Predict battery lifetime with Silver Power System technology

Prevedere la durata della batteria con la tecnologia Silver Power System

Revolutionary electric vehicle battery research programme designed to predict battery lifespan by Silver Power System and other partners.

Silver Power System (SPS) is a leader battery analytics specialist and in partnership with Imperial College, London EV Company and JSCA, the research and development division of

Watt Electric Vehicle Company, created a project and trialed the world’s most advanced ‘digital twins’ of real EV batteries, part-funded by the Advanced Propulsion Centre, the Real-Time Electrical Digital Twin Operating Platform (REDTOP).

Prevedere la durata della batteria con la tecnologia Silver Power System
Silver Power Systems Swindon. Pete, Liam, Parminder.

Until now, predicting lifespan has been difficult. While digital models of EV batteries have been created, they have lacked accurate real-world data to back them up. What’s more, not all batteries are born equal, and not all batteries are treated equally throughout their life, degrading at different rates, subject to different drivers and charging routines, further underlining the need for real-world data to be combined with machine-learning based predictive technology.

Run over the last nine months, the pioneering REDTOP (Real-time Electrical Digital Twin Operating Platform) automotive research programme has sought to bring about a step change in battery understanding, with the objective of creating the world’s most advanced battery ‘digital twin’ – a highly-sophisticated virtual model, linked to a real battery.

The revolutionary project, led by Silver Power Systems, has seen partners Imperial College, London Electric Vehicle Company (LEVC) and JSCA, the research and development division of the Watt Electric Vehicle Company, join forces on a real-world EV trial.

Since January, some 50 LEVC TX electric taxis and a new EV sports car from the Watt EV Company have collectively travelled over 500,000km as part of the programme. Each vehicle has been fitted with Silver Power Systems’ state-of-the-art data-collecting IoT device, which constantly communicates with the company’s cloud-based software.

This crucial data has been analysed by SPS’s machine learning-powered platform EV-OPS, and together with Imperial College’s battery researchers, the world’s most advanced digital twins of actual EV batteries have been created, giving not just an unprecedented view of real-time battery performance and state-of-health, but also the potential to enable these highly sophisticated battery models to predict battery lifespan.

Prevedere la durata della batteria con la tecnologia Silver Power SystemSPS’s technology has enormous benefits for a wide variety of sectors. Unparalleled monitoring gives a total picture of battery activity, identifying differences between batteries (whether performance or charging capability) and – in the long term – building up a complete picture of battery health over the life of the vehicle: a battery ledger.

For electric vehicle manufacturers this monitoring capability gives insights into battery performance enabling them to accelerate the development of battery-powered vehicles. Fleet operators can gain a complete picture of EV health across their vehicle fleet enabling them to more efficiently run their vehicles (and potentially extend their life), while fleet owners can use SPS’s capabilities to predict the future residual value of vehicles based on future battery health. As the market transitions to EVs, this is set to become of ever-increasing importance.

OEMs and battery manufacturers can use the technology to enable more accurately underwritten battery warranties, setting warranties on a new battery or managing risk on existing battery, while other sectors who can benefit include insurance providers, transport authorities, councils and even private EV owners for whom having access to data on their own vehicle’s battery performance is beneficial.

In the future, SPS’s vision is for its technology to digitally optimise EV batteries during their life.

Source: Silver Power Systems

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