A world-first, real-life trial of electric vehicles has helped evolve the development of battery modeling – a technology used to accurately predict EV battery lifespan, and something that until now has been extremely difficult to achieve.
Involving battery analytics specialist Silver Power Systems (SPS), EV manufacturers and academics, the ‘holy grail of battery modeling’ is now a step closer to enable OEMs and battery manufacturers to fleet owners and operators to understand how the battery is performing and predict how much it is likely to degrade over the vehicle’s lifetime
While digital models of EV batteries have been previously 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 program 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. Part-funded by The Advanced Propulsion Centre UK (APC), 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 traveled over 500,000km as part of the program. 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 analyzed 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.
“This really is the holy grail,” explained Pete Bishop, CTO of Silver Power Systems. “Understanding how an electric vehicle’s battery is performing right now – and predicting how it will perform over the coming years – is absolutely critical for many sectors. But to date there has been a lack of data and predictive modeling has been largely lab-based.
“By combining a robust real-world trial with our EV-OPS machine-learning analytics capability through the REDTOP program, we have not only been able to unlock an unprecedented view of real-time battery performance and state-of-health but also create the world’s most advanced digital twin enabling prediction of battery future life.”
SPS’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 optimize EV batteries during their life.
Liam Mifsud, Program Manager, Silver Power Systems added: “On top of using a combination of real-world data, machine learning and the digital twin to predict future battery degradation, we can use this technology to update an EV’s software via the cloud to change algorithms or parameters to optimize the performance of the battery as the cells age and maximize battery life. For all automotive sectors the potential to improve battery performance and overall useable life is revolutionary.”
