged were meticulously measured to ascertain the relationship between the two and to determine the SOH of each cell.
According to the patent, the regeneration process outlined entails an anticipated enhancement in both charge and discharge capacity, as well as an improvement in the SOH of the cell. Nevertheless, to ascertain the efficacy of the regeneration process, it has been iteratively repeated up to 9 times. Between each repetition, a predetermined cooling period, as stipulated in the patent, has been adhered to. This cooling interval ensures that the cells attain a sufficient temperature equilibrium, thereby preventing premature degradation and ensuring the integrity of the data collected. The rationale behind this iterative approach is to detect any trends indicative of improving cell characteristics, thereby gauging the success of the regeneration process, even if complete regeneration is not achieved in the initial cycle.
4. Results
The outcomes of the regeneration process are depicted in the subsequent graphs.
Figure 12 illustrates the energy discharged from one of the cells following nine iterations of the regeneration procedure. While a discernible trend towards enhanced discharge capacity appears evident with each successive regeneration, it is notable that the cell's discharge values persist at markedly low levels. In
Figure 13, a comprehensive view of the regeneration process is provided, depicting the discharge energy for all cells subjected to the regeneration procedure concurrently. The graph allows for a comparative analysis across multiple cells, offering insights into the collective efficacy of the regeneration process. While similar trends of marginal improvement in discharge capacity can be observed across the cells over successive regeneration cycles, it is evident that the overall discharge values remain persistently low. This collective observation underscores the challenge in achieving substantial enhancements in cell performance through the regeneration process, despite repeated iterations.
Figure 14 presents the progression of the relationship between discharged energy and charged energy throughout each regeneration process for individual cells. It provides a comprehensive overview of how the discharged energy compares to the energy charged during each iteration of the regeneration process. Notably, in instances where the regeneration process has been executed, a noteworthy trend towards unity is anticipated, signifying a consistent ratio between discharged and charged energy. The convergence towards a value close to unity suggests a potential stabilization or normalization of the energy balance within the cells following the regeneration process. This trend underscores the objective of achieving equilibrium between the energy input during charging and the energy output during discharge, indicative of an optimized cell performance.
Figure 15 shows the dynamic evolution of the SOH across successive regeneration processes for individual cells. It provides a detailed examination of how the SOH of each cell evolves throughout the regeneration procedure. In cases where the regeneration process has been effective, a conspicuous trend towards a value approaching 100% is anticipated. This trajectory would signify a significant improvement in the health and functionality of the cells, approaching their optimal state. Conversely, a lack of discernible improvement or a trend towards values significantly below 100% would suggest limited efficacy of the regeneration process in restoring the cells to their optimal health. By monitoring the SOH over multiple cycles, valuable insights into the effectiveness and sustainability of the regeneration process can be gleaned, informing future strategies for battery maintenance and regeneration purposes.
As a general result, the analysis affirms that the regeneration process has not yielded significant effects, as evidenced by the failure to achieve SOH values surpassing 23% across all cells. Additionally, a lack of discernible trends is observed in most cells, suggesting that further iterations of the regeneration process may not yield substantial improvements in SOH. While a discernible trend is observable in a select few cells, its clarity is limited, and the overall efficacy of the regeneration process remains uncertain. Consequently, the data indicates that the current regeneration methodology may not be sufficiently robust in restoring cells to optimal health levels. These findings underscore the need for reassessment and refinement of the regeneration approach to enhance its effectiveness and achieve meaningful improvements in cell performance. Additionally, further investigation into alternative regeneration techniques or supplementary interventions may be warranted to address the observed limitations and optimize the rejuvenation of battery cells.
Figure 16,
Figure 17, and
Figure 18 provide a detailed evaluation of the SOH evolution for cells that have exhibited comparatively higher SOH values within the overall Case Study cohort. These figures offer insights into the progression of SOH across multiple regeneration cycles for select cells that have demonstrated superior performance relative to their counterparts. Notably, a notable improvement in SOH is observed with each successive regeneration cycle, with enhancements ranging between 47% and 58%. This observed trend underscores the potential for substantial improvements in cell health through iterative regeneration processes, particularly in cells exhibiting initially higher SOH values. The consistent upward trajectory in SOH values across multiple cycles suggests a promising avenue for achieving significant enhancements in cell performance and longevity. However, further analysis is warranted to discern the underlying factors contributing to the observed improvements and to assess the sustainability of these gains over extended periods of operation. These findings underscore the importance of ongoing monitoring and optimization of regeneration processes to maximize the efficacy of battery maintenance strategies.