Environmental and economic reasons have lead automotive companies towards the direction of EVs and HEVs. Stricter emission legislations along with the consumer needs for more cost-efficient and environmental friendly vehicles have increased immensely the amount of hybrid and electric vehicles available in the market. It is essential though for Li-ion batteries, the main propulsion force of EVs and HEVs, to be able to read the battery characteristics in a high accuracy manner, predict life expectancy and behaviour and act accordingly. The following thesis constitutes a concept study of a battery diagnostics method. The method is based on the notion of a pseudo-random binary signal used as the current input and from its voltage response, the impedance is used for the estimation of parameters such as the state of charge and more. The feasibility of the PRBS method at a battery cell has been examined through various tests, both in an experimental manner at the lab but also in a simulation manner. The method is compared for validation against the electrochemical impedance spectroscopy method which is being used as a reference. For both the experimental and the simulation examinations, the PRBS method has been validated and proven to work. No matter the change in the parameters of the system, the method behaves in a similar manner as in the reference EIS method. The level of detail in the research and the performed experiments is what makes the significance of the results of high importance. The method in all ways has been proven to work in the concept study and based on the findings, if implemented on an EV’s or HEV’s electric drive line and the same functionality is observed, be used as a diagnostics method of the battery of the vehicle.

One of the most important sources of the world development is energy and Battery energy storage systems (BESS) have emerged as crucial components in transitioning from conventional energy systems to more sustainable and environmentally friendly alternatives. Despite BESS’s importance, the dissemination of knowledge about how this technology function has not kept pace with its market development. Bridging this knowledge gap has become imperative, and addressing this challenge, battery diagnostics emerges as a viable solution. In this way, by investigating alternative sales channels, specifically the utilization of resellers, the current study aims to enhance the market penetration strategy for the optimal integration of battery diagnostics software within specific ecosystems. It was explored both the potential benefits and challenges associated with this business model resulting on the design of such strategy though literature investigation combined with market experts interviews. Additionally, it was evaluated the financial implications by considering the Total Cost of Ownership (TCO) for electric bus owners, which sector showed a high degree of readiness for such technological integration. As a result, it was revealed up to 33.24% in TCO reduction through the implementation of this solution, with maintenance costs playing a pivotal role on this process reaching up to 19.72% on one of the simulated cases, while the battery life extension achieved a reduction of up to 15.17% in another case, confirming the substantial advantages of adopting battery diagnostics technology, reaffirming its favorable impact. / En av de viktigaste källorna till världens utveckling är energi och BESS har dykt upp som avgörande komponenter i övergången från konventionella energisystem till mer hållbara och miljövänliga alternativ. Trots BESS betydelse har spridningen av kunskap om hur denna teknik fungerar inte hängt med i marknadsutvecklingen. Att överbrygga denna kunskapsklyfta har blivit absolut nödvändigt, och för att ta itu med denna utmaning framstår batteridiagnostik som en hållbar lösning. På detta sätt, genom att undersöka alternativa försäljningskanaler, särskilt utnyttjandet av återförsäljare, syftar den aktuella studien till att förbättra marknadspenetrationsstrategin för optimal integration av batteridiagnostikprogramvara inom specifika ekosystem. Det undersöktes både de potentiella fördelarna och utmaningarna förknippade med denna affärsmodell, vilket resulterade i utformningen av en sådan strategi genom litteraturundersökningar i kombination med intervjuer med marknadsexperter. Dessutom utvärderades de ekonomiska konsekvenserna genom att överväga den totala ägandekostnaden (TCO) för elbussägare, vilken sektor visade en hög grad av beredskap för sådan teknisk integration. Som ett resultat avslöjades det upp till 33,14% i TCO minskning genom implementeringen av denna lösning, med underhållskostnader som spelade en avgörande roll i denna process och nådde upp till 19,72% i ett av de simulerade fallen, medan batterilivslängden förlängdes uppnådde en minskning med upp till 15,17% i ett annat fall, vilket bekräftar de betydande fördelarna med att använda batteridiagnostiksteknik, vilket bekräftar dess positiva effekt.